Xiangfeng Wang

Awards

Publications

Journal Papers:

1. Learning Roles with Emergent Social Value Orientations
   Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, and Hongyuan Zha
   IEEE Transactions on Pattern Analysis and Machine Intelligence 2025 | paper

2. Machine learning-driven multi-agent pathfinding: An overview《机器学习驱动的多智能体路径搜寻算法综述》
   Xiangfeng Wang, and Wenhao Li
   Operations Research Transactions 运筹学学报 2023 | paper

3. F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
   Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, and Hongyuan Zha
   Journal of Machine Learning Research 2023 | paper

4. Multi Agent Deep Reinforcement Learning-based Urban Traffic Signal Management《面向城市交通信号优化的多智能体强化学习综述》
   Yun Hua, Xiangfeng Wang, and Bo Jin
   Operations Research Transactions 运筹学学报 2022 | paper

5. Learning Structured Communication for Multi-agent Reinforcement Learning
   Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Tsung-Hui Chang, Jun Wang, and Hongyuan Zha
   Autonomous Agents and Multi-Agent Systems 2022 | paper

6. Structured Cooperative Reinforcement Learning with Time-varying Composite Action Space
   Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, and Hongyuan Zha
   IEEE Transactions on Pattern Analysis and Machine Intelligence 2022 | paper

7. Perturbation Techniques for Convergence Analysis of Proximal Gradient Method and Other First-order Algorithms via Variational Analysis
   Xiangfeng Wang, Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, and Jin Zhang
   Set-Valued and Variational Analysis 2022 | paper

8. Learning to Schedule Multi-NUMA Virtual Machines via Reinforcement Learning
   Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, and Xiangfeng Wang
   Pattern Recognition 2022 | paper

9. The O(1/n) Worst-case Convergence Rate of ADMM with Variable Penalty Parameters 《变惩罚参数交替方向法的O(1/n)迭代复杂度分析》
   Xingju Cai, Xiangfeng Wang, and Wenxing Zhang
   Numerical Mathematics A Journal of Chinese Universities 高等学校计算数学学报 2021 | Commemorate the 100th anniversary of the birth of Professor Xuchu He

10. Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem
    Xiangfeng Wang, Junchi Yan, Bo Jin, and wenhao Li
    IEEE Transactions on Cybernetics 2021 | paper

11. The Distance Between Convex Sets with Minkowski Sum Structure: Application to Collision Detection
    Xiangfeng Wang, Junping Zhang, and Wenxing Zhang
    Computational Optimization and Applications 2020 | paper

12. A Block Successive Upper Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization
    Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, and Zhi-Quan Luo
    Mathematics of Operations Research 2020 | paper

13. Joint Active Learning with Feature Selection via CUR Matrix Decomposition
    Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, and Hongyuan Zha
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2019 | paper

14. Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data
    Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Qingshan Liu, and Xin Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2019 | paper

15. Implementing the ADMM to Big Datasets: A Case Study of LASSO
    Hangrui Yue, Qingzhi Yang, Xiangfeng Wang, and Xiaoming Yuan
    SIAM Journal on Scientific Computing 2018 | paper

16. On the Flexibility of Block Coordinate Descent for Large-Scale Optimization
    Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, and Hongyuan Zha
    Neurocomputing 2018 | paper

17. Iteration Complexity Analysis of Block Coordinate Descent Methods
    Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn, and Zhi-Quan Luo
    Mathematical Programming 2017 | paper

18. Asynchronous Distributed ADMM for Large-Scale Optimization-Part I: Algorithm and Convergence Analysis
    Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, and Xiangfeng Wang
    IEEE Transactions on Signal Processing 2016 | paper

19. Asynchronous Distributed ADMM for Large-Scale Optimization-Part II: Linear Convergence Analysis and Numerical Performances
    Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, and Xiangfeng Wang
    IEEE Transactions on Signal Processing 2016 | paper

20. On the Convergence Rate of a Class of Proximal-Based Decomposition Methods for Monotone Variational Inequalities
    Xiangfeng Wang
    Journal of the Operations Research Society of China 2015 | paper

21. Solving Multiple-Block Separable Convex Minimization Problems using Two-Block ADMM
    Xiangfeng Wang, Mingyi Hong, Shiqian Ma, and Zhi-Quan Luo
    Pacific Journal of Optimization 2015 | paper

22. Multi-Agent Distributed Large-Scale Optimization by Inexact Consensus ADMM
    Tsung-Hui Chang, Mingyi Hong, and Xiangfeng Wang
    IEEE Transactions on Signal Processing 2015 | paper | IEEE Signal Processing Society Best Paper Award

23. The Linearized Alternating Direction Method of Multipliers for Dantzig Selector
    Xiangfeng Wang, and Xiaoming Yuan
    SIAM Journal of Scientific Computing 2012 | paper

Conference Papers:

1. Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
   Yun Hua, Haosheng Chen, Shiqin Wang, Wenhao Li, Xiangfeng Wang, and Jun Luo
   NeurIPS 2025 | paper

2. LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
   Yun Hua, Shang Gao, Wenhao Li, Haosheng Chen, Bo Jin, Xiangfeng Wang, Jun Luo, and Hongyuan Zha
   NeurIPS 2025 | paper

3. DES-Gymnax: Fast Discrete Event Simulator in JAX
   Yun Hua, Jun Luo, and Xiangfeng Wang
   WSC (Winter Simulation Conference) 2025 | paper

4. Reward Translation via Reward Machine in Semi-Alignable MDPs
   Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, and Xiangfeng Wang
   ICML 2025 | paper

5. SkyRover: A Modular Simulator for Cross-Domain Pathfinding
   Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, and Xiangfeng Wang
   IJCAI-Demo 2025 | paper | SkyRover

6. Multi-Agent Credit Assignment with Pretrained Language Models
   Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, and Hongyuan Zha
   AISTATS 2025 | paper

7. SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation
   Junjie Sheng, Yanqiu Lin, Jiehao Wu, Jianqi Shi, Yanhong Huang, Min Zhang, and Xiangfeng Wang
   ICSE 2025 | paper

8. Long-tailed Diffusion Models with Oriented Calibration
   Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, and Yanfeng Wang
   ICLR 2024 | paper

9. Hierarchical Diffusion for Offline Decision Making
   Wenhao Li, Xiangfeng Wang, Bo Jin, and Hongyuan Zha
   ICML 2023 | paper

10. Learning Cooperative Oversubscription for Cloud by Chance-Constrained MARL
    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
    WWW 2023 | paper

11. VMAgent: A Practical Virtual Machine Scheduling Platform
    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
    IJCAI-Demo 2022 | paper | VMAgent

12. Multi-Agent Path Finding with Prioritized Communication Learning
    Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, and Xiangfeng Wang
    ICRA 2022 | paper

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

14. HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem
    Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, and Hongyuan Zha
    KDD 2021 | paper

15. Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning
    Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, and Hongyuan Zha
    AAMAS 2021 | paper

16. Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning
    Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, and Yanfeng Wang
    CVPR 2020 | paper

17. A Fast Proximal Point Method for Computing Exact Wasserstein Distance
    Yujia Xie, Xiangfeng Wang, Ruijia Wang, and Hongyuan Zha
    UAI 2019 | paper

18. Deep eXtreme Multi-label Learning
    Wenjie Zhang, Junchi Yan, Xiangfeng Wang, and Hongyuan Zha
    ICMR 2018 | paper

Books and Book Chapters:

1. Splitting Optimization: Theory, Methodology, and Applications
   Xiangfeng Wang, Xingju Cai, and Deren Han
   Springer Nature 2025 | paper

2. 群体智能/Swarm Intelligence
   王祥丰, 金博
   教育科学出版社-人工智能与智能教育丛书 2021

3. 人机协同/Human-Machine Synergy
   吴信东, 王祥丰, 金博, 于政, 吴明辉
   科学出版社 2022

4. 人工智能伦理与安全（第4章-安全可信人工智能）
   王晓玲, 王祥丰, 金博
   清华大学出版社 2022

5. Block-wise Alternating Direction Method of Multipliers with Gaussian Back Substitution for Multiple-block Convex Programming
   Xiaoling Fu, Bingsheng He, Xiangfeng Wang, and Xiaoming Yuan
   Splitting Algorithms, Modern Operator Theory, and Applications 2019 | chapter

Collaboration Network

1. Huawei 华为云/海思 ｜ Agent for Scheduling/Plannning/Operators

2. TCL | Agent

3. Shanghai AI Laboratory | Multi-Agent Collaboration/AI for Social Science