Zhong, Fangwei

25 publications

ICML 2025 Behavior-Agnostic Task Inference for Robust Offline In-Context Reinforcement Learning Long Ma, Fangwei Zhong, Yizhou Wang

NeurIPS 2025 Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Yang Shi, Yoonchang Sung, Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Emili García Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi Subramanian, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Sebastian Rios Beltran, Oswaldo Peña, Carlos Saith Rodriguez Rojas, Manuela Chacon-Chamorro, Ruben Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Wu Ruiyang, Chetan Talele, 陆孙嘉, Gema Parreño Piqueras, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, Jose Hernandez-Orallo, Joel Z Leibo

MLJ 2025 ReDMan: Reliable Dexterous Manipulation with Safe Reinforcement Learning Yiran Geng, Jiaming Ji, Yuanpei Chen, Haoran Geng, Fangwei Zhong, Yaodong Yang

NeurIPS 2025 Reinforced Context Order Recovery for Adaptive Reasoning and Planning Long Ma, Fangwei Zhong, Yizhou Wang

ICLR 2025 Simulating Human-like Daily Activities with Desire-Driven Autonomy Yiding Wang, Yuxuan Chen, Fangwei Zhong, Long Ma, Yizhou Wang

CoRL 2025 TrackVLA: Embodied Visual Tracking in the Wild Shaoan Wang, Jiazhao Zhang, Minghan Li, Jiahang Liu, Anqi Li, Kui Wu, Fangwei Zhong, Junzhi Yu, Zhizheng Zhang, He Wang

ICCV 2025 UnrealZoo: Enriching Photo-Realistic Virtual Worlds for Embodied AI Fangwei Zhong, Kui Wu, Churan Wang, Hao Chen, Hai Ci, Zhoujun Li, Yizhou Wang

ECCV 2024 Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL Fangwei Zhong, Kui Wu, Hai Ci, Chu-ran Wang, Hao Chen

ICML 2024 Fast Peer Adaptation with Context-Aware Exploration Long Ma, Yuanfei Wang, Fangwei Zhong, Song-Chun Zhu, Yizhou Wang

NeurIPS 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang

NeurIPS 2024 Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy Zhenyu Guan, Xiangyu Kong, Fangwei Zhong, Yizhou Wang

NeurIPSW 2024 Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy Zhenyu Guan, Xiangyu Kong, Fangwei Zhong, Yizhou Wang

CVPR 2023 GFPose: Learning 3D Human Pose Prior with Gradient Fields Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Yizhou Wang

ICLR 2023 Proactive Multi-Camera Collaboration for 3D Human Pose Estimation Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang

AAAI 2023 RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang

ICML 2022 Disentangling Disease-Related Representation from Obscure for Disease Prediction Chu-Ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang

NeurIPS 2022 MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang, Song-Chun Zhu, Yizhou Wang

NeurIPS 2022 TarGF: Learning Target Gradient Field to Rearrange Objects Without Explicit Goal Specification Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong

ICLR 2022 ToM2C: Target-Oriented Multi-Agent Communication and Cooperation with Theory of Mind Yuanfei Wang, Fangwei Zhong, Jing Xu, Yizhou Wang

ICML 2021 Towards Distraction-Robust Active Visual Tracking Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang

NeurIPS 2020 Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks Jing Xu, Fangwei Zhong, Yizhou Wang

AAAI 2020 Pose-Assisted Multi-Camera Collaboration for Active Object Tracking Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang

ICLR 2019 AD-VAT: An Asymmetric Dueling Mechanism for Learning Visual Active Tracking Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang

WACV 2018 Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial Fangwei Zhong, Sheng Wang, Ziqi Zhang, China Chen, Yizhou Wang

ICML 2018 End-to-End Active Object Tracking via Reinforcement Learning Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang