Zhang, Chao

172 publications

ICLR 2026 End-to-End Listen, Look, Speak and Act Siyin Wang, Wenyi Yu, Xianzhao Chen, Xiaohai Tian, Jun Zhang, Lu Lu, Yuxuan Wang, Chao Zhang

TMLR 2026 Exploration-Driven Optimization for Test-Time Large Language Model Reasoning ChangHao Li, Yuchen Zhuang, Chenxiao Gao, Haotian Sun, Rushi Qiang, Chao Zhang, Bo Dai

ICLR 2026 GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-Theoretic Tasks Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Zhengyuan Dong, Joao Monteiro, Bang Liu, Qiuzhuang Sun, Tianshu Yu

ICLR 2026 MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai

ICLR 2026 PerfGuard: A Performance-Aware Agent for Visual Content Generation Zhipeng Chen, Zhongrui Zhang, Chao Zhang, Yifan Xu, Lan Yang, Jun Liu, Ke Li, Yi-Zhe Song

ICLR 2026 SciTS: Scientific Time Series Understanding and Generation with LLMs Wen Wu, Ziyang Zhang, Liwei Liu, Xuenan Xu, Jimin Zhuang, Ke Fan, Qitan Lv, Junlin Liu, Chen Zhang, Zheqi Yuan, Siyuan Hou, Tianyi Lin, Kai Chen, Bowen Zhou, Chao Zhang

ICLR 2026 Sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals Weixuan Yuan, Zengrui Jin, Yichen Wang, Donglin Xie, Ziyi Ye, Chao Zhang, Xuesong Chen

ICLR 2026 WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM Changli Tang, Qinfan Xiao, Ke Mei, Tianyi Wang, Fengyun Rao, Chao Zhang

ICLR 2026 YuE: Scaling Open Foundation Models for Long-Form Music Generation Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, Xeron Du, Zhen Ye, Tianyu Zheng, Zhengxuan Jiang, Yinghao Ma, Minghao Liu, Zeyue Tian, Ziya Zhou, Liumeng Xue, Xingwei Qu, Yizhi Li, Shangda Wu, Tianhao Shen, Ziyang Ma, Jun Zhan, Chunhui Wang, Yatian Wang, Xiaowei Chi, Xinyue Zhang, Zhenzhu Yang, XiangzhouWang, Shansong Liu, Lingrui Mei, Peng Li, Junjie Wang, Jianwei Yu, Guojian Pang, Xu Li, Zihao Wang, Xiaohuan Zhou, Lijun Yu, Emmanouil Benetos, Yong Chen, Chenghua Lin, Xie Chen, Gus Xia, Zhaoxiang Zhang, Chao Zhang, Wenhu Chen, Xinyu Zhou, Xipeng Qiu, Roger Dannenberg, Jiaheng Liu, Jian Yang, Wenhao Huang, Wei Xue, Xu Tan, Yike Guo

ICLR 2025 A Benchmark for Semantic Sensitive Information in LLMs Outputs Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang

ICLR 2025 An Engorgio Prompt Makes Large Language Model Babble on Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu, Han Qiu

ICLR 2025 Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Chen Chen, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, Chao-Han Huck Yang, EngSiong Chng

ICLR 2025 Bayesian WeakS-to-Strong from Text Classification to Generation Ziyun Cui, Ziyang Zhang, Guangzhi Sun, Wen Wu, Chao Zhang

NeurIPS 2025 BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals Qinfan Xiao, Ziyun Cui, Chi Zhang, SiQi Chen, Wen Wu, Andrew Thwaites, Alexandra Woolgar, Bowen Zhou, Chao Zhang

IJCAI 2025 Community-Aware Graph Transformer for Brain Disorder Identification Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan

ICML 2025 Cowpox: Towards the Immunity of VLM-Based Multi-Agent Systems Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang

UAI 2025 DF$^2$: Distribution-Free Decision-Focused Learning Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang

ICCV 2025 Dataset Distillation via Vision-Language Category Prototype Yawen Zou, Guang Li, Duo Su, Zi Wang, Jun Yu, Chao Zhang

AISTATS 2025 Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M Ferber, Yian Ma, Carla P Gomes, Chao Zhang

NeurIPS 2025 EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

ICLR 2025 Efficient Evolutionary Search over Chemical Space with Large Language Models Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alan Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

MLJ 2025 Efficient Projection-Free Online Convex Optimization Using Stochastic Gradients Jiahao Xie, Chao Zhang, Zebang Shen, Hui Qian

ICML 2025 Efficiently Access Diffusion Fisher: Within the Outer Product Span Space Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

ICLR 2025 Ensembles of Low-Rank Expert Adapters Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani

ICCV 2025 FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning Qian Feng, JiaHang Tu, Mintong Kang, Hanbin Zhao, Chao Zhang, Hui Qian

AAAI 2025 Fast Incomplete Multi-View Clustering with Adaptive Similarity Completion and Reconstruction Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li

ICCV 2025 Hybrid Layout Control for Diffusion Transformer: Fewer Annotations, Superior Aesthetics Keming Wu, Junwen Chen, Zhanhao Liang, Yinuo Wang, Ji Li, Chao Zhang, Bin Wang, Yuhui Yuan

ICML 2025 Improving LLM Video Understanding with 16 Frames per Second Yixuan Li, Changli Tang, Jimin Zhuang, Yudong Yang, Guangzhi Sun, Wei Li, Zejun Ma, Chao Zhang

AAAI 2025 Incomplete Multi-View Clustering via Diffusion Contrastive Generation Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu

ICML 2025 LLM-Augmented Chemical Synthesis and Design Decision Programs Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang

ICLRW 2025 LLM-Augmented Chemical Synthesis and Design Decision Programs Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang

NeurIPS 2025 MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering Rushi Qiang, Yuchen Zhuang, Yinghao Li, V K Dingu Sagar, Rongzhi Zhang, ChangHao Li, Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai

AAAI 2025 MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation Zhifei Yang, Keyang Lu, Chao Zhang, Jiaxing Qi, Hanqi Jiang, Ruifei Ma, Shenglin Yin, Yifan Xu, Mingzhe Xing, Zhen Xiao, Jieyi Long, Xiangde Liu, Guangyao Zhai

NeurIPS 2025 Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs ChangHao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai

NeurIPS 2025 Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning Wensong Bai, Chufan Chen, Yichao Fu, Qihang Xu, Chao Zhang, Hui Qian

IJCAI 2025 RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering Matthew Hull, Haoran Wang, Matthew Lau, Alec Helbling, Mansi Phute, Chao Zhang, Zsolt Kira, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau

NeurIPS 2025 SALMONN-Omni: A Standalone Speech LLM Without Codec Injection for Full-Duplex Conversation Wenyi Yu, Siyin Wang, Xiaoyu Yang, Xianzhao Chen, Xiaohai Tian, Jun Zhang, Guangzhi Sun, Lu Lu, Yuxuan Wang, Chao Zhang

AAAI 2025 TextToucher: Fine-Grained Text-to-Touch Generation Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian

NeurIPS 2025 Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models Ilgee Hong, Changlong Yu, Liang Qiu, Weixiang Yan, Zhenghao Xu, Haoming Jiang, Qingru Zhang, Qin Lu, Xin Liu, Chao Zhang, Tuo Zhao

TMLR 2025 Two-Step Offline Preference-Based Reinforcement Learning on Explicitly Constrained Policies Yinglun Xu, Tarun Suresh, Rohan Gumaste, David Zhu, Ruirui Li, Zhengyang Wang, Haoming Jiang, Xianfeng Tang, Qingyu Yin, Monica Xiao Cheng, Qi Zeng, Chao Zhang, Gagandeep Singh

ICCV 2025 Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin Fangyikang Wang, Hubery Yin, Lei Qian, Yinan Li, Shaobin Zhuang, Huminhao Zhu, Yilin Zhang, Yanlong Tang, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

ICML 2025 Video-SALMONN-O1: Reasoning-Enhanced Audio-Visual Large Language Model Guangzhi Sun, Yudong Yang, Jimin Zhuang, Changli Tang, Yixuan Li, Wei Li, Zejun Ma, Chao Zhang

CVPR 2025 Your Scale Factors Are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation Jialai Wang, Yuxiao Wu, Weiye Xu, Yating Huang, Chao Zhang, Zongpeng Li, Mingwei Xu, Zhenkai Liang

CVPR 2024 APISR: Anime Production Inspired Real-World Anime Super-Resolution Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao

ICMLW 2024 Adapting LLM Agents with Universal Feedback in Communication Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen

NeurIPS 2024 Aligning Large Language Models with Representation Editing: A Control Perspective Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang

ICMLW 2024 Aligning Large Language Models with Representation Editing: A Control Perspective Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang

NeurIPS 2024 An Improved Empirical Fisher Approximation for Natural Gradient Descent Xiaodong Wu, Wenyi Yu, Chao Zhang, Philip Woodland

ICML 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai

NeurIPS 2024 BELM: Bidirectional Explicit Linear Multi-Step Sampler for Exact Inversion in Diffusion Models Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

IJCAI 2024 Continual Multi-View Clustering with Consistent Anchor Guidance Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li

NeurIPSW 2024 CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models Guangzhi Sun, Potsawee Manakul, Adian Liusie, Kunat Pipatanakul, Chao Zhang, Phil Woodland, Mark Gales

NeurIPS 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, Chao Zhang, Hui Qian, John C.S. Lui

CVPR 2024 DiaLoc: An Iterative Approach to Embodied Dialog Localization Chao Zhang, Mohan Li, Ignas Budvytis, Stephan Liwicki

ECML-PKDD 2024 Direct-Effect Risk Minimization for Domain Generalization Yuhui Li, Zejia Wu, Chao Zhang, Hongyang Zhang

ICML 2024 EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

ICMLW 2024 Efficient Evolutionary Search over Chemical Space with Large Language Models Haorui Wang, Marta Skreta, Yuanqi Du, Wenhao Gao, Lingkai Kong, Cher Tian Ser, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Alan Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

ICMLW 2024 Equivariant Transformer Forcefields for Molecular Conformer Generation Rui Feng, Binghong Chen, Chao Zhang

AAAI 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

ICML 2024 GeminiFusion: Efficient Pixel-Wise Multimodal Fusion for Vision Transformer Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen

NeurIPS 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai

NeurIPSW 2024 LORC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy Rongzhi Zhang, Kuan Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, Yelong Shen

ICLR 2024 Large Language Models Are Efficient Learners of Noise-Robust Speech Recognition Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EngSiong Chng

AAAI 2024 Learning Cluster-Wise Anchors for Multi-View Clustering Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li

TMLR 2024 MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

AAAI 2024 Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation Yasi Wang, Hong Liu, Chao Zhang, Lu Xu, Qiang Wang

ICLR 2024 RAIN: Your Language Models Can Align Themselves Without Finetuning Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang

ICMLW 2024 RNR: Teaching Large Language Models to Follow Roles and Rules Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li

NeurIPS 2024 RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro

ICLR 2024 SALMONN: Towards Generic Hearing Abilities for Large Language Models Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Chao Zhang

NeurIPS 2024 Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang

NeurIPS 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding Chenhao Zhou, Zebang Shen, Chao Zhang, Hanbin Zhao, Hui Qian

NeurIPS 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

ICML 2024 Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash

ICLR 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang

AAAI 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai

AISTATS 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang

ICML 2024 Video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Yuxuan Wang, Chao Zhang

NeurIPS 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

NeurIPSW 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

ICML 2023 Autoregressive Diffusion Model for Graph Generation Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang

CVPR 2023 Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training with Saliency Prompt Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han

AAAI 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian

CVPR 2023 DETRs with Hybrid Matching Ding Jia, Yuhui Yuan, Haodi He, Xiaopei Wu, Haojun Yu, Weihong Lin, Lei Sun, Chao Zhang, Han Hu

AAAI 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering Chao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, Chunlin Chen

NeurIPS 2023 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

NeurIPSW 2023 MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

NeurIPS 2023 May the Force Be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang

ICML 2023 Model-Aware Contrastive Learning: Towards Escaping the Dilemmas Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen

CVPRW 2023 NTIRE 2023 Challenge on Night Photography Rendering Alina Shutova, Egor I. Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banic, Radu Timofte, Richard Collins, Maria Efimova, Arseniy P. Terekhin, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Chunxia Lei, Tingniao Wang, Song Wang, Shuai Liu, Chaoyu Feng, Guangqi Shao, Hao Wang, Xiaotao Wang, Lei Lei, Lu Xu, Chao Zhang, Yasi Wang, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Furkan Kinli, Baris Özcan, Furkan Kiraç, Hyerin Chung, Nakyung Lee, Sungkeun Kwak, Marcos V. Conde, Tim Seizinger, Florin-Alexandru Vasluianu, Omar Elezabi, Chia-Hsuan Hsieh, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, I-Hsiang Chen, Yi-Chung Chen, Yuan-Chun Chiang

AAAI 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang

ICCV 2023 One-Bit Flip Is All You Need: When Bit-Flip Attack Meets Model Training Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia

NeurIPS 2023 Rank-DETR for High Quality Object Detection Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang

ICLR 2023 Robust Graph Dictionary Learning Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian

NeurIPS 2023 Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

ICML 2023 SMURF-THP: Score Matching-Based UnceRtainty quantiFication for Transformer Hawkes Process Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha

NeurIPS 2023 ToolQA: A Dataset for LLM Question Answering with External Tools Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang

AAAI 2023 Towards Optimal Randomized Strategies in Adversarial Example Game Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian

ICCV 2023 TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li

CVPR 2022 Abandoning the Bayer-Filter to See in the Dark Xingbo Dong, Wanyan Xu, Zhihui Miao, Lan Ma, Chao Zhang, Jiewen Yang, Zhe Jin, Andrew Beng Jin Teoh, Jiajun Shen

IJCAI 2022 DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework Chao Zhang, Zhijian Li, Xin Du, Hui Qian

NeurIPS 2022 End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang

NeurIPS 2022 Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu

AAAI 2022 FORCE: A Framework of Rule-Based Conversational Recommender System Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang

ECCV 2022 FlowFormer: A Transformer Architecture for Optical Flow Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li

AAAI 2022 From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng

NeurIPS 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang

CVPR 2022 Learning a Structured Latent Space for Unsupervised Point Cloud Completion Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, Hongsheng Li

CVPR 2022 Recurring the Transformer for Video Action Recognition Jiewen Yang, Xingbo Dong, Liujun Liu, Chao Zhang, Jiajun Shen, Dahai Yu

NeurIPSW 2022 Shift-Robust Node Classification via Graph Clustering Co-Training Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han

NeurIPS 2022 UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov

AAAI 2021 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian

NeurIPS 2021 HRFormer: High-Resolution Vision Transformer for Dense Predict Yuhui Yuan, Rao Fu, Lang Huang, Weihong Lin, Chao Zhang, Xilin Chen, Jingdong Wang

CVPR 2021 Positive-Unlabeled Data Purification in the Wild for Object Detection Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang

IJCAI 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng

CVPR 2021 Semantic Scene Completion via Integrating Instances and Scene In-the-Loop Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li

ICMLW 2021 Towards Transferable Adversarial Perturbations with Minimum Norm Fangcheng Liu, Chao Zhang, Hongyang Zhang

NeurIPS 2021 Transfer Learning of Graph Neural Networks with Ego-Graph Information Maximization Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han

NeurIPS 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodriguez, Chao Zhang, B. Aditya Prakash

AAAI 2020 Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song

IJCAI 2020 Accelerating Stratified Sampling SGD by Reconstructing Strata Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng

AAAI 2020 Aggregated Gradient Langevin Dynamics Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian

IJCAI 2020 Argot: Generating Adversarial Readable Chinese Texts Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun

CVPR 2020 Density-Aware Feature Embedding for Face Clustering Senhui Guo, Jing Xu, Dapeng Chen, Chao Zhang, Xiaogang Wang, Rui Zhao

AAAI 2020 Efficient Projection-Free Online Methods with Stochastic Recursive Gradient Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian

ECML-PKDD 2020 FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-Grams Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han

CVPR 2020 Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu

NeurIPSW 2020 ReGAL: Rule-Generative Active Learning for Model-in-the-Loop Weak Supervision David Kartchner, Wendi Ren, Davi Nakajima An, Chao Zhang, Cassie Mitchell

ICML 2020 SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong, Jimeng Sun, Chao Zhang

NeurIPS 2020 Self-Adaptive Training: Beyond Empirical Risk Minimization Lang Huang, Chao Zhang, Hongyang Zhang

ICML 2019 A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng

ICCV 2019 Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han

CVPR 2019 C3AE: Exploring the Limits of Compact Model for Age Estimation Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu

AISTATS 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian

ICCV 2019 Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang

ICCV 2019 Orientation-Aware Semantic Segmentation on Icosahedron Spheres Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla

NeurIPS 2019 Spherical Text Embedding Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han

AAAI 2019 Weakly-Supervised Hierarchical Text Classification Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han

AAAI 2018 A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han

ECCV 2018 Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation Yikang Li, Wanli Ouyang, Bolei Zhou, Jianping Shi, Chao Zhang, Xiaogang Wang

NeurIPS 2018 Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian

IJCAI 2018 JUMP: A Jointly Predictor for User Click and Dwell Time Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou

NeurIPS 2018 Joint Sub-Bands Learning with Clique Structures for Wavelet Domain Super-Resolution Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang

IJCAI 2018 Learning Environmental Calibration Actions for Policy Self-Evolution Chao Zhang, Yang Yu, Zhi-Hua Zhou

NeurIPS 2018 Sparse DNNs with Improved Adversarial Robustness Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen

AAAI 2018 Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han

AISTATS 2018 Towards Memory-Friendly Deterministic Incremental Gradient Method Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang

IJCAI 2017 Accelerated Doubly Stochastic Gradient Algorithm for Large-Scale Empirical Risk Minimization Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang

AAAI 2017 Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments Linli Xu, Chao Zhang

CVPR 2017 Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences Chao Zhang, Sergi Pujades, Michael J. Black, Gerard Pons-Moll

ICCV 2017 Hard-Aware Deeply Cascaded Embedding Yuhui Yuan, Kuiyuan Yang, Chao Zhang

IJCAI 2017 Tensor Completion with Side Information: A Riemannian Manifold Approach Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu

CVPR 2016 Functional Faces: Groupwise Dense Correspondence Using Functional Maps Chao Zhang, William A. P. Smith, Arnaud Dessein, Nick Pears, Hang Dai

CVPR 2015 Discrete Hyper-Graph Matching Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu

AAAI 2015 Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang

ECML-PKDD 2015 Fast Inbound Top-K Query for Random Walk with Restart Chao Zhang, Shan Jiang, Yucheng Chen, Yidan Sun, Jiawei Han

AAAI 2015 On Machine Learning Towards Predictive Sales Pipeline Analytics Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang

ICCV 2015 Shell PCA: Statistical Shape Modelling in Shell Space Chao Zhang, Behrend Heeren, Martin Rumpf, William A. P. Smith

CVPR 2014 A Study on Cross-Population Age Estimation Guodong Guo, Chao Zhang

JAIR 2014 Game-Theoretic Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System Francesco Maria Delle Fave, Albert Xin Jiang, Zhengyu Yin, Chao Zhang, Milind Tambe, Sarit Kraus, John P. Sullivan

AAAI 2014 Using the Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

ECML-PKDD 2013 A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank Hongyang Zhang, Zhouchen Lin, Chao Zhang

UAI 2013 Bennett-Type Generalization Bounds: Large-Deviation Case and Faster Rate of Convergence Chao Zhang

CVPRW 2013 Exploiting Unlabeled Ages for Aging Pattern Analysis on a Large Database Chao Zhang, Guodong Guo

NeurIPS 2012 Generalization Bounds for Domain Adaptation Chao Zhang, Lei Zhang, Jieping Ye

AISTATS 2011 Generalization Bound for Infinitely Divisible Empirical Process Chao Zhang, Dacheng Tao

UAI 2011 Risk Bounds for Infinitely Divisible Distribution Chao Zhang, Dacheng Tao

ICCV 2011 Salient Object Detection by Composition Jie Feng, Yichen Wei, Litian Tao, Chao Zhang, Jian Sun

AISTATS 2010 Risk Bounds for Levy Processes in the PAC-Learning Framework Chao Zhang, Dacheng Tao

IJCAI 2009 Fast Active Tabu Search and Its Application to Image Retrieval Chao Zhang, Hongyu Li, Qiyong Guo, Jinyuan Jia, I-Fan Shen

CVPR 2005 Fisher+Kernel Criterion for Discriminant Analysis Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Chao Zhang