PRICAI 2025: PACIFIC RIM INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 2025

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

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2D and 3D Vision	EffiPerception: A Plug-and-Play Efficiency Enhancement Framework for 2D and 3D Perception Models
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3D Gaussian Splatting	SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting
3D Object Detection	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion Learning 3D Proposals in Spatio-Temporal Transformer for Multi-Camera Driving Scene Object Detection
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4D mmWave Radar	MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion
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Abductive Reasoning	Enhancing LLM Abductive Reasoning through MCMC Premise Retrieval
Accelerated Sampling	CASD: An Accelerated Sampling Framework for ECG Denoising
Accuracy Improvement	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
Accuracy-robustness trade-off	PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization
Activation Dynamics	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
adaptation	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Adaptive attention mechanism	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Adaptive Control	Meta Learning-enhanced Iterative Learning Control for Tracking
Adaptive Learning	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Adaptive Mutation	Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies
Adaptive Neighbor Aggregation	MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering
Adaptive planning	VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided
Adaptive Regularization	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Adversarial attack	More Imperceptible Adversarial Attack Method on Graph Neural Networks
Adversarial Attack	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Adversarial Attacks	Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Adversarial Examples	Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN
Adversarial Robustness	When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation
Adversarial Samples	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Adversarial training	PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization
Affective computing	Affective Resonance to Agency Alignment: Sense of Agency in Human–centered AI
Agent Communication Protocols	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Agent framework	AgentFactory: Towards Automated Agentic System Design and Optimization
Agentic AI	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Agricultural application	ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
AI applications	Solving occlusion for complete plant models with accurate 3D metrics
AI Applications	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
AI Ethics	FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning
AI for Chemistry	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
AI for Science	Tutorial: Science in the Fifth Paradigm: A Tutorial on Science Discovery with Artificial Intelligence (S5-TDAI)
AI for Science	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
AI in Medical Education	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
AI-Generated Text Detection	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Air Quality Prediction	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Alarm Management	Industrial-Scale Autonomous eXplainable Iterative Learning
Alarm Prediction	Industrial-Scale Autonomous eXplainable Iterative Learning
algorithm selection	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Alignment	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
ALS	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Alternative BN strategy	PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization
Alzheimer's Disease	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Amodal completion	ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Anchor Words	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
Animal Cognition	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Anomaly Detection	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets
Anomaly Detection	Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection
Anuran Species Classification	Dual-branch Mamba based multi-label Anuran species classification
Approach and landing phase	Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model
aquaculture	Local Context-Aware Buoyancy Prediction for Mussel Farm Floats
Arabic Medical Agent	Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM
Arbitrary-Oriented	ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Artificial Intelligence	StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion Tutorial: Adaptive Machine Learning Evolutionary Intelligence: From DNA to Deployment
Aspect Sentiment Triplet Extraction (ASTE)	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation
Asymmetric Distance	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
asynchronous learning	A Brain-Inspired Asynchronous Learning Framework for Augmenting Deep Neural Networks with Limited Data
Attention	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Attention Mechanism	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization Training-free Clothing Region of Interest Self-correction for Virtual Try-On AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion BAD: Bidirectional Attention-Guided Distillation for Object Detection MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Attention mechanism	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Attention Mechanisms	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning
attribute selection	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
Audio-Visual-Language Model	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
Autism AI dataset	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
Automated agentic optimization	AgentFactory: Towards Automated Agentic System Design and Optimization
Automated code generation	VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided
Automated Essay Scoring	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring
automated facilitation agent	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Automated Inspection	Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing
Automated Machine Learning (AutoML)	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection
automated prompt optimization	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Automatic evaluation of dataseta	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Automatic Program Repair	DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging
Automatic pruning	Evolutionary Weight Pruning: A PSO-Based Approach
Automaton	Extracting Automaton from Video Recognition Model
AutoML	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Autonomous Building Construction	Towards Autonomous Building Construction: A Multi-Agent Framework Leveraging Large Multimodal Models
Autonomous Driving	Learning 3D Proposals in Spatio-Temporal Transformer for Multi-Camera Driving Scene Object Detection
Autonomous robotics interventional	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
AVeriTeC	Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs
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Backpropagation-free	Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training
Balance theory	Beyond Local Balance: A Global Perspective for Signed Network Embedding
Balanced Learning	Balanced Learning for Incremental Multi-view Clustering
Banknote Authentication	Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN
Batch arrivals	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals
Batch domain adaptation	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Bayes test	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Bayesian inference	Evaluating Semantic Representations in Multimodal Word Grounding
belief change	Belief Change with Full Memory and Trust
Benchmark	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Benchmarking	Prompt Attacks and Safeguards in Large Language Models: A Survey Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
BERT	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
bi-space search	A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems
Bias	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
bin packing	A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems
Biomarker Discovery	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Biomedical Data Visualiza-tion	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Bipartite Graph	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Block-regularized mx2 cross validation	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Blockchain	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
brain-inspired	A Brain-Inspired Asynchronous Learning Framework for Augmenting Deep Neural Networks with Limited Data
Budget-Constrained Service Composition	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
buoyancy prediction	Local Context-Aware Buoyancy Prediction for Mussel Farm Floats
Bus vehicle scheduling	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling
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Calibration	Uncertainty Estimation by Human Perception versus Neural Models
CAMEO	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
Capacitated arc routing problem	Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem
Cardiovascular diseases	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Catastrophic Forgetting	Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation Controlled Cluster Separation for Class Incremental Learning
Causal inference	TDCRec: Time-varying Demand Causal modeling for Recommendation debiasing
Causal representation	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Cement Compressive Strength	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Chain of Events	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
Chain of Thought	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Chain-of-thought distillation	CDFG:Enhancing Chain-of-Thought Distillation with Feedback
Chain-of-Thought Reasoning (CoT)	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Chatterjee's rank correlation coefficient	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
Child Psychology	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Chinese Grammatical Error Correction	MACGEC: An LLM-Driven Multi-Agent Framework for Chinese Grammatical Error Correction
Circle Packing Problem	A Study on the Performance of Real-Coded Genetic Algorithms for the Circle Packing Problem Using Q-Learning
Class Imbalance	Generalized Few-Shot Node Classification via Training Set Refinement
Class Incremental Learning	Controlled Cluster Separation for Class Incremental Learning
Class-Incremental Learning	Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller
Classification	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Classification Encoding	A Comparative Study of Variational and Vector Encoders in Graph User Matching
CLEVR Dataset	Evaluating Semantic Representations in Multimodal Word Grounding
Client Selection	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Clinician-Patient Communication	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
CLIP	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Cluster-Aware Assessment	MADCAP: A Multi-Agent Deliberative Framework for Robust Assessment of Open-Ended Questions
Clustering	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
CNN-LSTM-AE	Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets
CNN-Transformer	MACT: Mutation-Aware CNN-Transformer for ESG Forecasting
Co-Clustering	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Co-evolutionary algorithm	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Code-Switching	A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction
Cognitive bias	Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
Cognitive Computing	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Cognitive Diagnosis	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model RAGCD: Relation-Aware Graph for Cognitive Diagnosis
Cognitive Science	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Collaborative Filtering	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Collective agency	Reasoning from Norms to Collective Agency
Combinatorial Optimization	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
Communication efficient	NewtonPIR: Communication Efficient Single-Server PIR
competency verification	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
Comprehensive Video Understanding	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
computational complexity	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
Computational Efficiency	EDGM: Efficient and Dynamic Generative Model for Dataset Distillation Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Computational Efficient Attention Mechanisms	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Computational Linguistics	DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection
Computer Vision	Local Context-Aware Buoyancy Prediction for Mussel Farm Floats ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Concealed Weapon Detection	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
Concept	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Concept Drift	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Concept Drifts	Tutorial: Adaptive Machine Learning
consensus building	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Constrained Laplacian Rank	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Constraint Handling Technique	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
context awareness	Local Context-Aware Buoyancy Prediction for Mussel Farm Floats
Contextual Understanding	Towards Effective Event Argument Extraction via Enhanced Contextual Understanding
Continual Learning	Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller
Continual Learning	Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation
Continuous-time control	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Contrastive Causal Learning	PRISM: Principled Reasoning for Identifying and Suppressing Model Biases at Scale
Contrastive Gradient Modulation	Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation
Contrastive Learning	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning MGMRec: Learning Multi-Granularity Representations for Multi-Behavior Recommendation AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Contrastive learning	Federated Dual-Clustered Prototype Learning under Domain Heterogeneity StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching Contrastive Graph Clustering with Structure-Aware Enhancement
Contrastive pre-training	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Controllable Human Motion Prediction	GAM: A Generative Autoencoder for Diverse Human Motion Prediction
Controlled experiment	Subset Selection for Stratified Sampling in Online Controlled Experiments
Conversational Recommender System	Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Convolutional neural networks	Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation Automated Design of Neural Networks for River Flow Prediction using Weather Data
Correlation Explanation	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
Counterfactual Explanations	Watermarking Counterfactual Explanations
Critical Learning Periods	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
CRNN	HCTLR: A Hybrid CNN-Conformer Framework for Offline Handwritten Chinese Text Line Recognition
Cross Platform User Identification	A Comparative Study of Variational and Vector Encoders in Graph User Matching
Cross-distribution generalization	Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem
Cross-lingual Generalization	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Cross-modal alignment	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Cross-modal distillation	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection
cross-modality	DBFormer: Dual Branch Transformer for Visible-infrared Person Re-identification
Cross-Model Attention	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
Cuffless blood pressure estimation	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Cyberbullying Detection	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation
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Data Augmentation	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation MACT: Mutation-Aware CNN-Transformer for ESG Forecasting SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
Data cleaning	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Data mining	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Data Replay	Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation
Data Science	Integrating Sensemaking in a Question-Driven Development Framework for Textual Narrative Reporting Applications
Data Streams	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning Tutorial: Adaptive Machine Learning
Data-driven method	AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction
data-driven sampling	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
Data-to-text	Integrating Sensemaking in a Question-Driven Development Framework for Textual Narrative Reporting Applications
Databases	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Debiasing approach	PRISM: Principled Reasoning for Identifying and Suppressing Model Biases at Scale
Decentralized AI	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Decentralized Autonomous Organizations (DAO)	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Decentralized Identity	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Deceptive Few-shots Learning	FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning
Decision transformer	OnDeFog: Online Decision Transformer under Frame Dropping
Deep Features	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Deep graph clustering	Contrastive Graph Clustering with Structure-Aware Enhancement
Deep Learning	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network MACT: Mutation-Aware CNN-Transformer for ESG Forecasting Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation Industrial-Scale Autonomous eXplainable Iterative Learning Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder Tutorial: Evolutionary Neural Architecture Search: Methods and Theory Tutorial: Neural Network Design and Large Language Models (NASL2M) Tutorial: Science in the Fifth Paradigm: A Tutorial on Science Discovery with Artificial Intelligence (S5-TDAI) Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Deep Learning	Local Context-Aware Buoyancy Prediction for Mussel Farm Floats SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Deep learning	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Deep Learning for NLP	DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection
Deep neural networks	Metric learning for multi-image super-resolution VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Deep Reinforcement Learning	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
DEF-YOLO	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
Default logic	Reasoning from Norms to Collective Agency
Deformable Convolution	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
Degree of belief	A Logic for Ramsey’s Measurement of Credence
Delta Encoding	Patching LLMs Efficiently for Edge Devices
Demonstrations	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
DETR	Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Dexterous Manipulation	OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
Diabetic retinopathy grading	A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading
Dialogue Simulation	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Differentiable sorting and ranking	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
Differential Update	Patching LLMs Efficiently for Edge Devices
Diffusion Model	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Diffusion Model	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates CASD: An Accelerated Sampling Framework for ECG Denoising Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection
Diffusion models	EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
Dimensionality reduction	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Discriminative Multi-view	Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning
dispersion	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Distance-based measure	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Distortion Robustness	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Distributed Computing	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Distribution Shift	Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Diverse human motion prediction	GAM: A Generative Autoencoder for Diverse Human Motion Prediction
DNN	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Document-level Event Extraction	An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction
Document-level Relation Extraction	Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning
domain decomposition	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Domain heterogeneity	Federated Dual-Clustered Prototype Learning under Domain Heterogeneity
Domain Shift	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Domain-Specific Model Optimization	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Drug Editing	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
dual branch	DBFormer: Dual Branch Transformer for Visible-infrared Person Re-identification
Dual-domain perception transformer	A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading
Dynamic Error Classification	MACGEC: An LLM-Driven Multi-Agent Framework for Chinese Grammatical Error Correction
Dynamic flexible job shop scheduling	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals
Dynamic Fusion	MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding
Dynamic graph	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning
Dynamic Low-Rank Projection	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Dynamic noise control	EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
Dynamic project scheduling	Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling
Dynamic temporal graph	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning
Dynamic-segment masking	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification
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Early diagnosis	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Early sepsis prediction	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Edge-Cloud Computing	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
efficient fine-tuning	TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
Efficient inference	Leveraging Runtime Information for LLM Quantization
Efficient Perception	EffiPerception: A Plug-and-Play Efficiency Enhancement Framework for 2D and 3D Perception Models
Efficient Reasoning	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Electrocardiogram	CASD: An Accelerated Sampling Framework for ECG Denoising
Elite Exchange Strategies	Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies
Embedding Transfer	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Embedding-level Attack	When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation
EMG	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Emotion Recognition in Conversation	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Emotional support conversation	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Empirical Bayes calibration	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Empirical Mode Decomposition (EMD)	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
English-centric Language Models	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Enrollment selection	Phoneme-Based Optimization of Enrollment Selection for Speaker Identification
epistemic logic	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
ESG Forecasting	MACT: Mutation-Aware CNN-Transformer for ESG Forecasting
Evaluation	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Event Argument Extraction	Towards Effective Event Argument Extraction via Enhanced Contextual Understanding
Event Prediction	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Evolutionary Algorithm	A Study on the Performance of Real-Coded Genetic Algorithms for the Circle Packing Problem Using Q-Learning
Evolutionary Algorithms	LLM-Distilled Surrogate Model for Expensive Multi-Objective Optimization
Evolutionary computation	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies Tutorial: Evolutionary Neural Architecture Search: Methods and Theory Evolutionary Intelligence: From DNA to Deployment
Evolutionary computation	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Evolutionary learning	From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression A Consistent Lebesgue Measure for Multi-label Learning
evolutionary multi-objective optimization	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Exemplar Selection	Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller
Expensive optimization	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Expert multi-head attention	Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem
Explainability	Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic
Explainable AI	Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction Interpreting Safety: A LLM and STPA Approach
Extrapolation	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Extreme learning machine	ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems
F
Fabric Defect Detect	Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing
Face Clustering	MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering
Fact Extraction and Verification	Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs
Fairness	Balancing Fairness and Performance Under Multiple Sensitive Attributes
Fast Fourier Transform	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Fault Diagnosis	Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Fault Trees	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
Feature Engineering	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Feature Extraction	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators
Feature Fusion	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Feature matching	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Feature Selection	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Feature Transformation	MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation
Feature-wise Linear Modulation	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Federated learning	Federated Dual-Clustered Prototype Learning under Domain Heterogeneity CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Feign Security Agents	FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning
Few-shot	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Few-shot Document-level Extraction	Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning
Few-shot Learning	ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring
Filtering	AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction
fine-tuning	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Fine-tuning Alignment	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning
Fine-tuning strategy	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning
Fisher information matrix	TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search
Fixed Vocabulary Partitioning	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Flexible Region Detection	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators
Fluency Assessment	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Football	Player position classification with fuzzy clustering
Forecasting	SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting
Forgetting-Aware	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Forward Forward algorithm	Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training
Foundation Models	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
fourier domain	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
fourier transformation	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Frame dropping	OnDeFog: Online Decision Transformer under Frame Dropping
Frequency Domain	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Fuzzy c-means	Player position classification with fuzzy clustering
Fuzzy learning	A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading
Fuzzy logic	Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic
Fuzzy Probabilistic Network	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
fuzzy rough sets	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
G
Game Theory	Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation
Game-changing	Reasoning from Norms to Collective Agency
gated recurrent unit	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction
Gath-Geva clustering	Player position classification with fuzzy clustering
Gaussian Mixture Model	Controlled Cluster Separation for Class Incremental Learning
Gaussian Mixture Model	A Dual mmWave Radar System Using Density-based Sequential Clustering
Gaussian Mixture Model (GMM)	Latent Intention-guided Prediction and Planning with Transformer in Autonomous Driving
Generalization	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Generalized Category Discovery	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
Generalized Few-Shot Node Classification	Generalized Few-Shot Node Classification via Training Set Refinement
Generativate AI	HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Generative Adversarial Networks	Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN
Generative AI	ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Generative dataset distillation	EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
Generative model	GAM: A Generative Autoencoder for Diverse Human Motion Prediction
Generative UX Design	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Genetic algorithm	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems
Genetic Programming	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling
Genetic programming	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals
Geographical Information	RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
Global channel-wise attention	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Global Dependency Modeling	CASD: An Accelerated Sampling Framework for ECG Denoising
Gradient	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Gradient Masking	Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning
Gradient Reweighting	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Grammatical Error Correction	A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction
Granular Ball	MGMRec: Learning Multi-Granularity Representations for Multi-Behavior Recommendation
Graph anomaly detection	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Graph Attention Networks	A Comparative Study of Variational and Vector Encoders in Graph User Matching
Graph Contrastive Learning	Empowering Graph Contrastive Learning with Topological Rationale
Graph Convolutional Neural Network	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
Graph Graph Neural Network	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Graph Neural Network	Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis More Imperceptible Adversarial Attack Method on Graph Neural Networks Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning
Graph neural networks	Beyond Local Balance: A Global Perspective for Signed Network Embedding MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation PGMN: Subgraph Partition-Based Graph Matching Neural Network
Graph Neural Networks	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching RAGCD: Relation-Aware Graph for Cognitive Diagnosis
Graph partition	PGMN: Subgraph Partition-Based Graph Matching Neural Network
Graph Representation Learning	Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching Empowering Graph Contrastive Learning with Topological Rationale
Graph Structure Learning	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Graph-RAG	Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM
GraphRAG	Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Graphs	A Neural Subgraph Counting Method based on Matching Matrix
group velocity dispersion	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Group-based activity selection	Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling
Growing Neural Gas	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
GUI	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Guided Attention	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Gustafson-Kessel clustering	Player position classification with fuzzy clustering
H
Half-Bit Fingerprinting	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Hallucination correction	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Hallucination detection	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Handwritten Chinese Text Line Recognition	HCTLR: A Hybrid CNN-Conformer Framework for Offline Handwritten Chinese Text Line Recognition
Hashing	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
Health AI	Evolutionary Intelligence: From DNA to Deployment
Helmet detection	Enhanced YOLO11-based Real-time Helmet Detection for Construction Safety
Hessian-based feature extraction	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection
Heterogeneous Graph	RAGCD: Relation-Aware Graph for Cognitive Diagnosis
Hierarchical Stackelberg games	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Hierarchical Temporal Memory	SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Hierarchical Thinking	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
High-fidelity Prototypes	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
High-Order Proximity Graph	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Hilbert schmidt Independence Criterion	Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training
Histology	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Homomorphic encryption	NewtonPIR: Communication Efficient Single-Server PIR
Human-AI Collaboration	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Human-centered AI	Affective Resonance to Agency Alignment: Sense of Agency in Human–centered AI
Hypergraph Neural Network	Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights
Hypergraph neural networks	HGTUL: A Hypergraph-based Model For Trajectory User Linking
Hypergraph Transformer	Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights
Hyperparameter optimization	Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model
Hyperparameter Tuning	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection
Hypothesis-driven debugging	VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided
I
Ideological isolation	Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
Image Captioning	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Image Interpolation	HCTLR: A Hybrid CNN-Conformer Framework for Offline Handwritten Chinese Text Line Recognition
Image Matching	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Image Processing	Solving occlusion for complete plant models with accurate 3D metrics
Image Retrieval	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
Image Thresholding	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Imitation Learning	OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
Immersive Analytics	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Imperative	Reasoning from Norms to Collective Agency
Improved Golden Jackal Optimization (IGJO) algorithm CNN-BiLSTM-Attention network	Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model
In-Context Learning (ICL)	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
In-vivo biosensor	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
incomplete Cholesky decomposition	Improving Nystrom Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition
Incremental Multi-View Clustering	Balanced Learning for Incremental Multi-view Clustering
individual mobility prediction	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction
Industrial AI	Industrial-Scale Autonomous eXplainable Iterative Learning
Industrial anomaly detection	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Industrial Tabular Data	Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Inference Acceleration	Morpheus: Accelerating Large Language Models with Feature-Augmented Autoregressive Drafting
Inference-time Reasoning Optimization	Enhancing LLM Abductive Reasoning through MCMC Premise Retrieval
Information Bottleneck	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Infrared small target detection	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection
Instance Segmentation	YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery
Instruction Tuning	Text2Omni: A Text-only Training Strategy for MLLMs
Instruction-fine-tuned LLMs	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Intelligent Agents	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Intent Detection	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
Intermediate Code	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Internet of Things	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
Interpolative matrix decomposition	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Interpretability	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure Watermarking Counterfactual Explanations Extracting Automaton from Video Recognition Model
Interpretability	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
Interpretable Machine Learning	TRUST: Transparent, Robust and Ultra-Sparse Trees
Interpretable Machine Learning	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Interval repetitive scheduling	Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization
Inverse Problem	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Iterative Learning	Industrial-Scale Autonomous eXplainable Iterative Learning
Iterative Learning Control	Meta Learning-enhanced Iterative Learning Control for Tracking
Iterative Truncated Mean	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
J
Jailbreak	Prompt Attacks and Safeguards in Large Language Models: A Survey
Jailbreak	When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation
JIT Learning	TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting
Joint Attention Mask	BAD: Bidirectional Attention-Guided Distillation for Object Detection
Joint Time-Frequency Feature Analysis	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
K
K-Means Clustering	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Keypoint Distribution	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Keyword Spotting	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Knee-point	Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling
Knowledge Distillation	Multiscale Masking Knowledge Distillation for Dense Visual Prediction LLM-Distilled Surrogate Model for Expensive Multi-Objective Optimization BAD: Bidirectional Attention-Guided Distillation for Object Detection SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation
Knowledge Distillation	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Knowledge Graph	Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Knowledge Graph	Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM
knowledge graph completion	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion
Knowledge Graphs	Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs
Knowledge Reasoning	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning
knowledge representation	Belief Change with Full Memory and Trust
Knowledge Tracing	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Knowledge-Augmented LLMs	MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding
L
Label embedding	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Label Propagation	MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation
Label recovery	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Label selection	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Label Smoothing	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning
Language generation	Integrating Sensemaking in a Question-Driven Development Framework for Textual Narrative Reporting Applications
language models	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Large Language Model	HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions Test-Time Recommendation for Safe Medication Combination FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching Interpreting Safety: A LLM and STPA Approach UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing AgentFactory: Towards Automated Agentic System Design and Optimization Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion CDFG:Enhancing Chain-of-Thought Distillation with Feedback Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Large Language Model	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use PRISM: Principled Reasoning for Identifying and Suppressing Model Biases at Scale RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Large Language Model (LLM)	MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding
Large Language Models	Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning Prompt Attacks and Safeguards in Large Language Models: A Survey Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided Leveraging Runtime Information for LLM Quantization FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning MACGEC: An LLM-Driven Multi-Agent Framework for Chinese Grammatical Error Correction An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection Tutorial: Neural Network Design and Large Language Models (NASL2M) CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations
Large Language Models	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting LMSQuant: Learnable Multiscale Post-Training Quantization for LLMs Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM Morpheus: Accelerating Large Language Models with Feature-Augmented Autoregressive Drafting
Large language-vision model	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Large Multimodal Models (LMMs)	Towards Autonomous Building Construction: A Multi-Agent Framework Leveraging Large Multimodal Models
Large Reasoning Model	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Large Vision Language Model	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
large-language models (LLMs)	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Latent Intention	Latent Intention-guided Prediction and Planning with Transformer in Autonomous Driving
Learnable graph data augmentation	Contrastive Graph Clustering with Structure-Aware Enhancement
learning to rank	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Lee Oscillator with Retrograde Signaling	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
lightweight	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Lightweight Transformer	RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery
limited data	A Brain-Inspired Asynchronous Learning Framework for Augmenting Deep Neural Networks with Limited Data
Liquid Neural Networks	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
LLM	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
LLM	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
LLM Agents	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
LLM Edge Deployment	Patching LLMs Efficiently for Edge Devices
LLM fine-tuning	AgentFactory: Towards Automated Agentic System Design and Optimization
LLM Security	Prompt Attacks and Safeguards in Large Language Models: A Survey
LLM-driven simulation	Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
LLMs	Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Load forecasting	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
Local Frequency Representation	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection
Local spatial-wise attention	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
localized learning	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
log parsing	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Long-Horizon Task Planning	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Loss function	Metric learning for multi-image super-resolution
Low-dose Computer Tomography	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Low-fidelity subsets	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
low-rank adaptation (LoRA)	TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
Low-Rank and Sparse Decomposition	Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Low-resource Machine Translation	SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation
Low-resource Māori ASR	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
low-resourced languages	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
M
Machine Learning	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning Industrial-Scale Autonomous eXplainable Iterative Learning Tutorial: Evolutionary Neural Architecture Search: Methods and Theory Tutorial: Adaptive Machine Learning Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Machine Learning	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Machine Translation	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Mamba	Dual-branch Mamba based multi-label Anuran species classification
Many-objective optimization	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Maritime Scene	RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery
Mathematical Optimization	The search for quantum advantage in optimisation: myths, maths, and the travelling salesman problem
Matrix Elastic-Net	Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Medical AI	MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding
Medical image segmentation	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Medical Text Classification	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
Medication Recommendation	Test-Time Recommendation for Safe Medication Combination
Memory Mechanism	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Memory model	Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization
Meta-Learning	Meta Learning-enhanced Iterative Learning Control for Tracking
Metaphor Detection	DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection
Metric learning	Metric learning for multi-image super-resolution
Missing modality	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Mixture-of-Encoders	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
Model Adaptation	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
model checking	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
Model comparison	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Model compression	Evolutionary Weight Pruning: A PSO-Based Approach
Model evaluation	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Model Extraction Attack	Watermarking Counterfactual Explanations
Model performance estimation	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Model quantization	Leveraging Runtime Information for LLM Quantization
Model Reprogramming (MR)	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Model Sourcing	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
molecular docking	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Mongolian Lead-Type Newspaper	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Monocular SLAM	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Multi-Agent	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Multi-Agent Collaboration	VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided MACGEC: An LLM-Driven Multi-Agent Framework for Chinese Grammatical Error Correction
Multi-agent Collaboration	DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging
Multi-Agent Deliberation	MADCAP: A Multi-Agent Deliberative Framework for Robust Assessment of Open-Ended Questions
Multi-Agent Systems	Towards Autonomous Building Construction: A Multi-Agent Framework Leveraging Large Multimodal Models
Multi-Armed Bandits	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection
Multi-behavior Recommendation	MGMRec: Learning Multi-Granularity Representations for Multi-Behavior Recommendation
Multi-dimensional Attention Enhancement	OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
Multi-fidelity surrogate models	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Multi-Granularity	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction
Multi-hop Reasoning	Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching
Multi-image Scenarios	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Multi-image super-resolution	Metric learning for multi-image super-resolution
Multi-label classification	A Consistent Lebesgue Measure for Multi-label Learning Dual-branch Mamba based multi-label Anuran species classification
Multi-label learning	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Multi-magnification	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Multi-modal	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Multi-modal Fusion	MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion
Multi-modal knowledge graph	AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion
Multi-modal Large Language Model	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Multi-modal Multi-objective Optimization	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
Multi-objective Learning	A Consistent Lebesgue Measure for Multi-label Learning
Multi-scale convolution	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Multi-scale feature	A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading
Multi-Scale Patch-Aware	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Multi-scale Reasoning	Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning
Multi-turn Dialogue Summarization	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Multi-View Clustering	Balanced Learning for Incremental Multi-view Clustering
Multi-view learning	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Multilingual corpora	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Multimodal	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Multimodal Fusion	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Multimodal intent detection	Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning
Multimodal Large Language Models	When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation
Multimodal Large Language Models (MLLMs)	Text2Omni: A Text-only Training Strategy for MLLMs
Multimodal Learning	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Multimodal Learning	Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring
Multimodal Named Entity Recognition	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Multimodal Representation	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Multimodal sentiment analysis	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Multimodal Word Grounding	Evaluating Semantic Representations in Multimodal Word Grounding
Multimodel Framework	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Multiple modes	Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling
Multivariate time-series classification	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification
mussel farm	Local Context-Aware Buoyancy Prediction for Mussel Farm Floats
Mutation-Aware	MACT: Mutation-Aware CNN-Transformer for ESG Forecasting
N
Named Entity Recognition	Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring
Natural language generation	CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations
natural language gradients	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Natural Language Processing	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Natural Language Querying	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Network embedding	Beyond Local Balance: A Global Perspective for Signed Network Embedding
Neural architecture search	Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation Automated Design of Neural Networks for River Flow Prediction using Weather Data Tutorial: Evolutionary Neural Architecture Search: Methods and Theory Tutorial: Neural Network Design and Large Language Models (NASL2M)
Neural Architecture Search	Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS
Neural Network	AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion
Neural network compression	Evolutionary Weight Pruning: A PSO-Based Approach
Neural Network Reprogrammability	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Neural Networks	Meta Learning-enhanced Iterative Learning Control for Tracking A Neural Subgraph Counting Method based on Matching Matrix Training strategies for nonlinearity removal from Optical Coherence Tomography signals Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Neurodynamic network	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Next POI recommendation	RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
NLP datasets	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Noise Injection	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Non-bridge Reasoning	Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning
non-interventionist	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Non-stationary Environments	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
nonlinearities	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Novel View Synthesis	SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting
Nuanced Traits	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Nystrom method	Improving Nystrom Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition
O
Object detection	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention BAD: Bidirectional Attention-Guided Distillation for Object Detection ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Object detection	Multiscale Masking Knowledge Distillation for Dense Visual Prediction Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Object-level Alignment	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Objective imbalance	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Obstacle avoidance	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
OEQ Evaluation	MADCAP: A Multi-Agent Deliberative Framework for Robust Assessment of Open-Ended Questions
Oilfield Production Forecasting	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
On-Policy	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Online Continual Learning	Tutorial: Adaptive Machine Learning
Online reinforcement learning	OnDeFog: Online Decision Transformer under Frame Dropping
OpenAI evolution strategies	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling
optical coherence tomography	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
OTA	Patching LLMs Efficiently for Edge Devices
Out-of-Distribution(OOD) Generalization	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
Outlier Handling	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Over-Compliance	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Overfitting	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
P
Parallel BN strategy	PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization
parallel thinking	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Parallel Training	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
parameter efficiency	TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
parameter-efficient fine-tuning	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Parameter-Efficient Fine-Tuning (PEFT)	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
parametric over-coupling	A Brain-Inspired Asynchronous Learning Framework for Augmenting Deep Neural Networks with Limited Data
Pareto optimization	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Pareto Set Learning	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
partial differential equation	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Partial Differential Equations	Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Partial Multi-Label Learning	Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Particle Swarm Optimization	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
Patch Integration	DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging
pattern-based sampling	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
Performance Predictor	BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS
Perplexity Filtering	A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction
person re-identification	DBFormer: Dual Branch Transformer for Visible-infrared Person Re-identification
Persona extractor	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Personality Inducing	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Personalized Learning	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Perturbation constraint	More Imperceptible Adversarial Attack Method on Graph Neural Networks
Phoneme-based	Phoneme-Based Optimization of Enrollment Selection for Speaker Identification
physics-informed neural network	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Player positions	Player position classification with fuzzy clustering
Plug-and-Play Modules	EffiPerception: A Plug-and-Play Efficiency Enhancement Framework for 2D and 3D Perception Models
POI Prediction	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Point Cloud Registration	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Political Actor Detection	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
Polyp Segmentation	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
Pose conditioned generative steganograph	PCGS: Pose Conditioned Generative Steganography
pose estimation	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Position Encoding	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Post-Training Quantization	LMSQuant: Learnable Multiscale Post-Training Quantization for LLMs
PPG	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Pre-processing	Balancing Fairness and Performance Under Multiple Sensitive Attributes
Pre-training Data	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Pre-Trianing Scheme	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Precision Agriculture	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Precision Tracking	Meta Learning-enhanced Iterative Learning Control for Tracking
Prediction and Planning	Latent Intention-guided Prediction and Planning with Transformer in Autonomous Driving
Preference logic	A Logic for Ramsey’s Measurement of Credence
Pretrained model	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Primary Industry	Solving occlusion for complete plant models with accurate 3D metrics
Privileged motion supervision	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection
Probabilistic Prompt Engineering	Enhancing LLM Abductive Reasoning through MCMC Premise Retrieval
Processing-Aware Patching	Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Progressive Training Strategy	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Prompt Engineering	SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Prompt generation	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Prompt Injection	Prompt Attacks and Safeguards in Large Language Models: A Survey FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning
Prompt Learning	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Prompt Tuning (PT)	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Prototype	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Prototype Calibration	Generalized Few-Shot Node Classification via Training Set Refinement
Prototype learning	Federated Dual-Clustered Prototype Learning under Domain Heterogeneity
Prototype Tuning	Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning
Proximal policy optimization	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Proxy Graph Synthesis	Generalized Few-Shot Node Classification via Training Set Refinement
Pseudo-label learning	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Psychiatric diagnosis	Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic
Q
Q-learning	A Study on the Performance of Real-Coded Genetic Algorithms for the Circle Packing Problem Using Q-Learning
Q-matrix enhancement	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Quadratic programming	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Quantum Computing	The search for quantum advantage in optimisation: myths, maths, and the travelling salesman problem
Quantum differentiable architecture search	TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search
Question Answering	HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
R
Radar human detection	A Dual mmWave Radar System Using Density-based Sequential Clustering
Ramsey	A Logic for Ramsey’s Measurement of Credence
Random shortest path	Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization
Randomized linear expansion	PCGS: Pose Conditioned Generative Steganography
Rank-based method	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Ranking-based Learning	BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS
Rasterization	SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting
Reaction time	Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization
Real Coded Genetic Algorithm	A Study on the Performance of Real-Coded Genetic Algorithms for the Circle Packing Problem Using Q-Learning
Real-time application	Enhanced YOLO11-based Real-time Helmet Detection for Construction Safety
Real-Time Feedback	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Real-world environment	A Dual mmWave Radar System Using Density-based Sequential Clustering
Reasoning	CDFG:Enhancing Chain-of-Thought Distillation with Feedback
Recommendation Systems	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Recommender Systems	CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations
Regression Trees	TRUST: Transparent, Robust and Ultra-Sparse Trees
Reinforcement learning	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Reinforcement Learning	PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
Relational Reasoning	Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning
Relative Geometric	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Relaxed Lasso	TRUST: Transparent, Robust and Ultra-Sparse Trees
Remote sensing	Metric learning for multi-image super-resolution Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Repository-Level Code Completion	StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion
Representation learning	Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning
Representation Learning for Point Clouds	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Representation Similarity	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Residual Coordinate Attention	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection
Retrieval Augmentation Generation	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
retrieval augmented generation	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Retrieval-Augmented Generation	HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion
Retrieval-Augmented Generation	RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
Retrieval-augmented Model	Balancing Fairness and Performance Under Multiple Sensitive Attributes
Risk Control Systems	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
River Flow Prediction	Automated Design of Neural Networks for River Flow Prediction using Weather Data
RNA-seq	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Robotic Manipulation	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
Robustness	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Robustness under attack	PCGS: Pose Conditioned Generative Steganography
RT-DETR	RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery
RTMDet	Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing
rule-based screening sampling	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
S
Safety AI	Interpreting Safety: A LLM and STPA Approach
Sample Reweighting	Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Sample space	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Scanning strategy	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Scheduling heuristic	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals
Scientific Discovery	Tutorial: Science in the Fifth Paradigm: A Tutorial on Science Discovery with Artificial Intelligence (S5-TDAI)
Score-based Diffusion Model	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Segment Anything Model (SAM)	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
selection perturbative hyper-heuristic	A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems
Self-assessment	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
Self-attention Mechanism	Towards Effective Event Argument Extraction via Enhanced Contextual Understanding
Self-supervised time-series pre-training	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification
Semantic Consistency	Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring
Semantic Embeddings	Evaluating Semantic Representations in Multimodal Word Grounding
Semantic matching	StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching
semantic segmentation	Multiscale Masking Knowledge Distillation for Dense Visual Prediction
Semantic-image complexity	EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
semi-template method	RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis
Sense of agency	Affective Resonance to Agency Alignment: Sense of Agency in Human–centered AI
Sentiment Analysis	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets
Sequential clustering	A Dual mmWave Radar System Using Density-based Sequential Clustering
Sequential recommendation	TDCRec: Time-varying Demand Causal modeling for Recommendation debiasing
Service Computing	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
SHAP	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
SHAP	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Signal-to-noise ratio	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Signed network	Beyond Local Balance: A Global Perspective for Signed Network Embedding
Sim to real transfer	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Single-server private information retrieval	NewtonPIR: Communication Efficient Single-Server PIR
Single-step Retrosynthesis	RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis
Site effect	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
six hats	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
skill assessment	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
Skin Cancer Image Classification	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators
Small Object Detection	RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery
Smart city	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling
Smart space	A Dual mmWave Radar System Using Density-based Sequential Clustering
Smooth-based PTQ	LMSQuant: Learnable Multiscale Post-Training Quantization for LLMs
SNR Prior	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Social networks	Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
Social norms	Reasoning from Norms to Collective Agency
Socioec-onomic outcomes	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Spaced Repetition	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Sparse View Sinograms	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Sparsity Matching	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
Spatial Reasoning	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
Spatial transcriptomics	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Spatial-Enhanced Edge Attention	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
spatial-temporal	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction
Spatio-Temporal modeling	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
Spatio-temporal trajectory modeling	HGTUL: A Hypergraph-based Model For Trajectory User Linking
Spatiotemporal Dynamic Graph Network	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Spatiotemporally chaotic system	AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction
Speaker identification	Phoneme-Based Optimization of Enrollment Selection for Speaker Identification
spectral clustering	Improving Nystrom Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition
Spectroscopy	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation
Speculative Decoding	Morpheus: Accelerating Large Language Models with Feature-Augmented Autoregressive Drafting
Spiking Neural Networks	TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting
State observers	ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems
State Space Model	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
State Space Models (SSMs)	Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation
State-of-the-Art Performance	An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction
State-Space Models	Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Stochastic Projection	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Stratified sampling	Subset Selection for Stratified Sampling in Online Controlled Experiments
Structure-aware Regularization	BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS
Structure-Saliency Conflict	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Subgraph counting	A Neural Subgraph Counting Method based on Matching Matrix
Subgraph matching	PGMN: Subgraph Partition-Based Graph Matching Neural Network
Subjective probability	A Logic for Ramsey’s Measurement of Credence
Subset selection	Subset Selection for Stratified Sampling in Online Controlled Experiments Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Supervised learning	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Surface electromyography	SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification
Surrogate models	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Survival Prediction	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
SVG	Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring
Sycophantic hallucinations	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Symbolic regression	From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression
Synergistic Multimodal Instruction	InteractiveVideo: Personalize Your Video with Synergistic Multimodal Instructions
Synonym Substitution	Evaluating Semantic Representations in Multimodal Word Grounding
Syntactic component decomposition	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Synthetic Data	LLM-Distilled Surrogate Model for Expensive Multi-Objective Optimization
Synthetic Data Generation	Text2Omni: A Text-only Training Strategy for MLLMs
synthetic sampling limitations	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
System-Theoretic Process Analysis	Interpreting Safety: A LLM and STPA Approach
T
Tabular Anomaly Detection	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Temporal Convolutional Network	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Temporal Convolutional Projection Module	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
Temporal Decomposition	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Temporal demand perturbation	TDCRec: Time-varying Demand Causal modeling for Recommendation debiasing
Temporal dependency modeling	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Temporal Knowledge	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Temporal Knowledge Graph	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning
Temporal Knowledge Graph Reasoning	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Terahertz Imaging	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
Term-Class Probability Embedding	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
Test-Time Adaptation	Test-Time Recommendation for Safe Medication Combination
Text Feedback	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring
Text-to-Workflow	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Theory of Mind	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Thermal Imaging	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
third order dispersion	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Three-level Gated Decay	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Time Series	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
Time Series	SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection
Time series analysis	SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Time Series Forecasting	TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting
Time Series Forecasting	VARMA-Enhanced Transformer for Time Series Forecasting
Time SeriesForecasting	SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Time-aware Attention	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
Time-series analysis	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Tool Learning	PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
Topological Rationale	Empowering Graph Contrastive Learning with Topological Rationale
Total Variation Loss	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Touchdown speed	Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model
Traffic flow forecasting	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
Traffic flow prediction	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
Training-Free Neural Architecture Search	Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation
Trajectory user linking	HGTUL: A Hypergraph-based Model For Trajectory User Linking
Transfer learning	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Transformer	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants Latent Intention-guided Prediction and Planning with Transformer in Autonomous Driving Learning 3D Proposals in Spatio-Temporal Transformer for Multi-Camera Driving Scene Object Detection Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Transformer	VARMA-Enhanced Transformer for Time Series Forecasting
Transformer Networks	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Transformer Optimization	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Transformers	DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection
Travelling Salesman Poblem	The search for quantum advantage in optimisation: myths, maths, and the travelling salesman problem
Tree Crowns	YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery
triangulation	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Triplet	Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning
trust	Belief Change with Full Memory and Trust Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Trustworthy AI	Uncertainty Estimation by Human Perception versus Neural Models Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Tunnel vision	Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
U
UAV	RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery
Ultra-low Bitrate Image Compression	HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Uncertain robotic systems	ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems
uncertainty modeling	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Uncertainty Quantification	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Uncertainty Resolution	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
Uncertainty-Aware Learning	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
Uncertatinty Estimation	Uncertainty Estimation by Human Perception versus Neural Models
Underwater Image Enhancement	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
UNet	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Unified Matrix	Balanced Learning for Incremental Multi-view Clustering
Universal polynomial basis	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
User Interaction	InteractiveVideo: Personalize Your Video with Synergistic Multimodal Instructions
V
Variance reduction	Subset Selection for Stratified Sampling in Online Controlled Experiments
Variational quantum eigensolver	TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search
VARMA	VARMA-Enhanced Transformer for Time Series Forecasting
Vascular robotic system	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Vegetation Evolution	Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies
Verification-guided reasoning	VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided
video anomaly detection	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Video Generation	InteractiveVideo: Personalize Your Video with Synergistic Multimodal Instructions
Video Recognition	Extracting Automaton from Video Recognition Model
Video violence detection	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection
Vignette Evaluation	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Virtual Try-ON	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Viscosity solutions	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Vision encoder transfer	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Vision Mamba	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Vision transformers	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Vision-Language Models (VLMs)	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
VISP	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Visual servoing	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Volatility	VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
W
Wave Equation	Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Wavelet Packet Decomposition	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Wavelet Transform	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN
weak supervision	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Weight pruning	Evolutionary Weight Pruning: A PSO-Based Approach
Whisper	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Wind Power Curves	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
WordNet	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation
Workflow Automation	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Workflow Transformer	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
X
XAI	Industrial-Scale Autonomous eXplainable Iterative Learning
XIL	Industrial-Scale Autonomous eXplainable Iterative Learning
Y
YOLO	YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery Enhanced YOLO11-based Real-time Helmet Detection for Construction Safety
Z
Zero-cost proxy	Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation
Zero-Shot Coordination	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies

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