教育经历：

• 2009-2014：南京大学 数学系 博士学位
• 2005-2009：南京大学 数学系 学士学位

工作经历：

• 2023-至今：华东师范大学 教授
• 2018-2023：华东师范大学 副教授
• 2014-2018：华东师范大学 讲师

王祥丰，华东师范大学教授，数学与工程应用教育部重点实验室副主任。主要研究方向是智能体（最优化、强化学习、大语言模型驱动智能体）及应用等。曾获中国工业与应用数学学会落地应用成果、中国运筹学会青年科技奖提名奖、IEEE信号处理学会最佳论文奖、华为云技术合作优秀合作伙伴奖等。欢迎人工智能、数学领域的科研合作与优秀学生报考。

期刊论文：

1. Wenhao Li, Xiangfeng Wang*, Bo Jin, Jingyi Lu, and Hongyuan Zha, Learning Roles with Emergent Social Value Orientations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(2), 2026, pp.1657-1673.
2. Wenhao Li, Bo Jin, Xiangfeng Wang*, Junchi Yan, and Hongyuan Zha, F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning, Journal of Machine Learning Research, 24, 2023, pp.1-75.
3. Junjie Sheng, Xiangfeng Wang*, Bo Jin, Wenhao Li, Junchi Yan, Tsung-Hui Chang, Jun Wang, and Hongyuan Zha, Learning Structured Communication for Multi-agent Reinforcement Learning, Autonomous Agents and Multi-Agent Systems, 36, 2022, pp.50.
4. Wenhao Li, Xiangfeng Wang*, Bo Jin, Dijun Luo, and Hongyuan Zha, Structured Cooperative Reinforcement Learning with Time-varying Composite Action Space, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 2022, pp.8618-8634.
5. Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, and Xiangfeng Wang*, Learning to Schedule Multi-NUMA Virtual Machines via Reinforcement Learning, Pattern Recognition, 121, 2022
6. Xiangfeng Wang, Junchi Yan, Bo Jin, and wenhao Li, Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem, IEEE Transactions on Cybernetics, 51(9), 2021, pp.4540-4552.

会议论文：

1. Haosheng Chen, Yun Hua, Wenhao Li, Shiqin Wang, and Xiangfeng Wang*, Who Matters Matters: Agent-Specific Conservative Offline MARL, ICLR, 2026.
2. Junjie Sheng, Yantian Wang, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, and Xiangfeng Wang*, Negotiated Reasoning: On Provably Addressing Relative Over-Generalization, ICLR, 2026.
3. Yun Hua, Haosheng Chen, Shiqin Wang, Wenhao Li, Xiangfeng Wang*, and Jun Luo, Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents, NeurIPS, 2025.
4. Yun Hua, Shang Gao, Wenhao Li, Haosheng Chen, Bo Jin, Xiangfeng Wang*, Jun Luo, and Hongyuan Zha, LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas, NeurIPS, 2025.
5. Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, and Xiangfeng Wang*, Reward Translation via Reward Machine in Semi-Alignable MDPs, ICML, 2025.
6. Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, and Xiangfeng Wang*, SkyRover: A Modular Simulator for Cross-Domain Pathfinding, IJCAI-Demo, 2025.
7. Junjie Sheng, Yanqiu Lin, Jiehao Wu, Jianqi Shi, Yanhong Huang, Min Zhang, and Xiangfeng Wang*, SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation, ICSE, 2025.
8. Wenhao Li, Xiangfeng Wang*, Bo Jin, and Hongyuan Zha, Hierarchical Diffusion for Offline Decision Making, ICML, 2023.
9. Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang*, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang, Learning Cooperative Oversubscription for Cloud by Chance-Constrained MARL, WWW, 2023.
10. Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, and Xiangfeng Wang*, VMAgent: A Practical Virtual Machine Scheduling Platform, IJCAI-Demo, 2022.
11. Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, and Xiangfeng Wang, Multi-Agent Path Finding with Prioritized Communication Learning, ICRA, 2022.