Chao Huang

Detecting Fake News in Short Videos Through Multi-View Aggregation AAAI 2026 MiniRAG: A Lightweight RAG system with Small Language Models ACL 2026 Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems ACL 2026 Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models ACL 2026 LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? ACL 2026 Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting AAAI 2026 IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection AAAI 2026 Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection IJCAI 2025 Multi-view Evidential Learning-based Medical Image Segmentation AAAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025 RecLM: Recommendation Instruction Tuning ACL 2025 Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models ACL 2025 Aria-UI: Visual Grounding for GUI Instructions ACL 2025 VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? CVPR 2025 Learning to Highlight Audio by Watching Movies CVPR 2025 Self-Adjust Softmax EMNLP 2025 RecGPT: A Foundation Model for Sequential Recommendation EMNLP 2025 Boosting Data Utilization for Multilingual Dense Retrieval EMNLP 2025 EasyRec: Simple yet Effective Language Models for Recommendation EMNLP 2025 GraphAgent: Agentic Graph Language Assistant EMNLP 2025 LightRAG: Simple and Fast Retrieval-Augmented Generation EMNLP 2025 p-AVAS: Can Physics-Integrated Audio-Visual Modeling Boost Neural Acoustic Synthesis? ICCV 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge ICLR 2025 SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator ICML 2025 Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models ICML 2025 Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning ICML 2025 Directly Forecasting Belief for Reinforcement Learning with Delays ICML 2025 Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection IJCAI 2025 Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators IJCAI 2025 Multi-Stage LLM Fine-Tuning with a Continual Learning Setting NAACL 2025 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 Modeling and Driving Human Body Soundfields through Acoustic Primitives ECCV 2024 TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance ECCV 2024 XRec: Large Language Models for Explainable Recommendation EMNLP 2024 OpenGraph: Towards Open Graph Foundation Models EMNLP 2024 Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection IJCAI 2024 Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024 Multimodal Representation Distribution Learning for Medical Image Segmentation IJCAI 2024 State-wise safe reinforcement learning with pixel observations L4DC 2024 FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction ICML 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling ICML 2024 Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation ICML 2024 Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering ICML 2024 Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays ICML 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NIPS 2024 Variational Delayed Policy Optimization NIPS 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024 Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation ICML 2023 Denoised Self-Augmented Learning for Social Recommendation IJCAI 2023 Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023 Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction AAAI 2023 Graph Structure Learning on User Mobility Data for Social Relationship Inference AAAI 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification AAAI 2023 Egocentric Audio-Visual Object Localization CVPR 2023 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering CVPR 2023 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NIPS 2023 Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023 GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks NIPS 2023 CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection CVPR 2023 LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation ICLR 2023 AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis NIPS 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023 Mutual Distillation Learning Network for Trajectory-User Linking IJCAI 2022 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation IJCAI 2022 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning IJCAI 2021 Recent Advances in Heterogeneous Relation Learning for Recommendation IJCAI 2021 Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network AAAI 2021 Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation AAAI 2021 MetaSets: Meta-Learning on Point Sets for Generalizable Representations CVPR 2021 Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis CVPR 2021 Knowledge-aware Coupled Graph Neural Network for Social Recommendation AAAI 2021 Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation AAAI 2021 Few-Shot Knowledge Graph Completion AAAI 2020 Shape-Aware Organ Segmentation by Predicting Signed Distance Maps AAAI 2020 Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract) AAAI 2020 Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction IJCAI 2020 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control IJCAI 2017 Hierarchical Model Predictive Control for Multi-Robot Navigation IJCAI 2016