IJCAI 2025 Accepted Papers
The full list of 1,280 papers accepted at IJCAI 2025 (International Joint Conference on Artificial Intelligence). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
accepted: 1,280
- Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMsaccepted
- Responsibility Anticipation and Attribution in LTLfaccepted
- Responsibility Gap in Collective Decision Makingaccepted
- Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspectiveaccepted
- Rethinking Federated Graph Learning: A Data Condensation Perspectiveaccepted
- Rethinking Graph Contrastive Learning Through Relative Similarity Preservationaccepted
- Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervisionaccepted
- Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspectiveaccepted
- RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesisaccepted
- Revealing Concept Shift in Spatio-Temporal Graphs via State Learningaccepted
- Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Modelsaccepted
- Revisiting Proportional Allocation with Subsidy: Simplification and Improvementsaccepted
- Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learningaccepted
- Reward Models in Deep Reinforcement Learning: A Surveyaccepted
- Rewarding Explainability in Drug Repurposing with Knowledge Graphsaccepted
- Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identificationaccepted
- Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenariosaccepted
- Risk-Aware Task Migration for Multiplex Unmanned Swarm Networks in Adversarial Environmentsaccepted
- RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimationaccepted
- Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learningaccepted
- Robust Finite-Memory Policy Gradients for Hidden-Model POMDPsaccepted
- Robust Graph Contrastive Learning for Incomplete Multi-view Clusteringaccepted
- Robust Misinformation Detection by Visiting Potential Commonsense Conflictaccepted
- RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognitionaccepted
- RobustX: Robust Counterfactual Explanations Made Easyaccepted
- Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Resultsaccepted
- Robustness to Spurious Correlations via Dynamic Knowledge Transferaccepted
- Rolling in Classical Planning with Conditional Effects and Constraintsaccepted
- RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotationsaccepted
- Rotation Invariant Spatial Networks for Single-View Point Cloud Classificationaccepted
- Rule-Guided Reinforcement Learning Policy Evaluation and Improvementaccepted
- Run Like a Neural Network, Explain Like k-Nearest Neighboraccepted
- S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learningaccepted
- SAFE: Structured Argumentation for Fact-checking with Explanationsaccepted
- SAHAY: Multimodal, Privacy-Preserving AI for Suicide Risk Detection and Intervention in Indiaaccepted
- SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillationaccepted
- SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Frameworkaccepted
- SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brainaccepted
- SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selectionaccepted
- SCVBench: A Benchmark with Multi-turn Dialogues for Story-Centric Video Understandingaccepted
- SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusionaccepted
- SE(3)-Equivariant Diffusion Models for 3D Object Analysisaccepted
- SEE: Spherical Embedding Expansion for Improving Deep Metric Learning (Extended Abstract)accepted
- SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelinesaccepted
- SHIELD: A Self-supervised, Silicosis-focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosisaccepted
- SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Methodaccepted
- SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosisaccepted
- SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videosaccepted
- SPARC: An AI-Based Speech Processing and Real-Time Correction Systemaccepted
- SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RLaccepted
- SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generationaccepted
- SSPNet: Leveraging Robust Medication Recommendation with History and Knowledgeaccepted
- SSTrack: Sample-interval Scheduling for Lightweight Visual Object Trackingaccepted
- ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecastingaccepted
- ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Stagingaccepted
- STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputationaccepted
- STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networksaccepted
- Safety of Embodied Navigation: A Surveyaccepted
- Sample-Efficient Behavior Cloning Using General Domain Knowledgeaccepted
- SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agentsaccepted
- Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approachaccepted
- Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract)accepted
- Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterizationaccepted
- Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint)accepted
- Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategyaccepted
- Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Designaccepted
- Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labelsaccepted
- Search Swarm: Multiagent Large Language Models Framework for E-commerce Product Searchaccepted
- SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graphaccepted
- Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenariosaccepted
- Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learningaccepted
- Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learningaccepted
- Self-Classification Enhancement and Correction for Weakly Supervised Object Detectionaccepted
- Self-Consistent Model-based Adaptation for Visual Reinforcement Learningaccepted
- Self-calibration Enhanced Whole Slide Pathology Image Analysisaccepted
- Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependencyaccepted
- Semantic-Guided Diffusion Model for Single-Step Image Super-Resolutionaccepted
- Semantic-Space-Intervened Diffusive Alignment for Visual Classificationaccepted
- Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latencyaccepted
- Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysisaccepted
- SepALM: Audio Language Models Are Error Correctors for Robust Speech Separationaccepted
- SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimationaccepted
- Set-Based Retrograde Analysis: Precomputing the Solution to 28-card Bridge Double Dummy Dealsaccepted
- SetKE: Knowledge Editing for Knowledge Elements Overlapaccepted
- Settling the Complexity of Popularity in Additively Separable and Fractional Hedonic Gamesaccepted
- Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communicationaccepted
- Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editingaccepted
- Shapley Value Computation in Ontology-Mediated Query Answering (Extended Abstract)accepted
- Sharpness-aware Zeroth-order Optimization for Graph Transformersaccepted
- ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Modelsaccepted
- Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solvingaccepted
- Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Modelaccepted
- Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systemsaccepted
- Situational-Constrained Sequential Resources Allocation via Reinforcement Learningaccepted
- Sketch Decompositions for Classical Planning via Deep Reinforcement Learningaccepted
- SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketchesaccepted
- SkyRover: A Modular Simulator for Cross-Domain Pathfindingaccepted
- Smart Contracts for Trustless Sampling of Correlated Equilibriaaccepted
- SmartSpatial: Enhancing 3D Spatial Awareness in Stable Diffusion with a Novel Evaluation Frameworkaccepted
- Smoothed Online Convex Optimization with Delayed Feedbackaccepted
- SocialMP: Learning Social Aware Motion Patterns via Additive Fusion for Pedestrian Trajectory Predictionaccepted
- Soft Reasoning Paths for Knowledge Graph Completionaccepted
- Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipelineaccepted
- Solving MDPs with LTLf+ and PPLTL+ Temporal Objectivesaccepted
- Solving QNP and FOND+ with Generating, Testing and Forbiddingaccepted
- SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphsaccepted
- SpaceDet: A Large-scale Space-based Image Dataset and RSO Detection for Space Situational Awarenessaccepted
- Spatial-Spectral Similarity-Guided Fusion Network for Pansharpeningaccepted
- Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulationaccepted
- Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Predictionaccepted
- SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gapsaccepted
- SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer’s Disease Detectionaccepted
- Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operatoraccepted
- Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillationaccepted
- Squeezing Context into Patches: Towards Memory-Efficient Ultra-High Resolution Semantic Segmentationaccepted
- Stability and Generalization for Stochastic (Compositional) Optimizationsaccepted
- Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpaintingaccepted
- Stackelberg vs. Nash in the Lottery Colonel Blotto Gameaccepted
- StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignmentaccepted
- State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecastingaccepted
- State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulatoraccepted
- Steady-State Strategy Synthesis for Swarms of Autonomous Agentsaccepted
- Stochasticity-aware No-Reference Point Cloud Quality Assessmentaccepted
- Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environmentsaccepted
- Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representationsaccepted
- Strategyproofness and Monotone Allocation of Auction in Social Networksaccepted
- Streaming Multi-agent Pathfindingaccepted
- Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learningaccepted
- Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learningaccepted
- Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillationaccepted
- Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approachaccepted
- Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Managementaccepted
- SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animationaccepted
- SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Featuresaccepted
- SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learningaccepted
- Synthesis of Communication Policies for Multi-Agent Systems Robust to Communication Restrictionsaccepted
- Synthesising Minimum Cost Dynamic Normsaccepted
- Synthesizing Composite Hierarchical Structure from Symbolic Music Corporaaccepted
- T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extractionaccepted
- T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Modelsaccepted
- TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimizationaccepted
- TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecastingaccepted
- TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classificationaccepted
- TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inferenceaccepted
- TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphsaccepted
- TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Promptsaccepted
- TRIKOP: Exploring Visual Prompting Paradigms for Multi-Grade Knee Osteoarthritis Classification on MRI Imagesaccepted
- TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Informationaccepted
- Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillationaccepted
- Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioningaccepted
- Template-based Uncertainty Multimodal Fusion Network for RGBT Trackingaccepted
- Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detectionaccepted
- Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognitionaccepted
- Tensor Network: from the Perspective of AI4Science and Science4AIaccepted
- Tensorial Multi-view Clustering with Deep Anchor Graph Projectionaccepted
- Test-Time Adaptation on Recommender System with Data-Centric Graph Transformationaccepted
- TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusionaccepted
- The Core of Approval-Based Committee Elections with Few Seatsaccepted
- The Delta of Thought: Channeling Rivers of Commonsense Knowledge in the Sea of Metaphorical Interpretationsaccepted
- The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detectionaccepted
- The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learningaccepted
- The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)accepted
- The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimationaccepted
- The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)accepted
- The Proportional Veto Principle for Approval Ballotsaccepted
- The Role of Video Generation in Enhancing Data-Limited Action Understandingaccepted
- Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problemaccepted
- Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimizationaccepted
- Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptationaccepted
- Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithmaccepted
- Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Frameworkaccepted
- TimelyMed: AI-Driven Clinical Course Attribution and Temporal Mapping for Psychiatric Medical Recordsaccepted
- Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Modelsaccepted
- Top-Down Guidance for Learning Object-Centric Representationsaccepted
- Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationshipaccepted
- Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobilityaccepted
- Toward Interpretable Time Series Modeling: A Kernel Representation Perspectiveaccepted
- Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Modelsaccepted
- Toward Robust Non-Transferable Learning: A Survey and Benchmarkaccepted
- Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identificationaccepted
- Towards Automatic Sampling of User Behaviors for Sequential Recommender Systemsaccepted
- Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networksaccepted
- Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Eraaccepted
- Towards Debiased Generalized Category Discoveryaccepted
- Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approachaccepted
- Towards Fairness with Limited Demographics via Disentangled Learningaccepted
- Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variationsaccepted
- Towards Improved Risk Bounds for Transductive Learningaccepted
- Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approachaccepted
- Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understandingaccepted
- Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detectionaccepted
- Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognitionaccepted
- Towards Robust Deterministic and Probabilistic Modeling for Predictive Learningaccepted
- Towards Robust Incremental Learning Under Ambiguous Supervisionaccepted
- Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMsaccepted
- Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detectionaccepted
- Towards a Bipartisan Understanding of Peace and Vicarious Interactionsaccepted
- Towards a Practical Tool for Music Composition: Using Constraint Programming to Model Chord Progressions and Modulationsaccepted
- Towards a Unified View of Social Laws with Instantaneous Actionsaccepted
- Towards the 30 by 30 Kunming-Montreal Global Biodiversity Framework Target: Optimising Graph Connectivity in Constraint-Based Spatial Planningaccepted
- Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMsaccepted
- Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagationaccepted
- Training-free Fourier Phase Diffusion for Style Transferaccepted
- TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectoriesaccepted
- Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samplesaccepted
- Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NASaccepted
- Transformer-based Reinforcement Learning for Net Ordering in Detailed Routingaccepted
- Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Modelaccepted
- TreeKV: Smooth Key-Value Cache Compression with Tree Structuresaccepted
- TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learningaccepted
- Tsururu: A Python-based Time Series Forecasting Strategies Libraryaccepted
- Two-Stage Feature Generation with Transformer and Reinforcement Learningaccepted
- Two-stage Risk Control with Application to Ranked Retrievalaccepted
- UltraModel: A Modeling Paradigm for Industrial Objectsaccepted
- Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restorationaccepted
- Uncertainty-guided Graph Contrastive Learning from a Unified Perspectiveaccepted
- Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Spaceaccepted
- Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenesaccepted
- Understanding PII Leakage in Large Language Models: A Systematic Surveyaccepted
- Understanding Visual Detail Hallucinations of Large Vision-Language Modelsaccepted
- UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Blockaccepted
- Unified Molecule-Text Language Model with Discrete Token Representationaccepted
- Universal Backdoor Defense via Label Consistency in Vertical Federated Learningaccepted
- Universal Graph Self-Contrastive Learningaccepted
- Unleashing the Potential of Transformer Flow for Photorealistic Face Restorationaccepted
- Unleashing the Semantic Adaptability of Controlled Diffusion Model for Image Colorizationaccepted
- Unlocking Dark Vision Potential for Medical Image Segmentationaccepted
- Unlocking the Potential of Lightweight Quantized Models for Deepfake Detectionaccepted
- Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teamingaccepted
- Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Supportaccepted
- Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Predictionaccepted
- Using Planning for Automated Testing of Video Gamesaccepted
- VQCounter: Designing Visual Prompt Queue for Accurate Open-World Countingaccepted
- VRD-IU: Lessons from Visually Rich Document Intelligence and Understandingaccepted
- Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendationaccepted
- Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extractionaccepted
- Variational Offline Multi-agent Skill Discoveryaccepted
- Variety-Seeking Jump Games on Graphsaccepted
- VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Changeaccepted
- Veracity: An Open-Source AI Fact-Checking Systemaccepted
- Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3,8) and R(3,9) Problemsaccepted
- Verifying Quantized Graph Neural Networks is PSPACE-completeaccepted
- VidEvo: Evolving Video Editing through Exhaustive Temporal Modelingaccepted
- VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweeningaccepted
- View-Association-Guided Dynamic Multi-View Classificationaccepted
- VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architectureaccepted
- Viral Marketing and Convergence Properties in Generalised Voter Modelaccepted
- Visual Analytics for Guiding Feature Attribution Method Selectionaccepted
- Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Modelsaccepted
- Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentationaccepted
- WDMIR: Wavelet-Driven Multimodal Intent Recognitionaccepted
- Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigationaccepted
- Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixtureaccepted
- Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentationaccepted
- Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistencyaccepted
- Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Networkaccepted
- Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillationaccepted
- WenyanGPT: A Large Language Model for Classical Chinese Tasksaccepted
- What Can We Learn From MIMO Graph Convolutions?accepted
- What If LLMs Can Smell: A Prototypeaccepted
- What Makes You Special? Contrastive Heuristics Based on Qualified Dominanceaccepted
- What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigmaaccepted
- What is Beneath Misogyny: Misogynous Memes Classification and Explanationaccepted
- Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learningaccepted
- Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantizationaccepted
- Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendationaccepted
- Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learningaccepted
- Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowdsaccepted
- Witnesses for Answer Sets of Basic Logic Programsaccepted
- Words Over Pixels? Rethinking Vision in Multimodal Large Language Modelsaccepted
- Wrapped Partial Label Dimensionality Reduction via Dependence Maximizationaccepted
- X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learningaccepted
- Zero-Shot Machine Unlearning with Proxy Adversarial Data Generationaccepted
- Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centricaccepted
- Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Promptsaccepted
- Zero-shot Quantization: A Comprehensive Surveyaccepted
- fairGNN-WOD: Fair Graph Learning Without Complete Demographicsaccepted
- kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessmentaccepted
- scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Dataaccepted
- Α Descent-based Method on the Duality Gap for Solving Zero-sum Gamesaccepted
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