钟方威
基本信息
职称：副教授（博士生导师、硕士生导师）
研究方向：认知推理、自主智能体、具身智能、多智能体系统、社会模拟
电子邮箱：fangweizhong@bnu.edu.cn
个人简介
钟方威，ac米兰官网中文网站副教授，博士生导师。博士毕业于北京大学计算机学院，后在北京大学智能学院从事博士后研究。入选国家博士后创新人才支持计划、北京市科技新星计划，获 ACM 中国人工智能分会新星奖、优秀博士论文奖等荣誉。
主要研究方向为具身社交智能，聚焦面向类人智能体的认知建模与计算方法，研究智能体在物理与社会环境中的感知、推理、决策和学习能力，并探索相关研究与教育、心理等学科的交叉融合。
（随时欢迎感兴趣的老师/同学们通过邮件联系交流、合作）
教育背景
2016年—2021年 北京大学信息科学技术学院 计算机应用技术 博士
2012年—2016年 北京交通大学电子信息工程学院 通信工程（试点班）学士
工作经历
2024年-至今 ac米兰官网中文网站 副教授
2021年-2024年 北京大学智能学院 博雅博士后
主持和参加的科研项目
北京市科技新星项目，《基于认知启发具身智能体的教育社会仿真关键技术》，2026/06-2029/06，主持
北京市自然科学基金-海淀联合创新基金重点项目，《伴学智能体情感感知与主动交互关键技术研究》，2025/07-2029/07，主持
国家自然科学基金青年基金，《面向具身社交场景的心智推理计算模型关键技术研究》，2025/01-2027/12，主持
国家博士后创新人才支持计划，《情境感知与认知推理计算研究》，2021/08-2024/09，主持
科技创新2030-“新一代人工智能”重大项目，《通用人工智能认知计算框架、理论与技术研究》，2022/11-2026/11，项目骨干
科技创新2030-“新一代人工智能”重大项目，《面向跨媒体内容管理的智能分析与推理》，2019/08-2023/08，参与
主要学术成果
* 表示共同第一作者，#表示通讯作者
完整发表目录详见：https://scholar.google.com/citations?user=ejDz1bYAAAAJ&hl或个人主页 https://fangweizhong.xyz/
Jingzhe Lin*, Hengbin Yu*, Yongdan Zeng*, Fangwei Zhong#, EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation, International Conference on Machine Learning (ICML), 2026.（CCF-A）
Kui Wu, Hao Chen, Jinzhu Han, Haijun Liu, Churan Wang, Yizhou Wang, Zhoujun Li, Si Liu, Fangwei Zhong#, AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking, IEEE Robotics and Automation Letters (RA-L), 2026.（机器人领域重要期刊）
Kui Wu, Hao Chen, Churan Wang, Fakhri Karray, Zhoujun Li, Yizhou Wang, Fangwei Zhong#, Hierarchical Instruction-aware Embodied Visual Tracking, Frontiers of Computer Science (FCS), 2026.（学院推荐目录A-）
Yuanfei Wang, Xinju Huang, Fangwei Zhong#, Yaodong Yang, Yizhou Wang, Yuanpei Chen#, Hao Dong#, Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent Interaction, The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026.（CCF-A，Oral）
Ziheng Zhou, Huacong Tang, Mingjie Bi, Yipeng Kang, Wanying He, Fang Sun, Yizhou Sun, Ying Nian Wu, Demetri Terzopoulos, Fangwei Zhong#, Why Are We Moral? An LLM-based Agent Simulation Approach to Study Moral Evolution, The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026.（CCF-A，Oral）
Junjie Liao, Huacong Tang, Ziheng Zhou, Yizhou Wang, Fangwei Zhong#, How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent Simulation, The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026.（CCF-A，Main）
Jingzhe Lin, Ceyao Zhang, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Fangwei Zhong#, Beyond Self-Interest: Modeling Social-Oriented Motivation for Human-like Multi-Agent Interactions, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2026.（CAAI-A，Oral）
Long Ma, Fangwei Zhong#, Yizhou Wang, Reinforced Context Order Recovery for Adaptive Reasoning and Planning, Advances in Neural Information Processing Systems (NeurIPS), 2025.（CCF-A）
Fangwei Zhong*#, Kui Wu*, Churan Wang, Hao Chen, Hai Ci, Zhoujun Li, Yizhou Wang, UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI, International Conference on Computer Vision (ICCV), 2025.（CCF-A，Highlight）
Kui Wu, Shuhang Xu, Hao Chen, Churan Wang, Zhoujun Li, Yizhou Wang, Fangwei Zhong#，VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models，The 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.（CAAI-A）
Shuhang Xu, Fangwei Zhong#, CoMet: Metaphor-Driven Covert Communication for Multi-Agent Language Games, The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.（CCF-A，Oral，SAC Highlight Award, 47/3000）
Long Ma, Fangwei Zhong#, Yizhou Wang, Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning, International Conference on Machine Learning (ICML), 2025.（CCF-A）
Yiding Wang*, Yuxuan Chen*, Fangwei Zhong#, Long Ma, Yizhou Wang, Simulating Human-like Daily Activities with Desire-driven Autonomy, International Conference on Learning Representations (ICLR), 2025.（CCF-A）
Zhenyu Guan, Xiangyu Kong#, Fangwei Zhong#, Yizhou Wang. Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy, Advances in Neural Information Processing Systems (NeurIPS), 2024.（CCF-A）
Fangwei Zhong*, Kui Wu*, Hai Ci, Chu-ran Wang, Hao Chen. Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL, European Conference on Computer Vision (ECCV), 2024.（CAAI-A）
Long Ma*, Yuanfei Wang*, Fangwei Zhong#, Song-Chun Zhu, Yizhou Wang. Fast Peer Adaptation with Context-aware Exploration, International Conference on Machine Learning (ICML), 2024.（CCF-A）
Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang. Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.（CCF-A）
Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong#, Yizhou Wang. GFPose: Learning 3D Human Pose Prior with Gradient Fields, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.（CCF-A）
Hai Ci*, Mickel Liu*, Xuehai Pan*, Fangwei Zhong#, Yizhou Wang. Proactive Multi-Camera Collaboration for 3D Human Pose Estimation, International Conference on Learning Representations (ICLR), 2023.（CCF-A）
Fangwei Zhong*, Xiao Bi*, Yudi Zhang, Wei Zhang, Yizhou Wang. RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.（CCF-A，Oral）
Mingdong Wu*, Fangwei Zhong*, Yulong Xia, Hao Dong. TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification, Advances in Neural Information Processing Systems (NeurIPS), 2022.（CCF-A）
Xuehai Pan, Mickel Liu, Fangwei Zhong#, Yaodong Yang#, Song-Chun Zhu, Yizhou Wang. MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control, Advances in Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS D&B), 2022.（CCF-A）
Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong#, Yizhou Yu, Yizhou Wang. Disentangling Disease-related Representation from Obscure for Disease Prediction, International Conference on Machine Learning (ICML), 2022.（CCF-A）
Yuanfei Wang*, Fangwei Zhong*, Jing Xu, Yizhou Wang. ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind, International Conference on Learning Representations (ICLR), 2022.（CCF-A）
Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang. Towards Distraction-Robust Active Visual Tracking, International Conference on Machine Learning (ICML), 2021.（CCF-A）
Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang. AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.（CCF-A）
Jing Xu*, Fangwei Zhong*, Yizhou Wang. Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks, Advances in Neural Information Processing Systems (NeurIPS), 2020.（CCF-A）
Jing Li*, Jing Xu*, Fangwei Zhong*, Xiangyu Kong, Yu Qiao, Yizhou Wang. Pose-Assisted Multi-Camera Collaboration for Active Object Tracking, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.（CCF-A）
Wenhan Luo*, Peng Sun*, Fangwei Zhong*, Wei Liu, Tong Zhang, Yizhou Wang. End-to-end Active Object Tracking and its Real-world Deployment via Reinforcement Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.（CCF-A）
Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang. AD-VAT: An Asymmetric Dueling Mechanism for Learning Visual Active Tracking, International Conference on Learning Representations (ICLR), 2019.（CCF-A）
Yiming Zuo*, Weichao Qiu*, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille. CRAVES: Controlling Robotic Arm with a Vision-based, Economic System, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.（CCF-A）
Wenhan Luo*, Peng Sun*, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang. End-to-end Active Object Tracking via Reinforcement Learning, International Conference on Machine Learning (ICML), 2018.（CCF-A）
Fangwei Zhong, Sheng Wang, Ziqi Zhang, Chen Zhou, Yizhou Wang. Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2018.（CAAI-B，北京地区（智能机器人领域）广受关注学术论文奖）
Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao, Zihao Xiao, Tae Soo Kim, Yizhou Wang, Alan Yuille. UnrealCV: Virtual Worlds for Computer Vision, Proceedings of the 2017 ACM on Multimedia Conference (MM), 2017.（CCF-A，开源工具GitHub Star 2K+）
奖励与荣誉
2026年，北京市科技新星计划
2025年，ACM SIGAI China Rising Star Award
2025-2026年度，北京师范大学学生社团“十佳指导教师”
2025年，ACL 2025 SAC Highlight Award（CoMet论文）
2023年，CCF-腾讯犀牛鸟十周年“拔尖人才培养卓越导师”
2021年，ACM中国人工智能分会优秀博士论文奖
2021年，国家博士后创新人才支持计划
2021年，北京市和北京大学优秀毕业生（博士）
2021年，北京大学信科学院“学术十杰”
2016年，北京市和北京交通大学优秀毕业生（本科）
学术与社会服务
北京师范大学人工智能社团指导教师
ATEC 2025科技精英赛赛题委员会主席（大赛奖金21万美金）
会议领域主席/高级程序委员会委员：ICML、ICLR、AISTATS、NeurIPS、AAAI
会议审稿/程序委员会成员：CVPR、ICCV、ECCV、RSS、ICRA、IROS、ACM MM、ACCV、WACV等
期刊审稿：Nature Machine Intelligence, The International Journal of Robotics Research (IJRR), ACM Computing Surveys, IEEE Transactions on Pattern Analysis and Machine Intelligence，IEEE Transactions on Image Processing, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Cognitive and Developmental Systems, IEEE Robotics and Automation Letters, ACM TOMM, Robotics and Autonomous Systems等
指导学生项目
北京市本科生启研计划指导教师
“京师杯” 课外学术科技作品竞赛一等奖（2025年、2026年）
指导学生获2025年丘成桐科学奖（计算机科学方向）铜奖（全球前五）
招生说明
欢迎对认知推理、自主智能体、具身智能、多智能体系统、社会模拟等方向有浓厚兴趣的同学联系。期待具有扎实编程与数学基础、良好英文阅读写作能力、主动探索精神和团队协作意识的同学加入。
