Educational Background：

• 2009-2014: Ph.D., Department of Mathematics, Nanjing University
• 2005-2009: B.S., Department of Mathematics, Nanjing University

Work Experience：

• 2023-Present: Professor, East China Normal University
• 2018-2023: Associate Professor, East China Normal University
• 2014-2018: Lecturer, East China Normal University

Xiangfeng Wang, PhD, is a Professor at East China Normal University and Deputy Director of the Key Laboratory of Mathematics and Engineering Applications, Ministry of Education. His primary research interests focus on Intelligent Agents (including Optimization, Reinforcement Learning, and LLM-driven Agents) and their applications. He has received the CSIAM (China Society for Industrial and Applied Mathematics) Industrial Application Achievement Award, the Nomination Award for the Youth Science and Technology Award from the Operations Research Society of China, the IEEE Signal Processing Society Best Paper Award, and the Huawei Cloud Technical Cooperation Excellent Partner Award, among others. Research collaborations and applications from outstanding students in the fields of Artificial Intelligence and Mathematics are welcome.

Journal:

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.

Conference:

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.
12. Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, and Hongyuan Zha, Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition, ICLR, 2022.