Zhou, Yuan

45 publications

ICLR 2025 Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits Zihan Zhang, Xiangyang Ji, Yuan Zhou

AAAI 2025 An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang

CVPR 2025 CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction Yuan Zhou, Qingshan Xu, Jiequan Cui, Junbao Zhou, Jing Zhang, Richang Hong, Hanwang Zhang

CVPR 2025 Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation Xin Yan, Yuxuan Cai, Qiuyue Wang, Yuan Zhou, Wenhao Huang, Huan Yang

ICML 2025 On Path to Multimodal Generalist: General-Level and General-Bench Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang

NeurIPS 2025 PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement Teng Hu, Zhentao Yu, Zhengguang Zhou, Jiangning Zhang, Yuan Zhou, Qinglin Lu, Ran Yi

ICML 2025 Safety-Polarized and Prioritized Reinforcement Learning Ke Fan, Jinpeng Zhang, Xuefeng Zhang, Yunze Wu, Jingyu Cao, Yuan Zhou, Jianzhu Ma

ICML 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment Chen Zhang, Qiang He, Yuan Zhou, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang

ECML-PKDD 2024 Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang

AAAI 2023 Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval Bingrui Wang, Yuan Zhou

CVPR 2023 High-Fidelity and Freely Controllable Talking Head Video Generation Yue Gao, Yuan Zhou, Jinglu Wang, Xiao Li, Xiang Ming, Yan Lu

ICLR 2023 Learning Sparse Group Models Through Boolean Relaxation Yijie Wang, Yuan Zhou, Xiaoqing Huang, Kun Huang, Jie Zhang, Jianzhu Ma

ICML 2023 Robust Situational Reinforcement Learning in Face of Context Disturbances Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian

IJCAI 2022 Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms Zishuo Zhao, Xi Chen, Xuefeng Zhang, Yuan Zhou

ICLR 2022 Imitation Learning from Observations Under Transition Model Disparity Tanmay Gangwani, Yuan Zhou, Jian Peng

ICLR 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng

NeurIPS 2022 Near-Optimal Regret Bounds for Multi-Batch Reinforcement Learning Zihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji

ICML 2022 Off-Policy Reinforcement Learning with Delayed Rewards Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng

ICML 2022 Proximal Exploration for Model-Guided Protein Sequence Design Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng

AISTATS 2021 Tight Regret Bounds for Infinite-Armed Linear Contextual Bandits Yingkai Li, Yining Wang, Xi Chen, Yuan Zhou

NeurIPSW 2021 Imitation Learning from Observations Under Transition Model Disparity Tanmay Gangwani, Yuan Zhou, Jian Peng

ICML 2021 Model-Free Reinforcement Learning: From Clipped Pseudo-Regret to Sample Complexity Zihan Zhang, Yuan Zhou, Xiangyang Ji

AAAI 2021 Near-Optimal MNL Bandits Under Risk Criteria Guangyu Xi, Chao Tao, Yuan Zhou

ICML 2021 Probabilistic Programs with Stochastic Conditioning David Tolpin, Yuan Zhou, Tom Rainforth, Hongseok Yang

AISTATS 2020 A PTAS for the Bayesian Thresholding Bandit Problem Jian Peng, Yue Qin, Yadi Wei, Yuan Zhou

AAAI 2020 Adaptive Double-Exploration Tradeoff for Outlier Detection Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou

NeurIPS 2020 Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition Zihan Zhang, Yuan Zhou, Xiangyang Ji

ICML 2020 Divide, Conquer, and Combine: A New Inference Strategy for Probabilistic Programs with Stochastic Support Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth

JMLR 2020 Dynamic Assortment Optimization with Changing Contextual Information Xi Chen, Yining Wang, Yuan Zhou

CoRL 2020 Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani, Jian Peng, Yuan Zhou

NeurIPS 2020 Learning Guidance Rewards with Trajectory-Space Smoothing Tanmay Gangwani, Yuan Zhou, Jian Peng

ICML 2020 Multinomial Logit Bandit with Low Switching Cost Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou

COLT 2020 Root-N-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou

NeurIPS 2019 Channel Gating Neural Networks Weizhe Hua, Yuan Zhou, Christopher M De Sa, Zhiru Zhang, G. Edward Suh

NeurIPS 2019 Exploration via Hindsight Goal Generation Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng

AISTATS 2019 LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood

COLT 2019 Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits Yingkai Li, Yining Wang, Yuan Zhou

ICLR 2019 Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng

NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret Chao Tao, Saúl Blanco, Jian Peng, Yuan Zhou

ICML 2018 Best Arm Identification in Linear Bandits with Linear Dimension Dependency Chao Tao, Saúl Blanco, Yuan Zhou

NeurIPS 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models Yining Wang, Xi Chen, Yuan Zhou

NeurIPS 2018 Tight Bounds for Collaborative PAC Learning via Multiplicative Weights Jiecao Chen, Qin Zhang, Yuan Zhou

ICML 2017 Adaptive Multiple-Arm Identification Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou

CVPRW 2017 Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening Yuan Zhou, Anand Rangarajan, Paul D. Gader

ICML 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing Yuan Zhou, Xi Chen, Jian Li