ICONIP2023: THE 30TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING

This page contains an index consisting of author-provided keywords.

1
1D data denoising	Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
2
2D-Multiple Signal Classification	An improved target searching and imaging method for CSAR
3
3D Face Reconstruction	A Bi-Directional Optimization Network for De-Obscured 3D High-Fidelity Surface Reconstruction
3D Hand Reconstruction	Reconstructing Challenging Hand Posture from Multi-modal Input
3D Object Detection	RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection
3D point cloud	High-Resolution Self-Attention with Fair Loss for Point Cloud Segmentation
3D Reconstruction	PLKA-MVSNet: Parallel Multi-View Stereo with Large Kernel Convolution Attention
3D scene understanding	A neural network architecture for accurate 4D vehicle pose estimation from monocular images with uncertainty assesment
3D UNet	Fast and Efficient Brain Extraction with Recursive MLP based 3D UNet
3D Visual Computation	Enhancing Camera Position Estimation by Multi-View Pure Rotation Recognition and Automated Annotation Learning
4
4D Radar	MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection
6
6D Pose Estimation	NMPose: Leveraging Normal Maps for 6D Pose Estimation
A
Abstractive Summarization	Abstractive Multi-document Summarization with Cross-Documents Discourse Relations Jointly extractive and abstractive training paradigm for text summarization
Abstractive text summarization	Multi-Granularity Contrastive Siamese Networks for Abstractive Text Summarization
Acoustic displacement	Prediction and analysis of acoustic displacement field using the method of neural network
Acoustic industrial anomaly detection	CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection
Acoustic model	Attention-Based Deep Convolutional Network for Speech Recognition under Multi-scene Noise Environment
Acoustic technology	Prediction and analysis of acoustic displacement field using the method of neural network
Action label propagation network	SGLP-Net: Sparse Graph Label Propagation Network for Weakly-Supervised Temporal Action Localization
Action Recognition	Temporal Modeling Approach for Video Action Recognition Based on Vision-Language Models Language Guided Graph Transformer for Skeleton Action Recognition
Action Value Samples	Bias Reduced Methods to Q-learning
Active Learning	MVCAL: Multi View Clustering for Active Learning A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing Biological Tissue Sections Instance Segmentation based on Active Learning Active Learning for Open-set Annotation Using Contrastive Query Strategy
Adaptive Adjustment Loss	Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios
Adaptive attention	FE-YOLOv5:Improved YOLOv5 Network for Multi-scale Drone-captured Scene Detection
Adaptive auxiliary training	An Adaptive Auxiliary Training Method of Autoencoders and its Application in Anomaly Detection
Adaptive dynamic programming	Event-Triggered Constrained $H_\infty$ Control Using Concurrent Learning and ADP
Adaptive fuzzy PID	Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks
Adaptive output tracking	Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems
Adaptive pruning	Time-Series Forecasting through Contrastive Learning with a Two-Dimensional Self-Attention Mechanism
Adaptive Scheduling	Q-Learning Based Adaptive Scheduling Method For Hospital Outpatient Clinics
Adaptive stepsize	Adaptive Accelerated Gradient Algorithm for Training Fully Complex-Valued Dendritic Neuron Model
Adaptive temporal aggregation	LIP READING USING TEMPORAL ADAPTIVE MODULE
Adaptive window	DGNN: Dependency Graph Neural Network for Multimodal Emotion Recognition in Conversation
address event representation (AER)	Event-based Object Recognition Using Feature Fusion and Spiking Neural Networks
Adversarial Attack	Adversarial Example Detection with Latent Representation Dynamic Prototype Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention
Adversarial attack attribution	Attribution of Adversarial Attacks via Multi-Task Learning
Adversarial Attacks	SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack
Adversarial example	Detecting Adversarial Examples Via Classification Difference of a Robust Surrogate Model ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving
Adversarial example detection	Adversarial Example Detection with Latent Representation Dynamic Prototype
adversarial examples	Towards undetectable adversarial examples: a steganographic perspective Neuron Attribution-Based Attacks Fooling Object Detectors
Adversarial generation model	Co-GAN:A Text-to-Image Synthesis Model with Local and Integral Features
Adversarial learning	CAS-NN: a robust cascade neural network without compromising clean accuracy Heterogeneous Graph Fusion with Adversarial Learning for Recommendation Service
Adversarial Patch	PatchFinger: A Model Fingerprinting Scheme based on Adversarial Patch
Adversarial perturbation	An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning
Adversarial Training	CAS-NN: a robust cascade neural network without compromising clean accuracy AAKD-Net:Attention-based Adversarial Knowledge Distillation Network for Image Classification Detecting Adversarial Examples Via Classification Difference of a Robust Surrogate Model Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels
AES	Differential fault analysis against AES based on a hybrid fault model
Affective Brain-computer Interfaces	Naturalistic Emotion Recognition Using EEG and Eye Movements
Agricultural document classification	Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation
AI-driven advertisement technologies	Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech
AI2-THOR	Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning
AIGC	Instance-aware and Semantic-guided Prompt for Few-shot Learning in Large Language Models
Air Quality	Spatiotemporal PM2.5 Pollution Prediction Using Cloud-Edge Intelligence
AIS data mining	Vessel Behavior Anomaly Detection using Graph Attention Network
alcoholism	Detecting Depression and Alcoholism Disorders by EEG Signal
algebraic logical model	Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles
Alzheimer’s disease	A Weakly Supervised Deep Learning Model for Alzheimer’s Disease Prognosis Using MRI and Incomplete Labels
Anchor constraint	Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs
ANN-SNN Conversion	RMPE:Reducing Residual Membrane Potential Error for Enabling High-accuracy and Ultra-low-latency Spiking Neural Networks
ANNSNN conversion	Encrypted-SNN: A Privacy-Preserving Method for converting Artificial Neural Networks to Spiking Neural Networks
Anomalous sound detection	MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection
Anomaly detection	Deep Learning-Empowered Unsupervised Maritime Anomaly Detection Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL) Detection of Anomalies and Explanation in Cybersecurity Time Series Anomaly Detection with a Transformer Residual Autoencoder-Decoder MemFlowNet: A Network for Detecting Subtle Surface Anomalies with Memory Bank and Normalizing Flow Quantum Autoencoder Frameworks for Network Anomaly Detection An Adaptive Auxiliary Training Method of Autoencoders and its Application in Anomaly Detection Few-shot Anomaly Detection in Text with Deviation Learning CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks CenAD: Collaborative Embedding Network for Anomaly Detection with Leveraging Partially Observed Anomalies Nearest Memory Augmented Feature Reconstruction for Unified Anomaly Detection Anomaly detection of fixed-wing unmanned aerial vehicle (UAV) based on cross-feature-attention LSTM network Vessel Behavior Anomaly Detection using Graph Attention Network
Anomaly Diagnosis	ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis
anomaly explanation	Detection of Anomalies and Explanation in Cybersecurity
Answer Aggregation	Learning Representations for Sparse Crowd Answers
Ant colony algorithm	Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification
Applied computing	Unleash the Capabilities of the Vision-Language Pre-training Model in Gaze Object Prediction
Approximate nearest neighbor search	CRE: An Efficient Ciphertext Retrieval Scheme based on Encoder
APT	Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL)
Arabic Question Answering Corpus	A Comprehensive Review of Arabic Question Answering Datasets
Arabic Question Answering datasets	A Comprehensive Review of Arabic Question Answering Datasets
ARIMA	Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting
Artificial bee colony	Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey
Artificial intelligence	Design of Memristor-based Binarized Multi-layer Neural Network with High Robustness
Artificial Neural Networks	Encrypted-SNN: A Privacy-Preserving Method for converting Artificial Neural Networks to Spiking Neural Networks
Aspect Level Sentiment Analysis	Dual Channel Graph Neural Network Enhanced by External Affective Knowledge for Aspect Level Sentiment Analysis
Aspect-based sentiment analysis	A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-level Sentiment Analysis
Aspect-level sentiment analysis	Aspect-level sentiment analysis using dual probability graph convolutional networks (DP-GCN) integrating multi-scale information
associative memory capacity	Structural Properties of Associative Knowledge Graphs
Associative representation	Explainable Sparse Associative Self-Optimizing Neural Networks for Classification
ASTPSI	ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward
Asymmetric Convolution	Multi-scale Structural Asymmetric Convolution for Wireframe Parsing
Asynchronous convergence	Distributed Training of Deep Neural Networks: Convergence and Case Study
Athletes performance	How to support sport management with decision systems? Swimming athletes assessment study case
Atmospheric pollution	Prior-Enhanced Network for Image-based PM2.5 Estimation from Imbalanced Data Distribution
Attack forensics	An Attack Entity Deducing Model for Attack Forensics
Attention	Efficient Attention for Domain Generalization Human-to-Human Interaction Detection Interactive Selection Recommendation Based on the Multi-Head Attention Graph Neural Network An End-To-End Structure with novel position mechanism and improved EMD for Stock Forecasting Mastering Complex Coordination through Attention-based Dynamic Graph Landmark-assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting AttnOD: An Attention-based OD Prediction Model with Adaptive Graph Convolution Social-CVAE: Pedestrian Trajectory Prediction using Conditional Variational Auto-Encoder
Attention mecha-nism	Aspect-level sentiment analysis using dual probability graph convolutional networks (DP-GCN) integrating multi-scale information
Attention mechanism	STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network Two-Stage Attention Model to Solve Large-Scale Traveling Salesman Problems Traffic Signal Control Optimization Based on Deep Reinforcement Learning With Attention Mechanisms POI Recommendation based on Double-level Spatio-temporal Relationship in Locations and Categories A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-level Sentiment Analysis MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networks Applications of Quantum Embedding in Computer Vision Graph Attention Network Knowledge Graph Completion Model Based on Relational Aggregation Fashion Trend Forecasting Based on Multivariate Attention Fusion Enhanced State-Aware Traffic Light Optimization Control Method GoatPose: A Lightweight and Efficient Network with Attention Mechanism MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection UATR: An Uncertainty Aware Two-stage Refinement Model for Targeted Sentiment Analysis Design of a Multimodal Short Video Classification Model Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search SLAM: A Lightweight Spatial Location Attention Module for Object Detection 6D Object Pose Estimation with Attention Aware Bi-Gated Fusion BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval
Attention mechanisms	Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types
Attention model	Attention-Based Deep Convolutional Network for Speech Recognition under Multi-scene Noise Environment
Attention Module	An Improved YOLOv5s for Glass Tube Defect Detection An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection
Attention modules	SGLP-Net: Sparse Graph Label Propagation Network for Weakly-Supervised Temporal Action Localization
attention scheme	Semantic Line Detection Using Deep-Hough Network with Attention Mechanism and Strip Convolution
Attentive graph convolutional network	Efficient Chinese Relation Extraction with Multi-entity Dependency Tree Pruning and Path-Fusion
Attribute Extraction	EDDVPL: A Web Attribute Extraction Method with Prompt Learning
Attribution Graph	Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks
Auction	Improving Deep Learning Powered Auction Design
Audio processing	MelMAE-VC: Extending Masked Autoencoders to Voice Conversion
Audio-Visual	Exploring Efficient-Tuned Learning Audio Representation Method from BriVL
autism spectrum disorder	Aided diagnosis of autism spectrum disorder based on a mixed neural network model
Auto ML	Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation
Auto-CoT	A Three-Stage Framework For Event-Event Relation Extraction with Large Language Model
Auto-encoder	Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information
Autoencoder	An Adaptive Auxiliary Training Method of Autoencoders and its Application in Anomaly Detection Amortized variational inference via Nosé-Hoover Thermostat Hamiltonian Monte Carlo Novel Method for Radar Echo Target Detection
Automatic Identification System	Deep Learning-Empowered Unsupervised Maritime Anomaly Detection A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance
Automatic reduction of dimensionality	Explainable Sparse Associative Self-Optimizing Neural Networks for Classification
Automatic Speech Recognition	Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
Autonomous aerial vehicles	Anomaly detection of fixed-wing unmanned aerial vehicle (UAV) based on cross-feature-attention LSTM network
Autonomous Driving	SODet: A LiDAR-based Object Detector in Bird's-Eye View ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving S-CGRU: An Efficient Model for Pedestrian Trajectory Prediction
Autonomous robots	Human-guided Transfer Learning for Autonomous Robot
Autoregressive	A Novel Framework for Forecasting Mental Stress Levels based on Physiological Signals
Auxiliary network	MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding
B
B-spline Curve	A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis
Back-translation	Multi-Task Feature Self-Distillation for Semi-Supervised Machine Translation
Backdoor cleansing	SDBC: A Novel and Effective Self-Distillation Backdoor Cleansing Approach
Balanced Dataset	Effects of Brightness and Class-unbalanced Dataset on CNN Model Selection and Image Classification considering Autonomous Driving
Balanced partition	A Memory Optimization Method for Distributed Training
battery fast-charging	Mitigation of Voltage Violation for Battery Charging Based on Data-Driven Optimization
bayesian inference	Improving SLDS performance using explixit duration variables with infinite support
Bayesian methods	Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
Bayesian network	A Causality-Based Interpretable Cognitive Diagnosis Model
Bayesian neural network	UATR: An Uncertainty Aware Two-stage Refinement Model for Targeted Sentiment Analysis
Bayesian Optimization	Brain-inspired Binaural Sound Source Localization Method Based On Liquid State Machine
BCI	A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI
BCM-PAN	A lightweight safety helmet detection network based on bidirectional connection module and Polarized Self-Attention
Behavior Trees	Temporal Task Graph based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games
Beluga Whale Optimizer	Optimizing 3D UAV Path Planning: An Approach Incorporating Multiple Mechanisms and Beluga Whale Optimizer
benchmark	Human-to-Human Interaction Detection
BERT	BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval A Data-free Substitute Model Training Method for Textual Adversarial Attacks
BERT analysis	Empirical Analysis of Multi-label Classification on GitterCom using BERT
BERT-LR	Research on Relation Extraction Based on BERT with Multifaceted Semantics
Berth allocation problem	Evolutionary Computation for Berth Allocation Problems: A Survey
Bi-LSTM	EEG epileptic seizure classification using hybrid time-frequency attention deep network
Bias	Bias Reduced Methods to Q-learning
Bias-Variance Tradeoff	Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff
Bidirectional Gated Recurrent Unit	Botnet Detection Method based on NSA and DRN
Bidirectional information	PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
BiFPN	Text Spotting of Electrical Diagram Based on Improved PP-OCRv3
Big data analysis	Enhanced Generation of Human Mobility Trajectory with Multiscale model
bilevel programming	Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer
bilingual semantics	DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks
BiLSTM	Few-Shot NER in Marine Ecology using Deep Learning
Binarized neural network	Design of Memristor-based Binarized Multi-layer Neural Network with High Robustness
Binary Mother Tree Algorithm	Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem
Binaural Sound Source Localization	Brain-inspired Binaural Sound Source Localization Method Based On Liquid State Machine
binding affinity	Multi-Scale Feature Fusion Neural Network for Accurate Prediction of Drug-Target Interactions
Bioinformatic	Soybean Genome Clustering using Quantum-Based Fuzzy C-Means Algorithm
biological tissue section	Biological Tissue Sections Instance Segmentation based on Active Learning
Biomedical infrared imaging	Non-Contact Respiratory Flow Extraction from Infrared Images Using Balanced Data Classification
Biomedical measurement	Non-Contact Respiratory Flow Extraction from Infrared Images Using Balanced Data Classification
Bird's-Eye View	SODet: A LiDAR-based Object Detector in Bird's-Eye View
Birds-Eye-View	Progressive Temporal Transformer for Bird's-Eye-View Camera Pose Estimation
Bit Plane Compression	Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression
Black-box	An Interpretable Vulnerability Detection Method Based on Multi-task Learning
Black-Box Attacks	SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack
block cipher	Differential fault analysis against AES based on a hybrid fault model
Block Matching Module	Block-Matching Multi-Pedestrian Tracking
Blockchain	Multi-model smart contract vulnerability detection based on BiGRU PoShapley-BCFL: A fair and robust decentralized federated learning based on blockchain and the proof of Shapley-value
Bloom Filter	Bloomfilter-based Practical Kernelization Algorithm for Minimum Satisfiability
Bone Marrow Smear	TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection
Border security	RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study
Botnet Detection	Botnet Detection Method based on NSA and DRN
Brain computer interface	Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
Brain Extraction	Fast and Efficient Brain Extraction with Recursive MLP based 3D UNet
Brain functional connectivity	SLG-NET: Subgraph Neural Network with Local-Global Braingraph Feature Extraction Modules and a Novel Subgraph Generation Algorithm for Automated Identification of Major Depressive Disorder
brain tumor	Research on automatic segmentation algorithm of brain tumor image based on multi-sequence self-supervised fusion in complex scenes
brain-computer interface (BCI)	SSVEP Data Augmentation based on Filter Band Masking and Random Phase Erasing
Brain-inspired Computing	Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds
Brain-inspired simultaneous localization and mapping	Semantic-pixel Associative Information improving Loop Closure Detection and Experience Map Building for Efficient Visual Representation
Brain-to-image reconstruction	RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning
breathing phase	ONEI: Unveiling Route and Phase of Breathing from Snoring Sounds
BSR	A 3D UWB hybrid localization method based on BSR and L-AOA
Building Heights	Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery
C
Calibration	CKR-Calibrator: Convolution Kernel Robustness Evaluation and Calibration
Camera Pose Estimation	Progressive Temporal Transformer for Bird's-Eye-View Camera Pose Estimation
Cancellable biometric	Cancellable iris recognition scheme based on inversion fusion and local ranking
Cancer classification	T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
Canonical correlation analysis	Many Is Better than One: Multiple Covariation Learning for Latent Multiview Representation
Capillaries	Ignored Details in Eyes: Exposing GAN-generated Faces by Sclera
Capsule Network	HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
Car Damage Segmentation	Generating Pseudo-Labels for Car Damage Segmentation using Deep Spectral Method
CARAFE	A lightweight safety helmet detection network based on bidirectional connection module and Polarized Self-Attention
Cardiac MRI	Multi-Level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-Supervised Cardiac MRI Segmentation
Cascade neural network	CAS-NN: a robust cascade neural network without compromising clean accuracy
Categories	POI Recommendation based on Double-level Spatio-temporal Relationship in Locations and Categories
Category-wise representation	Category-wise Meal Recommendation
Causal discovery	Latent Causal Dynamics Model for Model-based Reinforcement Learning
Causal emotion entailment	Discourse-Aware Causal Emotion Entailment
Causal graphs	An Attack Entity Deducing Model for Attack Forensics
Causal Inference	Causal-Inspired Influence Maximization in Hypergraphs Under Temporal Constraints Debiasing Medication Recommendation with Counterfactual Analysis
Causal relations	A Causality-Based Interpretable Cognitive Diagnosis Model
Cell Morphology	TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection
Cell recognition	Adaptive Focal Inverse Distance Transform Maps for Cell Recognition
ceramic formula design	An Interactive Evolutionary Algorithm for Ceramic Formula Design
Chain-of-Thought	Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method
Channel Attention	Channel Attention Separable Convolution Network for Skin Lesion Segmentation
Channel Attention Mechanism	Human-Object Interaction Detection with Channel Aware Attention
Channel Audio Encoder	AudioFormer: Channel Audio Encoder Based on Multi-Granularity Features
Channel Fusion	Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion
Channel-aware	CM-TCN: Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion Recognition
Charge prediction	How Legal Knowledge Graph Can Help Predict Charges for Legal Text
Charging station	Graph Reinforcement Learning For Securing Critical Loads By E-mobility
ChatGPT	Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation
Checkpoint Averaging	Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff
Chest X-ray	A Federated Multi-Stage Light-Weight Vision Transformer for Respiratory Disease Detection IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
China-US relation	Reimagining China-US Relations Prediction: A Multi-Modal, Knowledge-Driven Approach with KDSCINet
Chinese Discourse Parsing	Topic-aware Two-layer Context-enhanced Model for Chinese Discourse Parsing
Chinese legal summarization	Enhancing LSTM and fusing articles of law for legal text summarization
Chinese novels	A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application
Chinese painting classification	Pushing the Boundaries of Chinese Painting Classification on Limited Datasets: Introducing a Novel Transformer Architecture with Enhanced Feature Extraction
Chinese RE	Efficient Chinese Relation Extraction with Multi-entity Dependency Tree Pruning and Path-Fusion
Chinese short text	CBDN: A Chinese short-text classification model based on Chinese BERT and fused deep neural networks
Chinese Spell Checking	PYGC: a PinYin Language Model Guided Correction Model for Chinese Spell Checking
CIE XYZ Color Space	CInvISP: Conditional Invertible Image Signal Processing Pipeline
Circular FC	Circular FC: Fast Fourier Transform Meets Fully Connected Layer For Convolutional Neural Network
Circular Synthetic Aperture Radar	An improved target searching and imaging method for CSAR
Class Activation Mapping	Towards better evaluations of class activation mapping and interpretability of CNNs
Class Imbalance	Handling Class Imbalance in Forecasting Parkinson's Disease Wearing-off with Fitness Tracker Dataset
Class integration test order	A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings
Class-wise Adaptability	ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization
Classification	T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification Multiclass Classification and Defect Detection of Steel tube using modified YOLO Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion
Classification Tasks	Reward-Dependent and Locally Modulated Hebbian Rule for Pattern Classification
Classifier regularization	Domain Generalization via Implicit Domain Augmentation
Classmates Relationships	MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network
click-through rate prediction	GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
CLIP	Efficient Prompt Tuning for Vision and Language Models Temporal Modeling Approach for Video Action Recognition Based on Vision-Language Models Multimodal Event Classification in Social Media Language Guided Graph Transformer for Skeleton Action Recognition
Clock optimization	A Memory Optimization Method for Distributed Training
Cloud Computing	Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression
Cloud Data Center	Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center
Clustering	MVCAL: Multi View Clustering for Active Learning Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point Dual-Branch Contrastive Learning for Network Representation Learning
CNN	Non-Contact Respiratory Flow Extraction from Infrared Images Using Balanced Data Classification EEG epileptic seizure classification using hybrid time-frequency attention deep network IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification An Adaptive Detector for Few Shot Object Detection Circular FC: Fast Fourier Transform Meets Fully Connected Layer For Convolutional Neural Network Detecting Adversarial Examples Via Classification Difference of a Robust Surrogate Model Neuron Attribution-Based Attacks Fooling Object Detectors
CNN-LSTM Networks	Spatiotemporal PM2.5 Pollution Prediction Using Cloud-Edge Intelligence
CNN-LSTM Parallel Networks	A Novel Machine Learning Model using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption
CNNs	Effects of Brightness and Class-unbalanced Dataset on CNN Model Selection and Image Classification considering Autonomous Driving
co-occurrence	Extending DenseHMM with Continuous Emission
Co-reference resolution	Dual-Enhancement Model of Entity Pronouns and Evidence Sentence for Document-level Relation Extraction
CODAS	Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions
Code search	Multi-intent Description of Keyword Expansion for Code Search
code splitting	LenANet: A Length-controllable Attention Network for Source Code Summarization
code summarization	LenANet: A Length-controllable Attention Network for Source Code Summarization
Cognitive diagnosis	ASRCD: Adaptive Serial Relation-based Model for Cognitive Diagnosis A Causality-Based Interpretable Cognitive Diagnosis Model
cognitive load	Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels
Cognitive score prediction	A Weakly Supervised Deep Learning Model for Alzheimer’s Disease Prognosis Using MRI and Incomplete Labels
Cold-start Recommendations	Domain-Invariant Task Optimization for Cross-domain Recommendation
Collaboration Modelling	Efficient Collaboration via Interaction Information in Multi-Agent System
Collaborative Filtering	Deep Learning Based Personalized Stock Recommender System
Collaborative task execution	Intelligent UAV Swarm Planning Based on Undirected Graph Model
Collaborative-temporal modeling	Modeling Both Collaborative and Temporal Information for Sequential Recommendation
Collision avoidance	High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems
Colonoscopy	DAMFormer: Enhancing Polyp Segmentation through Dual Attention Mechanism
Colorectal Cancer	FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies
Combinatorial optimization	Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics
Combined with 3D Transformers and 2D CNN	A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN.
COMET	Determination of local and global decision weights based on fuzzy modeling
Common Lyapunov-Krasovskii functional	New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control
Commonsense	CACL:Commonsense-Aware Contrastive Learning for Knowledge Graph Completion
Commonsense question answering	Knowledge Prompting with Contrastive Learning for Unsupervised Commonsense Question Answering Informative Prompt Learning for Low-shot Commonsense Question Answering via Fine-Grained Redundancy Reduction
communication compression	Communication-Efficient Distributed Minimax Optimization via Markov Compression
Community analysis	Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks
Complex Networks	Predefined-time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control
Complex number Neural Network	S-CGRU: An Efficient Model for Pedestrian Trajectory Prediction
Complex-valued accelerated gradient algorithm	Adaptive Accelerated Gradient Algorithm for Training Fully Complex-Valued Dendritic Neuron Model
Complex-valued laser	Solving the inverse problem of laser with complex-valued field by physics-informed neural networks
Compressed learning	Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data
Compute Unified Device Architecture (CUDA)	A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems
Computer Vision	Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN MVCAL: Multi View Clustering for Active Learning DOS Dataset: A Novel Indoor Deformable Object Segmentation Dataset for Sweeping Robots Introducing Semantic-based Receptive Field into Semantic Segmentation via Graph Neural Networks Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through fine-tuning of object detection models Text-to-Image Synthesis With Threshold-Equipped Matching-Aware GAN NMPose: Leveraging Normal Maps for 6D Pose Estimation Text to Image Generation with Conformer-GAN FalconNet: Factorization for the Light-weight ConvNets Hybrid U-Net: Instrument Semantic Segmentation in RMIS VFIQ: A Novel Model of ViT-FSIMc Hybrid Siamese Network for Image Quality Assessment Sample Selection based on Uncertainty for Combating Label Noise
Computing Outsourcing	Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing
Concept drift	CPSSDS-R:Data stream semi-supervised classification algorithm based on conformal prediction
Concept serial relation	ASRCD: Adaptive Serial Relation-based Model for Cognitive Diagnosis
Conditional diffusion model	Diff-Writer: A Diffusion Model Based Stylized Online Handwritten Chinese Character Generator
Conditional GAN	Generating Spatiotemporal Trajectories with GANs and Conditional GANs
Conditional image generation	PAG: Protecting Artists’ Works from Personlizing Image Generative Models
Conditional Variational Auto-Encoder	Social-CVAE: Pedestrian Trajectory Prediction using Conditional Variational Auto-Encoder
Configuration adjustment	Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level
Consensus control	Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems Distributed State Estimation for Multi-Agent Systems Under Consensus Control
Constant step-size	A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization
Constrained Adaptive filtering	Recursive Constrained Maximum Versoria Criterion Algorithm for Adaptive Filtering
constraint clustering	Partial Multi-label Learning via Constraint Clustering
Content Plan	Staged Long Text Generation with Progressive Task-Oriented Prompts
Content-Based Approach	Deep Learning Based Personalized Stock Recommender System
Context Information	Human-Object Interaction Detection with Channel Aware Attention
Continual learning	Continual Domain Adaption for Neural Machine Translation
Continuous latent representation	Exploring Non-Isometric Alignment Inference for Representation Learning of Irregular Sequences
Continuous Model	AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs
Continuous schedule	Joint Regularization Knowledge Distillation
Contour feature extraction	YOLO-D: Dual-branch infrared distant target detection based on multi-level weighted feature fusion
Contrast Learning	ECOST: Enhanced CoST Framework for Fast and Accurate Time Series Forecasting
Contrastive Learning	CACL:Commonsense-Aware Contrastive Learning for Knowledge Graph Completion Time-Series Forecasting through Contrastive Learning with a Two-Dimensional Self-Attention Mechanism Semantic Segmentation of Multispectral Remote Sensing Images with Class Imbalance Using Contrastive Learning Enhancing Spatial Consistency and Class-level Diversity for Segmenting Fine-grained Objects Policy Representation Opponent Shaping via Contrastive Learning Trajectory Prediction with Contrastive Pre-training and Social Rank Fine-tuning CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection MIC: An Effective Defense Against Word-level Textual Backdoor Attacks MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions Knowledge Prompting with Contrastive Learning for Unsupervised Commonsense Question Answering Contrastive Learning Augmented Graph Auto-Encoder for Graph Embedding Novel-Registrable Weights and Region-Level Contrastive Learning for Incremental Few-Shot Object Detection Landmark-assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning Contrastive Learning-Based Music Recommendation Model An Alignment and Matching Network with Hierarchical Visual Features for Multimodal Named Entity and Relation Extraction Matrix Contrastive Learning for Short Text Clustering Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models Multi-Granularity Contrastive Siamese Networks for Abstractive Text Summarization Leveraging Hierarchical Similarities for Contrastive Clustering RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition Decoupling Style from Contents for Positive Text Reframing Multi-view Contrastive learning for Knowledge-aware Recommendation Contrastive Kernel Subspace Clustering An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning Weakly Supervised Temporal Action Localization Through Segment Contrastive Learning Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs Debiasing Medication Recommendation with Counterfactual Analysis A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding Pre-trained Financial Model for Price Movement Forecasting Rumor Detection with Supervised Graph Contrastive Regularization Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-modal Retrieval
Contrastive Query Strategy	Active Learning for Open-set Annotation Using Contrastive Query Strategy
Contribution Evaluation	PoShapley-BCFL: A fair and robust decentralized federated learning based on blockchain and the proof of Shapley-value
Conventional and non-conventional approaches	Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech
Conversational Recommendation Systems	Long Short-Term Planning for Conversational Recommendation Systems
Conversational Recommender System	User Multi-Preferences Fusion for Conversational Recommender Systems
conversational search	Improve Conversational Search with Multi-Document Information
Convolution kernel	CKR-Calibrator: Convolution Kernel Robustness Evaluation and Calibration
Convolutional Neural Network	Privacy-preserving Image Classification and Retrieval Scheme over Encrypted Images Leveraging Two-scale Features to Enhance Fine-grained Object Retrieval Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience A Multi-Scale and Multi-Attention Network for Skin Lesion Segmentation Infrared Target Recognition Technology Based On Small Sample Learning Novel Method for Radar Echo Target Detection
Convolutional neural networks	MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networks A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition CInvISP: Conditional Invertible Image Signal Processing Pipeline
Cooperation	SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism
Cooperative task	MRRC: Multi-Agent Reinforcement Learning with Rectification Capability in Cooperative Tasks
Coordinate Attention	Multiclass Classification and Defect Detection of Steel tube using modified YOLO
Coordination	Mastering Complex Coordination through Attention-based Dynamic Graph
Coreference Resolution	FEGI: A Fusion Extractive-Generative Model for Dialogue Ellipsis and Coreference Integrated Resolution
coronary heart disease	Applications of Deep Learning Methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record
Correlated subgraph	Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs
Cosine Warmup	An Improved YOLOv5s for Glass Tube Defect Detection
Counterfactual Analysis	Debiasing Medication Recommendation with Counterfactual Analysis
COVID-19 detection	Federated learning using the Particle Swarm Optimization model for the early detection of COVID-19
Crash forecasting	Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features
critical graph density	Structural Properties of Associative Knowledge Graphs
Critical load	Graph Reinforcement Learning For Securing Critical Loads By E-mobility
CRNN	Tigrinya OCR: Applying CRNN for Text Recognition
Cross attention	Adversarial Example Detection with Latent Representation Dynamic Prototype
Cross chain	Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data
Cross language	Sentiment Analysis Based on Pre-trained Language Models: Recent Progress
Cross modality	Co-GAN:A Text-to-Image Synthesis Model with Local and Integral Features
Cross-attention	Graph-based Vehicle Keypoint Attention Model for Vehicle Re-identification STFormer: Cross-Level Feature Fusion in Object Detection
Cross-Domain Recommendation	Graph Convolutional Network based Feature Constraints Learning for Cross-Domain Adaptive Recommendation Domain-Invariant Task Optimization for Cross-domain Recommendation
Cross-lingual	MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding
Cross-Lingual Scenario	Transductive Cross-Lingual Scene-Text Visual Question Answering
cross-lingual summarization	DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks
Cross-Modal	CMMix: Cross-Modal Mix Augmentation between Images and Texts for Visual Grounding Cross-Modal Method based on Self-Attention Neural Networks for Drug-Target Prediction
Cross-modal fusion transformer	DGNN: Dependency Graph Neural Network for Multimodal Emotion Recognition in Conversation
Cross-modal Hashing	Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval
Cross-modal retrieval	S3ACH: Semi-Supervised Semantic Adaptive Cross-modal Hashing Text-based Person Re-ID by Saliency Mask and Dynamic Label Smoothing Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-modal Retrieval
cross-modality	MGFNet: A Multi-Granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-Identification
cross-page	GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
Cross-regional intersections	Interactive Attention-Based Graph Transformer for Multi-Intersection Traffic Signal Control
cross-task interaction	A Novel Iterative Fusion Multi-Task Learning Framework for Solving Dense Prediction
Cross-Validation Estimator	Bias Reduced Methods to Q-learning
CrossModal Enhancement	Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement
Crowd counting	Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting
Crowded Navigation	CrowdNav-HERO: Pedestrian Trajectory Prediction Based Crowded Navigation with Human-Environment-Robot Ternary Fusion
Crowdsensing	Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach
Crowdsourcing	Learning Representations for Sparse Crowd Answers Label Selection Approach to Learning from Crowds
Crowdsourcing Software Development	A Developer Recommendation Method Based on Disentangled Graph Convolutional Network
CSO algorithm	Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction
Curiosity Psychology	Curiosity Enhanced Bayesian Personalized Ranking for Recommender Systems
Curriculum Learning	Dynamic Knowledge Distillation for Reduced Easy Examples
Curvature	Adaptive Accelerated Gradient Algorithm for Training Fully Complex-Valued Dendritic Neuron Model
Curve mapping	Curve Enhancement: A No-Reference Method for Low-light Image Enhancement
Customer churn prediction	Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction
cyber security	Detection of Anomalies and Explanation in Cybersecurity Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation
Cybersecurity FL	Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL)
Cybersickness	Modeling online adaptive navigation in virtual environments based on PID control
Cyclic motion generation	Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level
D
Data augmentation	Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation SSVEP Data Augmentation based on Filter Band Masking and Random Phase Erasing Multi-Granularity Contrastive Siamese Networks for Abstractive Text Summarization CMMix: Cross-Modal Mix Augmentation between Images and Texts for Visual Grounding Hazardous Driving Scenario Identification with Limited Training Samples Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction
data center	Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers
Data Compression	Accelerate Support Vector Clustering via Spectral Data Compression
Data Drift	EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Data Generation	Enhanced Generation of Human Mobility Trajectory with Multiscale model
Data Imbalance Methods	Empirical Analysis of Multi-label Classification on GitterCom using BERT
Data integrity	Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data
Data Privacy	M$^3$FGM:A Node Masking and Multi-granularity Message passing-based Federated Graph Model for Spatial-Temporal Data Prediction Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification
Data protection and privacy	Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech
Data reconstruction attack	Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data
Data scarcity	Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection
Data sparsity	All You See is the Tip of the Iceberg: Distilling Latent Interactions can Help You Find Treasures
Data Visualization	Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point
Data-Dependent	Removing Double Descent with Data-dependent Regularization under Non-Asymptotic View
Dataset	Reconstructing Challenging Hand Posture from Multi-modal Input
dataset bias	Can You Really Reason: A Novel Framework for Assessing Natural Language Reasoning Datasets and Models
Dataset Expansion	Algorithm for Generating Tire Defect Images Based on RS-GAN
DeBERTa	A Joint Identification Network for Legal Event Detection
Decentralized verification	Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data
Decision Hindsight	End-to-End Urban Autonomous Navigation with Decision Hindsight
Decision Making	Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case
Decision Support Systems	Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case
Decision-making	PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic How to support sport management with decision systems? Swimming athletes assessment study case
Decoder	Jointly extractive and abstractive training paradigm for text summarization
Deep Clustering	Matrix Contrastive Learning for Short Text Clustering Leveraging Hierarchical Similarities for Contrastive Clustering
deep convolutional neural networks	Effi-Seg: Rethinking EfficientNet Architecture for Real-time Semantic Segmentation
Deep graph matching	A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance
Deep hashing	Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs
deep Hough network	Semantic Line Detection Using Deep-Hough Network with Attention Mechanism and Strip Convolution
Deep Imbalanced Regression	LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression
Deep learning	STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network Efficient Prompt Tuning for Vision and Language Models RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN Deep Learning-Empowered Unsupervised Maritime Anomaly Detection Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through fine-tuning of object detection models Effi-Seg: Rethinking EfficientNet Architecture for Real-time Semantic Segmentation Curve Enhancement: A No-Reference Method for Low-light Image Enhancement Multi-granularity Deep Vulnerability Detection using Graph Neural Networks Chinese Medical Intent Recognition Based on Multi-feature Fusion Improving Deep Learning Powered Auction Design A Memory Optimization Method for Distributed Training Multi-view Consistency View Synthesis Text to Image Generation with Conformer-GAN Explainable Offensive Language Classifier Solving Localized Wave Solutions of the Nonlinear PDEs using Physics-Constraint Deep Learning Method Image Inpaiting with Semantic U-Transformer Depth Normalized Stable View Synthesis Co-GAN:A Text-to-Image Synthesis Model with Local and Integral Features Semantic Line Detection Using Deep-Hough Network with Attention Mechanism and Strip Convolution PLKA-MVSNet: Parallel Multi-View Stereo with Large Kernel Convolution Attention Applications of Deep Learning Methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework Hybrid U-Net: Instrument Semantic Segmentation in RMIS Instance-aware and Semantic-guided Prompt for Few-shot Learning in Large Language Models FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies Towards better evaluations of class activation mapping and interpretability of CNNs Multi-model smart contract vulnerability detection based on BiGRU TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection A Weakly Supervised Deep Learning Model for Alzheimer’s Disease Prognosis Using MRI and Incomplete Labels A Multi-Scale and Multi-Attention Network for Skin Lesion Segmentation LUT-LIC: Look-up Table-Assisted Learned Image Compression Fashion Trend Forecasting Based on Multivariate Attention Fusion Multi-Scale Feature Fusion Neural Network for Accurate Prediction of Drug-Target Interactions Aided diagnosis of autism spectrum disorder based on a mixed neural network model A neural network architecture for accurate 4D vehicle pose estimation from monocular images with uncertainty assesment Enhanced Generation of Human Mobility Trajectory with Multiscale model Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease Design of a Multimodal Short Video Classification Model Sample Selection based on Uncertainty for Combating Label Noise TPTGAN: Two-Path-Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping For Speech Enhancement A Novel Approach for Improved Pedestrian Walking Speed Prediction: Exploiting Proximity Correlation A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation Spatial Gene Expression Prediction using Hierarchical Sparse Attention Efficient Lightweight Network with Transformer-based Distillation for Micro-crack Detection of Solar Cells DAMFormer: Enhancing Polyp Segmentation through Dual Attention Mechanism Multi-Scale Information Fusion Combined with Residual Attention for Text Detection A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN. Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates
Deep learning approaches	Unleash the Capabilities of the Vision-Language Pre-training Model in Gaze Object Prediction
Deep Networks	Comparative Analysis of the Linear Regions in ReLU and LeakyReLU Networks
Deep neural network	PTCP: Alleviate Layer Collapse in Pruning at Initialization via Parameter Threshold Compensation and Preservation EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices Accurate Latency Prediction of Deep Learning Model Inference under Dynamic Runtime Resource Attribution of Adversarial Attacks via Multi-Task Learning PatchFinger: A Model Fingerprinting Scheme based on Adversarial Patch
Deep neural networks	SDBC: A Novel and Effective Self-Distillation Backdoor Cleansing Approach A DNN-based Learning Framework for Continuous Movements Segmentation IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search
deep Q network	Traffic Signal Optimization at T-shaped intersections Based on Deep Q Networks
Deep Q-Network	Traffic Signal Control Optimization Based on Deep Reinforcement Learning With Attention Mechanisms
Deep reinforcement learning	Traffic Signal Control Optimization Based on Deep Reinforcement Learning With Attention Mechanisms CrowdNav-HERO: Pedestrian Trajectory Prediction Based Crowded Navigation with Human-Environment-Robot Ternary Fusion ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward Enhanced State-Aware Traffic Light Optimization Control Method Multi-Mobile Object Motion Coordination with Reinforcement Learning
Deep Spectral Method	Generating Pseudo-Labels for Car Damage Segmentation using Deep Spectral Method
Deep Supervision	TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection
Defect Detection	Multiclass Classification and Defect Detection of Steel tube using modified YOLO An Improved YOLOv5s for Glass Tube Defect Detection Algorithm for Generating Tire Defect Images Based on RS-GAN Efficient Lightweight Network with Transformer-based Distillation for Micro-crack Detection of Solar Cells
Defense Against Textual Backdoor Attacks	MIC: An Effective Defense Against Word-level Textual Backdoor Attacks
Deformable Attention	Three-Dimensional Medical Image Fusion with Deformable Cross-Attention
Deformable convolution	Light Field Image Super-Resolution via Global-View Information Adaptation-Guided Deformable Convolution Network
Deinterlacing	Transformer-based Video Deinterlacing Method
Dendritic Neural Model	Mutually Guided Dendritic Neural Models
Dendritic Neural Network Model	Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction
Denoising	Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition
dense prediction	A Novel Iterative Fusion Multi-Task Learning Framework for Solving Dense Prediction
Dental caries	A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images
Dependency Tree pruning Strategy	Efficient Chinese Relation Extraction with Multi-entity Dependency Tree Pruning and Path-Fusion
Dependency trees	A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-level Sentiment Analysis
depression	Detecting Depression and Alcoholism Disorders by EEG Signal
depth representations	Multi-View Stereo by Fusing Monocular and a Combination of Depth Representation Methods
Dermoscopic	Channel Attention Separable Convolution Network for Skin Lesion Segmentation
detection	Detecting Adversarial Examples Via Classification Difference of a Robust Surrogate Model
Developer Recommendation	A Developer Recommendation Method Based on Disentangled Graph Convolutional Network
Deviation learning	Few-shot Anomaly Detection in Text with Deviation Learning
DFA	Differential fault analysis against AES based on a hybrid fault model
Diachronic information	Diachronic Named Entity Disambiguation for Ancient Chinese Historical Records
Diagnose System Failures	ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis
Dialogue generation	A Meta Learning-based Training Algorithm for Robust Dialogue Generation
Dialogue systems	FEGI: A Fusion Extractive-Generative Model for Dialogue Ellipsis and Coreference Integrated Resolution
Differentiable Binarization	Multi-level Feature Enhancement Method For Medical Text Detection
Differential equations	Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations
differential evolution	On Searching for Minimal Integer Representation of Undirected Graphs
Differential evolution algorithm	Responsive CPG-Based Locomotion Control for Quadruped Robots
differential privacy	Differential Private (Random) Decision Tree without Adding Noise
Dilated Residual Network	Botnet Detection Method based on NSA and DRN
dimensionality reduction	Unsupervised Feature Selection Using Both Similar and Dissimilar Structures
Directed graph	Multi-scale Directed Graph Convolution Neural Network for Node Classification Task
Directed Relational Transitivity	Embedding Entity and Relation for Knowledge Graph by Probability Directed Graph
Dirichlet Multinomial Mixture	Topic Modeling for Short Texts via Adaptive Pólya Urn Dirichlet Multinomial Mixture
disambiguation	Partial Multi-label Learning via Constraint Clustering
Discourse aware	Discourse-Aware Causal Emotion Entailment
Discourse Rhetorical Structure	Abstractive Multi-document Summarization with Cross-Documents Discourse Relations
Discrete Algorithms	Theoretical Analysis of Gradient-Zhang Neural Network for Time-Varying Equations and Improved Method for Linear Equations
Discriminative entity semantic	Learning Discriminative Semantic and Multi-View Context for Domain Adaptive Few-shot Relation Extraction
discriminative learning module	Contrastive Hierarchical Gating Networks for Rating Prediction
disease diagnosis	Applications of Deep Learning Methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record
Disease progression	A Weakly Supervised Deep Learning Model for Alzheimer’s Disease Prognosis Using MRI and Incomplete Labels
Disentangle Representation Learning	A Developer Recommendation Method Based on Disentangled Graph Convolutional Network
Disentangled Representation Learning	Disentangling Node Metric Factors For Temporal Link Prediction
Distance transform	Adaptive Focal Inverse Distance Transform Maps for Cell Recognition
Distantly supervised	NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction
distillation	Detecting Adversarial Examples Via Classification Difference of a Robust Surrogate Model
Distributed constrained optimization	A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization
Distributed Deep Learning	Distributed Training of Deep Neural Networks: Convergence and Case Study
Distributed kWTA	A Distributed kWTA for Decentralized Auctions
Distributed neurodynamic approach	Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses
distributed optimal formation	A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System
distributed optimization	Communication-Efficient Distributed Minimax Optimization via Markov Compression
Distributed output tracking	Distributed State Estimation for Multi-Agent Systems Under Consensus Control
Distributed state estimation	Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems Distributed State Estimation for Multi-Agent Systems Under Consensus Control
Distribution Consistency	Multi-View Stereo by Fusing Monocular and a Combination of Depth Representation Methods
distribution-dependent regularization	Contrastive Learning Augmented Graph Auto-Encoder for Graph Embedding
Distributional Reinforcement Learning	Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
Disturbances	Predefined-time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control
Diversity	Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Diversity Enhancement	ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization
DNA Design	The Construction of DNA coding sets by An Intelligent Optimization Algorithm: TMOL-TSO
Document image	Progressive Supervision for Tampering Localization in Document Images
Document modeling	Make Spoken Document Readable: Leveraging Graph Attention Networks for Chinese Document-Level Spoken-to-Written Simplification
Document-level	Event-aware Document-level Event Extraction via Multi-granularity Event Encoder
Document-level relation extraction	Dual-Enhancement Model of Entity Pronouns and Evidence Sentence for Document-level Relation Extraction Document-Level Relation Extraction with Relation Correlation Enhancement ML2FNet: A Simple but Effective Multi-Level Feature Fusion Network for Document-Level Relation Extraction
Document-level spoken-to-written simplification	Make Spoken Document Readable: Leveraging Graph Attention Networks for Chinese Document-Level Spoken-to-Written Simplification
Domain Adaptation	Effective Domain Adaptation for Robust Dysarthric Speech Recognition Graph Convolutional Network based Feature Constraints Learning for Cross-Domain Adaptive Recommendation A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation
Domain adaptive few-shot relation extraction	Learning Discriminative Semantic and Multi-View Context for Domain Adaptive Few-shot Relation Extraction
Domain generalization	Efficient Attention for Domain Generalization Domain Generalized Object Detection with Triple Graph Reasoning Network Domain Generalization via Implicit Domain Augmentation
Domain knowledge	A domain knowledge-based semi-supervised pancreas segmentation approach
Domain shift	MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection
dominant frequency	How do native and non-native listeners differ? Investigation with dominant frequency bands in auditory evoked potential
Dorsal side (crease down)	Classification of Hard and Soft Wheat Species using Hyperspectral Imaging and Machine Learning Models
DoS attacks	New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control
Double Q-learning	Bias Reduced Methods to Q-learning
Double-Layer blockchain	Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data
Down-stream Task Fine-tuning	Pre-trained Financial Model for Price Movement Forecasting
Drone cluster control	Intelligent UAV Swarm Planning Based on Undirected Graph Model
Drone detection	RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study
Dropout prediction	MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network
Drug discovery	MView-DTI: A multi-view feature fusion-based approach for drug-target protein interaction prediction
Drug repositioning	Cross-Modal Method based on Self-Attention Neural Networks for Drug-Target Prediction
Drug-Drug Interaction	KSHFS: Research on Drug-Drug Interaction Prediction Based on Knowledge Subgraph and High-order Feature-aware Structure
Drug-resistant epilepsy	IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification
drug-target interaction	Multi-Scale Feature Fusion Neural Network for Accurate Prediction of Drug-Target Interactions
Drug-Target protein Interaction	MView-DTI: A multi-view feature fusion-based approach for drug-target protein interaction prediction
DTI prediction	Cross-Modal Method based on Self-Attention Neural Networks for Drug-Target Prediction
Dual Prediction	Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval
Dual-branch model	YOLO-D: Dual-branch infrared distant target detection based on multi-level weighted feature fusion
Dual-Discriminator GANs	Unsupervised Monocular Depth Estimation with Semantic Reconstruction using Dual-Discriminator Generative Adversarial Networks
Dual-Domain Learning	Dual-Domain Learning For JPEG Artifacts Removal
Dynamic Agent Allocation	Temporal Task Graph based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games
Dynamic coupling	A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings
Dynamic Distillation	Dynamic Knowledge Distillation for Reduced Easy Examples
Dynamic event-triggered mechanism	New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control
Dynamic Graph	Mastering Complex Coordination through Attention-based Dynamic Graph
Dynamic Graphs	Disentangling Node Metric Factors For Temporal Link Prediction
Dynamic prediction	Construction and Prediction of a Dynamic Multi-Relationship Bipartite Network
Dynamic pricing	Graph Reinforcement Learning For Securing Critical Loads By E-mobility
dynamic rotated proposals decoder	DRPDDet: Dynamic Rotated Proposals Decoder for Oriented object detection
dynamic systems	Learning Stable Nonlinear Dynamical System from One Demonstration
Dynamic task scheduling and optimization	Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles
Dynamic Thresholds	DTP: An Open-domain Text Relation Extraction Method
Dynamic Time Warping	A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis
Dynamically updated reward model	Multi-Mobile Object Motion Coordination with Reinforcement Learning
Dynamics model	Latent Causal Dynamics Model for Model-based Reinforcement Learning
Dysarthric Speech Recognition	Effective Domain Adaptation for Robust Dysarthric Speech Recognition
E
Early Stopping	Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff
Easily confused charges	How Legal Knowledge Graph Can Help Predict Charges for Legal Text
Edge Computing	Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices Resource-aware DNN Partitioning for Privacy-sensitive Edge-Cloud Systems
Edge Intelligence	Spatiotemporal PM2.5 Pollution Prediction Using Cloud-Edge Intelligence
Edge layer node	A health evaluation algorithm for edge nodes based on LSTM
EEG	Detecting Depression and Alcoholism Disorders by EEG Signal Asymptotic spatio-temporal averaging of the power of EEG signals for schizophrenia diagnostics How do native and non-native listeners differ? Investigation with dominant frequency bands in auditory evoked potential Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI Naturalistic Emotion Recognition Using EEG and Eye Movements
ELECTRE	GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis
Electric vehicle	Graph Reinforcement Learning For Securing Critical Loads By E-mobility
Electrical diagrams	Text Spotting of Electrical Diagram Based on Improved PP-OCRv3
Electroencephalo-gram	DAformer: Transformer with Domain Adversarial Adaptation for EEG-based Emotion Recognition with Live-Oil Paintings
Electroencephalogram (EEG)	EEG epileptic seizure classification using hybrid time-frequency attention deep network
Electromyography	A DNN-based Learning Framework for Continuous Movements Segmentation
electronic medical record	Applications of Deep Learning Methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record
Elimination selection strategy	High-dimensional multi-objective PSO based on radial projection
Ellipsis Recovery	FEGI: A Fusion Extractive-Generative Model for Dialogue Ellipsis and Coreference Integrated Resolution
embedding	Extending DenseHMM with Continuous Emission Applications of Quantum Embedding in Computer Vision
Embedding laye	Research on Relation Extraction Based on BERT with Multifaceted Semantics
embedding learning	GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
Embedding Network	CenAD: Collaborative Embedding Network for Anomaly Detection with Leveraging Partially Observed Anomalies
embedding suitability map	Towards undetectable adversarial examples: a steganographic perspective
EMG	Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition
emission discretization	Extending DenseHMM with Continuous Emission
Emotion recognition	DAformer: Transformer with Domain Adversarial Adaptation for EEG-based Emotion Recognition with Live-Oil Paintings Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition
Emotion recognition in conversation	DGNN: Dependency Graph Neural Network for Multimodal Emotion Recognition in Conversation
Emotional Weighting	EWMIGCN: Emotional Weighting based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction
Empirical Mode Decomposition	An End-To-End Structure with novel position mechanism and improved EMD for Stock Forecasting
Encoder	Jointly extractive and abstractive training paradigm for text summarization
Encoder-Decoder	AttnOD: An Attention-based OD Prediction Model with Adaptive Graph Convolution
encoder-decoder and feature aggregation	Effi-Seg: Rethinking EfficientNet Architecture for Real-time Semantic Segmentation
encrypted image retrieval	Privacy-preserving Image Classification and Retrieval Scheme over Encrypted Images
End-to-end	Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition
Endoscope image processing	Real-Time Instance Segmentation and Tip Detection for Neuroendoscopic Surgical Instruments
Endoscopic image	Feature-Fusion-Based Haze Recognition in Endoscopic Images
Energy efficiency	Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward
English Auction	A Distributed kWTA for Decentralized Auctions
Enhanced motor imagery	Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
Enhancement	FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting
ensemble deep random vector functional link (edRVFL)	Ensemble of randomized neural network and boosted trees for eye-tracking-based driver situation awareness recognition and interpretation
Ensemble learning	CPSSDS-R:Data stream semi-supervised classification algorithm based on conformal prediction
Ensemble Model	Empirical Analysis of Multi-label Classification on GitterCom using BERT
Entity disambiguation	Diachronic Named Entity Disambiguation for Ancient Chinese Historical Records
Entity Linking	E3-MG:End-to-End Expert Linking via Multi-Granularity Representation Learning
Entity mask mechanism	Two-Phase Semantic Retrieval For Explainable Multi-Hop Question Answering
Entity overlap	Joint Entity and Relation Extraction for Legal Documents based on Table Filling
Entity sequences	An Attack Entity Deducing Model for Attack Forensics
Entity Typing	AttIN: Paying More Attention to Neighborhood Information for Entity Typing in Knowledge Graphs
Epileptic seizure classification	EEG epileptic seizure classification using hybrid time-frequency attention deep network
Episodic Training	Learning Primitive-aware Discriminative Representations for Few-shot Learning
Equivalent kernel	Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting
Error Correction	CSEC: A Chinese Semantic Error Correction Dataset for Written Correction
Error-Backpropagation	Reward-Dependent and Locally Modulated Hebbian Rule for Pattern Classification
Estimating time of arrival	DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation
Ethereum	Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks
Euclidean Distance Module	Block-Matching Multi-Pedestrian Tracking
Evaluation	CKR-Calibrator: Convolution Kernel Robustness Evaluation and Calibration
event driven	Event-based Object Recognition Using Feature Fusion and Spiking Neural Networks
Event extraction	Event-aware Document-level Event Extraction via Multi-granularity Event Encoder
Event-aware	Event-aware Document-level Event Extraction via Multi-granularity Event Encoder
Event-Event Relation Extraction	A Three-Stage Framework For Event-Event Relation Extraction with Large Language Model
Event-triggered Control	Event-Triggered Constrained $H_\infty$ Control Using Concurrent Learning and ADP Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter
Evidence extraction	Dual-Enhancement Model of Entity Pronouns and Evidence Sentence for Document-level Relation Extraction
evolutionary algorithm	An Interactive Evolutionary Algorithm for Ceramic Formula Design
evolutionary computation	Evolutionary Computation for Berth Allocation Problems: A Survey A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems
Evolutionary Multitasking (EMT)	Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate
Exoskeleton	A compliant elbow exoskeleton with an SEA at interaction port
Expand query	Multi-intent Description of Keyword Expansion for Code Search
Explainability	Explainable Offensive Language Classifier
Explainable	Two-Phase Semantic Retrieval For Explainable Multi-Hop Question Answering
explainable AI	Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems
Explainable self-adaptive models	Explainable Sparse Associative Self-Optimizing Neural Networks for Classification
Exploratory Data Analysis(EDA)	Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point
Exponential mean square stability	New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control
Exponential Synchronization	Global Exponential Synchronization of Quaternion-Valued Neural Networks via Quantized Control
Expression Recognition	Enhancement of Masked Expression Recognition Inference Via Fusion Segmentation and Classifier
External disturbance	Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance
External Knowledge	Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension Dual Channel Graph Neural Network Enhanced by External Affective Knowledge for Aspect Level Sentiment Analysis
Extractive method	Enhancing LSTM and fusing articles of law for legal text summarization
Extractive Summarization	FHSI-GNN: Fusion Hierarchical Structure Information Graph Neural Network for Extractive Long Documents Summarization Jointly extractive and abstractive training paradigm for text summarization
Eye Movements	Naturalistic Emotion Recognition Using EEG and Eye Movements
Eye-tracking	Ensemble of randomized neural network and boosted trees for eye-tracking-based driver situation awareness recognition and interpretation
F
Face Forgery Detection	Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection
Face Recognition	MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention
Facial Action Unit Detection	Landmark-assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning
facial expression recognition	Multi-Scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network
Facial Landmark	Landmark-assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning
Fake News	HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
Fake News Detection	Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection
Fashion trend	Fashion Trend Forecasting Based on Multivariate Attention Fusion
Fault Diagnosis	GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels
Feature adaptation	Customized Anchors Can Better Fit the Target in Siamese Tracking
Feature aggregation	TextBFA: Arbitrary Shape Text Detection with Bidirectional Feature Aggregation
Feature Attention	Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention
Feature comparison	Learnable Color Image Zero-Watermarking Based on Feature Comparison
Feature Constraint	Graph Convolutional Network based Feature Constraints Learning for Cross-Domain Adaptive Recommendation
Feature correlation	Customized Anchors Can Better Fit the Target in Siamese Tracking
Feature Distillation	Knowledge Distillation via Information Matching
feature embedding	Accurate Latency Prediction of Deep Learning Model Inference under Dynamic Runtime Resource
Feature enhancement	Multi-level Feature Enhancement Method For Medical Text Detection FE-YOLOv5:Improved YOLOv5 Network for Multi-scale Drone-captured Scene Detection
Feature Extraction	ECOST: Enhanced CoST Framework for Fast and Accurate Time Series Forecasting Text-based Person Re-ID by Saliency Mask and Dynamic Label Smoothing STFormer: Cross-Level Feature Fusion in Object Detection
Feature Focusing	Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios
Feature forecasting	A Novel Framework for Forecasting Mental Stress Levels based on Physiological Signals
Feature Fusion	Feature-Fusion-Based Haze Recognition in Endoscopic Images Chinese Medical Intent Recognition Based on Multi-feature Fusion DeFusion: Aerial Image Matching Based on Fusion of Handcrafted and Deep Features CBDN: A Chinese short-text classification model based on Chinese BERT and fused deep neural networks MGFNet: A Multi-Granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-Identification Link Prediction Based on the Sub-graphs Learning with Fused Features Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection Aided diagnosis of autism spectrum disorder based on a mixed neural network model ML2FNet: A Simple but Effective Multi-Level Feature Fusion Network for Document-Level Relation Extraction
Feature map information extraction	AAKD-Net:Attention-based Adversarial Knowledge Distillation Network for Image Classification
Feature map optimization	Pushing the Boundaries of Chinese Painting Classification on Limited Datasets: Introducing a Novel Transformer Architecture with Enhanced Feature Extraction
feature mixing	A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing
Feature Pyramid	Multi-scale Context Aggregation for Video-based Person Re-identification
Feature Reconstruction	Feature Reconstruction Distillation with Self-attention Nearest Memory Augmented Feature Reconstruction for Unified Anomaly Detection
Feature Representation	Construction and Prediction of a Dynamic Multi-Relationship Bipartite Network
Feature Selection	Detecting Depression and Alcoholism Disorders by EEG Signal Empirical Analysis of Multi-label Classification on GitterCom using BERT Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate
Feature transmission	Dynamic Feature Distillation
Features Interaction	A Bi-Directional Optimization Network for De-Obscured 3D High-Fidelity Surface Reconstruction
Federated Learning	Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach Federated learning using the Particle Swarm Optimization model for the early detection of COVID-19 LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0 PSO-enabled Federated Learning for detecting ships in supply chain management Spatiotemporal PM2.5 Pollution Prediction Using Cloud-Edge Intelligence A Federated Multi-Stage Light-Weight Vision Transformer for Respiratory Disease Detection Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data On efficient federated learning for aerial remote sensing image classification: a filter pruning approach GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions M$^3$FGM:A Node Masking and Multi-granularity Message passing-based Federated Graph Model for Spatial-Temporal Data Prediction A Framework of Large-Scale Peer-to-Peer Learning System Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse Quantized SGD in Federated Learning: Communication, Optimization and Generalization PoShapley-BCFL: A fair and robust decentralized federated learning based on blockchain and the proof of Shapley-value
Fetal Brain Age Estimation	LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression
Few Samples	Few-Shot NER in Marine Ecology using Deep Learning
Few shot	An Adaptive Detector for Few Shot Object Detection
Few Shot Learning	Sign Language Recognition for Low Resource Languages using Few Shot Learning
Few-shot learning	Efficient Prompt Tuning for Vision and Language Models Few-shot Anomaly Detection in Text with Deviation Learning Adaptive Multi-hop Neighbor Selection for Few-shot Knowledge Graph Completion Novel-Registrable Weights and Region-Level Contrastive Learning for Incremental Few-Shot Object Detection Learning Primitive-aware Discriminative Representations for Few-shot Learning Heterogeneous Graph Prototypical Networks for Few-shot Node Classification
FFT	Circular FC: Fast Fourier Transform Meets Fully Connected Layer For Convolutional Neural Network
FFT spectrum	RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study
FGM	A Joint Identification Network for Legal Event Detection
fictional character analysis	A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application
filter band masking (FBM)	SSVEP Data Augmentation based on Filter Band Masking and Random Phase Erasing
filter pruning	On efficient federated learning for aerial remote sensing image classification: a filter pruning approach
Financial Analysis	Pre-trained Financial Model for Price Movement Forecasting
Financial Time Series	An End-To-End Structure with novel position mechanism and improved EMD for Stock Forecasting
Fine-grained	A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI
Fine-grained object retrieval	Leveraging Two-scale Features to Enhance Fine-grained Object Retrieval
Fine-grained Semantic Segmentation	Enhancing Spatial Consistency and Class-level Diversity for Segmenting Fine-grained Objects
Finite-Time Convergent	A Distributed kWTA for Decentralized Auctions
Fisher information	A Meta Learning-based Training Algorithm for Robust Dialogue Generation
Flat minima	Sharpness-aware Minimization for Out-of-Distribution Generalization
Flight control	Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks
fMRI	RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning
FNCSP	A lightweight safety helmet detection network based on bidirectional connection module and Polarized Self-Attention
Focal loss	A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition
Football players	Evaluation of football players' performance based on Multi-Criteria Decision Analysis approach and sensitivity analysis
Foreground information	DRPDDet: Dynamic Rotated Proposals Decoder for Oriented object detection
Forest fire smoke detection	WCA-VFnet:a dedicated complex forest smoke fire detector
Formation flight	Intelligent UAV Swarm Planning Based on Undirected Graph Model
Formula One	Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case
Fourier Transform	Dual-Domain Learning For JPEG Artifacts Removal
frame skipping	Actor-Critic with variable time discretization via sustained actions
frequency reconfigurable	A frequency reconfigurable multi-mode printed antenna
Fully complex-valued dendritic neuron model	Adaptive Accelerated Gradient Algorithm for Training Fully Complex-Valued Dendritic Neuron Model
Functional Connectivity	Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Functional extension	A Stealth Security Hardening Method Based on SSD Firmware Function Extension
functional gradient	Aided diagnosis of autism spectrum disorder based on a mixed neural network model
Functional Graphs	Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
Functional near-infrared spectroscopy (fNIRS)	Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels
Fusion Model	Enhancement of Masked Expression Recognition Inference Via Fusion Segmentation and Classifier
Fuzzy C-Means	Soybean Genome Clustering using Quantum-Based Fuzzy C-Means Algorithm
Fuzzy MCDA	How to support sport management with decision systems? Swimming athletes assessment study case
Fuzzy Neural Networks	New predefined-time stability theorem and applications to the fuzzy stochastic memristive neural networks with impulsive effects
Fuzzy patterns	Explainable Sparse Associative Self-Optimizing Neural Networks for Classification
Fuzzy rank-based ensemble	Integrating Multi-View Feature Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage Site Prediction
FY-3E	Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-Task Learning and Physical Information
G
GAN-generated faces detection	Ignored Details in Eyes: Exposing GAN-generated Faces by Sclera
GAT	User stance aware network for rumor detection using semantic relation inference and temporal graph convolution
Gated fusion	6D Object Pose Estimation with Attention Aware Bi-Gated Fusion
Gated Recurrent Unit	S-CGRU: An Efficient Model for Pedestrian Trajectory Prediction
Gating mechanism	Gated Bi-View Graph Structure Learning
GCN	Differentiable Topics Guided New Paper Recommendation A Joint Identification Network for Legal Event Detection
gender classification	A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application
Gene Expression Prediction	Spatial Gene Expression Prediction using Hierarchical Sparse Attention
General Distribution	Q-Learning Based Adaptive Scheduling Method For Hospital Outpatient Clinics
General-Sum Games	Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
generalization	Quantized SGD in Federated Learning: Communication, Optimization and Generalization
Generalized category discovery	Generalized Category Discovery with Clustering Assignment Consistency
Generalized correntropy	Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm
Generating countermeasures network	Infrared Target Recognition Technology Based On Small Sample Learning
Generative Adversarial Network	Deep Learning-Empowered Unsupervised Maritime Anomaly Detection Generating Spatiotemporal Trajectories with GANs and Conditional GANs Algorithm for Generating Tire Defect Images Based on RS-GAN DAGAN: Generative Adversarial Network with Dual Attention-enhanced GRU for Multivariate Time Series Imputation Hazardous Driving Scenario Identification with Limited Training Samples Exploring Efficient-Tuned Learning Audio Representation Method from BriVL
Generative Adversarial Networks	Text-to-Image Synthesis With Threshold-Equipped Matching-Aware GAN Ignored Details in Eyes: Exposing GAN-generated Faces by Sclera Text to Image Generation with Conformer-GAN Enhanced Generation of Human Mobility Trajectory with Multiscale model TPTGAN: Two-Path-Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping For Speech Enhancement
Generative model	Amortized variational inference via Nosé-Hoover Thermostat Hamiltonian Monte Carlo Diff-Writer: A Diffusion Model Based Stylized Online Handwritten Chinese Character Generator
Generative steganography	Minimizing Distortion in Linguistic Steganography via Adaptive Language Model Tuning
generic algorithm	Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers
genetic algorithm	An Improved NSGA-II for UAV Path Planning
Genetic operator	Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations
Genetic programming	Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations
Genome Sequence	Soybean Genome Clustering using Quantum-Based Fuzzy C-Means Algorithm
Gibbs sampler	Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
GitterCom	Empirical Analysis of Multi-label Classification on GitterCom using BERT
GL-score	Impulsion of Movie's Content-Based Factors in Multi-Modal Movie Recommendation System
Global attention	CM-TCN: Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion Recognition
Global Pointer	A Joint Identification Network for Legal Event Detection
global stability	Learning Stable Nonlinear Dynamical System from One Demonstration
Global weights	Determination of local and global decision weights based on fuzzy modeling
GMM/GMR	GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration
Gradient CPG	Responsive CPG-Based Locomotion Control for Quadruped Robots
Gradient-Zhang Neural Network	Theoretical Analysis of Gradient-Zhang Neural Network for Time-Varying Equations and Improved Method for Linear Equations
Grammatical error correction	Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction
Granular Computing	GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis
Graph	Graph-based Vehicle Keypoint Attention Model for Vehicle Re-identification
graph attention	DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks
Graph attention network	How Legal Knowledge Graph Can Help Predict Charges for Legal Text Adaptive Multi-hop Neighbor Selection for Few-shot Knowledge Graph Completion Paper Recommendation with Multi-View Knowledge-aware Attentive Network LenANet: A Length-controllable Attention Network for Source Code Summarization Make Spoken Document Readable: Leveraging Graph Attention Networks for Chinese Document-Level Spoken-to-Written Simplification Vessel Behavior Anomaly Detection using Graph Attention Network Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft based on Variational Autoencoder
Graph attention networks	Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-modal Retrieval
graph auto-encoder	Contrastive Learning Augmented Graph Auto-Encoder for Graph Embedding
Graph Autoencoder	ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks
Graph context	Three-dimensional rotation knowledge representation learning based on graph context
Graph Contrastive Learning	Dual-Branch Contrastive Learning for Network Representation Learning Graph Contrastive ATtention Network for Rumor Detection
Graph Convolution	Learning Primitive-aware Discriminative Representations for Few-shot Learning
Graph Convolution module	A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN.
graph convolution network (GCN)	MTSAN-MI: Multiscale Temporal-Spatial Convolutional Self-Attention Network for Motor Imagery Classification
Graph Convolution Networks	Self-Supervised-Enhanced Dual Hierarchical Graph Convolution Network for Social Recommendation
Graph convolution neural network	A Graph Convolution Neural Network for User-group Aided Personalized Session-based Recommendation
Graph Convolutional Network	POI Recommendation based on Double-level Spatio-temporal Relationship in Locations and Categories Graph Convolutional Network based Feature Constraints Learning for Cross-Domain Adaptive Recommendation A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-level Sentiment Analysis Multi-Scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition Aided diagnosis of autism spectrum disorder based on a mixed neural network model Multi-view Contrastive learning for Knowledge-aware Recommendation Domain Generalized Object Detection with Triple Graph Reasoning Network Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection
Graph convolutional networks	EWMIGCN: Emotional Weighting based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks Modeling Both Collaborative and Temporal Information for Sequential Recommendation Heterogeneous Graph Prototypical Networks for Few-shot Node Classification
Graph Convolutional Neural Network	Contrastive Learning-Based Music Recommendation Model
Graph embedding	Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks
graph enumerative representation	On Searching for Minimal Integer Representation of Undirected Graphs
Graph Learning	Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Graph neural network	GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction Multi-Scale Multi-Step Dependency Graph Neural Network for Multivariate Time Series Forecasting Syntax Tree Constrained Graph Network for Visual Question Answering Multi-granularity Deep Vulnerability Detection using Graph Neural Networks An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network Aspect-level sentiment analysis using dual probability graph convolutional networks (DP-GCN) integrating multi-scale information Neural-Symbolic Recommendation with Graph-Enhanced Information Learning Item Attributes and User Interests for Knowledge Graph Enhanced Recommendation ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks Graph Multi-Dimensional Feature Network Accurate Latency Prediction of Deep Learning Model Inference under Dynamic Runtime Resource M$^3$FGM:A Node Masking and Multi-granularity Message passing-based Federated Graph Model for Spatial-Temporal Data Prediction Dual-Branch Contrastive Learning for Network Representation Learning UATR: An Uncertainty Aware Two-stage Refinement Model for Targeted Sentiment Analysis Multi-scale Directed Graph Convolution Neural Network for Node Classification Task Dual Channel Graph Neural Network Enhanced by External Affective Knowledge for Aspect Level Sentiment Analysis FHSI-GNN: Fusion Hierarchical Structure Information Graph Neural Network for Extractive Long Documents Summarization Detect Overlapping Community via Graph Neural Network and Topological Potential
Graph Neural Networks	KSHFS: Research on Drug-Drug Interaction Prediction Based on Knowledge Subgraph and High-order Feature-aware Structure Category-wise Meal Recommendation Interactive Selection Recommendation Based on the Multi-Head Attention Graph Neural Network DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks Link Prediction Based on the Sub-graphs Learning with Fused Features Link Prediction with Simple Path-Aware Graph Neural Networks Two-Stage Graph Convolutional Networks for Relation Extraction Gated Bi-View Graph Structure Learning
Graph Pointer Network (GPN)	Graph Pointer Network and Reinforcement Learning for Thinnest Path Problem
Graph positional embedding	DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation
Graph reinforcement learning	Graph Reinforcement Learning For Securing Critical Loads By E-mobility
Graph relation-building	ASRCD: Adaptive Serial Relation-based Model for Cognitive Diagnosis
Graph Representation Learning	Introducing Semantic-based Receptive Field into Semantic Segmentation via Graph Neural Networks A Developer Recommendation Method Based on Disentangled Graph Convolutional Network Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs Modeling User's Neutral Feedback in Conversational Recommendation
Graph Sequence Prediction	AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs
graph structure	CATS: Connection-aware and Interaction-based Text Steganalysis in Social Networks
Graph structure learning	Multi-Scale Multi-Step Dependency Graph Neural Network for Multivariate Time Series Forecasting Gated Bi-View Graph Structure Learning
graph succinct representation	On Searching for Minimal Integer Representation of Undirected Graphs
Graph transformer network	Interactive Attention-Based Graph Transformer for Multi-Intersection Traffic Signal Control
Graphics Processing Unit (GPU)	A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems
Greedy Strategy	Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters
Group features	Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-Subject FMRI Data: Application to Schizophrenia
Guided Re-label	NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction
GV-FL	Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL)
H
Hamiltonian Monte Carlo	Amortized variational inference via Nosé-Hoover Thermostat Hamiltonian Monte Carlo
Hand rehabilitation	Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
Handwritten mathematical expression recognition Shift window attention	Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network
harmonic weighting loss	Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction
Harmony RPN	DRPDDet: Dynamic Rotated Proposals Decoder for Oriented object detection
Hash centers	Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs
Hashing	S3ACH: Semi-Supervised Semantic Adaptive Cross-modal Hashing
Hate Speech	Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection
Hazardous driving scenario	Hazardous Driving Scenario Identification with Limited Training Samples
Haze recognition	Feature-Fusion-Based Haze Recognition in Endoscopic Images
Health Evaluation Algorithm	A health evaluation algorithm for edge nodes based on LSTM
Heatmap	TransCenter: Transformer in Heatmap and A New Form of Bounding Box
Hebbian Rule	Reward-Dependent and Locally Modulated Hebbian Rule for Pattern Classification
Helmet wearing detection	A lightweight safety helmet detection network based on bidirectional connection module and Polarized Self-Attention
Heterogeneous graph	An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network
Heterogeneous Graph Node Classification	Heterogeneous Graph Prototypical Networks for Few-shot Node Classification
Heterogeneous Information Network	Heterogeneous Graph Fusion with Adversarial Learning for Recommendation Service
Hierarchical Attention Network	HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
Hierarchical Attribute-Based Encryption	Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing
hierarchical gating network	Contrastive Hierarchical Gating Networks for Rating Prediction
Hierarchical Memory	Parallelizable Simple Recurrent Units with Hierarchical Memory
Hierarchical reinforcement learning	Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery
Hierarchical Sparse attention	Spatial Gene Expression Prediction using Hierarchical Sparse Attention
hierarchical visual features	An Alignment and Matching Network with Hierarchical Visual Features for Multimodal Named Entity and Relation Extraction
Hierarchy structure information	FHSI-GNN: Fusion Hierarchical Structure Information Graph Neural Network for Extractive Long Documents Summarization
high-dimensional multi-objective particle swarm	High-dimensional multi-objective PSO based on radial projection
High-level connection pattern	Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation
High-order control barrier function	High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems
High-order information	Incomplete Multi-view Subspace Clustering Using Non-Uniform Hyper-Graph for High-Order Information
High-resolution representation	GoatPose: A Lightweight and Efficient Network with Attention Mechanism
Hip-Knee Cyclogram	A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis
Histogram shifting	Reversible data hiding based on adaptive embedding with local complexity
HMM	Extending DenseHMM with Continuous Emission
HOI Detection	Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement
Homomorphic encryption	Differential Private (Random) Decision Tree without Adding Noise
Human action detection	Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios
human action recognition	A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition
Human Activity Recognition	TEZARNet : TEmporal Zero-shot Activity Recognition Network
Human Computation	Label Selection Approach to Learning from Crowds
human interaction detection	Human-to-Human Interaction Detection
Human key point detection	GoatPose: A Lightweight and Efficient Network with Attention Mechanism
Human Mobility Trajectories	Enhanced Generation of Human Mobility Trajectory with Multiscale model
Human motor analysis	A DNN-based Learning Framework for Continuous Movements Segmentation
Human Object Interaction Detection	Human-Object Interaction Detection with Channel Aware Attention
Human-centered computing	Unleash the Capabilities of the Vision-Language Pre-training Model in Gaze Object Prediction
Human-Environment-Robot Ternary Fusion	CrowdNav-HERO: Pedestrian Trajectory Prediction Based Crowded Navigation with Human-Environment-Robot Ternary Fusion
Human-to-human interaction detection	Human-to-Human Interaction Detection
HWRF	Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-Task Learning and Physical Information
hybrid fault model	Differential fault analysis against AES based on a hybrid fault model
Hybrid model	Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting
Hybrid Recommender System	Deep Learning Based Personalized Stock Recommender System
Hybrid SGD	PEVLR: A New Privacy-preserving and Efficient Approach for Vertical Logistic Regression
Hypergraph	Efficient Collaboration via Interaction Information in Multi-Agent System
Hypergraphs	Causal-Inspired Influence Maximization in Hypergraphs Under Temporal Constraints
Hyperspectral Imaging (HSI)	Classification of Hard and Soft Wheat Species using Hyperspectral Imaging and Machine Learning Models
H∞ control	Impulsive Accelerated Reinforcement Learning for H∞ Control
I
IDCNN	Few-Shot NER in Marine Ecology using Deep Learning
Illumination and Reflectance Maps	Retinex Meets Transformer: Bridging Illumination and Reflectance Maps for Low-light Image Enhancement
Image Blending	Image Blending Algorithm with Automatic Mask Generation
Image classification	MVCAL: Multi View Clustering for Active Learning Dynamic Feature Distillation Applications of Quantum Embedding in Computer Vision Circular FC: Fast Fourier Transform Meets Fully Connected Layer For Convolutional Neural Network Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models Efficient Lightweight Network with Transformer-based Distillation for Micro-crack Detection of Solar Cells
Image Compression	Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience
Image Deblurring	Uformer++: Light Uformer for Image Restoration
image dehazing	Isomorphic Dual-Branch Network for Non-homogeneous Image Dehazing and Super-Resolution
Image Denoising	Uformer++: Light Uformer for Image Restoration
Image Feature Extraction	Effects of Brightness and Class-unbalanced Dataset on CNN Model Selection and Image Classification considering Autonomous Driving
Image Forensics	Ignored Details in Eyes: Exposing GAN-generated Faces by Sclera
Image Fusion	Three-Dimensional Medical Image Fusion with Deformable Cross-Attention MFSFFuse: Multi-Receptive Field Feature Extraction for Infrared and Visible Image Fusion using Self-Supervised Learning
Image inpainting	Image Inpaiting with Semantic U-Transformer TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting
Image Matching	DeFusion: Aerial Image Matching Based on Fusion of Handcrafted and Deep Features Learning to Match Features with Geometry-aware Pooling
Image privacy	Privacy-preserving Image Classification and Retrieval Scheme over Encrypted Images
Image processing	PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for deformable objects in indoor environments Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery
Image protection	PAG: Protecting Artists’ Works from Personlizing Image Generative Models
Image Quality Assessment	VFIQ: A Novel Model of ViT-FSIMc Hybrid Siamese Network for Image Quality Assessment
Image Segment	Image Blending Algorithm with Automatic Mask Generation
image segmentation	Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN TASFormer: Task-aware Image Segmentation Transformer Multi-Level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-Supervised Cardiac MRI Segmentation
Image Signal Processing Pipeline	CInvISP: Conditional Invertible Image Signal Processing Pipeline
image-text matching	An Alignment and Matching Network with Hierarchical Visual Features for Multimodal Named Entity and Relation Extraction
Image-text pair classification	Multimodal Event Classification in Social Media
Imbalanced data distribution	Prior-Enhanced Network for Image-based PM2.5 Estimation from Imbalanced Data Distribution
Imitation Learning	Self-Adaptive Inverse Soft-Q Learning for Imitation
Implicit Feedback	Deep Learning Based Personalized Stock Recommender System
Implicit function	Implicit Clothed Human Reconstruction Based on Self-attention and SDF
Improved YOLOv5 Network	An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection
Impulsive Effects	New predefined-time stability theorem and applications to the fuzzy stochastic memristive neural networks with impulsive effects
Impulsive noise	Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm
Impulsive systems	Impulsive Accelerated Reinforcement Learning for H∞ Control
In-Context Learning	Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
Incomplete Data	From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values Incomplete Multi-view Subspace Clustering Using Non-Uniform Hyper-Graph for High-Order Information
Inconsistency Learning	Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection
Inconspicuous text	TextBFA: Arbitrary Shape Text Detection with Bidirectional Feature Aggregation
Incremental learning	Novel-Registrable Weights and Region-Level Contrastive Learning for Incremental Few-Shot Object Detection
Individual reward rectification	MRRC: Multi-Agent Reinforcement Learning with Rectification Capability in Cooperative Tasks
Indoor Deformable Object	DOS Dataset: A Novel Indoor Deformable Object Segmentation Dataset for Sweeping Robots
Industrial Defect Detection	Unsupervised Fabric Defect Detection Framework based on Knowledge Distillation
Industrial model	An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application
Industrial Quality Detection	Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios
Industry 4.0	An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application
Industry 5.0	LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0 PSO-enabled Federated Learning for detecting ships in supply chain management
Inertial Measurement Unit Data	TEZARNet : TEmporal Zero-shot Activity Recognition Network
inference latency prediction	Accurate Latency Prediction of Deep Learning Model Inference under Dynamic Runtime Resource
Influence Maximization	Causal-Inspired Influence Maximization in Hypergraphs Under Temporal Constraints
Information Aggregation	AttIN: Paying More Attention to Neighborhood Information for Entity Typing in Knowledge Graphs
information attack	A reinforcement learning-based controller designed for Intersection signal suffering from Information Attack
Information Bottleneck	Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse
information fusion	Multi-Neuron Information Fusion for Direct Training Spiking Neural Networks
Information Retrieval	E3-MG:End-to-End Expert Linking via Multi-Granularity Representation Learning
Information Security	Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech Hi-Stega : A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack
Infrared and Visible Image	MFSFFuse: Multi-Receptive Field Feature Extraction for Infrared and Visible Image Fusion using Self-Supervised Learning
Infrared target recognition	Infrared Target Recognition Technology Based On Small Sample Learning
Inpainting	Learning Dense UV Completion for 3D Human Mesh Recovery
Instance Segmentation	Biological Tissue Sections Instance Segmentation based on Active Learning
instruction learning	Instance-aware and Semantic-guided Prompt for Few-shot Learning in Large Language Models
Instrument instance segmentation	Real-Time Instance Segmentation and Tip Detection for Neuroendoscopic Surgical Instruments
Intellectual Property Protection	PatchFinger: A Model Fingerprinting Scheme based on Adversarial Patch
Intelligent decision technolog	Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles
Intelligent Education	Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method
Intelligent justice	Joint Entity and Relation Extraction for Legal Documents based on Table Filling
intelligent transportation system	A reinforcement learning-based controller designed for Intersection signal suffering from Information Attack
Intelligent transportation systems	A Novel Approach for Improved Pedestrian Walking Speed Prediction: Exploiting Proximity Correlation
Intent Detection	A deep joint model of Multi-Scale intent-slots Interaction with Second-Order Gate for SLU.
Intent recognition	Chinese Medical Intent Recognition Based on Multi-feature Fusion
Inter-class Separability	ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization
Interaction	Long Short-Term Planning for Conversational Recommendation Systems
Interaction filtering	Attention Based Spatial-Temporal Dynamic Interact Network for Traffic Flow Forecasting
Interaction Information	Efficient Collaboration via Interaction Information in Multi-Agent System
Interactive attention mechanism	Interactive Attention-Based Graph Transformer for Multi-Intersection Traffic Signal Control
Interactive network	A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-level Sentiment Analysis
interactive optimization	An Interactive Evolutionary Algorithm for Ceramic Formula Design
Interactive Selection	Interactive Selection Recommendation Based on the Multi-Head Attention Graph Neural Network
Intermittent communication	Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights
internal knowledge	DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks
Internet of Vehicles	Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach
Interpretability	BIN: A Biosignature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction based on Multi-modal MRIs Explainable Offensive Language Classifier Towards better evaluations of class activation mapping and interpretability of CNNs A Causality-Based Interpretable Cognitive Diagnosis Model An Interpretable Vulnerability Detection Method Based on Multi-task Learning
Interpretable Models	Effects of Brightness and Class-unbalanced Dataset on CNN Model Selection and Image Classification considering Autonomous Driving
Intersection over Union (IoU)	P-IoU: Accurate Motion Prediction based Data Association for Multi-Object Tracking
Intracranial Artery	An Effective Morphological Analysis Framework of Intracranial Artery in 3D Digital Subtraction Angiography
Intracranial EEG	IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification
Intrinsic Reward	Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning
Invalid shifting pixels	Reversible data hiding based on adaptive embedding with local complexity
Invariant risk minimization	Sharpness-aware Minimization for Out-of-Distribution Generalization
Inverse problem	Solving the inverse problem of laser with complex-valued field by physics-informed neural networks
Invertible Neural Networks	CInvISP: Conditional Invertible Image Signal Processing Pipeline
IoT	Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL)
Iris template protection	Cancellable iris recognition scheme based on inversion fusion and local ranking
Irregular sequences	Exploring Non-Isometric Alignment Inference for Representation Learning of Irregular Sequences
irregularly sampled data	SRLI:Handling Irregular Time Series with a Novel Self-supervised Model based on Contrastive Learning
Irreversibility	Cancellable iris recognition scheme based on inversion fusion and local ranking
isomorphic dual-branch	Isomorphic Dual-Branch Network for Non-homogeneous Image Dehazing and Super-Resolution
Isotropic Architecture	Multimodal Isotropic Neural Architecture with Patch Embedding
iterative fusion	A Novel Iterative Fusion Multi-Task Learning Framework for Solving Dense Prediction
IUV	Learning Dense UV Completion for 3D Human Mesh Recovery
J
Joint Coordination Evaluation Metric	A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis
Joint extraction	Joint Entity and Relation Extraction for Legal Documents based on Table Filling
Joint regularization	Joint Regularization Knowledge Distillation
Joint supervision	Attention-Based Deep Convolutional Network for Speech Recognition under Multi-scene Noise Environment
Joint-Semantics	Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval
Jointly training	Jointly extractive and abstractive training paradigm for text summarization
JPEG Artifacts Removal	Dual-Domain Learning For JPEG Artifacts Removal
K
k-Anonymity	Differential Private (Random) Decision Tree without Adding Noise
k-mers	T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
k-Nearest Neighbors	Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-Output Regression
Kernel adaptive filtering	Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm
Kernel selection	Contrastive Kernel Subspace Clustering
Kernel subspace clustering	Contrastive Kernel Subspace Clustering
Kernelization	Bloomfilter-based Practical Kernelization Algorithm for Minimum Satisfiability
Keypoint	TransCenter: Transformer in Heatmap and A New Form of Bounding Box
Keypoint features	Graph-based Vehicle Keypoint Attention Model for Vehicle Re-identification
Keypoint Overlap	TransCenter: Transformer in Heatmap and A New Form of Bounding Box
Knapsack problem	Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem
Knapsack Problem Framework	Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem
Knowledge Amalgamation	Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks
Knowledge Base	E3-MG:End-to-End Expert Linking via Multi-Granularity Representation Learning
Knowledge Distillation	Dynamic Knowledge Distillation for Reduced Easy Examples SDBC: A Novel and Effective Self-Distillation Backdoor Cleansing Approach Feature Reconstruction Distillation with Self-attention Dynamic Feature Distillation Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning AAKD-Net:Attention-based Adversarial Knowledge Distillation Network for Image Classification Knowledge Distillation via Information Matching Continual Domain Adaption for Neural Machine Translation Using Less But Important Information for Feature Distillation Knowledge-Distillation-Warm-Start Training Strategy for Lightweight Super-Resolution Networks Correlation Guided Multi-Teacher Knowledge Distillation Joint Regularization Knowledge Distillation Educational Pattern Guided Self-Knowledge Distillation for Siamese Visual Tracking Dual Knowledge Distillation for Neural Machine Translation Efficient Lightweight Network with Transformer-based Distillation for Micro-crack Detection of Solar Cells Unsupervised Fabric Defect Detection Framework based on Knowledge Distillation
Knowledge Graph	KSHFS: Research on Drug-Drug Interaction Prediction Based on Knowledge Subgraph and High-order Feature-aware Structure CACL:Commonsense-Aware Contrastive Learning for Knowledge Graph Completion How Legal Knowledge Graph Can Help Predict Charges for Legal Text Learning Item Attributes and User Interests for Knowledge Graph Enhanced Recommendation Paper Recommendation with Multi-View Knowledge-aware Attentive Network Multi-view Contrastive learning for Knowledge-aware Recommendation Three-dimensional rotation knowledge representation learning based on graph context Two-Stage Graph Convolutional Networks for Relation Extraction
Knowledge graph completion	CACL:Commonsense-Aware Contrastive Learning for Knowledge Graph Completion Adaptive Multi-hop Neighbor Selection for Few-shot Knowledge Graph Completion Graph Attention Network Knowledge Graph Completion Model Based on Relational Aggregation
Knowledge graph embedding	Embedding Entity and Relation for Knowledge Graph by Probability Directed Graph
Knowledge Graphs	AttIN: Paying More Attention to Neighborhood Information for Entity Typing in Knowledge Graphs
Knowledge representation	An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application
Knowledge tracing	A Causality-Based Interpretable Cognitive Diagnosis Model
Knowledge Transfer	Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks
Knowledge-driven	Reimagining China-US Relations Prediction: A Multi-Modal, Knowledge-Driven Approach with KDSCINet
knowledge-enhanced summarization	DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks
L
L-AOA	A 3D UWB hybrid localization method based on BSR and L-AOA
l0-norm constraint	A Revamped Sparse Index Tracker leveraging $K$--\,Sparsity and Reduced Portfolio Reshuffling
Label assignment	A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images
Label Correction	Sample Selection based on Uncertainty for Combating Label Noise
Label Density-Weighted Loss	LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression
Label Embedding	A lightweight text classification model based on Label Embedding Attentive mechanism
Label selection	Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification
Ladder Network	Identifying Self-Admitted Technical Debt with Context-based Ladder Network
LADRC	Adaptive load frequency control and optimization based on TD3 algorithm and linear active disturbance rejection control Intelligent trajectory tracking control of unmanned parafoil system based on SAC optimized LADRC
Lanczos algorithm	Multi-scale Directed Graph Convolution Neural Network for Node Classification Task
Lane change	PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic
Language Tag Strategy	Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes
Language-aware synergic attention	Leveraging Sound Local and Global Features for Language-Queried Target Sound Extraction
Language-queried Target Sound Extraction	Leveraging Sound Local and Global Features for Language-Queried Target Sound Extraction
Large Language Model	Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain A Three-Stage Framework For Event-Event Relation Extraction with Large Language Model
Large Language Models	Instance-aware and Semantic-guided Prompt for Few-shot Learning in Large Language Models Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
Large-Scale TSP	Two-Stage Attention Model to Solve Large-Scale Traveling Salesman Problems
Latent feature extraction	Integrating Multi-View Feature Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage Site Prediction
Latent interactions	All You See is the Tip of the Iceberg: Distilling Latent Interactions can Help You Find Treasures
Latent representation	Latent Causal Dynamics Model for Model-based Reinforcement Learning
Lateral Interactions	Lateral Interactions Spiking Actor Network for Reinforcement Learning
Layer-wise Adaptability	ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization
Learnable	Learnable Color Image Zero-Watermarking Based on Feature Comparison
Learned image compression	LUT-LIC: Look-up Table-Assisted Learned Image Compression
Learner evaluation	ASRCD: Adaptive Serial Relation-based Model for Cognitive Diagnosis
Learning exemplar	Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey
learning from demonstration	Learning Stable Nonlinear Dynamical System from One Demonstration
learning with errors	Privacy-preserving Image Classification and Retrieval Scheme over Encrypted Images
Learning-to-Rank	Pre-trained Financial Model for Price Movement Forecasting
Legal Event Detection	A Joint Identification Network for Legal Event Detection
Legal event information	Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types
Legal Judgment Prediction	Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types
length control	LenANet: A Length-controllable Attention Network for Source Code Summarization
LiDAR Point Cloud	SODet: A LiDAR-based Object Detector in Bird's-Eye View
Light field	Direct Inter-Intra View Association for Light Field Super-Resolution Light Field Image Super-Resolution via Global-View Information Adaptation-Guided Deformable Convolution Network
Light gradient boosting machine (lightGBM)	Ensemble of randomized neural network and boosted trees for eye-tracking-based driver situation awareness recognition and interpretation
Light-weight CNN	FalconNet: Factorization for the Light-weight ConvNets
Lightweight CNNs	MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices
Lightweight encryption	Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data
Lightweight network	GoatPose: A Lightweight and Efficient Network with Attention Mechanism
Lightweight Texture Extraction	Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios
Limited sample modeling	Hazardous Driving Scenario Identification with Limited Training Samples
Linear Complexity	LCformer：Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting
Linear convergence	A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization
Linear regions	Comparative Analysis of the Linear Regions in ReLU and LeakyReLU Networks
Linear Regression	Determination of local and global decision weights based on fuzzy modeling Removing Double Descent with Data-dependent Regularization under Non-Asymptotic View
linguistic steganalysis	CATS: Connection-aware and Interaction-based Text Steganalysis in Social Networks
Linguistic steganography	Hi-Stega : A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation Minimizing Distortion in Linguistic Steganography via Adaptive Language Model Tuning
Linguistic-acoustic fusion module	Leveraging Sound Local and Global Features for Language-Queried Target Sound Extraction
Link prediction	Adaptive Multi-hop Neighbor Selection for Few-shot Knowledge Graph Completion Link Prediction Based on the Sub-graphs Learning with Fused Features Link Prediction with Simple Path-Aware Graph Neural Networks Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction
lip reading	LIP READING USING TEMPORAL ADAPTIVE MODULE
Liquid State Machine	Brain-inspired Binaural Sound Source Localization Method Based On Liquid State Machine
Liver Cancer	BIN: A Biosignature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction based on Multi-modal MRIs
Load frequency control	Adaptive load frequency control and optimization based on TD3 algorithm and linear active disturbance rejection control
Local and global operation	Leveraging Sound Local and Global Features for Language-Queried Target Sound Extraction
Local complexity	Reversible data hiding based on adaptive embedding with local complexity
Local convolution	LCformer：Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting
Local map	Sub-Instruction and Local Map Relationship Enhanced Model for Vision and Language Navigation
local self-attention	Pushing the Boundaries of Chinese Painting Classification on Limited Datasets: Introducing a Novel Transformer Architecture with Enhanced Feature Extraction
Local Subspace Minority Collapse	Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse
Local weights	Determination of local and global decision weights based on fuzzy modeling
Localized wave	Solving Localized Wave Solutions of the Nonlinear PDEs using Physics-Constraint Deep Learning Method
Location sensitive information	LIP READING USING TEMPORAL ADAPTIVE MODULE
Log-gabor filter	LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0
Logistic regression	PEVLR: A New Privacy-preserving and Efficient Approach for Vertical Logistic Regression
Long Short Term Memory	Enhanced State-Aware Traffic Light Optimization Control Method
Long short-term	Long Short-Term Planning for Conversational Recommendation Systems
Long short-term memory	Anomaly detection of fixed-wing unmanned aerial vehicle (UAV) based on cross-feature-attention LSTM network
Long Short-Term Memory Mechanism	Multi-view Consistency View Synthesis
Long Text Generation	Staged Long Text Generation with Progressive Task-Oriented Prompts
Long-Range Context	Multi-scale Structural Asymmetric Convolution for Wireframe Parsing
Long-tailed learning	Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
Long-Term Series Forecasting	LCformer：Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting
LongT5	Abstractive Multi-document Summarization with Cross-Documents Discourse Relations
look-up table	LUT-LIC: Look-up Table-Assisted Learned Image Compression
Loop closure detection	Semantic-pixel Associative Information improving Loop Closure Detection and Experience Map Building for Efficient Visual Representation
Loss	An Improved YOLOv5s for Glass Tube Defect Detection
loss attention	Isomorphic Dual-Branch Network for Non-homogeneous Image Dehazing and Super-Resolution
Loss function	High-Resolution Self-Attention with Fair Loss for Point Cloud Segmentation
Low resolution images	WCA-VFnet:a dedicated complex forest smoke fire detector
Low resource	A Meta Learning-based Training Algorithm for Robust Dialogue Generation
Low-light Image Enhancement	Curve Enhancement: A No-Reference Method for Low-light Image Enhancement Retinex Meets Transformer: Bridging Illumination and Reflectance Maps for Low-light Image Enhancement
Low-rank matrix approximation	Optimal Low-rank QR Decomposition with an Application on RP-TSOD
Low-rank Tucker decomposition	Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-Subject FMRI Data: Application to Schizophrenia
Low-resource	Dual Knowledge Distillation for Neural Machine Translation
Low-resource machine translation	An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning
Low-Resource Speech	Effective Domain Adaptation for Robust Dysarthric Speech Recognition
Low-shot learning	Informative Prompt Learning for Low-shot Commonsense Question Answering via Fine-Grained Redundancy Reduction
LSTM	A health evaluation algorithm for edge nodes based on LSTM MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network
LSTM model	A compliant elbow exoskeleton with an SEA at interaction port
LTSF	FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting
Lung Cancer Survival Prediction	A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images
Lyapunov function	Global Exponential Synchronization of Quaternion-Valued Neural Networks via Quantized Control
M
Machine Learning	Optimal Task Grouping Approach in Multitask Learning A Novel Machine Learning Model using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption Handling Class Imbalance in Forecasting Parkinson's Disease Wearing-off with Fitness Tracker Dataset On the use of persistent homology to control the generalization capacity of a neural network Asymptotic spatio-temporal averaging of the power of EEG signals for schizophrenia diagnostics Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features
Machine Reading Comprehension	Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension A Relation-oriented Approach for Complex Entity Relation Extraction
Machine Translation	SDPSAT: Syntactic Dependency Parsing Structure-guided Semi-Autoregressive Machine Translation Multi-Task Feature Self-Distillation for Semi-Supervised Machine Translation Dual Knowledge Distillation for Neural Machine Translation
Machine Unlearning	Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification
Major depressive disorder	SLG-NET: Subgraph Neural Network with Local-Global Braingraph Feature Extraction Modules and a Novel Subgraph Generation Algorithm for Automated Identification of Major Depressive Disorder
Malicious family classification	A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model
Malitsky-Mishchenko criterion	Adaptive Accelerated Gradient Algorithm for Training Fully Complex-Valued Dendritic Neuron Model
MAML	A Meta Learning-based Training Algorithm for Robust Dialogue Generation
Margin-based classification	Improving Out-of-Distribution Detection with Margin-Based Prototype Learning
Marine Ecology Named Entity Recognition	Few-Shot NER in Marine Ecology using Deep Learning
Marine Predator Algorithm ·	Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters
Markov jump systems	New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control
Mask Generation	Image Blending Algorithm with Automatic Mask Generation
Masked autoencoders	MelMAE-VC: Extending Masked Autoencoders to Voice Conversion
Matching-Aware	Text-to-Image Synthesis With Threshold-Equipped Matching-Aware GAN
Matrix Correction	From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values
Matrix factorization	Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function
Matrix optimization	Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs
Matrix sketch	PEVLR: A New Privacy-preserving and Efficient Approach for Vertical Logistic Regression
Maximum Versoria criterion	Recursive Constrained Maximum Versoria Criterion Algorithm for Adaptive Filtering
MCDA	Determination of local and global decision weights based on fuzzy modeling
Meal recommendation	Category-wise Meal Recommendation
Mechanism Design	Improving Deep Learning Powered Auction Design
Medical Database	Membership Inference Attack against Medical Databases
Medical image processing	Hybrid U-Net: Instrument Semantic Segmentation in RMIS
medical image segmentation	Research on automatic segmentation algorithm of brain tumor image based on multi-sequence self-supervised fusion in complex scenes Segment Anything Model for Semi-Supervised Medical Image Segmentation via selecting reliable pseudo-labels A domain knowledge-based semi-supervised pancreas segmentation approach
Medical report generation	IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
Medical text	Multi-level Feature Enhancement Method For Medical Text Detection
Medication Recommendation	Debiasing Medication Recommendation with Counterfactual Analysis
Membership Inference Attack	Membership Inference Attack against Medical Databases
Memory bank	MemFlowNet: A Network for Detecting Subtle Surface Anomalies with Memory Bank and Normalizing Flow
Memory mechanism	Nearest Memory Augmented Feature Reconstruction for Unified Anomaly Detection
Memristor	Design of Memristor-based Binarized Multi-layer Neural Network with High Robustness
Mental Illness	AudioFormer: Channel Audio Encoder Based on Multi-Granularity Features
Mental stress	A Novel Framework for Forecasting Mental Stress Levels based on Physiological Signals
Mesh Models	Reconstructing Challenging Hand Posture from Multi-modal Input
Message passing	Syntax Tree Constrained Graph Network for Visual Question Answering
Meta-learning	Heterogeneous Graph Prototypical Networks for Few-shot Node Classification
metaheuristics	An Improved NSGA-II for UAV Path Planning
Meteorological station data	STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network
Metric Learning	Leveraging Two-scale Features to Enhance Fine-grained Object Retrieval A lightweight text classification model based on Label Embedding Attentive mechanism
Metro system	OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction
Metropolis Criterion	Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center
MFVCD-7K dataset	Impulsion of Movie's Content-Based Factors in Multi-Modal Movie Recommendation System
Micro nano manipulation	Prediction and analysis of acoustic displacement field using the method of neural network
Micro-expression recognition	Micro-Expression Recognition Based on PCB-PCANet+
microstates	Asymptotic spatio-temporal averaging of the power of EEG signals for schizophrenia diagnostics
Microvascular Invasion	BIN: A Biosignature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction based on Multi-modal MRIs
miniaturization	A frequency reconfigurable multi-mode printed antenna
minimax optimization	Communication-Efficient Distributed Minimax Optimization via Markov Compression
Minimum Satisfiability	Bloomfilter-based Practical Kernelization Algorithm for Minimum Satisfiability
Missing data imputation	STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network
missing modality	CMCI: A Robust Multimodal Fusion Method For Spiking Neural Networks
Mixed Neuron Models	Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds
Mixed sample	CMMix: Cross-Modal Mix Augmentation between Images and Texts for Visual Grounding
mixed traffic	Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network
MLP	PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis Fast and Efficient Brain Extraction with Recursive MLP based 3D UNet
Mobile Robot Navigation	Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions
Model Adaptation	EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
model bias	Can You Really Reason: A Novel Framework for Assessing Natural Language Reasoning Datasets and Models
Model Compression	Dynamic Knowledge Distillation for Reduced Easy Examples Feature Reconstruction Distillation with Self-attention PTCP: Alleviate Layer Collapse in Pruning at Initialization via Parameter Threshold Compensation and Preservation Knowledge Distillation via Information Matching Using Less But Important Information for Feature Distillation Correlation Guided Multi-Teacher Knowledge Distillation
Model deployment	GoatPose: A Lightweight and Efficient Network with Attention Mechanism
Model Extraction Attacks	SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack
Model Fingerprinting	PatchFinger: A Model Fingerprinting Scheme based on Adversarial Patch
Model Partitioning	Resource-aware DNN Partitioning for Privacy-sensitive Edge-Cloud Systems
Model Pre-training	Pre-trained Financial Model for Price Movement Forecasting
Model reuse	CPSSDS-R:Data stream semi-supervised classification algorithm based on conformal prediction
Model Robustness	SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack
Model Scale Reduction	An Improved YOLOv5s for Glass Tube Defect Detection
Model uncertainty	UATR: An Uncertainty Aware Two-stage Refinement Model for Targeted Sentiment Analysis
Mongolian ancient documents	A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition
Monocular Depth Estimation	Multi-View Stereo by Fusing Monocular and a Combination of Depth Representation Methods Unsupervised Monocular Depth Estimation with Semantic Reconstruction using Dual-Discriminator Generative Adversarial Networks Can language really understand depth?
Monotonic mix function	MRRC: Multi-Agent Reinforcement Learning with Rectification Capability in Cooperative Tasks
monte carlo markov chain	Improving SLDS performance using explixit duration variables with infinite support
MOOCs	MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network
Morphological Analysis	An Effective Morphological Analysis Framework of Intracranial Artery in 3D Digital Subtraction Angiography
Motif	Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation
Motion Capture	A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis
Motion coordination	Multi-Mobile Object Motion Coordination with Reinforcement Learning
Motion planning	AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT
Motion Prediction	P-IoU: Accurate Motion Prediction based Data Association for Multi-Object Tracking
Motor imagery (MI)	MTSAN-MI: Multiscale Temporal-Spatial Convolutional Self-Attention Network for Motor Imagery Classification
Movie Recommendation System	Impulsion of Movie's Content-Based Factors in Multi-Modal Movie Recommendation System
MovieLens-100K dataset	Impulsion of Movie's Content-Based Factors in Multi-Modal Movie Recommendation System
MTL	Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-Task Learning and Physical Information
Multi-agent reinforcement learning	Mastering Complex Coordination through Attention-based Dynamic Graph MRRC: Multi-Agent Reinforcement Learning with Rectification Capability in Cooperative Tasks Efficient Collaboration via Interaction Information in Multi-Agent System Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network
Multi-agent system	Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights
Multi-agent systems	High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems Distributed State Estimation for Multi-Agent Systems Under Consensus Control Policy Representation Opponent Shaping via Contrastive Learning Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning
Multi-chain architecture	Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data
Multi-channel hypergraph convolution	Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation
Multi-Criteria Decision Analysis	Evaluation of football players' performance based on Multi-Criteria Decision Analysis approach and sensitivity analysis
Multi-derivative coupled complex networks	Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance
Multi-Dimensional node feature information	Graph Multi-Dimensional Feature Network
Multi-document	Abstractive Multi-document Summarization with Cross-Documents Discourse Relations
Multi-entity pairs	Efficient Chinese Relation Extraction with Multi-entity Dependency Tree Pruning and Path-Fusion
Multi-event	Event-aware Document-level Event Extraction via Multi-granularity Event Encoder
multi-feature integration	Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting
Multi-granularity	Attention Based Spatial-Temporal Dynamic Interact Network for Traffic Flow Forecasting Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions
Multi-granularity knowledge base	Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction
Multi-head attention mechanism	Recurrent Update Representation based on Multi-Head Attention Mechanism for Joint Entity and Relation Extraction
Multi-Head Self-Attention	Retinex Meets Transformer: Bridging Illumination and Reflectance Maps for Low-light Image Enhancement
Multi-hop	Two-Phase Semantic Retrieval For Explainable Multi-Hop Question Answering
Multi-hop aggregation	Adaptive Multi-hop Neighbor Selection for Few-shot Knowledge Graph Completion
Multi-indicator optimization	Enhanced State-Aware Traffic Light Optimization Control Method
Multi-intention	Multi-intent Description of Keyword Expansion for Code Search
multi-label	A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN.
Multi-Label Classification	Category-wise Fine-Tuning for Image Multi-label Classification with Partial Labels
Multi-label image	Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs
Multi-label learning	Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification
Multi-Label Recognition	Category-wise Fine-Tuning for Image Multi-label Classification with Partial Labels
Multi-level attention	Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios
Multi-level weighted feature fusion	YOLO-D: Dual-branch infrared distant target detection based on multi-level weighted feature fusion
Multi-modal Fusion	Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection
Multi-modal Learning	Can language really understand depth?
Multi-modal MRI	BIN: A Biosignature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction based on Multi-modal MRIs
multi-modal sentiment analysis	MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions
Multi-neuron Information Fusion (MIF)	Multi-Neuron Information Fusion for Direct Training Spiking Neural Networks
Multi-object tracking	Block-Matching Multi-Pedestrian Tracking P-IoU: Accurate Motion Prediction based Data Association for Multi-Object Tracking BFMOT: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-Object Tracking
multi-objective	Mitigation of Voltage Violation for Battery Charging Based on Data-Driven Optimization
Multi-Objective Task Scheduling	Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters
Multi-Output Regression	Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-Output Regression
Multi-preference fusion	User Multi-Preferences Fusion for Conversational Recommender Systems
Multi-receptive Field Feature Extraction	MFSFFuse: Multi-Receptive Field Feature Extraction for Infrared and Visible Image Fusion using Self-Supervised Learning
Multi-relationships aggregation	Construction and Prediction of a Dynamic Multi-Relationship Bipartite Network
multi-robot system	A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System
Multi-round Conversational Recommendation	Modeling User's Neutral Feedback in Conversational Recommendation
Multi-sacle Features	MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices
Multi-scale	Multi-Scale Multi-Step Dependency Graph Neural Network for Multivariate Time Series Forecasting An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network
Multi-Scale Feature	Multi-scale Structural Asymmetric Convolution for Wireframe Parsing
Multi-scale Feature Aggregation	Multi-scale Context Aggregation for Video-based Person Re-identification
Multi-scale Feature Extraction	I-RAFT: Optical Flow Estimation Model Based on Multi-scale Initialization Strategy
Multi-scale Feature Fusion	Retinex Meets Transformer: Bridging Illumination and Reflectance Maps for Low-light Image Enhancement
Multi-Scale intent-slots Interaction Module (MSIM)	A deep joint model of Multi-Scale intent-slots Interaction with Second-Order Gate for SLU.
multi-scale local feature extraction	Multi-Scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network
Multi-scale Ship Detection	An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection
Multi-scale targets	FE-YOLOv5:Improved YOLOv5 Network for Multi-scale Drone-captured Scene Detection
Multi-scene noise environment	Attention-Based Deep Convolutional Network for Speech Recognition under Multi-scene Noise Environment
Multi-source	Efficient Attention for Domain Generalization
Multi-Spike Learning	Time-warp-invariant Processing with Multi-spike Learning
Multi-Step Dependency	Multi-Scale Multi-Step Dependency Graph Neural Network for Multivariate Time Series Forecasting
Multi-subject fMRI data	Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-Subject FMRI Data: Application to Schizophrenia
Multi-Task	Multi-Task Feature Self-Distillation for Semi-Supervised Machine Translation Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection
Multi-task framework	A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems
Multi-task learning	A Novel Iterative Fusion Multi-Task Learning Framework for Solving Dense Prediction Attribution of Adversarial Attacks via Multi-Task Learning An Interpretable Vulnerability Detection Method Based on Multi-task Learning MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding Adaptive Focal Inverse Distance Transform Maps for Cell Recognition
Multi-Teacher	Correlation Guided Multi-Teacher Knowledge Distillation
Multi-vehicle platoon	Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network
Multi-view Clustering	From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information
Multi-view context	Learning Discriminative Semantic and Multi-View Context for Domain Adaptive Few-shot Relation Extraction
Multi-view enhancement	Progressive Supervision for Tampering Localization in Document Images
Multi-view feature fusion	MView-DTI: A multi-view feature fusion-based approach for drug-target protein interaction prediction
Multi-view features	Integrating Multi-View Feature Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage Site Prediction
Multi-view Fusion	Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection
Multi-view Stereo	PLKA-MVSNet: Parallel Multi-View Stereo with Large Kernel Convolution Attention Multi-View Stereo by Fusing Monocular and a Combination of Depth Representation Methods
Multi-view subspace clustering	Incomplete Multi-view Subspace Clustering Using Non-Uniform Hyper-Graph for High-Order Information
Multichannel fusion	PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis
multiclass classification	Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation
Multifaceted semantic	Research on Relation Extraction Based on BERT with Multifaceted Semantics
Multihead Cross Attention	Impulsion of Movie's Content-Based Factors in Multi-Modal Movie Recommendation System
Multikernel	Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm
multilingual synthesis	Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech
Multimedia information processing	Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech
Multimedia Retrieval	Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval
Multimodal Classification	Multimodal Isotropic Neural Architecture with Patch Embedding Design of a Multimodal Short Video Classification Model
Multimodal data	Reimagining China-US Relations Prediction: A Multi-Modal, Knowledge-Driven Approach with KDSCINet
Multimodal event classification	Multimodal Event Classification in Social Media
Multimodal Feature Extraction	EWMIGCN: Emotional Weighting based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction
Multimodal fusion	Multimodal Event Classification in Social Media
Multimodal Fusion Architecture Search	Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search
Multimodal Learning	Self-Supervised Multimodal Representation Learning for Product Identification and Retrieval Temporal Modeling Approach for Video Action Recognition Based on Vision-Language Models CMCI: A Robust Multimodal Fusion Method For Spiking Neural Networks Exploring Efficient-Tuned Learning Audio Representation Method from BriVL
Multimodal multiobjective optimization	A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems
Multimodal sentiment analysis	PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis
Multimodality	Transductive Cross-Lingual Scene-Text Visual Question Answering
multiple documents	Improve Conversational Search with Multi-Document Information
Multiple Reservoir Echo State Networks	Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification
Multiple sequences	Research on automatic segmentation algorithm of brain tumor image based on multi-sequence self-supervised fusion in complex scenes
Multiple-delay	Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm
Multiscale	Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting
multiscale information fusion	Multi-Scale Information Fusion Combined with Residual Attention for Text Detection
multiscale temporal-spatial convolution	MTSAN-MI: Multiscale Temporal-Spatial Convolutional Self-Attention Network for Motor Imagery Classification
Multispectral Remote Sensing Images	Semantic Segmentation of Multispectral Remote Sensing Images with Class Imbalance Using Contrastive Learning
Multitask Learning	Optimal Task Grouping Approach in Multitask Learning
Multivariate time series forecasting	Fashion Trend Forecasting Based on Multivariate Attention Fusion
Multivariate Time-Series Forecasting	Multi-Scale Multi-Step Dependency Graph Neural Network for Multivariate Time Series Forecasting
multiview representation learning	Many Is Better than One: Multiple Covariation Learning for Latent Multiview Representation
Mutual Guide	Mutually Guided Dendritic Neural Models
Mutual information	Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery
Mutual Information Maximization	Towards better evaluations of class activation mapping and interpretability of CNNs
N
n-back tasks	Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels
Named Entity Recognition	A Relation-oriented Approach for Complex Entity Relation Extraction
Nash equilibrium	Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights
Natural Language Generation	Decoupling Style from Contents for Positive Text Reframing
Natural language processing	Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation Few-shot Anomaly Detection in Text with Deviation Learning Diachronic Named Entity Disambiguation for Ancient Chinese Historical Records Minimizing Distortion in Linguistic Steganography via Adaptive Language Model Tuning E3-MG:End-to-End Expert Linking via Multi-Granularity Representation Learning An Attack Entity Deducing Model for Attack Forensics
Natural Language Processing (NLP) Models	MIC: An Effective Defense Against Word-level Textual Backdoor Attacks
Natural Language Understanding	PYGC: a PinYin Language Model Guided Correction Model for Chinese Spell Checking
Naturalistic Emotion Recognition	Naturalistic Emotion Recognition Using EEG and Eye Movements
Nature Language Process	ML2FNet: A Simple but Effective Multi-Level Feature Fusion Network for Document-Level Relation Extraction
Navigation	Modeling online adaptive navigation in virtual environments based on PID control
Negative Selection Algorithm	Botnet Detection Method based on NSA and DRN
Neighbor Dispersion	CenAD: Collaborative Embedding Network for Anomaly Detection with Leveraging Partially Observed Anomalies
Neighborhood learning	Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey
Neighborhood topology	Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey
Network Pruning	Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease
Network representation learning	Dual-Branch Contrastive Learning for Network Representation Learning
Neural Architecture Design	FalconNet: Factorization for the Light-weight ConvNets
Neural Architecture Search	Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds
Neural Collapse	Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse
Neural computing	Modeling online adaptive navigation in virtual environments based on PID control
Neural decoding	RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning
Neural machine translation	Continual Domain Adaption for Neural Machine Translation
Neural network	Effective skill learning on vascular robotic systems: Combining offline and online reinforcement learning Design of Memristor-based Binarized Multi-layer Neural Network with High Robustness DeFusion: Aerial Image Matching Based on Fusion of Handcrafted and Deep Features Amortized variational inference via Nosé-Hoover Thermostat Hamiltonian Monte Carlo Prediction and analysis of acoustic displacement field using the method of neural network Reward-Dependent and Locally Modulated Hebbian Rule for Pattern Classification Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case Using Less But Important Information for Feature Distillation
Neural Network Theory	Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse
Neural networks	STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network Event-Triggered Constrained $H_\infty$ Control Using Concurrent Learning and ADP Human-guided Transfer Learning for Autonomous Robot Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition Multi-Scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
Neural Networks Generalization	On the use of persistent homology to control the generalization capacity of a neural network
neural text-to-speech	Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech
Neuro-Symbolic	Neural-Symbolic Recommendation with Graph-Enhanced Information
Neurodynamics	Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level Asymptotic spatio-temporal averaging of the power of EEG signals for schizophrenia diagnostics
neuromorphic computing	Event-based Object Recognition Using Feature Fusion and Spiking Neural Networks
Neuron group	Multi-Neuron Information Fusion for Direct Training Spiking Neural Networks
Neurosurgery	Real-Time Instance Segmentation and Tip Detection for Neuroendoscopic Surgical Instruments
Neurotopological development	Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
Neurotopology	Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
Nighttime circumstances	Rethinking unsupervised domain adaptation for nighttime tracking
NLP	Explainable Offensive Language Classifier
NLP Application	Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method
No-reference	Curve Enhancement: A No-Reference Method for Low-light Image Enhancement
Node classification	Multi-scale Directed Graph Convolution Neural Network for Node Classification Task
Node Metric	Disentangling Node Metric Factors For Temporal Link Prediction
Noise Divide	NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction
Noise Label	Sample Selection based on Uncertainty for Combating Label Noise
Noise patterns transferring	Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
Non-autoregressive	SDPSAT: Syntactic Dependency Parsing Structure-guided Semi-Autoregressive Machine Translation
non-homogeneous	Isomorphic Dual-Branch Network for Non-homogeneous Image Dehazing and Super-Resolution
Non-isometric Alignment Inference	Exploring Non-Isometric Alignment Inference for Representation Learning of Irregular Sequences
Non-uniform hyper-graph	Incomplete Multi-view Subspace Clustering Using Non-Uniform Hyper-Graph for High-Order Information
Noncooperative game	Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights
Nonlinear feedback	Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm
Nonlinear Multi-agent Systems	Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter
Nonlinear RBFNN-based estimators	Nonlinear NN-Based Perturbation Estimator Designs for Disturbed Unmanned Systems
nonlinear relationship	Many Is Better than One: Multiple Covariation Learning for Latent Multiview Representation
Normal map	NMPose: Leveraging Normal Maps for 6D Pose Estimation
normalising flows	Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech
Normalization	Depth Normalized Stable View Synthesis
Normalizing flow	MemFlowNet: A Network for Detecting Subtle Surface Anomalies with Memory Bank and Normalizing Flow
Novel category discovery	Generalized Category Discovery with Clustering Assignment Consistency
Novel View Synthesis	Multi-view Consistency View Synthesis Depth Normalized Stable View Synthesis
O
Object detection	MVCAL: Multi View Clustering for Active Learning Image Blending Algorithm with Automatic Mask Generation A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through fine-tuning of object detection models An Adaptive Detector for Few Shot Object Detection Novel-Registrable Weights and Region-Level Contrastive Learning for Incremental Few-Shot Object Detection SODet: A LiDAR-based Object Detector in Bird's-Eye View Domain Generalized Object Detection with Triple Graph Reasoning Network TransCenter: Transformer in Heatmap and A New Form of Bounding Box STFormer: Cross-Level Feature Fusion in Object Detection SLAM: A Lightweight Spatial Location Attention Module for Object Detection
object detectors	Neuron Attribution-Based Attacks Fooling Object Detectors
Object pose estimation	6D Object Pose Estimation with Attention Aware Bi-Gated Fusion
object recognition	Event-based Object Recognition Using Feature Fusion and Spiking Neural Networks
obscene classification	LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0
Obstacle avoidance	GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration
Occlusion	Learning Dense UV Completion for 3D Human Mesh Recovery
Occlusion Handle	Enhancement of Masked Expression Recognition Inference Via Fusion Segmentation and Classifier
OCR	CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition Tigrinya OCR: Applying CRNN for Text Recognition
OCT	A Feature Pyramid Fusion Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker Image Segmentation
OD Prediction	AttnOD: An Attention-based OD Prediction Model with Adaptive Graph Convolution
Off-Target Issue	Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes
offline reinforcement learning	Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems
Oil and gas	Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through fine-tuning of object detection models
Oil painting	DAformer: Transformer with Domain Adversarial Adaptation for EEG-based Emotion Recognition with Live-Oil Paintings
One time point dynamic estimates	Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-Subject FMRI Data: Application to Schizophrenia
One-Shot	BFMOT: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-Object Tracking
Online handwriting generation	Diff-Writer: A Diffusion Model Based Stylized Online Handwritten Chinese Character Generator
Online Machine Learning	Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-Output Regression
Ontology	An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application
Open Relation Extraction	DTP: An Open-domain Text Relation Extraction Method
Open-set Annotation	Active Learning for Open-set Annotation Using Contrastive Query Strategy
Open-world problem	Generalized Category Discovery with Clustering Assignment Consistency
Opinion dynamics	Reinforcement Learning-Based Consensus-Reaching in Large-Scale Social Networks
Optical character recognition	Text Spotting of Electrical Diagram Based on Improved PP-OCRv3
Optical Flow	I-RAFT: Optical Flow Estimation Model Based on Multi-scale Initialization Strategy
Optimal allocation problem	Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses
optimal control	Traffic Signal Optimization at T-shaped intersections Based on Deep Q Networks
optimal projection	Optimal Low-rank QR Decomposition with an Application on RP-TSOD
optimal skeleton subgraph topology	A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition
optimal transport	MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions
optimization	On Searching for Minimal Integer Representation of Undirected Graphs
optimization problem	Evolutionary Computation for Berth Allocation Problems: A Survey
Oriented object detection	DRPDDet: Dynamic Rotated Proposals Decoder for Oriented object detection
Origin-Destination matrix	OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction
OSAHS	ONEI: Unveiling Route and Phase of Breathing from Snoring Sounds
Out-of-Distribution Detection	Improving Out-of-Distribution Detection with Margin-Based Prototype Learning
Out-of-distribution generalization	Sharpness-aware Minimization for Out-of-Distribution Generalization
Outer $H_{\infty}$ synchronization	Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance
Outer synchronization	Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance
outlier explanation	Detection of Anomalies and Explanation in Cybersecurity
Outliers	Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function
outlying aspect mining	Detection of Anomalies and Explanation in Cybersecurity
Overestimation Bias	Bias Reduced Methods to Q-learning
Overfitting	Removing Double Descent with Data-dependent Regularization under Non-Asymptotic View
Overlapping community detection	Detect Overlapping Community via Graph Neural Network and Topological Potential
overtake	Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network
P
Packet loss	New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control
Pair-based Self-weighting Loss	DTP: An Open-domain Text Relation Extraction Method
Pancreatic Tumor	Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion
Paper recommendation	Differentiable Topics Guided New Paper Recommendation Paper Recommendation with Multi-View Knowledge-aware Attentive Network
Parafoil system	Intelligent trajectory tracking control of unmanned parafoil system based on SAC optimized LADRC
Parallel training	A Memory Optimization Method for Distributed Training
Parallelism	Distributed Training of Deep Neural Networks: Convergence and Case Study
Parallelization	Parallelizable Simple Recurrent Units with Hierarchical Memory
Parameter threshold compensation and preservation	PTCP: Alleviate Layer Collapse in Pruning at Initialization via Parameter Threshold Compensation and Preservation
parameter-server framework	Communication-Efficient Distributed Minimax Optimization via Markov Compression
Parent selection strategy	High-dimensional multi-objective PSO based on radial projection
Parkinson's Disease	Handling Class Imbalance in Forecasting Parkinson's Disease Wearing-off with Fitness Tracker Dataset
Partial Annotations	Category-wise Fine-Tuning for Image Multi-label Classification with Partial Labels
Partial differential equations	Solving Localized Wave Solutions of the Nonlinear PDEs using Physics-Constraint Deep Learning Method
Partial Labels	Category-wise Fine-Tuning for Image Multi-label Classification with Partial Labels
partial multi-label learning	Partial Multi-label Learning via Constraint Clustering
Partially Observable Markov Decision Process (POMDP)	End-to-End Urban Autonomous Navigation with Decision Hindsight
Partially Observed Anomalies	CenAD: Collaborative Embedding Network for Anomaly Detection with Leveraging Partially Observed Anomalies
Particle swarm optimization	Federated learning using the Particle Swarm Optimization model for the early detection of COVID-19 Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center PSO-enabled Federated Learning for detecting ships in supply chain management
Passenger flow prediction	OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction
Patch Embedding	Multimodal Isotropic Neural Architecture with Patch Embedding
Path Planning	An Improved NSGA-II for UAV Path Planning Optimizing 3D UAV Path Planning: An Approach Incorporating Multiple Mechanisms and Beluga Whale Optimizer
Pattern Recognition	Tigrinya OCR: Applying CRNN for Text Recognition
PCANet+	Micro-Expression Recognition Based on PCB-PCANet+
PCB	Micro-Expression Recognition Based on PCB-PCANet+
Pedestrian Detection	Sequential Transformer for End-to-End Person Search
Pedestrian speed prediction	A Novel Approach for Improved Pedestrian Walking Speed Prediction: Exploiting Proximity Correlation
Pedestrian Trajectory Prediction	CrowdNav-HERO: Pedestrian Trajectory Prediction Based Crowded Navigation with Human-Environment-Robot Ternary Fusion S-CGRU: An Efficient Model for Pedestrian Trajectory Prediction Social-CVAE: Pedestrian Trajectory Prediction using Conditional Variational Auto-Encoder
Peer-to-peer learning system	A Framework of Large-Scale Peer-to-Peer Learning System
penalty	Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer
performance modeling	Accurate Latency Prediction of Deep Learning Model Inference under Dynamic Runtime Resource
persistent homology	On the use of persistent homology to control the generalization capacity of a neural network
Person Re-identification	Sequential Transformer for End-to-End Person Search Text-based Person Re-ID by Saliency Mask and Dynamic Label Smoothing
Person Search	Sequential Transformer for End-to-End Person Search
Personalized generation models	PAG: Protecting Artists’ Works from Personlizing Image Generative Models
Personalized Prediction	EWMIGCN: Emotional Weighting based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction
perturbation estimation	Nonlinear NN-Based Perturbation Estimator Designs for Disturbed Unmanned Systems
phase locking value	How do native and non-native listeners differ? Investigation with dominant frequency bands in auditory evoked potential
Phase timing	Interactive Attention-Based Graph Transformer for Multi-Intersection Traffic Signal Control
Phishing Scam Detection	Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks
Physical adversarial attack	ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving
Physical/physiological constraints	Ignored Details in Eyes: Exposing GAN-generated Faces by Sclera
Physics constraint	Solving Localized Wave Solutions of the Nonlinear PDEs using Physics-Constraint Deep Learning Method
Physics-informed neural networks	Solving the inverse problem of laser with complex-valued field by physics-informed neural networks
Piecewise Linear Activation Functions	Comparative Analysis of the Linear Regions in ReLU and LeakyReLU Networks
pin diodes	A frequency reconfigurable multi-mode printed antenna
Pinyin Language Model	PYGC: a PinYin Language Model Guided Correction Model for Chinese Spell Checking
Pipeline Approach	A Relation-oriented Approach for Complex Entity Relation Extraction
PM2.5 estimation	Prior-Enhanced Network for Image-based PM2.5 Estimation from Imbalanced Data Distribution
PM2.5 Pollution	Spatiotemporal PM2.5 Pollution Prediction Using Cloud-Edge Intelligence
Pneumatic exoskeleton	Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
POI Recommendation	POI Recommendation based on Double-level Spatio-temporal Relationship in Locations and Categories
Point annotation	Adaptive Focal Inverse Distance Transform Maps for Cell Recognition
Point cloud	Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation
Point Clouds	RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving
Policy Adaptation	Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
polygonal patch	A frequency reconfigurable multi-mode printed antenna
Polymorphic Image Processing	Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression
Polyp segmentation	FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies DAMFormer: Enhancing Polyp Segmentation through Dual Attention Mechanism
population	Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers
portfolio optimization	A Revamped Sparse Index Tracker leveraging $K$--\,Sparsity and Reduced Portfolio Reshuffling
Pose estimation	Temporal Attention for Robust Multiple Object Pose Tracking Learning to Match Features with Geometry-aware Pooling
Pose Space	Reconstructing Challenging Hand Posture from Multi-modal Input
Position Estimation	Enhancing Camera Position Estimation by Multi-View Pure Rotation Recognition and Automated Annotation Learning
Positive Text Feframing	Decoupling Style from Contents for Positive Text Reframing
post-training	Improve Conversational Search with Multi-Document Information
Potential field	GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration
power spectra	Asymptotic spatio-temporal averaging of the power of EEG signals for schizophrenia diagnostics
PP-OCRv3	Text Spotting of Electrical Diagram Based on Improved PP-OCRv3
pre-classifier restorer network	Restore Translation Using Equivariant Neural Networks
Pre-trained language model	Sentiment Analysis Based on Pre-trained Language Models: Recent Progress CRE: An Efficient Ciphertext Retrieval Scheme based on Encoder
Pre-trained model	CBDN: A Chinese short-text classification model based on Chinese BERT and fused deep neural networks
Predefined-time Consensus	Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter
Predefined-time Synchronization	Predefined-time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control New predefined-time stability theorem and applications to the fuzzy stochastic memristive neural networks with impulsive effects
Prediction	A Novel Machine Learning Model using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption KSHFS: Research on Drug-Drug Interaction Prediction Based on Knowledge Subgraph and High-order Feature-aware Structure
Preprocessing	Classification of Hard and Soft Wheat Species using Hyperspectral Imaging and Machine Learning Models
Price Forecasting	Pre-trained Financial Model for Price Movement Forecasting
Prior information	Prior-Enhanced Network for Image-based PM2.5 Estimation from Imbalanced Data Distribution
Privacy Information Security	Membership Inference Attack against Medical Databases
Privacy preservation	PEVLR: A New Privacy-preserving and Efficient Approach for Vertical Logistic Regression
Privacy Protection	Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach Cancellable iris recognition scheme based on inversion fusion and local ranking Encrypted-SNN: A Privacy-Preserving Method for converting Artificial Neural Networks to Spiking Neural Networks
Privacy-preserving	Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data
Privacy-preserving Machine learning	Resource-aware DNN Partitioning for Privacy-sensitive Edge-Cloud Systems
probabilistic graphical models	Improving SLDS performance using explixit duration variables with infinite support
Probability Graph Model	Embedding Entity and Relation for Knowledge Graph by Probability Directed Graph
Product Similarity	Self-Supervised Multimodal Representation Learning for Product Identification and Retrieval
Progressive supervision	Progressive Supervision for Tampering Localization in Document Images
Projected Gradient	Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network
projected gradient descent	A Revamped Sparse Index Tracker leveraging $K$--\,Sparsity and Reduced Portfolio Reshuffling
projection operator	A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System
Prompt Based Learning	Staged Long Text Generation with Progressive Task-Oriented Prompts
Prompt learning	EDDVPL: A Web Attribute Extraction Method with Prompt Learning Knowledge Prompting with Contrastive Learning for Unsupervised Commonsense Question Answering Instance-aware and Semantic-guided Prompt for Few-shot Learning in Large Language Models Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain
Prompt tuning	Efficient Prompt Tuning for Vision and Language Models
Proof of Shapley	PoShapley-BCFL: A fair and robust decentralized federated learning based on blockchain and the proof of Shapley-value
Property Characteristics	Link Prediction Based on the Sub-graphs Learning with Fused Features
Proposal matching	Adaptive Focal Inverse Distance Transform Maps for Cell Recognition
Prostate MRI Segmentation	Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation
Protease cleavage site	Integrating Multi-View Feature Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage Site Prediction
Prototype learning	Improving Out-of-Distribution Detection with Margin-Based Prototype Learning
Prototypical Network (ProtoNet)	Sign Language Recognition for Low Resource Languages using Few Shot Learning
Pruning at initialization	PTCP: Alleviate Layer Collapse in Pruning at Initialization via Parameter Threshold Compensation and Preservation
Pruning Before Training	Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease
Pruning RoI proposal	A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images
Pseudo Label Learning	Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels
pseudo labels	Segment Anything Model for Semi-Supervised Medical Image Segmentation via selecting reliable pseudo-labels
Pseudo-Label	Generating Pseudo-Labels for Car Damage Segmentation using Deep Spectral Method
Pyramid data augmentation	Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network
Pólya Urn model	Topic Modeling for Short Texts via Adaptive Pólya Urn Dirichlet Multinomial Mixture
Q
Q-learning	Bias Reduced Methods to Q-learning Q-Learning Based Adaptive Scheduling Method For Hospital Outpatient Clinics
QR decomposition	Optimal Low-rank QR Decomposition with an Application on RP-TSOD
Quadrotor UAV	Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks
Quadruped robots	Responsive CPG-Based Locomotion Control for Quadruped Robots
quantization techniques	Quantized SGD in Federated Learning: Communication, Optimization and Generalization
Quantized control	Global Exponential Synchronization of Quaternion-Valued Neural Networks via Quantized Control
Quantum autoencoder	Quantum Autoencoder Frameworks for Network Anomaly Detection
Quantum Computing	Soybean Genome Clustering using Quantum-Based Fuzzy C-Means Algorithm
Quantum machine learning	Quantum Autoencoder Frameworks for Network Anomaly Detection
Quantum mechanics	Applications of Quantum Embedding in Computer Vision
Quaternion	Three-dimensional rotation knowledge representation learning based on graph context
Quaternion-valued neural networks	Global Exponential Synchronization of Quaternion-Valued Neural Networks via Quantized Control
Question answering	A Relation-oriented Approach for Complex Entity Relation Extraction Two-Phase Semantic Retrieval For Explainable Multi-Hop Question Answering
Queuing Theory	Q-Learning Based Adaptive Scheduling Method For Hospital Outpatient Clinics
quotation element extraction	A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application
R
Radar Target Detection	Novel Method for Radar Echo Target Detection
Radial projection	High-dimensional multi-objective PSO based on radial projection
Radio-frequency signals	RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study
random phase erasing (RPE)	SSVEP Data Augmentation based on Filter Band Masking and Random Phase Erasing
Random Walk Aggregation Strategy	TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant History Event and Temporal Neighborhood Event Context
Rank-learning	Trajectory Prediction with Contrastive Pre-training and Social Rank Fine-tuning
Ranked ciphertext retrieval	CRE: An Efficient Ciphertext Retrieval Scheme based on Encoder
Ranking Similarity Regularization	LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression
Rate coding	RMPE:Reducing Residual Membrane Potential Error for Enabling High-accuracy and Ultra-low-latency Spiking Neural Networks
rating prediction	Contrastive Hierarchical Gating Networks for Rating Prediction
RBF Network	Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network
RBF neural network	Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks
real-time applications	Effi-Seg: Rethinking EfficientNet Architecture for Real-time Semantic Segmentation
Real-Time Inference	BFMOT: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-Object Tracking
Real-time processing	PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for deformable objects in indoor environments
Real-time Response	MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices
Real-Time semantic segmentation	ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving
Rebalance Sampling Strategy	Semantic Segmentation of Multispectral Remote Sensing Images with Class Imbalance Using Contrastive Learning
Receptive field	Knowledge Distillation via Information Matching TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting
Recommendation	Learning Item Attributes and User Interests for Knowledge Graph Enhanced Recommendation
Recommendation system	A Graph Convolution Neural Network for User-group Aided Personalized Session-based Recommendation
Recommendation Systems	Interactive Selection Recommendation Based on the Multi-Head Attention Graph Neural Network Neural-Symbolic Recommendation with Graph-Enhanced Information
Recommender System	Heterogeneous Graph Fusion with Adversarial Learning for Recommendation Service Contrastive Learning-Based Music Recommendation Model Multi-view Contrastive learning for Knowledge-aware Recommendation Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems
Recommender systems	Curiosity Enhanced Bayesian Personalized Ranking for Recommender Systems All You See is the Tip of the Iceberg: Distilling Latent Interactions can Help You Find Treasures
Rectified pyramid consistency	RPUC: Semi-supervised 3D Biomedical Image Segmentation through Rectified Pyramid Unsupervised Consistency
recurrent network	A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework
Recurrent Neural Network	DAGAN: Generative Adversarial Network with Dual Attention-enhanced GRU for Multivariate Time Series Imputation Parallelizable Simple Recurrent Units with Hierarchical Memory Small-World Echo State Networks for Nonlinear Time-Series Prediction
Recurrent update	Recurrent Update Representation based on Multi-Head Attention Mechanism for Joint Entity and Relation Extraction
Redundancy in Pre-trained language models	Informative Prompt Learning for Low-shot Commonsense Question Answering via Fine-Grained Redundancy Reduction
Redundant manipulator motion control	Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level
Refined coverage attention	Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network
Region Of Interest	TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection
Registration	Reconstructing Challenging Hand Posture from Multi-modal Input
Regularization	Dual Knowledge Distillation for Neural Machine Translation A domain knowledge-based semi-supervised pancreas segmentation approach
Reinforcement Learning	Effective skill learning on vascular robotic systems: Combining offline and online reinforcement learning Two-Stage Attention Model to Solve Large-Scale Traveling Salesman Problems PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic Impulsive Accelerated Reinforcement Learning for H∞ Control Human-guided Transfer Learning for Autonomous Robot Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification A reinforcement learning-based controller designed for Intersection signal suffering from Information Attack Policy Representation Opponent Shaping via Contrastive Learning Actor-Critic with variable time discretization via sustained actions Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning Reinforcement Learning-Based Consensus-Reaching in Large-Scale Social Networks Spiking Reinforcement Learning for Weakly-supervised Anomaly Detection Traffic Signal Optimization at T-shaped intersections Based on Deep Q Networks A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings Lateral Interactions Spiking Actor Network for Reinforcement Learning Latent Causal Dynamics Model for Model-based Reinforcement Learning End-to-End Urban Autonomous Navigation with Decision Hindsight Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning Mitigation of Voltage Violation for Battery Charging Based on Data-Driven Optimization Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
Reinforcement Learning (RL)	Graph Pointer Network and Reinforcement Learning for Thinnest Path Problem
Relation correlation	Document-Level Relation Extraction with Relation Correlation Enhancement
Relation extraction	Recurrent Update Representation based on Multi-Head Attention Mechanism for Joint Entity and Relation Extraction Joint Entity and Relation Extraction for Legal Documents based on Table Filling A Relation-oriented Approach for Complex Entity Relation Extraction Two-Stage Graph Convolutional Networks for Relation Extraction NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction
Relation graph construction	Document-Level Relation Extraction with Relation Correlation Enhancement
Relation Reasoning	A Bi-Directional Optimization Network for De-Obscured 3D High-Fidelity Surface Reconstruction
Relation triplet extraction	Zero-shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation
Relational Aggregation	Graph Attention Network Knowledge Graph Completion Model Based on Relational Aggregation
Relational Graph Neural Network	Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension
Relational learning and adaptation	Explainable Sparse Associative Self-Optimizing Neural Networks for Classification
Relational representation	Recurrent Update Representation based on Multi-Head Attention Mechanism for Joint Entity and Relation Extraction
Remaining Useful Life Prediction	Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft based on Variational Autoencoder
Remote Desktop	Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience
Remote sensing	Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through fine-tuning of object detection models
remote-sensing image classification	On efficient federated learning for aerial remote sensing image classification: a filter pruning approach
Representation learning	Learning Representations for Sparse Crowd Answers Exploring Non-Isometric Alignment Inference for Representation Learning of Irregular Sequences Time-Series Forecasting through Contrastive Learning with a Two-Dimensional Self-Attention Mechanism Three-dimensional rotation knowledge representation learning based on graph context SRLI:Handling Irregular Time Series with a Novel Self-supervised Model based on Contrastive Learning
Representation-based	BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval
Reservoir adaptation	Small-World Echo State Networks for Nonlinear Time-Series Prediction
Reservoir Computing	Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification
residual attention	Multi-Scale Information Fusion Combined with Residual Attention for Text Detection
ResNet	Hazardous Driving Scenario Identification with Limited Training Samples
Resource Allocation	Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate
Resource-constrained Computing	Fast and Efficient Brain Extraction with Recursive MLP based 3D UNet
Resource-Constrained Devices	Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL)
Respiratory Disease	A Federated Multi-Stage Light-Weight Vision Transformer for Respiratory Disease Detection
Resting-state fMRI	SLG-NET: Subgraph Neural Network with Local-Global Braingraph Feature Extraction Modules and a Novel Subgraph Generation Algorithm for Automated Identification of Major Depressive Disorder
Retinal Biomarker Segmentation	A Feature Pyramid Fusion Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker Image Segmentation
Retinex Decomposition	Retinex Meets Transformer: Bridging Illumination and Reflectance Maps for Low-light Image Enhancement
Retrieval-augmented	Zero-shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation
Reversed Loss	All You See is the Tip of the Iceberg: Distilling Latent Interactions can Help You Find Treasures
Reversible Data Hiding	Reversible data hiding based on adaptive embedding with local complexity Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression
Reweighting perception	Reinforcement Learning-Based Consensus-Reaching in Large-Scale Social Networks
RGB image	A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model
Ridge Regression	Robust LS-QSVM Implementation via Efficient Matrix Factorization and Eigenvalue Estimation
Road safety	Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features
road surface condition	Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN
robotic control	Actor-Critic with variable time discretization via sustained actions
Robotics	GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration
Robust Classification	Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition
Robust Graph Learning	Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information
Robust loss function	Domain Generalization via Implicit Domain Augmentation
Robustness	Can You Really Reason: A Novel Framework for Assessing Natural Language Reasoning Datasets and Models A Meta Learning-based Training Algorithm for Robust Dialogue Generation Recursive Constrained Maximum Versoria Criterion Algorithm for Adaptive Filtering CKR-Calibrator: Convolution Kernel Robustness Evaluation and Calibration
Robustness and Generalization	Spiking Reinforcement Learning for Weakly-supervised Anomaly Detection
Role Distribution	SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism
Role-based Multi-agent Reinforcement Learning	SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism
Rolling Bearings	Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels
Rotationonly Recognition	Enhancing Camera Position Estimation by Multi-View Pure Rotation Recognition and Automated Annotation Learning
Route Representation Learning	PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
RP-TSOD	Optimal Low-rank QR Decomposition with an Application on RP-TSOD
RRT	AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT
rs-fMRI	Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Rumor Detection	User stance aware network for rumor detection using semantic relation inference and temporal graph convolution Graph Contrastive ATtention Network for Rumor Detection Rumor Detection with Supervised Graph Contrastive Regularization
Rumor Propagation Tree	Graph Contrastive ATtention Network for Rumor Detection Rumor Detection with Supervised Graph Contrastive Regularization
RWKV	Social-CVAE: Pedestrian Trajectory Prediction using Conditional Variational Auto-Encoder
RWKV language model	An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning
S
SAC	Intelligent trajectory tracking control of unmanned parafoil system based on SAC optimized LADRC
sample reweighting	Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction
Sample Selection	Sample Selection based on Uncertainty for Combating Label Noise
sampling	Differential Private (Random) Decision Tree without Adding Noise
Sampling-based algorithms	AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT
scalability	A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework
Scene text detection	TextBFA: Arbitrary Shape Text Detection with Bidirectional Feature Aggregation
Scene Text Recognition	CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition
Scene Text Understanding	CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition
Schizophrenia	Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-Subject FMRI Data: Application to Schizophrenia
schizophrenia diagnostics	Asymptotic spatio-temporal averaging of the power of EEG signals for schizophrenia diagnostics
Scoring Function	Embedding Entity and Relation for Knowledge Graph by Probability Directed Graph
SDF	Implicit Clothed Human Reconstruction Based on Self-attention and SDF
Second-Order Gate (SOG)	A deep joint model of Multi-Scale intent-slots Interaction with Second-Order Gate for SLU.
Security hardening	A Stealth Security Hardening Method Based on SSD Firmware Function Extension
Segment Anything Model	Segment Anything Model for Semi-Supervised Medical Image Segmentation via selecting reliable pseudo-labels
Segmentation	An Effective Morphological Analysis Framework of Intracranial Artery in 3D Digital Subtraction Angiography Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion
Segmentation of Vertebrae and Intervertebral Discs	A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN.
Segmentation quality metric	TASFormer: Task-aware Image Segmentation Transformer
Selected permutation	PEVLR: A New Privacy-preserving and Efficient Approach for Vertical Logistic Regression
selection rule	Multi-Neuron Information Fusion for Direct Training Spiking Neural Networks
Self distillation	Educational Pattern Guided Self-Knowledge Distillation for Siamese Visual Tracking
Self-Adaptability	Self-Adaptive Inverse Soft-Q Learning for Imitation
Self-Adaptive Graph Convolution	AttnOD: An Attention-based OD Prediction Model with Adaptive Graph Convolution
Self-adaptive loss function	Solving Localized Wave Solutions of the Nonlinear PDEs using Physics-Constraint Deep Learning Method
Self-admitted Technical Debt	Identifying Self-Admitted Technical Debt with Context-based Ladder Network
Self-attention	Feature Reconstruction Distillation with Self-attention MTSAN-MI: Multiscale Temporal-Spatial Convolutional Self-Attention Network for Motor Imagery Classification DAGAN: Generative Adversarial Network with Dual Attention-enhanced GRU for Multivariate Time Series Imputation A lightweight safety helmet detection network based on bidirectional connection module and Polarized Self-Attention Cross-Modal Method based on Self-Attention Neural Networks for Drug-Target Prediction High-Resolution Self-Attention with Fair Loss for Point Cloud Segmentation MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network Implicit Clothed Human Reconstruction Based on Self-attention and SDF
Self-attention mechanism	Time-Series Forecasting through Contrastive Learning with a Two-Dimensional Self-Attention Mechanism
Self-supervised	Learnable Color Image Zero-Watermarking Based on Feature Comparison MFSFFuse: Multi-Receptive Field Feature Extraction for Infrared and Visible Image Fusion using Self-Supervised Learning
self-supervised fusion	Research on automatic segmentation algorithm of brain tumor image based on multi-sequence self-supervised fusion in complex scenes
Self-Supervised Learning	Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation Self-Supervised Multimodal Representation Learning for Product Identification and Retrieval Graph Multi-Dimensional Feature Network MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection Multi-view Contrastive learning for Knowledge-aware Recommendation Self-Supervised-Enhanced Dual Hierarchical Graph Convolution Network for Social Recommendation
self-supervision learning	Dual-Branch Contrastive Learning for Network Representation Learning
Semantic Consistency	Semantic Segmentation of Multispectral Remote Sensing Images with Class Imbalance Using Contrastive Learning
Semantic Errors	CSEC: A Chinese Semantic Error Correction Dataset for Written Correction
Semantic features	ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis
Semantic information	Semantic-pixel Associative Information improving Loop Closure Detection and Experience Map Building for Efficient Visual Representation
semantic line detection	Semantic Line Detection Using Deep-Hough Network with Attention Mechanism and Strip Convolution
Semantic Reconstruction	Unsupervised Monocular Depth Estimation with Semantic Reconstruction using Dual-Discriminator Generative Adversarial Networks
Semantic search	CRE: An Efficient Ciphertext Retrieval Scheme based on Encoder
Semantic Segmentation	PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for deformable objects in indoor environments DOS Dataset: A Novel Indoor Deformable Object Segmentation Dataset for Sweeping Robots Semantic Segmentation of Multispectral Remote Sensing Images with Class Imbalance Using Contrastive Learning Introducing Semantic-based Receptive Field into Semantic Segmentation via Graph Neural Networks Effi-Seg: Rethinking EfficientNet Architecture for Real-time Semantic Segmentation Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation Hybrid U-Net: Instrument Semantic Segmentation in RMIS High-Resolution Self-Attention with Fair Loss for Point Cloud Segmentation DAMFormer: Enhancing Polyp Segmentation through Dual Attention Mechanism Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates
Semantic similarity	Three-dimensional rotation knowledge representation learning based on graph context
Semi-asynchronous learning	A Framework of Large-Scale Peer-to-Peer Learning System
Semi-Supervised	S3ACH: Semi-Supervised Semantic Adaptive Cross-modal Hashing
Semi-supervised classification	CPSSDS-R:Data stream semi-supervised classification algorithm based on conformal prediction
Semi-supervised Learning	Mutually Guided Dendritic Neural Models Identifying Self-Admitted Technical Debt with Context-based Ladder Network Multi-Level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-Supervised Cardiac MRI Segmentation Segment Anything Model for Semi-Supervised Medical Image Segmentation via selecting reliable pseudo-labels RPUC: Semi-supervised 3D Biomedical Image Segmentation through Rectified Pyramid Unsupervised Consistency A domain knowledge-based semi-supervised pancreas segmentation approach
Semi-supervised medical image segmentation	RPUC: Semi-supervised 3D Biomedical Image Segmentation through Rectified Pyramid Unsupervised Consistency
Sensitivity analysis	Evaluation of football players' performance based on Multi-Criteria Decision Analysis approach and sensitivity analysis
Sentence embedding	Empirical Analysis of Multi-label Classification on GitterCom using BERT MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding
Sentence structure grammar	Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction
Sentiment analysis	Sentiment Analysis Based on Pre-trained Language Models: Recent Progress UATR: An Uncertainty Aware Two-stage Refinement Model for Targeted Sentiment Analysis
Separable Convolution	Channel Attention Separable Convolution Network for Skin Lesion Segmentation
Separable resource losses	Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses
Seq2Seq Model	Decoupling Style from Contents for Positive Text Reframing
SeqGAN	Few-Shot NER in Marine Ecology using Deep Learning
Sequence Decomposition	LCformer：Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting
Sequence to sequence model	PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
Sequential recommendation	Modeling Both Collaborative and Temporal Information for Sequential Recommendation
Series Decompose Frequency	FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting
Series elastic actuators	A compliant elbow exoskeleton with an SEA at interaction port
Session-based recommendation	A Graph Convolution Neural Network for User-group Aided Personalized Session-based Recommendation
SGD	Quantized SGD in Federated Learning: Communication, Optimization and Generalization
Shadow Model	Membership Inference Attack against Medical Databases
shape theory	A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System
Shapley additive explanations (SHAP)	Ensemble of randomized neural network and boosted trees for eye-tracking-based driver situation awareness recognition and interpretation
Sharpness-aware minimization	Sharpness-aware Minimization for Out-of-Distribution Generalization
ship	PSO-enabled Federated Learning for detecting ships in supply chain management
Ship Fuel Consumption	A Novel Machine Learning Model using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption
Short text clustering	Matrix Contrastive Learning for Short Text Clustering
Short Texts	Topic Modeling for Short Texts via Adaptive Pólya Urn Dirichlet Multinomial Mixture
short-term load forecasting	Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting
Siamese network	LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0 Multi-Granularity Contrastive Siamese Networks for Abstractive Text Summarization
Sign Language	Sign Language Recognition for Low Resource Languages using Few Shot Learning
Sign Language Recognition (SLR)	Sign Language Recognition for Low Resource Languages using Few Shot Learning
Signal Control	Traffic Signal Control Optimization Based on Deep Reinforcement Learning With Attention Mechanisms
Signal processing	Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
similar matrix	Unsupervised Feature Selection Using Both Similar and Dissimilar Structures
Similarity evaluation	Block-Matching Multi-Pedestrian Tracking
Simple paths	Link Prediction with Simple Path-Aware Graph Neural Networks
Simple Recurrent Unit	Parallelizable Simple Recurrent Units with Hierarchical Memory
Simulated Annealing	Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center
Single feedback	Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm
Single Task	Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection
Single-shot Pruning	Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease
Single-view human reconstruction	Implicit Clothed Human Reconstruction Based on Self-attention and SDF
SIoU loss	Multiclass Classification and Defect Detection of Steel tube using modified YOLO
Situation awareness (SA)	Ensemble of randomized neural network and boosted trees for eye-tracking-based driver situation awareness recognition and interpretation
Skeleton-based data	Language Guided Graph Transformer for Skeleton Action Recognition
Skin lesion segmentation	Channel Attention Separable Convolution Network for Skin Lesion Segmentation A Multi-Scale and Multi-Attention Network for Skin Lesion Segmentation
skinned multi-person linear (SMPL)	Learning Dense UV Completion for 3D Human Mesh Recovery
Sliding Mode Control	Predefined-time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control
Slot Filling	A deep joint model of Multi-Scale intent-slots Interaction with Second-Order Gate for SLU.
Slot memory unit	Enhancing LSTM and fusing articles of law for legal text summarization
Small Data	Mutually Guided Dendritic Neural Models
Small fire objects	WCA-VFnet:a dedicated complex forest smoke fire detector
Small-world network	Small-World Echo State Networks for Nonlinear Time-Series Prediction
smart agriculture	An Improved NSGA-II for UAV Path Planning
Smart Contracts	Multi-model smart contract vulnerability detection based on BiGRU
Smoke detection	ESTNet: Efficient Spatio-Temporal Network for Industrial Smoke Detection
snippet attention	Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation
snoring sound	ONEI: Unveiling Route and Phase of Breathing from Snoring Sounds
Social Interaction	Trajectory Prediction with Contrastive Pre-training and Social Rank Fine-tuning
Social network	User stance aware network for rumor detection using semantic relation inference and temporal graph convolution Reinforcement Learning-Based Consensus-Reaching in Large-Scale Social Networks
Social Networks	Curiosity Enhanced Bayesian Personalized Ranking for Recommender Systems ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks CATS: Connection-aware and Interaction-based Text Steganalysis in Social Networks
Social Recommendation	Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation Self-Supervised-Enhanced Dual Hierarchical Graph Convolution Network for Social Recommendation
Soft Role Assignment	SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism
SOM	Applications of Quantum Embedding in Computer Vision
Soybean	Soybean Genome Clustering using Quantum-Based Fuzzy C-Means Algorithm
Sparrow Search Algorithm	Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters
Sparse Approximation	Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network
Sparse graph networks	SGLP-Net: Sparse Graph Label Propagation Network for Weakly-Supervised Temporal Action Localization
Sparse index tracking	A Revamped Sparse Index Tracker leveraging $K$--\,Sparsity and Reduced Portfolio Reshuffling
Sparse network structure self-development	Explainable Sparse Associative Self-Optimizing Neural Networks for Classification
Sparse reward	ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward
Spatial Consistency	Enhancing Spatial Consistency and Class-level Diversity for Segmenting Fine-grained Objects
Spatial Context	A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images
Spatial Feature	Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement
Spatial information	Transformer-based Video Deinterlacing Method
Spatial position	SLAM: A Lightweight Spatial Location Attention Module for Object Detection
Spatial Transcriptomics	Spatial Gene Expression Prediction using Hierarchical Sparse Attention
Spatial-temporal data prediction	M$^3$FGM:A Node Masking and Multi-granularity Message passing-based Federated Graph Model for Spatial-Temporal Data Prediction
Spatial-Temporal graph convolutional networks	OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction
Spatio-temporal dynamics learning	DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation
Spatio-temporal Information	POI Recommendation based on Double-level Spatio-temporal Relationship in Locations and Categories
Spatio-temporal learning	ESTNet: Efficient Spatio-Temporal Network for Industrial Smoke Detection
Spectral Clustering	Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information
Spectral Theory	Accelerate Support Vector Clustering via Spectral Data Compression
Spectrum analysis	Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
Speech emotion recognition	CM-TCN: Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion Recognition AudioFormer: Channel Audio Encoder Based on Multi-Granularity Features Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition
Speech enhancement	TPTGAN: Two-Path-Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping For Speech Enhancement
Speech Recognition	Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Time-warp-invariant Processing with Multi-spike Learning Attention-Based Deep Convolutional Network for Speech Recognition under Multi-scene Noise Environment
Speech Representation Learning	Exploring Efficient-Tuned Learning Audio Representation Method from BriVL
Speed planning	AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT
Spike Neural Networks	RMPE:Reducing Residual Membrane Potential Error for Enabling High-accuracy and Ultra-low-latency Spiking Neural Networks
Spiking Neural Network	Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds Brain-inspired Binaural Sound Source Localization Method Based On Liquid State Machine Spiking Reinforcement Learning for Weakly-supervised Anomaly Detection
Spiking neural network (SNN)	Event-based Object Recognition Using Feature Fusion and Spiking Neural Networks Multi-Neuron Information Fusion for Direct Training Spiking Neural Networks
Spiking Neural Networks	Encrypted-SNN: A Privacy-Preserving Method for converting Artificial Neural Networks to Spiking Neural Networks Time-warp-invariant Processing with Multi-spike Learning CMCI: A Robust Multimodal Fusion Method For Spiking Neural Networks Lateral Interactions Spiking Actor Network for Reinforcement Learning
Spirometry	Non-Contact Respiratory Flow Extraction from Infrared Images Using Balanced Data Classification
Split Learning	M$^3$FGM:A Node Masking and Multi-granularity Message passing-based Federated Graph Model for Spatial-Temporal Data Prediction Resource-aware DNN Partitioning for Privacy-sensitive Edge-Cloud Systems
split-and-merging	Human-to-Human Interaction Detection
Spoken language processing	Make Spoken Document Readable: Leveraging Graph Attention Networks for Chinese Document-Level Spoken-to-Written Simplification
Sporadic Time Series	AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs
Sport management	Evaluation of football players' performance based on Multi-Criteria Decision Analysis approach and sensitivity analysis How to support sport management with decision systems? Swimming athletes assessment study case
Square root finding	Anti-Interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding
SSD firmware	A Stealth Security Hardening Method Based on SSD Firmware Function Extension
Stable Equilibrium Point	Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point
Stance Inference	User stance aware network for rumor detection using semantic relation inference and temporal graph convolution
Star-Transformer	Topic-aware Two-layer Context-enhanced Model for Chinese Discourse Parsing
statistical analysis	Towards undetectable adversarial examples: a steganographic perspective
Statistical Features	ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis
steady-state visual evoked potential (SSVEP)	SSVEP Data Augmentation based on Filter Band Masking and Random Phase Erasing
steganography	Towards undetectable adversarial examples: a steganographic perspective
Stereo Vision	A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates
Stochastic Disturbance	New predefined-time stability theorem and applications to the fuzzy stochastic memristive neural networks with impulsive effects
Stochastic gradient algorithm	A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization
Stochastic Model	AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs
stochastic partial differential equation	Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer
Stock Forecast	An End-To-End Structure with novel position mechanism and improved EMD for Stock Forecasting
Stock Market	Deep Learning Based Personalized Stock Recommender System
Stock Ranking Recommendation	DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation
strip convolution	Semantic Line Detection Using Deep-Hough Network with Attention Mechanism and Strip Convolution
structural associative knowledge graphs	Structural Properties of Associative Knowledge Graphs
Structural Features	Link Prediction Based on the Sub-graphs Learning with Fused Features
Structural re-parameterization	MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networks
Stubbing complexity	A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings
Sub-Apertures Divide	An improved target searching and imaging method for CSAR
Sub-instruction	Sub-Instruction and Local Map Relationship Enhanced Model for Vision and Language Navigation
Sub-Optimal Expert Demonstration	Self-Adaptive Inverse Soft-Q Learning for Imitation
Subgoal discovery	Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery
Subgraph neural network	SLG-NET: Subgraph Neural Network with Local-Global Braingraph Feature Extraction Modules and a Novel Subgraph Generation Algorithm for Automated Identification of Major Depressive Disorder
Subgraph Representation	Link Prediction Based on the Sub-graphs Learning with Fused Features
Subnet Training	Distributed Training of Deep Neural Networks: Convergence and Case Study
Subpolicy	Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Subproblem partitioning	Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics
Substitute training	A Data-free Substitute Model Training Method for Textual Adversarial Attacks
Super-resolution	Direct Inter-Intra View Association for Light Field Super-Resolution Isomorphic Dual-Branch Network for Non-homogeneous Image Dehazing and Super-Resolution Light Field Image Super-Resolution via Global-View Information Adaptation-Guided Deformable Convolution Network Knowledge-Distillation-Warm-Start Training Strategy for Lightweight Super-Resolution Networks
supply chain management	PSO-enabled Federated Learning for detecting ships in supply chain management
Support systems	How to support sport management with decision systems? Swimming athletes assessment study case
Support Vector Clustering	Accelerate Support Vector Clustering via Spectral Data Compression
Surgical robotics	Hybrid U-Net: Instrument Semantic Segmentation in RMIS
Surrogate	Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate
Survey	A Comprehensive Review of Arabic Question Answering Datasets
SVM	Robust LS-QSVM Implementation via Efficient Matrix Factorization and Eigenvalue Estimation
Sweeping Robot	DOS Dataset: A Novel Indoor Deformable Object Segmentation Dataset for Sweeping Robots
Swimming	How to support sport management with decision systems? Swimming athletes assessment study case
Swin Transformer	Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection
switching linear dynamical systems	Improving SLDS performance using explixit duration variables with infinite support
Symbolic Reasoning	Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension
Symbolic regression	Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations
Syntactic dependency parsing	SDPSAT: Syntactic Dependency Parsing Structure-guided Semi-Autoregressive Machine Translation
Syntactic dependency tree	Aspect-level sentiment analysis using dual probability graph convolutional networks (DP-GCN) integrating multi-scale information
Syntax tree	Syntax Tree Constrained Graph Network for Visual Question Answering
synthetic data	Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech
System identification	Recursive Constrained Maximum Versoria Criterion Algorithm for Adaptive Filtering
T
T-Cell Receptor	T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
T-S fuzzy model	A compliant elbow exoskeleton with an SEA at interaction port
tam	LIP READING USING TEMPORAL ADAPTIVE MODULE
Tampering localization	Progressive Supervision for Tampering Localization in Document Images
Target association	Block-Matching Multi-Pedestrian Tracking
Task embedding	TASFormer: Task-aware Image Segmentation Transformer
Task Optimization	Domain-Invariant Task Optimization for Cross-domain Recommendation
Task Scheduling	Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center
Taylor	A 3D UWB hybrid localization method based on BSR and L-AOA
TCR sequence	T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
TD3	Adaptive load frequency control and optimization based on TD3 algorithm and linear active disturbance rejection control
TDOA	A 3D UWB hybrid localization method based on BSR and L-AOA
Temporal Action Localization	Weakly Supervised Temporal Action Localization Through Segment Contrastive Learning
Temporal Convolutional Network	Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft based on Variational Autoencoder
Temporal convolutional networks	CM-TCN: Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion Recognition
Temporal difference	Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification
temporal embeddings	Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting
Temporal Graph Processing	Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification
Temporal Information	Temporal Attention for Robust Multiple Object Pose Tracking
Temporal Knowledge Graph Completion	TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant History Event and Temporal Neighborhood Event Context
Temporal Link Prediction	Disentangling Node Metric Factors For Temporal Link Prediction
Temporal Spatial Relation Feature	DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation
Temporal Task Graph	Temporal Task Graph based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games
Tensor	Anti-Interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding
Tensor algebra	A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems
Tensor completion	Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
Tensor decomposition	Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
Tensor learning	Incomplete Multi-view Subspace Clustering Using Non-Uniform Hyper-Graph for High-Order Information
Tent Map	Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center
Text anomaly	Few-shot Anomaly Detection in Text with Deviation Learning
Text Classification	A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing CBDN: A Chinese short-text classification model based on Chinese BERT and fused deep neural networks A lightweight text classification model based on Label Embedding Attentive mechanism
Text detection	Multi-level Feature Enhancement Method For Medical Text Detection Multi-Scale Information Fusion Combined with Residual Attention for Text Detection
Text Generation	Hi-Stega : A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation
Text Mining	E3-MG:End-to-End Expert Linking via Multi-Granularity Representation Learning
Text Recognition	Tigrinya OCR: Applying CRNN for Text Recognition
Text-to-Image Synthesis	Text-to-Image Synthesis With Threshold-Equipped Matching-Aware GAN Text to Image Generation with Conformer-GAN Co-GAN:A Text-to-Image Synthesis Model with Local and Integral Features
Text-to-SQL	Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain
Textual adversarial attack	A Data-free Substitute Model Training Method for Textual Adversarial Attacks
TextVQA	Transductive Cross-Lingual Scene-Text Visual Question Answering
Thai	HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
The Encrypted Image	Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression
theory-guided neural network	Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer
Thinnest Path Problem (TPP)	Graph Pointer Network and Reinforcement Learning for Thinnest Path Problem
Three-Dimensional	Three-Dimensional Medical Image Fusion with Deformable Cross-Attention
Three-dimensional rotation	Three-dimensional rotation knowledge representation learning based on graph context
Three-Way Decision	GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions
Tigrinya	Tigrinya OCR: Applying CRNN for Text Recognition
Time Series	STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network Multimodal Isotropic Neural Architecture with Patch Embedding Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft based on Variational Autoencoder SRLI:Handling Irregular Time Series with a Novel Self-supervised Model based on Contrastive Learning
Time Series Analysis	Time Series Anomaly Detection with a Transformer Residual Autoencoder-Decoder
Time Series Forecasting	Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting ECOST: Enhanced CoST Framework for Fast and Accurate Time Series Forecasting
Time series imputation	DAGAN: Generative Adversarial Network with Dual Attention-enhanced GRU for Multivariate Time Series Imputation
Time series modeling	A Novel Approach for Improved Pedestrian Walking Speed Prediction: Exploiting Proximity Correlation
Time series prediction	Time-Series Forecasting through Contrastive Learning with a Two-Dimensional Self-Attention Mechanism
Time varying	Anti-Interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding
Time-frequency attention	EEG epileptic seizure classification using hybrid time-frequency attention deep network
Time-frequency domain	Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition
Time-Limited	Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing
Time-series forecasting	Reimagining China-US Relations Prediction: A Multi-Modal, Knowledge-Driven Approach with KDSCINet
Time-series prediction	Small-World Echo State Networks for Nonlinear Time-Series Prediction
Time-Varying Equations	Theoretical Analysis of Gradient-Zhang Neural Network for Time-Varying Equations and Improved Method for Linear Equations
Time-Warp-Invariant Processing	Time-warp-invariant Processing with Multi-spike Learning
Tip detection	Real-Time Instance Segmentation and Tip Detection for Neuroendoscopic Surgical Instruments
Tissue Slide Image	Spatial Gene Expression Prediction using Hierarchical Sparse Attention
TL-score	Impulsion of Movie's Content-Based Factors in Multi-Modal Movie Recommendation System
Topic Boundary	Topic-aware Two-layer Context-enhanced Model for Chinese Discourse Parsing
Topic model	Differentiable Topics Guided New Paper Recommendation Enhancing LSTM and fusing articles of law for legal text summarization
Topic Modeling	Topic Modeling for Short Texts via Adaptive Pólya Urn Dirichlet Multinomial Mixture
Topological potential matrix	Detect Overlapping Community via Graph Neural Network and Topological Potential
Topology	Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
TOPSIS	Determination of local and global decision weights based on fuzzy modeling
TPTGAN	TPTGAN: Two-Path-Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping For Speech Enhancement
Tracking by Detection	P-IoU: Accurate Motion Prediction based Data Association for Multi-Object Tracking
Traffic Analysis	Botnet Detection Method based on NSA and DRN
Traffic data recovery	Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function
Traffic flow prediction	Attention Based Spatial-Temporal Dynamic Interact Network for Traffic Flow Forecasting
Traffic Prediction	AttnOD: An Attention-based OD Prediction Model with Adaptive Graph Convolution
traffic signal	Traffic Signal Optimization at T-shaped intersections Based on Deep Q Networks
Traffic signal control	Interactive Attention-Based Graph Transformer for Multi-Intersection Traffic Signal Control Enhanced State-Aware Traffic Light Optimization Control Method
Train trajectory optimization	ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward
Training strategy	Knowledge-Distillation-Warm-Start Training Strategy for Lightweight Super-Resolution Networks
Trajectory association	A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance
Trajectory Generation	Generating Spatiotemporal Trajectories with GANs and Conditional GANs
Trajectory Prediction	Trajectory Prediction with Contrastive Pre-training and Social Rank Fine-tuning
Trajectory recovery	PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
Trajectory tracking	Intelligent trajectory tracking control of unmanned parafoil system based on SAC optimized LADRC
Trans-former	Research on automatic segmentation algorithm of brain tumor image based on multi-sequence self-supervised fusion in complex scenes
Transfer learning	Human-guided Transfer Learning for Autonomous Robot DAformer: Transformer with Domain Adversarial Adaptation for EEG-based Emotion Recognition with Live-Oil Paintings Domain Generalized Object Detection with Triple Graph Reasoning Network Domain Generalization via Implicit Domain Augmentation Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate
transferability	Neuron Attribution-Based Attacks Fooling Object Detectors
Transferbility	Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention
Transfomer	Transformer-based Video Deinterlacing Method
transformation invariance	Restore Translation Using Equivariant Neural Networks
Transformer	IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification Direct Inter-Intra View Association for Light Field Super-Resolution Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement TASFormer: Task-aware Image Segmentation Transformer Image Inpaiting with Semantic U-Transformer Sequential Transformer for End-to-End Person Search A Feature Pyramid Fusion Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker Image Segmentation Fashion Trend Forecasting Based on Multivariate Attention Fusion A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition Multimodal Event Classification in Social Media Language Guided Graph Transformer for Skeleton Action Recognition Progressive Temporal Transformer for Bird's-Eye-View Camera Pose Estimation MView-DTI: A multi-view feature fusion-based approach for drug-target protein interaction prediction Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition ML2FNet: A Simple but Effective Multi-Level Feature Fusion Network for Document-Level Relation Extraction DAMFormer: Enhancing Polyp Segmentation through Dual Attention Mechanism Learning to Match Features with Geometry-aware Pooling
Transformer Autoencoder-Decoder	Time Series Anomaly Detection with a Transformer Residual Autoencoder-Decoder
Transformer Encoder (TE)	Sign Language Recognition for Low Resource Languages using Few Shot Learning
Transformer Hawkes Process	TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant History Event and Temporal Neighborhood Event Context
Transformers	IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
translational equivariant network	Restore Translation Using Equivariant Neural Networks
Transportation	Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features
Travel Time Prediction	Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach
Traveling salesman problem	Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics
Tree convolution	Syntax Tree Constrained Graph Network for Visual Question Answering
Triple Metric Learning	MIC: An Effective Defense Against Word-level Textual Backdoor Attacks
Truncated Loss	All You See is the Tip of the Iceberg: Distilling Latent Interactions can Help You Find Treasures
truncated triplet loss	Contrastive Learning Augmented Graph Auto-Encoder for Graph Embedding
TSO Algorithm	The Construction of DNA coding sets by An Intelligent Optimization Algorithm: TMOL-TSO
Two-path transformer	TPTGAN: Two-Path-Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping For Speech Enhancement
Two-stage	Generating Spatiotemporal Trajectories with GANs and Conditional GANs A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN.
two-stage model training	Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting
Two-Swarm Merge	The Construction of DNA coding sets by An Intelligent Optimization Algorithm: TMOL-TSO
U
U-Net	Image Inpaiting with Semantic U-Transformer Channel Attention Separable Convolution Network for Skin Lesion Segmentation
UAV	On efficient federated learning for aerial remote sensing image classification: a filter pruning approach Optimizing 3D UAV Path Planning: An Approach Incorporating Multiple Mechanisms and Beluga Whale Optimizer
UAVs	An Improved NSGA-II for UAV Path Planning
Uformer	Uformer++: Light Uformer for Image Restoration
uman-in-the- Loop Machine Learning	Label Selection Approach to Learning from Crowds
Unbalanced data	Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
Underestimation Bias	Bias Reduced Methods to Q-learning
Underfitting and overfitting	Explainable Sparse Associative Self-Optimizing Neural Networks for Classification
UNet	Uformer++: Light Uformer for Image Restoration
uniform stability	Quantized SGD in Federated Learning: Communication, Optimization and Generalization
Unmanned Aerial Vehicle	Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles
Unmanned Aerial Vehicles	Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios
unmanned systems	Nonlinear NN-Based Perturbation Estimator Designs for Disturbed Unmanned Systems
Unsupervised domain adaptation	Rethinking unsupervised domain adaptation for nighttime tracking
Unsupervised feature selection	Unsupervised Feature Selection Using Both Similar and Dissimilar Structures
Unsupervised hashing	Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-modal Retrieval
Unsupervised Learning	CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection Unsupervised Monocular Depth Estimation with Semantic Reconstruction using Dual-Discriminator Generative Adversarial Networks Leveraging Hierarchical Similarities for Contrastive Clustering Unsupervised Fabric Defect Detection Framework based on Knowledge Distillation
Urban Autonomous Navigation	End-to-End Urban Autonomous Navigation with Decision Hindsight
User's Neutral Feedback	Modeling User's Neutral Feedback in Conversational Recommendation
Utterance interaction	Discourse-Aware Causal Emotion Entailment
V
Value Factorization	Mastering Complex Coordination through Attention-based Dynamic Graph
Variable time interval	Enhanced State-Aware Traffic Light Optimization Control Method
Variational Autoencoder	Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft based on Variational Autoencoder
variational inference	Amortized variational inference via Nosé-Hoover Thermostat Hamiltonian Monte Carlo
Variational Quantum Algorithm	Robust LS-QSVM Implementation via Efficient Matrix Factorization and Eigenvalue Estimation
Vascular robotic system	Effective skill learning on vascular robotic systems: Combining offline and online reinforcement learning
Vehicle pose estimation	A neural network architecture for accurate 4D vehicle pose estimation from monocular images with uncertainty assesment
Vehicle re-identification	Graph-based Vehicle Keypoint Attention Model for Vehicle Re-identification
Vehicle Usage Behavior	Optimal Task Grouping Approach in Multitask Learning
Velocity and input constraints	High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems
Ventral side (crease up)	Classification of Hard and Soft Wheat Species using Hyperspectral Imaging and Machine Learning Models
Vertical federated learning	PEVLR: A New Privacy-preserving and Efficient Approach for Vertical Logistic Regression
Very large language model	Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation
Vessel traffic surveillance	A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance
Vessel trajectory	Deep Learning-Empowered Unsupervised Maritime Anomaly Detection
Vestibular sensory feedback	Responsive CPG-Based Locomotion Control for Quadruped Robots
Vickrey Auction	A Distributed kWTA for Decentralized Auctions
Video Analytics	EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
video super-resolution	A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework
Video understanding	ESTNet: Efficient Spatio-Temporal Network for Industrial Smoke Detection Enhancing Camera Position Estimation by Multi-View Pure Rotation Recognition and Automated Annotation Learning
Video-based Person Re-identification	Multi-scale Context Aggregation for Video-based Person Re-identification
Vigilance estimation	A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI
Violence Detection	Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search
virtual machine	Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers
Virtual reality	Modeling online adaptive navigation in virtual environments based on PID control
Visible-thermal Person re-identification	MGFNet: A Multi-Granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-Identification
Vision Attention	I-RAFT: Optical Flow Estimation Model Based on Multi-scale Initialization Strategy
Vision Transformer	A Federated Multi-Stage Light-Weight Vision Transformer for Respiratory Disease Detection Temporal Attention for Robust Multiple Object Pose Tracking VFIQ: A Novel Model of ViT-FSIMc Hybrid Siamese Network for Image Quality Assessment TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting
Vision-Language Pre-training	Can language really understand depth?
Visual grounding	CMMix: Cross-Modal Mix Augmentation between Images and Texts for Visual Grounding
Visual Language Models	Efficient Prompt Tuning for Vision and Language Models
Visual Navigation	Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning
Visual object tracking	Educational Pattern Guided Self-Knowledge Distillation for Siamese Visual Tracking Rethinking unsupervised domain adaptation for nighttime tracking
Visual Primitive	Learning Primitive-aware Discriminative Representations for Few-shot Learning
Visual question answering	Syntax Tree Constrained Graph Network for Visual Question Answering
Visual tracking	Customized Anchors Can Better Fit the Target in Siamese Tracking
Visualization technique	A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model
VLN-CE	Sub-Instruction and Local Map Relationship Enhanced Model for Vision and Language Navigation
voice conversion	MelMAE-VC: Extending Masked Autoencoders to Voice Conversion Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech
Vulnerability	Multi-model smart contract vulnerability detection based on BiGRU
Vulnerability Detection	An Interpretable Vulnerability Detection Method Based on Multi-task Learning
Vulnerabilty detection	Multi-granularity Deep Vulnerability Detection using Graph Neural Networks
W
Wasserstein Regularizer	Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
water flow optimizer	Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer
WCA-VFnet	WCA-VFnet:a dedicated complex forest smoke fire detector
Weak Supervision	ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks
Weakly Supervised Learning	A Weakly Supervised Deep Learning Model for Alzheimer’s Disease Prognosis Using MRI and Incomplete Labels Weakly Supervised Temporal Action Localization Through Segment Contrastive Learning
Weakly-supervised Anomaly Detection	Spiking Reinforcement Learning for Weakly-supervised Anomaly Detection
Weakly-Supervised Temporal Action Localization	SGLP-Net: Sparse Graph Label Propagation Network for Weakly-Supervised Temporal Action Localization
Wearing-off Phenomenon	Handling Class Imbalance in Forecasting Parkinson's Disease Wearing-off with Fitness Tracker Dataset
Weather suppression	Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios
Web Information Extraction	EDDVPL: A Web Attribute Extraction Method with Prompt Learning
Web search and mining	Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech
weighted phase lag index	How do native and non-native listeners differ? Investigation with dominant frequency bands in auditory evoked potential
weighting methods	How to support sport management with decision systems? Swimming athletes assessment study case
Whole Slide Image	A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images
Wide&Deep	User Multi-Preferences Fusion for Conversational Recommender Systems
Wind speed retrieval	Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-Task Learning and Physical Information
Wireframe Parsing	Multi-scale Structural Asymmetric Convolution for Wireframe Parsing
Word recognition	A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition
Writing Correction	CSEC: A Chinese Semantic Error Correction Dataset for Written Correction
Y
YOLO	Multiclass Classification and Defect Detection of Steel tube using modified YOLO
YOLOv5	FE-YOLOv5:Improved YOLOv5 Network for Multi-scale Drone-captured Scene Detection
YOLOv5s	An Improved YOLOv5s for Glass Tube Defect Detection
YOLOv7	Multiclass Classification and Defect Detection of Steel tube using modified YOLO
Z
Zero-shot	Zero-shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation
Zero-shot Learning	TEZARNet : TEmporal Zero-shot Activity Recognition Network
Zero-Shot Multilingual Machine Translation	Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes
Zero-shot Quantization	ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization
Zero-watermarking	Learnable Color Image Zero-Watermarking Based on Feature Comparison
Zeroing neural network	Anti-Interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding
Zhang inequation equivalency	Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level
{
{Legal case retrieval	BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval
ε
ε dominance	A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems