Huang, Chao

82 publications

NeurIPS 2025 AI-Researcher: Autonomous Scientific Innovation Jiabin Tang, Lianghao Xia, Zhonghang Li, Chao Huang

MLJ 2025 An Empirical Study on Impact of Label Noise on Synthetic Tabular Data Generation Jeonghoon Kim, Chao Huang, Xin Liu

ICLRW 2025 Aria-UI: Visual Grounding for GUI Instructions Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li

IJCAI 2025 Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang

ICML 2025 Directly Forecasting Belief for Reinforcement Learning with Delays Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

ICML 2025 Ex-VAD: Explainable Fine-Grained Video Anomaly Detection Based on Visual-Language Models Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao

AAAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu

NeurIPS 2025 Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability Jiani Liu, Zhiyuan Wang, Zeliang Zhang, Chao Huang, Susan Liang, Yunlong Tang, Chenliang Xu

ICLR 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

CVPR 2025 Learning to Highlight Audio by Watching Movies Chao Huang, Ruohan Gao, J. M. F. Tsang, Jan Kurcius, Cagdas Bilen, Chenliang Xu, Anurag Kumar, Sanjeel Parekh

NeurIPS 2025 MMPerspective: Do MLLMs Understand Perspective? a Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness Yunlong Tang, Pinxin Liu, Zhangyun Tan, Mingqian Feng, Rui Mao, Chao Huang, Jing Bi, Yunzhong Xiao, Susan Liang, Hang Hua, Ali Vosoughi, Luchuan Song, Zeliang Zhang, Chenliang Xu

AAAI 2025 Multi-View Evidential Learning-Based Medical Image Segmentation Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen

IJCAI 2025 Omni-Dimensional State Space Model-Driven SAM for Pixel-Level Anomaly Detection Chao Huang, Qianyi Li, Jie Wen, Bob Zhang

ICCV 2025 P-AVAS: Can Physics-Integrated Audio-Visual Modeling Boost Neural Acoustic Synthesis? Susan Liang, Chao Huang, Yunlong Tang, Zeliang Zhang, Chenliang Xu

NeurIPS 2025 Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation Wei Wang, Haifeng Xia, Chao Huang, Zhengming Ding, Cong Wang, Haojie Li, Xiaochun Cao

ICML 2025 Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li, Chao Huang, Jürgen Schmidhuber

ICML 2025 SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang

NeurIPS 2025 Tackling Biased Evaluators in Dueling Bandits Ming Tang, Yuxuan Zhou, Chao Huang

IJCAI 2025 Towards VLM-Based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen

NeurIPS 2025 Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Chengliang Liu, Li Shen, Xiaochun Cao

CVPR 2025 VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu

NeurIPS 2025 ZeroSep: Separate Anything in Audio with Zero Training Chao Huang, Yuesheng Ma, Junxuan Huang, Susan Liang, Yunlong Tang, Jing Bi, Wenqiang Liu, Nima Mesgarani, Chenliang Xu

AAAI 2024 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu

ICML 2024 Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation Wang Ziqi, Wei Wang, Chao Huang, Jie Wen, Cong Wang

ICML 2024 Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

NeurIPS 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu

ICML 2024 Diffusion-Based Missing-View Generation with the Application on Incomplete Multi-View Clustering Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu

ICLRW 2024 Empowering Autonomous Driving with Large Language Models: A Safety Perspective Yixuan Wang, Ruochen Jiao, Simon Sinong Zhan, Chengtian Lang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

CVPR 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung, Chao Huang, Xin Liu

ICML 2024 FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

AAAI 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

NeurIPSW 2024 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

IJCAI 2024 Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu

ECCV 2024 Modeling and Driving Human Body Soundfields Through Acoustic Primitives Chao Huang, Dejan Markovic, Chenliang Xu, Alexander Richard

IJCAI 2024 Multimodal Representation Distribution Learning for Medical Image Segmentation Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang

IJCAI 2024 Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao

ICML 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu

AAAI 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Weichao Zhou, Yixuan Wang, Jiameng Fan, Chao Huang, Qi Zhu, Xin Chen, Wenchao Li

ECML-PKDD 2024 Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and Efficiency Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann

L4DC 2024 State-Wise Safe Reinforcement Learning with Pixel Observations Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu

ECCV 2024 TrafficNight : An Aerial Multimodal Benchmark for Nighttime Vehicle Surveillance Guoxing Zhang, Yiming Liu, Xiaoyu Yang, Chao Huang, Huang Hailong

NeurIPS 2024 Variational Delayed Policy Optimization Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

NeurIPS 2023 AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu

CVPR 2023 CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu

AAAI 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

IJCAI 2023 Denoised Self-Augmented Learning for Social Recommendation Tianle Wang, Lianghao Xia, Chao Huang

IJCAI 2023 Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) Zhilu Wang, Chao Huang, Qi Zhu

CVPR 2023 Egocentric Audio-Visual Object Localization Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu

ICML 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu

ICMLW 2023 Feature Importance Measurement Based on Decision Tree Sampling Chao Huang, Diptesh Das, Koji Tsuda

NeurIPS 2023 GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

AAAI 2023 Graph Structure Learning on User Mobility Data for Social Relationship Inference Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong

CVPR 2023 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu

NeurIPS 2023 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann

ICLR 2023 LightGCL: Simple yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren

NeurIPS 2023 Masked Two-Channel Decoupling Framework for Incomplete Multi-View Weak Multi-Label Learning Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu

ICML 2023 Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han

AAAI 2023 Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng

ICML 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

NeurIPSW 2022 Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

IJCAI 2022 Mutual Distillation Learning Network for Trajectory-User Linking Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong

NeurIPSW 2022 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Jiameng Fan, Yixuan Wang, Chao Huang, Xin Chen, Qi Zhu, Wenchao Li

IJCAI 2022 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla

CVPR 2021 Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis Chao Huang, Anuj Srivastava, Rongjie Liu

AAAI 2021 Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based Recommendation Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang

AAAI 2021 Knowledge-Aware Coupled Graph Neural Network for Social Recommendation Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye

AAAI 2021 Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

CVPR 2021 MetaSets: Meta-Learning on Point Sets for Generalizable Representations Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long

IJCAI 2021 Recent Advances in Heterogeneous Relation Learning for Recommendation Chao Huang

IJCAI 2021 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen

AAAI 2021 Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

CVPRW 2021 VSpSR: Explorable Super-Resolution via Variational Sparse Representation Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang

IJCAI 2020 Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo

AAAI 2020 Few-Shot Knowledge Graph Completion Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla

AAAI 2020 Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract) Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos

AAAI 2020 Shape-Aware Organ Segmentation by Predicting Signed Distance Maps Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang

AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

AAAI 2018 Transfer Adversarial Hashing for Hamming Space Retrieval Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang

IJCAI 2017 Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control Chao Huang, Xin Chen, Yifan Zhang, Shengchao Qin, Yifeng Zeng, Xuandong Li

ECML-PKDD 2017 UAPD: Predicting Urban Anomalies from Spatial-Temporal Data Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla

IJCAI 2016 Hierarchical Model Predictive Control for Multi-Robot Navigation Chao Huang, Xin Chen, Yifan Zhang, Shengchao Qin, Yifeng Zeng, Xuandong Li

AAAI 2015 VecLP: A Realtime Video Recommendation System for Live TV Programs Sheng Gao, Dai Zhang, Honggang Zhang, Chao Huang, Yongsheng Zhang, Jianxin Liao, Jun Guo