Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence
Bremen, Germany
15-21 August 2026Edited by Diego Calvanese
Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)
Published by
International Joint Conferences on Artificial Intelligence
Copyright © 2026 International Joint Conferences on Artificial Intelligence
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
IJCAI Secretary-Treasurer: Kristian Kersting, Computer Science Department, Technical University of Darmstadt, Hochschulstraße 10, D-64289 Darmstadt, Germany
IJCAI Executive Director - IJCAI Executive Secretary Ms. Vesna Sabljakovic-Fritz, Vienna University of Technology, Institute of Discrete Mathematics and Geometry, E104 Wiedner Hauptstr. 8-10, A-1040 Vienna, Austria
ISBN (Online): 978-1-956792-09-6
Content
Main Track
Agent-based and Multi-agent Systems
Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions
Beyond the Common Ranking Property: Stable and Efficient Outcomes in Hedonic Games with Top-Coalition Properties
SCOPE: Safety-Constrained Online Preview Enforcement for Efficient Encirclement in Multi-UAV Pursuit-Evasion
Charging Station Placement for Anonymous Mobile Agents: A Parameterized Complexity Perspective
CodeDelegator: Mitigating Context Pollution via Role Separation in Code-as-Action Agents
Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices
Mitigating Collaboration Degeneration in Multi-Agent Code Generation via a Controllable Competitive Collaboration Approach
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks
STAR: Spatio-Temporal Attention Rebalancing for Eco-Friendly Autonomous Mobility-on-Demand Systems
Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria
Stay in Character, Stay Safe: Dual-Cycle Adversarial Self-Evolution for Role-Playing Agents
Guiding Team Objectives with Individual Policies: A Two-Stage Model Aggregation Framework for Partially Cooperative MARL
BIP Revisited: Enabling Efficient Dominance Pruning for Distributed Constraint Optimization
GUI-ReWalk: Massive Data Generation for GUI Agent via Stochastic Exploration and Intent-Aware Reasoning
Probabilistic Verification of Recurrent Neural Networks for Single and Multi-Agent Reinforcement Learning
IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking
Integer Splittable Congestion Games with Capacitated Resources and Player-Specific Costs
Counterfactual Reasoning for Responsibility Attribution in Probabilistic Multi-Agent Systems
From Gridworlds to Warehouses: Adapting Lightweight One-shot Multi-Agent Pathfinding for AGVs
Empirical Evidence and Analysis of a Critical Pitfall in Reward Learning from Human Feedback
AgentRetro: Agent-Enhanced Molecular Spectral Domain Generalization Framework for Retrosynthesis Prediction Under Mixed OOD Shifts
Efficient Algorithms for Influence Maximization in General Models and Observed Cascades
Information and Contract Design for Repeated Interactions Between Agents with Misaligned Incentives
Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference
Centralized and Distributed Approaches for Restoring the Weak Controllability of Multi-Agent Interdependent STNUs
Empowering Precise Embodied Agents with Executable Analytic Concepts as Semantic-Physical Blueprints
QiMeng-VPID: Verification-Grounded Port-Level Iterative Decomposition for Complex Verilog Generation
ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Execution
Focus Like a Human: Efficient GUI Grounding via Coarse-to-Fine Visual Attention and Parallel Verification
DIRECT: Decentralized Intention and Latent Rule Emergence for Multi-Agent Cooperation Under Intermittent Communication
Context-Aware Multi-Agent Coordination: Learning Correlated Equilibria Under Situational Constraints
EVA-Gen: When Perception Learns from Value via Generative Models in Decentralized Multi-Agent Systems
From Traits to Roles: Consensus-Guided Composition of Orthogonal Experts for Cooperative MARL
AI Ethics, Trust, Fairnes
HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Models
Explaining Jailbreaks: Structured and Interpretable Safety Assessment for Large Language Models
Tool Call Dependency Graphs Enable Deep LLM Reasoning Evaluation and Better Explanations
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
FairTCD: Dual-Teacher Temporal Contrastive Distillation for Twofold Fair Dynamic Graph Embedding
BERM: Low-Overhead Prompt-Injection Detection via In-Situ Benign Representation Modeling
Propagating Unsafe Actions in LLM Controlled Multi-Robot Collaboration via Single Robot Compromise
Sparsification Under Siege: Dual-Level Defense Against Poisoning in Communication-Efficient Federated Learning
Latents-Inv:Robust Semantic Watermark via Dual-Path Mutual Information Redundancy for Diffusion Models
Double-Calibration: Towards Reliable LLMs via Calibrating Knowledge and Reasoning Confidence
One-Turn Knockout: Traceable and Editable Proxy Unlearning Under Asymmetric Access Constraints
CE-VFAL: A Novel Framework for Communication-Efficient Vertical Federated Adversarial Learning
VERA: Identifying and Leveraging Visual Evidence Retrieval Heads in Long-Context Understanding
Explaining, Verifying and Aligning Semantic Hierarchies in Vision-Language Model Embeddings
Detoxifying Large Language Models via Localized Feature Editing with Sparse Autoencoders
Breaking the Trade-off: Orthogonal Semantic Decoupling for Generalizable and Fair Deepfake Detection
RIVS: Mitigating Hallucination in Large Vision-Language Models via Representation Intervention on Visual Grounding Shift
BAMFair: Barycenter Aligned Mediation for Fairness Across Multiple Sensitive Attributes
The Sword, Shield, and Achilles’ Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning
Computer Vision
Robust, Generalizable Proactive Face-swapping Defense via Semantic Gradient Divergence
Temporal-Synergistic Policy Optimization for Unsupervised Low-Light Image Enhancement
Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration
Syntactic Structure-Guided Visual Grounding with Subject-Centric Feature Enhancement and Verification
LFS: Learnable Frame Selector for Event-Aware and Temporally Diverse Video Captioning
From Language to Segmentation: Collaborative Category-Guided Unsupervised Camouflaged Object Detection with SAM3
VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning
Bridging the Objective Gap: A Unified Pre-Training Framework for Few-Shot Medical Image Segmentation
MonoPure: Multi-Component Purification via Disentangled, Projective Representations for Monocular 3D Object Detection
VFM-Dynamo: Accurate Non-rigid Motion Identification via Vision Foundation Model for Self-supervised Monocular Depth Estimation
MeteGS：Meteorology-Guided Gaussian Splatting for Scene Rendering and Recovery in Adverse Weather Conditions
BEVFormer++: Temporal Amplified BEVformer with Explicit Parameter Prediction for Automatic Trajectory Prediction
Parameter-Efficient Dual-Loss Adaptation with Logit Divergence: A Unified Approach for Adversarial Example Detection and Robust Inference
CT2BSE: 3D BSE Microstructural Image Cross-Device Generation from µCT for Cement Hydration via Voxel Swin Transformer
MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs
Endo-GSG: Endoscopic Gaussian Splatting with Geometry-Awareness for Dynamic Tissue Reconstruction via Single-View Monocular Knowledge
Bridging the Gap Between Gaussian Splatting and SLAM: A Geometric Gaussian Field-based Gaussian Splatting SLAM System
Fast and Generalizable AI-Generated Image Detection via Model-Agnostic Feature Reconstruction
Benchmarking and Enhancing Relational Diagrams Reasoning for Multimodal Large Language Models
ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting
A3fford-HOI: Anatomy-Aligned Affordance Disentanglement for Fine-grained and Generalizable Hand Object Interaction
4DVarGen: A 4D Variational-Inspired Generative Model for Eddy-Resolving Surface Ocean Reconstruction
MoTRa: Motion-Aware Target Representation Learning for End-to-End Multi-Object Tracking
Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition
ReDi-FM: Frozen Foundation Model for Continual Test-Time Adaptation in Medical Image Segmentation
COAL: Counterfactual and Observation-Enhanced Alignment Learning for Discriminative Referring Multi-Object Tracking
VGA-BenchV2: An Expanded Unified Benchmark and Multi-Model Framework for Evaluating Video Aesthetics and Generation Quality
Towards Generalized Action Recognition on Low-Resolutions with Domain-Invariant Representation
Subject-Agnostic Cross-View Referring Expression Comprehension via Reward-Driven Consistency Learning
MLDA: Test-Time Multi-Level Adaptation with Dynamic Alignment for Compositional Zero-Shot Learning
ViSA-Gait: Leveraging Vision Foundation Models for Semantic Anchored Gait Recognition
PTF-Net: Pseudo-Temporal Feature Fusion Network for Bi-Temporal Semantic Change Detection
MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias
SpeciFuse: Learning Degradation-Type Specificity for Robust Infrared and Visible Image Fusion Under Composite Degradations
Rethinking Multi-Modal Point Cloud Completion: Query-Aware Gating Attention and Gramian Volume Alignment
Learning Well-Structured Logits: Leveraging Vision–Language Complementarity for Open-World Test-Time Adaptation
Understanding and Exploiting Phase Sensitivity for Attacking Large Vision–Language Models
PILO: Principal Component-based Implicit Regularization with Low-rank Optimization for Robust Transfer Learning
Unified Sequence Modeling for Remote Sensing: A Parameter-Efficient Foundation Model via Prompt-Driven Granularity Alignment
Beyond the Clouds: Reliable and Cloud-Aware Spatiotemporal Fusion via Adversarial Regression Wavelets
Learning Heterogeneous Global Local Frequency Dependencies in Diffusion-Based Image Compression
Retrieval-Guided Completion Hashing with Token–Patch Alignment for Incomplete Cross-Modal Retrieval
Diffract and Conquer: Hyperspectral Imaging from Any RGB Camera via Optical Encoding and Learning
FedUP: Uncertainty-Aware Personalized Federated Learning via Probabilistic Prototypes
IWCNet: Intervention-based Weight Calibration Network for Multi-center Multi-modality MRI Lesion Segmentation
ClinAlign: Clinical Workflow Aligned Memory Retrieval for Radiology Report Generation
TaylorMoDe-GS: Taylor-Driven Gaussian Splatting Motion Model for Multi-View Dynamic Scene Deblurring
Transferable Attacks on Open-Vocabulary Video Instance Segmentation via Dual-Objective Triggers
CoDG-Net: Structure-Guided Style Diffusion and Collaborative Learning to Mitigate Catastrophic Forgetting in Medical Image Domain Generalization
TriCLIP: Tri-stage Calibration of Prompts, Evidence and Fusion for Robust Biomedical Vision–Language Models
Manifold-Aware Point Cloud Completion via Geodesic-Attentive Hierarchical Feature Learning
GRASP: Enhancing Zero-Shot Multi-Modal Anomaly Detection via Geometric Refinement and Semantic Prompting
IdentityMask: A Robust Face-Centric Privacy Protection Against Unauthorized Personalization of Diffusion Models
Computer Vision
Communication-Efficient Federated Video Human Activity Recognition via Discriminative Subspace Discovery
Object-Centric Alignment and Anchor Distillation for Weakly Supervised Referring Expression Comprehension
SpecBridge: Spectral Structure Alignment and Transitive Bridging for 3D–2D–Text Pre-Training
BAG-Net: Bidirectional Receptive-Field Graph Network for Two-View Correspondence Pruning
Listen and Count: Expanding the Frontier of Zero-shot Object Counting to Sound-centric Counting
Riemannian Graph Convolutional Network for Skeleton-Based Two-Person Interaction Recognition
HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering
DyG-Seg: Unsupervised 3D Point Cloud Segmentation via Geometric Manifold Rectification
PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning
Continual Unsupervised Domain Adaptation for Cardiac Image Segmentation with Style-Adapting Generative Replay and Prototype Consolidation
DSSG: Dual-Stream Semantic Guidance for Source-Fully-Free Adaptation of Vision-Language Models
IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterials
Shot-Conditioned Vision-Language Adaptation for Effective Harmful Content Detection from Online Short Videos
A Structural-Analysis-Based Information Fusion for Multi-Modal Cross-View Geo-Localization
Less Is More: Proportional Memory-Guided Differential-Attention MIL for Whole-Slide Image Classification
A Local-Rotation-Driven Global Consistency Framework with Dual-View Decoding for Semi-Supervised Medical Image Segmentation
Learning with Semantic Priors: Stabilizing Point-Supervised Infrared Small Target Detection via Hierarchical Knowledge Distillation
Distribution-Aware Energy Minimization: Physical-Inspired Efficient Active Learning and Quantum Potentials
AC2-VLA: Action-Context-Aware Adaptive Computation in Vision-Language-Action Models for Efficient Robotic Manipulation
Trajectory-Consistent Denoising Diffusion Codebook Models for Zero-Shot High-Fidelity Image Compression at Ultra-Low Bitrates
Uni-RS: A Spatially Faithful Unified Understanding and Generation Model for Remote Sensing
GenID: A Generalizable Physical-Layer Device Identification Method for Out-of-Distribution Environments
SPACE: Structure-Preserving Cross-Modal Image Enhancement for Extreme Low-Light Conditions
D2MDM2: A Brain-Inspired Deep Network Based on DDM Decision-Making Mechanism for Remote Sensing Change Detection
A₃B₂: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning
Absorbing Gradient Conflicts: Modeling Semantic Variance via Kent Distributions for Cross-Modal Hashing
Raise One and Infer Three: Toward Reasoning- and Memory-Augmented Diffusion Policy Generalization
Constraint Satisfaction and Optimization
PID-Controlled Constrained RL for Hub-based Joint Pricing, Dispatching, and Routing with Service Guarantees
ULE-MWC: An UnLocking-Enhanced Lookahead Framework for Exact Maximum Weight Clique Search
Efficient Parallel Algorithms with Linear Queries for Non-Monotone Submodular Maximization
Beyond Hard Writes and Rigid Preservation: Soft Recursive Least-Squares for Lifelong LLM Editing
StructureBench: A Unified Benchmark Suite for Multi-Scenario Structured Generation Tasks with On-Device Models
Data Mining
Constraint-Data-Value-Maximization: Utilizing Data Attribution for Effective Data Pruning in Low-Data Environments
From Diversity to Uniformity: Cross-modal Time Series Modeling with Dependent Channel Grouping
Bridging the Semantic Gap: Leveraging LLMs for Hierarchical Interest Evolution in Sequential Recommendation
H²SCAN: Adaptive Time Series Representation Learning via Heterogeneous Hypergraph Structure-aware Contrasts
Falsdo: Benchmarking Artifact-Controlled Multimodal Fake News Verification via Failure-Aligned Auditing
AnoMamba: Aligning Reconstruction with Time Series Anomaly Detection via Selective Global Dependency Modeling
AdaGeM: Adaptive Geometric Learning on Manifolds for Hyper-Relational Knowledge Graphs
An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection
Bridging Feature-structural Homophily and Long-range Heterogeneity for Self-supervised Heterogeneous Graph Learning
HGOOD: Hypergraph-enhanced Graph Contrastive Learning for Graph Out-of-Distribution Detection
Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts
Dual-Adversarial Dynamic Variational Asset Pricing with Adaptive Spatio-Temporal Feature Clustering for Portfolio Recommendation
MGRec: Structure-Grounded Medication Recommendation via Condition-Aware Molecular Representation Learning
Can Edge Addition Be Safe and Effective? Adjacency-Centered Augmentation via Langevin and SDE Diffusion for Self-Supervised Graph Anomaly Detection
TrajAR: Long-Term Trajectory Prediction at Urban Intersections via Multi-scale Interaction Perception
Towards Efficient and Effective Unimodal Trajectory Representation Learning: A Simple Yet Powerful Approach
HyperXRec: Unifying Preference Clusters and LLM Experts for Robust Explainable Recommendations
Tracking Topological Shifts: How Can Dynamic Graph Invariant Learning Enable Reliable Out-of-Time Spatio-Temporal Prediction?
MiniST: Unlocking Input Window Length in Traffic Flow Forecasting with Compact Parameters
HiCD: Hyperbolic Insight Through Decomposed Educational Graphs for Long-Tailed Cognitive Diagnosis
DELTA: Disentangled Hierarchical Interaction and Adaptive Adjustment for Emotion and Intent Understanding in Multimodal Conversations
History Doesn’t Repeat, but Its Patterns Echo: A Parallel Pairwise Negative-Sampling Framework for Temporal Link Prediction
Learnable Data Augmentation and Contrastive Pre-training for Temporal Link Prediction
NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts
CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
Beyond Homophily: Spectrum-Based Graph Pre-Training and Cluster-Augmented Prompt Tuning
Coarse-to-Fine Latent Guidance: A Multi-Scale Diffusion Transformer for Traffic Flow Forecasting
Efficient and Exact Global Attention on Latent Summaries for Knowledge Graph Reasoning
Property Enhanced Instruction Tuning for Multi-Task Molecule Generation with Large Language Models
FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification
Learning Hyperspherical Time–Frequency Representations for Time-Series Out-of-Distribution Detection
Unsupervised Anomaly Detection in Dynamic Graphs via Compatibility Modeling and Boundary Learning
JointScaler: A Hierarchical Multi-Indicator Distribution Forecasting Approach for Uncertainty-Aware Joint Scaling in Cloud Services
LISA: Language-guided Interference-aware Spatial-Frequency Attention for Driver Gaze Estimation
CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection
A Unified Spectral-Spatial Framework for GNNs: Balancing Over-Smoothing and Over-Squashing
WBMCF: Robust Spatiotemporal Forecasting of Terrorism Fatalities with Multi-Scale Time–Frequency Fusion
Relation-Aware Graph Learning with Mixture-of-Experts Prediction for Cognitive Diagnosis
STCBN-EC: A Spatio-Temporal Constrained Bayesian Causal Network for Multimodal Brain Effective Connectivity Learning
ADC-GNN: Adaptive Dual-level Collaborative Graph Neural Networks for Graph Classification
From Values to Tokens: An LLM-Driven Framework for Context-Aware Time Series Forecasting via Symbolic Discretization
Joint Multi-Modal Multi-Interest Profiling and Preference-Grounded Reasoning for Explainable Recommendation
From Neural Collapse to Label-Limited Evolving Streams: Geometry-Constrained Learning Under Dynamic Class Imbalance
Geometry-Aware Riemannian Residual Displacement for Cross-Broad-Domain Graph Anomaly Detection
When Evidence Falls Short: Router-Guided Fake News Detection with Pattern Augmentation
LEMD: Latent Environment Extrapolation and Message Disentanglement for Dynamic Graph Under Distribution Shift
scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering
Band Together: Untargeted Adversarial Training with Multimodal Coordination Against Evasion-Based Promotion Attacks
Three Minds, One Student: Online Multi-Teacher Knowledge Distillation for Multimodal Recommenders
Snap2Review: Vision-Grounded Retrieval and Pairwise Preference Alignment for Personalized Reviews Generation
scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing
A Unified Prompt for Enhancing Heterogeneous Graph Pre-training via Edge-based Message Passing
DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning
CASE-Net: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification
Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learning
BotVA: Combating Social Bots via Variational Feature Augmentation and Adversarial Graph Learning
G-VTM: A Multimodal Vision-Trajectory Model for Generalized Vehicle Trajectory Prediction
DynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modeling
FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-Level Anomaly Detection
Detection-Explanation-Improvement: A Closed-Loop Framework of Enhancing Anomaly Detection with Counterfactual Explanations
ASTPKEFormer: Adaptive Spatiotemporal Prior Knowledge Embedding-Induced Transformers for Traffic Data Forecasting
GMM-TDQN:Two-Stage Multi-Objective Reinforcement Learning for Large-Scale Edge Server Deployment
Game Theory and Economic Paradigms
Computing Better Approximate Pure Nash Equilibria in Payoff-maximization Potential Games
Beyond Homogeneous Adversaries: Stackelberg Security Games with Mixed Quantal Response
Humans and AI
Boosting Knowledge Transfer and Retention with Brain-inspired Multi-View Incremental Learning
Cross-Modal Dynamic Hypergraph Computation via Functional-Structural Brain Network for Brain Disorder Diagnosis
HFFN-ID: A Hierarchical Feature Fusion Network with Bi-Phase Subject ID Modulation for EEG Mel-Spectrogram Reconstruction
Learning to Harvest: VR-Guided Expert Behaviour Capture for Decision Modelling in Agricultural Robots
Generalizing Bayesian Human-AI Collaboration: Theory and Application in Data-Scarce Environments
Dual-Process Distribution Calibration: Bridging Slow-Fast Thinking for Few-Shot Learning
MFMSRNet: An Interpretable Multi-frequency and Multi-scale Riemannian Network for Motor Imagery Decoding
Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks
From Discrete to Continuous: Progressive Hybrid-Distributional Learning for Gradual Emotion Transitions
An Emotion-Preserving Conditional Information Bottleneck for Domain-Generalizable Speech Emotion Recognition
EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding
Knowledge Representation and Reasoning
Efficient Minimization of Decision-DNNF Circuits via Semantic Hashing and Provenance Tracking
StressEval: Failure-Driven Dynamic Benchmarking for Knowledge-Intensive Reasoning in Large Language Models
When Incompleteness Does Not Matter: The Case of Incomplete Abstract Argumentation Framework (Under the Possible Perspective)
PAAL: Pattern-Anchor Alignment for Continual Knowledge Graph Embedding Under Structural Distribution Shift
Will My Favorite Chases Terminate If Evaluating Conjunctive Queries Does? One Does Not Simply Decide This
Harmonizing Federated Heterogeneous Optimization via Adaptive Objective Rectification
A Versatile Framework for Formula-Based Enforcement and Synthesis in Abstract Argumentation
Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation
Information-Needs-Guided Virtual Knowledge Graph Enrichment via Large Language Models
Machine Learning
Semifactual Explanations for GNN-based Classification: Formal Foundations, Complexity and Computation
Addressing Downward Memory Loss in Hierarchical GNN Forecasters Through Memory-Buffered Decoding
Beyond Implicit Constraint: Explicit Low-Rank Structured Subspace Learning for Fast Attributed Graph Clustering
Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting
Bridge: A Cross-Modal Learning Framework for Unified Semantic Representation in Noisy Communication
UNOP: Physics-Constrained Unsupervised Neural Operator for Long-Horizon PDE Learning on Generalized Geometries
BEAT2AASIST: BEATs Feature Splitting with Dual-Branch AASIST for Environmental Sound Deepfake Detection
Label Confidence Recovery with High-order Label Correlation in Partial Multi-label Learning
Budget-Aware LLM Quantization and Low-Rank Correction via Information-Guided Subspace Matrices
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem
FedAMB: Adaptive Modality Balancing for Dominance-Robust Multimodal Federated Distillation
AMR-LLM: Knowledge-Enhanced Multi-Modal Automatic Modulation Recognition via Large Language Models
GeneCaDiff: Hierarchical Tissue Image Synthesis from Gene Expression via Multi-Stage Cascaded Diffusion Model
DAHGT-CCI: Dynamic Heterogeneous Graph Transformer for Spatial Transcriptomics Cell-Cell Interaction Inference
Content-style Disentanglement Guided Representation Learning for Deep Incomplete Multi-view Clustering
Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
Environment-Aware Multiscale Geometric Interaction for Equivariant Molecular Spectral Prediction
M-LoRA: Efficient Serving for Concurrent LoRA Adapters with Memory-Aware Speculative Scheduler on Single GPU
Beyond Uniform Updates: Drift Pattern Aware Online Time Series Forecasting Under Delayed Feedback
ConDyGNet: Constraint-Guided Dynamic Graph Networks for Multivariate Time Series Forecasting
D2ACE: Multi-Label Batch Selection Guided by Dual Dynamics and Adaptive Correlation Enhancement
Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selection
GRASP: Hard-Label Black-Box Malware Evasion with Higher Success, Fewer Queries, and Smaller Perturbations
Adversarial Optimization Scheme for Threat Detection Based on Hierarchical Oracle Supervision
TabKD: Tabular Knowledge Distillation Through Interaction Diversity of Learned Feature Bins
Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dimension
ProCURE: Addressing the Programming Concept Understanding Gap for Code Generation in LLMs via Concept-Aware Consistency Learning
Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas?
SDFLoRA: Selective Decoupled Federated LoRA for Privacy-preserving Fine-tuning with Heterogeneous Clients
URFPert: Unrolled Regulatory Flow Networks for Out-of-Distribution Single-Cell Perturbation Prediction
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data
Label Distribution Imputation and Bias-Corrective Representation Learning for Incomplete and Imbalanced Label Distribution
Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes
Machine Learning
Bridging Inter-View and Client Heterogeneity: Federated Multi-View Clustering Under Non-IID Data
Beyond Client Clustering: Fine-Grained Preference Alignment in Federated RLHF via Self-Evolving Routing
QiMeng-EvoPartition: Rethinking the Impact of Partitioning for Automated Pipeline Design
MarCon: Max-Margin Contrastive Learning for Imbalanced Domain Adaptation Semantic Segmentation
Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization
Perturbation Matters in Time Series Forecasting: A Wave-attention-aware Transformer Method
Progressive Subexpression Reuse in Symbolic Regression: Insights from RL-based Search and a Genetic Programming Realization
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
LECDPR:LLM Enhancement and Concept-Document Interactive Modeling for Prerequisite Relation Prediction
SplitScaling: Adaptive Scaling for Disaggregated LLM Serving Against Traffic Bursts via DRL
VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation
Active Diffusion-Based Inference for Ill-Posed Inverse Problems Under Incomplete Priors
Beyond Sequences: A Dynamic Hierarchical Heterogeneous Spatio-Temporal Graph for Irregular Multivariate Time Series Forecasting
PA-GMAE: A Position-Assigned Graph Masked Autoencoder for Point Cloud Representation Learning
ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
PhyRE-Net: A Physics-Anchored Network with Active Spatial Gating for Industrial Infrared Thermal Forecasting
Toward a More Discriminative Learnware Paradigm via Explicitly Distinctive Specification
Info-Driven Zero-Cost Proxy: Rethinking Vision Transformer Architecture Evaluation via Information Quantification
Active Arbitration: Decoupling Spatio-Temporal Duality for Efficient Traffic Forecasting
From Compression to Construction: Pseudo Neighbor Augmentation Sampling for Dynamic Link Prediction
GBD-DRP: Generalizable Bias-Disentangled Learning for Drug Response Prediction with Missing Modalities
MOBO: A Merging-Oriented Bi-Level Optimization Framework for Class Incremental Learning
FedFINFO: A General Full-Informativeness Federated Graph Learning from Open Cross-Domain Data
Spot-Adaptive Structural Rectification for Spatially Resolved Transcriptomics Data Clustering
Uncertainty-Guided Adaptive Local Adversarial Perturbation for Reliable Molecular Property Prediction
Beyond the Mean: Gaussian Distributional Successor Features for Zero-Shot Non-Linear Reward Adaptation
Disentangling Coarse and Fine Latent Dynamics for Probabilistic Time Series Forecasting
GBFlow: Grouping Belief-Guided Dual Normalizing Flows for Accurate Spatial Domain Delineation
Progressive Adversarial Multi-View Alignment for Unsupervised Embedded Feature Selection with Linear Complexity
Multidisciplinary Topics and Applications
LogicFusion: Differentiable Logical Rule Learning for Cancer Driver Gene Identification
UniPocket: Physics-Aware Geometric Graph Learning with Manifold Completeness for Ligand-Specific Binding Site Prediction
SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning
Music Atelier: Exploring the Knowing–Doing Gap in LLM Creativity via Symbolic Music Composition
BEACON: Budget-Efficient Discovery of Policy Violations in Large Language Models via Cognitive-Guided Monte Carlo Tree Search
MP2D: Constrained Monte Carlo Tree-Guided Diffusion for Multi-Objective Protein Sequence Design
MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios
FedCARE: Federated Unlearning with Conflict-Aware Projection and Relearning-Resistant Recovery
GDAs-OT: A Prediction Method of Gene-Disease Associations Based on Optimal Transport for Identifying Genes Related to Immune-Related Adverse Events
Tab-semiSL: Tabular Data-Driven Semi-Supervised Learning to Identify Factors Associated with Immune-Related Adverse Events
Predicting Context-Aware Transcriptional Responses to Unseen Genetic Perturbation Subject to Interactome Distance Constraints
CasUGC: Aligning User-Generated Comment Evolution with Cascade Dynamics for Popularity Prediction
MultiGeo: Predicting Drug-Target Affinity via Adaptive Multi-Conformation Ensemble Learning
FossilWriter: Learning Hypergraph World Models with Latent Narratives for Creative Story Generation
Natural Language Processing
EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization
AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive Programming
NPRIP: Nucleus-to-Periphery Retrieval-Iterative Prompting for Improved Abstractive Summarization in Low-Resource Mongolian
TCDA: Thread-Constrained Discourse-Aware Modeling for Conversational Sentiment Quadruple Analysis
Simulated Ignorance Fails: A Systematic Study of LLM Behaviors on Forecasting Problems Before Model Knowledge Cutoff
DeTri: Debiasing General-Purpose LLMs for Zero-Shot Relation Triplet Extraction via Structural Expert
Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech
FunCineForge: A Unified Dataset Pipeline and Model for Zero-Shot Movie Dubbing in Diverse Cinematic Scenes
Causal Path Alignment: Anchoring the Optimization Trajectory for Controllable In-Parameter Knowledge Editing
MA-RWG: A Multi-Agent Framework for Thematically Structuring and Generation of Related Work
DoMoE: Domain-Aware Semantic Expert Prediction for Efficient MoE Inference Under Expert Offloading
BehaviorBench: A Psychologically Grounded Benchmark for Evaluating Personality in Large Language Models Through Realistic Behaviors
Semantic Similarity Is Not Legal Correctness: Evaluating RAG Systems in Brazilian Civil Procedure
Mitigating Entity Type Confusion in Cross-Domain NER via Multidimensional Quantification and Reasoning Enhancement
PDAR-RSITR: A Progressive Decoupling-Aggregation-Refinement Framework for Remote Sensing Image-Text Retrieval
Improving Code Translation with Syntax-Guided and Semantic-aware Preference Optimization
MathCritique: Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision
Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection
ChemKGL: Bridging Knowledge Graphs and Large Language Models for Chemical Multi-Step Reaction Pathway Inference
SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Tagging
Debate with Myself: Zero-Shot Event Causality Identification with Adversarial Evidence Integration via Large Language Models
ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinement
PersuHMM: Iterative Learning the Hierarchical Meta-Strategy Memory for Persuasive Dialogue
Planning and Scheduling
Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling
Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
Are White Knights Worth the Trouble? Reconciling POCL and Partial-Order Plans for Plan Optimization
A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems
Robotics
Obstacle Avoidance and Trajectory Tracking of Redundant Manipulators with Unknown Physical Parameters Under Multiple Constraints
Walking on Ice: Adaptive Gait Control of Humanoid Robots Based on Visual Prediction and Proprioceptive Estimation for Variable Friction Environments
S²-VLA: State-Space Guided Vision-Language-Action Models for Long-Horizon Manipulation
AHead-VLN: A Hierarchical Reasoning Framework Guided by Foresight for Human-Aware Navigation
Search
One for Exploration and Another for Exploitation: A Dual-Population MOEA Framework with Provable Benefits
First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variables
On the Impact of Crossover in Many-Objective Optimization: A Runtime Analysis of NSGA-III
Theoretical Analysis of Multi-Objective Evolutionary Algorithms on Integer Spaces with Local Optima
Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling
Uncertainty in AI
Causal Newton Optimization: Online Calibration with Iterative Local Linear Modeling and Newton Updates
AI4Tech: AI Enabling Technologies
Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering Design
A Durable Machine Unlearning Framework to Nullify Recall of Sensitive Data on Incremental Training
MORL-CA: Dynamic Multi-Objective Reinforcement Learning for Chlor-Alkali Process Optimization Under Time-Varying Conditions
DEPLOY-RL: Active Boundary Discovery and Conservative Certification for Deployable Reinforcement Learning in Safety-Critical Continuous Processes
HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens
ACCFormer: Predicting Analog Circuit Performance Metrics via Topology-Aware Transformers
Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents
GraphPerf-RT: Graph-Driven Performance Modeling with Calibrated Uncertainty for OpenMP Scheduling on Heterogeneous Embedded SoCs
BrainCGT: A Brain Graph Transformer for Modeling Causal Connectivity in Neurological Disorder Diagnosis
PENTESTLLMAGENT: A Task Dependency Graph Planning-Based Multi-Agent Framework for Automated Penetration Testing
Leveraging Implicit Contexts via LLM–Graph Fusion for Temporal Knowledge Graph Reasoning
MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models
Safe and Efficient Control: A Subgraph-Augmented Hierarchical Reinforcement Learning Framework for Dynamically Reconfigurable Battery Systems
Bridging the Data Scarcity in Venous Thromboembolism Detection: A Deep Learning Framework for Large-scale Irregular Clinical Time Series
Spherical Physics-Informed Neural Operator with Multi-Scale Coupling for Meteorological Downscaling
AI and Health
TvaraNet: A Lightweight Mamba Neural Network for Real-Time Medical Image Segmentation
Two-Fold Patch Perturbation for Efficient Self-Supervised Learning in 3D Medical Imaging
When Pulling Fails: Understanding and Alleviating SDF Collapse in Sparse Freehand Ultrasound Reconstruction
Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening
MTP-DDA: Enhanced Drug-Disease Associations Prediction via Multi-task Learning with Multi-view Graph Convolutional Networks and Contrastive Learning
Multiscale-adaptive and Size-adaptive PSO-based Feature Selection for Gene Expression Analysis
VGDM: Visual Localization-Guided 3D Dental Segmentation via Extrinsic–Intrinsic Bridging
MedFiTRG: Jointly Learning Dynamic Temporal and Cross-Patient Graphs for Clinical Outcome Prediction
One-Shot Federated Class-Incremental Learning for Medical Imaging via Variational Feature Transfer
GeoSFLoRA: Geometry-Conditioned Spectral Flow Low-Rank Adaptation for 2D-to-3D Transfer in Medical Image Segmentation
X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models
CDMIQA: A Cross-Domain Perceptual Method and Benchmark Dataset for Medical Image Quality Assessment
LLM-Guided Monte Carlo Tree Search over Knowledge Graphs: Composing Mechanistic Explanations for Drug–Disease Pairs
BioDisco: Multi-Agent Hypothesis Generation with Dual-Mode Evidence, Iterative Feedback and Temporal Evaluation
LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis
STAR-Net: Physics Inspired Spectral Topology Aware Reconstruction Network for Single-View Fluorescence Molecular Tomography
Uncertainty-Guided Adaptive Conservative Offline Reinforcement Learning for Safer Mechanical Ventilation
When Vision-Language Models Meet Fetal Cardiac Ultrasound: Dual-Level Contrastive Learning for Out-of-Distribution Detection
sc2Flow: Mitigating Mean Prediction Bias in Single-Cell Perturbation with Dual-Stage Flow Matching
TangentFuse: Low-Latency MEG Speech Activity Detection via Riemannian Covariance - CNN Fusion
Structure-Aware Contrastive Learning for Biomedical Embeddings: Bridging the Gap Between HPO and Clinical Literature
Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models
Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences
QA-MoE: Quality-Aware and Stable Multimodal Mixture-of-Experts for Robust Clinical Prediction in Noisy and Missing-Modal Settings
Singly-Connected Multiple Minimal Networks for Efficient Temporal Reasoning About Multiple Clinical Guideline Instantiations
SAM-GPT: Hilbert Curve Enhanced Mamba for Brain Lesion Segmentation and VLM-based Analysis
Dual-Channel Semantic-Enhanced Combinatorial Medication Recommendation via Knowledge Distillation
DIAM: Adaptive Drug Repositioning with Decoupled Biological Mechanism and Instance-Aware Modulation
OrthKD: Extracting Generalized Clinical Knowledge from Heterogeneous Teachers for Lightweight Deployment
FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints
GroupMIL: Semantic Group Based Multiple Instance Learning for Whole Slide Image Analysing
HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction
D²G-TO: Task-aware and OOD-guided Discrete Graph Diffusion for Robust CNS Drug Discovery
AI and Social Good
ICFD-31k: A Large-Scale Dataset and Benchmark for Real-Time Conversational Fraud Detection
Integrating Atmospheric Dispersion Modeling Priors into Cuboid Splatting for Spatiotemporal Reconstruction of Airborne Radioiodine After Nuclear Accidents
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
PoemDirector: A Multi-Agent Context-Adaptive Instructional Mode Selection Framework for Chinese Classical Poetry Video Generation
Bridging the SEA Gap: An Initial Benchmark for Neural Audio Codec-Synthesized Speech Deepfakes in South-East Asian Languages
PROB-EMOE: A Probabilistic Ensemble Mixture-of-Experts Framework for Metro Network Expansion Forecasting
CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction
SMaRT: Online Reusable Resource Assignment and an Application to Mediation in the Kenyan Judiciary
PhyTTA: Physics-Informed Test-Time Adaptation of Foundation Models for Regional Drought Prediction
HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
FACET: Multi-Agent AI Supporting Teachers in Scaling Differentiated Learning for Diverse Students
Scalable Mapping of Tree Traits to Study the Dynamics of Protected Forest Areas in India
ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages
Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imagery
Deep Reinforcement Learning Enhanced Semi-supervised Graph Neural Network for Credit Card Fraud Detection
Towards an Early Warning System for Ocean Heat Extremes Through AI-Ocean Dynamics Synergy
Policy-Embedded Graph Expansion: Networked HIV Testing with Diffusion-Driven Network Samples
Addressing Overcommitment in the Reasoning of Gendered Economic Memes Under Multimodal Ambiguity
Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents
Improving Scientific Formula Verbalization in Large Speech Language Models for Accessible Learning
LLM-Enhanced Knowledge and Learning Path Understanding for Graph-based Educational Recommendation
When Can We Trust Fairness Audits? Identifying Reliability Boundaries of Third-party Audit Conclusions
Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
AG-STELLA: Spatio-Temporal Learning for Water-related Agricultural Land Use Activity Mapping with AlphaEarth
Improving Survey Participation in Low-Literacy Populations Through Value-Sensitive Conversational AI
Clinically-Oriented Screening Model for Diabetic Retinopathy Severity Grading and Diabetic Macular Edema Detection
Optimizing Sensor Placement with Greedy Algorithms: A Case Study in Wildlife Camera Trapping for Spatial Capture-Recapture Population Estimation
Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations
STAMP: Multi-Pattern Attention-Aware Multiple Instance Learning for STAS Diagnosis in Multi-Center Histopathology Images
A Gloss-driven Indian Sign Language Production System Using Learned Pose Representations
Brazilian Indigenous Languages Revitalization at Scale: Reducing Cost and Development Time for Low-Resource Language Courses
A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
Domain-Informed Graph Neural Networks for Climate Factor Forecasting to Support Sustainable Crop Management
Democratizing Ski Safety: Real-Time Turn Segmentation with Smartphone IMU and Causal LSTM Networks
NeuroDALEC: A Differentiable and Interpretable Mass-Conserving Framework for Terrestrial Ecosystem Carbon Cycle Dynamics
PhysTrans: A Physics-Aware Transferable Framework for Global Cold-Start Photovoltaic Forecasting
Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answering
Beyond Vision: A Multimodal Dataset and Framework for Pest Recognition via Plant Electrophysiological Signals
UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions
Rule-Bottleneck RL: Learning to Decide and Explain for Sequential Resource Allocation via LLM Agents in Public Health
AI and Robotics
Operationalising Normative Rules in Autonomous Robotic Systems Through Context-Oriented Programming
FILD-Nav:Vision-and-Language Navigation with Instruction Landmark Features in Continuous Environments
Real-Time Multi-Robot Motion Planning with Safe-Interval Search and Learning-Guided Repair
Disturbance-Aware Hybrid Learning for Robust and Adaptive UAV Flight in Extreme Winds
Closing the Motion Execution Gap: From Semantic Motion Task Constraints to Kinematic Control
GRALP: A Generative Representation Framework for Action Refinement and Latent Planning in Offline Robotic Control
Human-Centred AI
Self-Refine Learning in LLM Multi-Agent Systems for Legal Norm Cognition and Compliance
DiverValue-Bench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values
Studying the Effects of Robot Distraction on School Shooter Behavior Using Virtual Reality
Responsibility in Multi-Agent Sequential Decision-Making: Comparing Human Judgments to Formal Models of Causal Attribution
Uncovering Discriminatory Behavior in LLM-Based CV Screening Systems with Composite Statistical Metamorphic Relations
Probing Cultural Awareness in LLMs: A Case Study of Cross-Culture Aesthetic Stylistics
Survey Track
LLM-Based Agents on the Edge: A Survey of Privacy, Scalability, Heterogeneity, and Autonomy
A Survey of Artificial Intelligence in Endoscopic Surgery Workflow: From Perception to Surgical Support
Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators
A Survey on Quantitative Possibility Theory in Artificial Intelligence: A Convenient Epistemic Uncertainty Model
From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data
Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking Across Datasets, Models, and Generated Content
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
A Survey on 3D Skeleton Based Person Re-Identification: Taxonomy, Advances, Challenges, and Interdisciplinary Prospects
Towards Vision-Spatiotemporal Fusion in Traffic Forecasting: A Survey on Cross-Modal Alignment
Concept Bottleneck Models for Explainable Decision Making: A Survey of Progress, Taxonomy, and Future Directions
From Multimodal Perception to Strategic Reasoning: A Survey on AI-Generated Game Commentary
Early Career Spotlight
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design
Toward Trustworthy Recommender Systems in the Era of Agentic AI: From Relational User Modeling to Generative Personalization
TrafficPDE: A Guidebook to Deployable AI-Driven Transportation Systems Through the Perception-Decision-Explanation Triangle
Human-Centred Trustworthy AI for Digital Health: Sensing, Understanding, and Empowerment
Sister Conferences Best Papers
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives (Extended Abstract)
Modeling and Explaining an Industrial Workforce Allocation Problem (Extended Abstract)
Analysing Temporal Reasoning in Description Logics Using Formal Grammars (IJCAI Extended Abstract)
FAIRGAME: A Framework for AI Agents Bias Recognition Using Game Theory (Extended abstract)
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract)
Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes (Extended Abstract)
You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control (Extended Abstract)
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries (Extended Abstract)
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems (Extended Abstract)
A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive (Extended Abstract)
Improving Group Robustness on Spurious Correlation via Evidential Alignment (Extended Abstract)
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN (Extended Abstract)
Journal Track
Multi-Excitation Projective Simulation with a Many-Body Physics-Inspired Inductive Bias
Doctoral Consortium
Equivariant Graph Neural Networks for Protein Interaction Modeling and Structure-Aware Molecular Design
Cybersecurity in AI-Enabled Digital Ecosystems: Evolutionary Game-Theoretic Modelling and Multi-Agent Defence
Configuring Neuro-Symbolic Systems with Guaranteed Properties with Application in Hybrid Intelligence
Towards Comprehensive Benchmarking of Domain Generalization and Adaptation for Time-Series Forecasting in Clinical Multivariate Time-Series Forecasting
Recovering Formal Guarantees for Neural Network-Controlled Systems Under Changing Dynamics
Toward Trustworthy Foundation Models: Mitigating OOD Failure in Adaptation and Deployment
Towards Reliable Multimodal Clinical Decision Support: From Quality-Aware Fusion to Patient Digital Twins
Demo Track
[COMP25] The Automated Negotiating Agents Competition (ANAC) 2025 Challenges and Results
LLM-to-Map: Transparent Conversational Tool Orchestration for Real-Time Multi-Domain Simulation
Sparse ProtoPatient: Interactive Multi-Prototype Explanations for Clinical Diagnosis Prediction
Anti-Slavery Intelligence (ASI): An AI-Powered Tool for Modern Slavery Compliance Analysis and Remediation
Interactive System for Reducing Error Propagation in Multi-Stage Ancient Egyptian Text Analysis
LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation
Lucyde: A Demonstrator for Explainable Artificial Intelligence and Interactive Machine Learning
Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation
Intent Hub: A Self-Healing Semantic Agent Routing System for Resolving Overlap in Agentic Systems
A Scalable Cross-Domain Event Extraction System via a Unified Generative Training Framework
DeepMed Search: An Open-Source Agentic Platform for Medical Deep Research with Introspective Verification
Making Weak Supervision Interactive: Exploring Transfer from Sound Libraries to Passive Acoustic Monitoring Data
Wavelength.AI: Extending the Collaborative Game Wavelength as a Testbed for Studying Shared Understanding in Human–Agent Collaboration
Optimizing Spectrogram Resolution and Training Strategies for Real-Time Killer Whale Call Type Classification
From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle
Visualizing Deep Agents in Long-Horizon Tasks: Towards Explainable and Trustworthy Agentic AI
Visualizing and Interacting with Model Representation Space for Human-Centric Active Learning
AI-Powered Interactive Multimodal Digital Book & Online Shop For Blind and Visually Impaired Users
LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation
UrbanMix: LLM-Guided Simulation of Mixed Autonomy Traffic with Heterogeneous Behavioral Profiles
SteelAgent: An LLM-Orchestrated System for Physics-Informed Steel Property Prediction and Generalization Auditing
Looking at Your Photo, What Comes to Mind? Personalized Memory Internalization for Dementia Reminiscence