Tutorial: Neural Network Design and Large Language Models (NASL2M) (abstract)

Tutorial: Science in the Fifth Paradigm: A Tutorial on Science Discovery with Artificial Intelligence (S5-TDAI) (abstract)

Tutorial: Adaptive Machine Learning (abstract)

Tutorial: Evolutionary Neural Architecture Search: Methods and Theory (abstract)

Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation (abstract)

Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI) (abstract)

Evolutionary Intelligence: From DNA to Deployment (abstract)

ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables (abstract)

Extracting Automaton from Video Recognition Model (abstract)

DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging (abstract)

MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion (abstract)

UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection (abstract)

Enhanced YOLO11-based Real-time Helmet Detection for Construction Safety (abstract)

UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding (abstract)

TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models (abstract)

Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions (abstract)

Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction (abstract)

Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation (abstract)

When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation (abstract)

Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection (abstract)

Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification (abstract)

XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation (abstract)

VARMA-Enhanced Transformer for Time Series Forecasting (abstract)

Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning (abstract)

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction (abstract)

AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation (abstract)

An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data (abstract)

AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion (abstract)

PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization (abstract)

VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences (abstract)

AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction (abstract)

RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis (abstract)

NewtonPIR: Communication Efficient Single-Server PIR (abstract)

Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models (abstract)

Weighted Epistemic Logic: Skill Assessment and Rough Set Applications (abstract)

GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation (abstract)

LMSQuant: Learnable Multiscale Post-Training Quantization for LLMs (abstract)

LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing (abstract)

Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning (abstract)

MADCAP: A Multi-Agent Deliberative Framework for Robust Assessment of Open-Ended Questions (abstract)

ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring (abstract)

PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark (abstract)

YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery (abstract)

SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain (abstract)

HCTLR: A Hybrid CNN-Conformer Framework for Offline Handwritten Chinese Text Line Recognition (abstract)

Local Context-Aware Buoyancy Prediction for Mussel Farm Floats (abstract)

SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature (abstract)

Learning 3D Proposals in Spatio-Temporal Transformer for Multi-Camera Driving Scene Object Detection (abstract)

LLM-Distilled Surrogate Model for Expensive Multi-Objective Optimization (abstract)

Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching (abstract)

A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment (abstract)

Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation (abstract)

TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring (abstract)

HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models (abstract)

Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem (abstract)

Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling (abstract)

ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling (abstract)

A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots (abstract)

Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems (abstract)

Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning (abstract)

MACT: Mutation-Aware CNN-Transformer for ESG Forecasting (abstract)

DBFormer: Dual Branch Transformer for Visible-infrared Person Re-identification (abstract)

Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation (abstract)

EDGM: Efficient and Dynamic Generative Model for Dataset Distillation (abstract)

UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation (abstract)

Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction (abstract)

HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection (abstract)

Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models (abstract)

Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images (abstract)

Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics (abstract)

Latent Intention-guided Prediction and Planning with Transformer in Autonomous Driving (abstract)

FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models (abstract)

SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition (abstract)

Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations (abstract)

Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation (abstract)

Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning (abstract)

FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling (abstract)

DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection (abstract)

Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN (abstract)

RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking (abstract)

StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion (abstract)

Training strategies for nonlinearity removal from Optical Coherence Tomography signals (abstract)

SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint (abstract)

A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition (abstract)

Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications (abstract)

Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing (abstract)

Industrial-Scale Autonomous eXplainable Iterative Learning (abstract)

A Logic for Ramsey’s Measurement of Credence (abstract)

GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data (abstract)

Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals (abstract)

Dual-branch Mamba based multi-label Anuran species classification (abstract)

Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization (abstract)

RAGCD: Relation-Aware Graph for Cognitive Diagnosis (abstract)

Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM (abstract)

WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning (abstract)

CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition (abstract)

Contrastive Graph Clustering with Structure-Aware Enhancement (abstract)

IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies (abstract)

Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis (abstract)

LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach (abstract)

OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation (abstract)

Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations (abstract)

Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization (abstract)

Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning (abstract)

An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction (abstract)

Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation (abstract)

ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection (abstract)

Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets (abstract)

Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning (abstract)

Player position classification with fuzzy clustering (abstract)

Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning (abstract)

AutoSAD: An Adaptive Framework for Streaming Anomaly Detection (abstract)

Affective Resonance to Agency Alignment: Sense of Agency in Human–centered AI (abstract)

Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation (abstract)

MACGEC: An LLM-Driven Multi-Agent Framework for Chinese Grammatical Error Correction (abstract)

In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants (abstract)

Patching LLMs Efficiently for Edge Devices (abstract)

PGMN: Subgraph Partition-Based Graph Matching Neural Network (abstract)

CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations (abstract)

Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework (abstract)

CDFG:Enhancing Chain-of-Thought Distillation with Feedback (abstract)

MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering (abstract)

A Study on the Performance of Real-Coded Genetic Algorithms for the Circle Packing Problem Using Q-Learning (abstract)

FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning (abstract)

LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning (abstract)

Leveraging Runtime Information for LLM Quantization (abstract)

Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus (abstract)

TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search (abstract)

Controlled Cluster Separation for Class Incremental Learning (abstract)

A Dual mmWave Radar System Using Density-based Sequential Clustering (abstract)

Evaluating Semantic Representations in Multimodal Word Grounding (abstract)

EffiPerception: A Plug-and-Play Efficiency Enhancement Framework for 2D and 3D Perception Models (abstract)

MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking (abstract)

VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided (abstract)

Development of fault trees from safety reports to model process risk using CorEx-ARM framework (abstract)

A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems (abstract)

The search for quantum advantage in optimisation: myths, maths, and the travelling salesman problem (abstract)

StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching (abstract)

Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC (abstract)

MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression (abstract)

Interpreting Safety: A LLM and STPA Approach (abstract)

Test-Time Recommendation for Safe Medication Combination (abstract)

Watermarking Counterfactual Explanations (abstract)

Enhancing LLM Abductive Reasoning through MCMC Premise Retrieval (abstract)

Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure (abstract)

Text2Omni: A Text-only Training Strategy for MLLMs (abstract)

Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents (abstract)

From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression (abstract)

Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs (abstract)

A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators (abstract)

Prompt Efficient Generation Agent for Skin Lesion Segmentation (abstract)

CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection (abstract)

BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention (abstract)

Multiscale Masking Knowledge Distillation for Dense Visual Prediction (abstract)

UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection (abstract)

QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain (abstract)

CASD: An Accelerated Sampling Framework for ECG Denoising (abstract)

Automated Design of Neural Networks for River Flow Prediction using Weather Data (abstract)

Subset Selection for Stratified Sampling in Online Controlled Experiments (abstract)

A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields (abstract)

Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain (abstract)

D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning (abstract)

A Comparative Study of Variational and Vector Encoders in Graph User Matching (abstract)

Improving Nystrom Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition (abstract)

AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis (abstract)

Enhancing Generalized Category Discovery via Chaotic Sparsity Matching (abstract)

Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models (abstract)

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction (abstract)

CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion (abstract)

Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients (abstract)

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models (abstract)

KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry (abstract)

Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training (abstract)

BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS (abstract)

More Imperceptible Adversarial Attack Method on Graph Neural Networks (abstract)

CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning (abstract)

SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder (abstract)

Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning (abstract)

Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning (abstract)

Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller (abstract)

Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery (abstract)

Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning (abstract)

LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection (abstract)

PCGS: Pose Conditioned Generative Steganography (abstract)

MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals (abstract)

Wind Power Curve Data Cleaning Model Based on LOF-ITSM (abstract)

HGTUL: A Hypergraph-based Model For Trajectory User Linking (abstract)

Training-free Clothing Region of Interest Self-correction for Virtual Try-On (abstract)

A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning (abstract)

Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model (abstract)

BAD: Bidirectional Attention-Guided Distillation for Object Detection (abstract)

Towards Effective Event Argument Extraction via Enhanced Contextual Understanding (abstract)

Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift (abstract)

Solving occlusion for complete plant models with accurate 3D metrics (abstract)

Towards Autonomous Building Construction: A Multi-Agent Framework Leveraging Large Multimodal Models (abstract)

PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking (abstract)

Prompt Attacks and Safeguards in Large Language Models: A Survey (abstract)

Assessing Nuanced Personality Inducing in Language Models via Vignette Tests (abstract)

AgentFactory: Towards Automated Agentic System Design and Optimization (abstract)

SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation (abstract)

InteractiveVideo: Personalize Your Video with Synergistic Multimodal Instructions (abstract)

CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction (abstract)

GAM: A Generative Autoencoder for Diverse Human Motion Prediction (abstract)

Generalized Few-Shot Node Classification via Training Set Refinement (abstract)

A Brain-Inspired Asynchronous Learning Framework for Augmenting Deep Neural Networks with Limited Data (abstract)

Metric learning for multi-image super-resolution (abstract)

Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling (abstract)

FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction (abstract)

Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic (abstract)

Uncertainty Estimation by Human Perception versus Neural Models (abstract)

Belief Change with Full Memory and Trust (abstract)

Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation (abstract)

Evolutionary Weight Pruning: A PSO-Based Approach (abstract)

Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning (abstract)

A Consistent Lebesgue Measure for Multi-label Learning (abstract)

Reasoning from Norms to Collective Agency (abstract)

Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies (abstract)

FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering (abstract)

Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network (abstract)

Empowering Graph Contrastive Learning with Topological Rationale (abstract)

HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates (abstract)

Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction (abstract)

MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation (abstract)

PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use (abstract)

ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting (abstract)

UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing (abstract)

DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging (abstract)

Morpheus: Accelerating Large Language Models with Feature-Augmented Autoregressive Drafting (abstract)

Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data (abstract)

Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights (abstract)

Meta Learning-enhanced Iterative Learning Control for Tracking (abstract)

Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention (abstract)

Phoneme-Based Optimization of Enrollment Selection for Speaker Identification (abstract)

Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution (abstract)

A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading (abstract)

ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems (abstract)

From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation (abstract)

MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics (abstract)

Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms (abstract)

High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank (abstract)

Balanced Learning for Incremental Multi-view Clustering (abstract)

Federated Dual-Clustered Prototype Learning under Domain Heterogeneity (abstract)

TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection (abstract)

Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation (abstract)

SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting (abstract)

TDCRec: Time-varying Demand Causal modeling for Recommendation debiasing (abstract)

SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting (abstract)

TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting (abstract)

MGMRec: Learning Multi-Granularity Representations for Multi-Behavior Recommendation (abstract)

VISP: Volatility Informed Stochastic Projection for Adaptive Regularization (abstract)

Beyond Local Balance: A Global Perspective for Signed Network Embedding (abstract)

CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments (abstract)

Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments (abstract)

A Neural Subgraph Counting Method based on Matching Matrix (abstract)

Partial Multi-Label Feature Selection Based on Matrix Elastic-Net (abstract)

SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification (abstract)

A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation (abstract)

MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network (abstract)

OnDeFog: Online Decision Transformer under Frame Dropping (abstract)

BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification (abstract)

Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning (abstract)

Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning (abstract)

Guided Attention Mechanism in Multi-turn Dialogue Summarization (abstract)

Adaptive Persona Context Modulation for Personalized Emotional Support Conversation (abstract)

Integrating Sensemaking in a Question-Driven Development Framework for Textual Narrative Reporting Applications (abstract)

HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions (abstract)

Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring (abstract)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation (abstract)

MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding (abstract)

Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network (abstract)

BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization (abstract)

TRUST: Transparent, Robust and Ultra-Sparse Trees (abstract)

Balancing Fairness and Performance Under Multiple Sensitive Attributes (abstract)

CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model (abstract)

A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction (abstract)

PRISM: Principled Reasoning for Identifying and Suppressing Model Biases at Scale (abstract)

RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery (abstract)