X. Wang
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Xiangfeng Wang

I am a professor at School of Computer Science and Technology and School of Mathematical Science , East China Normal University. Before that, I received my Bachelor degree and PhD degree from Nanjing University in 2009 and 2014 respectively under the supervision of Professor Bingsheng He. During my PhD study, I was supported by the National Scholarship Council for joint PhD at the University of Minnesota under the supervision of Professor Zhi-Quan Luo.

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Research Areas

  • AI Agent

  • Foundation Model for Operations Research

  • Learn to Optimize: continuous or distributed cases

  • Distributed Optimization
  • Awards

  • 2024, CSIAM Applied Mathematics Implementation Award

  • 2023, Technology Cooperation Annual Outstanding Partner Award (Huawei Cloud)

  • 2022, Nomination Award for Youth Science and Technology Award of Operational Research Society of China

  • 2022, Shanghai QiMingXing

  • 2021, IEEE Signal Processing Society Best Paper Award

  • Publications

    Journal Papers:

    1. Complementary Information Mutual Learning for Multimodality Medical Image Segmentation
      Chuyun Shen, Wenhao Li, Haoqing Chen, Bin Hu, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, and Bo Jin
      Neural Networks 2024 | paper

    2. Generalized Variational Framework with Minimax Optimization for Parametric Blind Deconvolution
      Qichao Cao, Deren Han, Xiangfeng Wang, and Wenxing Zhang
      Inverse Problems 2024 | paper

    3. Joint Design of Long-term Base Station Activation and Short-term Beamforming for Green Wireless Networks
      Jingran Lin, Mengyuan Ma, and Xiangfeng Wang
      IEEE Transactions on Wireless Communications 2024 | paper

    4. 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

    5. 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

    6. An Alternating Structure-adapted Bregman Proximal Gradient Descent Algorithm for Constrained Nonconvex Bonsmooth Optimization Problems and its Inertial Variant
      Xue Gao, Xiangju Cai, Xiangfeng Wang, and Deren Han
      Journal of Global Optimization 2023 | paper

    7. Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
      Chuyun Shen, Wenhao Li, Qisen Xu, Bin Hu, Bo Jin, Haibin Cai, Fengping Zhu, Yuxin Li, and Xiangfeng Wang
      Frontiers of Information Technology & Electronic Engineering (also published at 2022 NeurIPS Workshop on Human in the Loop Learning) 2023 | paper

    8. Open-Set Signal Recognition Based on Transformer and Wasserstein Distance
      Wei Zhang, Da Huang, Minghui Zhou, Jingran Lin, and Xiangfeng Wang
      Applied Sciences 2023 | paper

    9. Group Sparse Space Information Network with Joint Virtual Network Function Deployment and Maximum Flow Routing Strategy
      Huiting Yang, Wei Liu, Xiangfeng Wang, and Jiandong Li
      IEEE Transactions on Wireless Communications 2022 | paper

    10. 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

    11. Mitigating Disparate Impact on Model Accuracy in Differentially Private Learning
      Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, and Hongyuan Zha
      Information Sciences 2022 | paper

    12. 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

    13. 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

    14. 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

    15. 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

    16. 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

    17. Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
      Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyu Zhang, Yanfeng Wang, and Ya Zhang
      IEEE Transactions on Medical Imaging 2021 | paper

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

    19. Survey on Fairness in Trustworthy Machine Learning
      Wenyan Liu, Chuyun Shen, Xiangfeng Wang, Bo Jin, Xingjian Lu, Xiaoling Wang, Hongyuan Zha, and Jifeng He
      Journal of Software 2021 | paper

    20. 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

    21. 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

    22. 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

    23. 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

    24. 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

    25. 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

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

    27. 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

    28. 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

    29. 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

    30. 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

    31. 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

    32. Efficient InSAR Phase Noise Reduction via Total Variation Regularization
      Xiaomei Luo, Xiangfeng Wang, Zhiyong Suo, and Zhenfang Li
      Science China (Information Sciences) 2015 | paper

    33. 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. Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning
      Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai
      MICCAI 2024 | paper

    2. Tackling Multi-Agent Credit Assignment with Disentangled Decision Making
      Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha
      EC Workshop on Foundation Models and Game Theory 2024 | paper

    3. 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

    4. Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation
      Chuyun Shen, Wenhao Li, Ya Zhang, Yanfeng Wang, and Xiangfeng Wang
      BIBM 2023 | paper

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

    6. 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

    7. Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
      Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, and Hongyuan Zha
      AAMAS 2023 | paper

    8. Obtaining Dyadic Fairness by Optimal Transport
      Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, and Xiangfeng Wang
      IEEE Big Data 2022 | paper

    9. ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests
      Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, and Xiangfeng Wang
      IEEE Big Data 2022 | paper

    10. CLD-Net: Complement Local Detail For Medical Small-Object Segmentation
      Rui Chen, Xiangfeng Wang, Bo Jin, Jiaqi Tu, Fengping Zhu, and Yuxin Li
      BIBM 2022 | 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 2022 | paper | The VMAgent Simulator

    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. Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition
      Tingyu Wu, Wenhao Li, Bo Jin, Wei Zhang, and Xiangfeng Wang
      DASFAA 2022 | paper

    14. 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

    15. 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

    16. Semi-supervised Medical Image Segmentation with Confidence Calibration
      Qisen Xu, Qian Wu, Yiqiu Hu, Bo Jin, Bin Hu, Fengping Zhu, Yuxin Li, and Xiangfeng Wang
      IJCNN 2021 | paper

    17. 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

    18. VSB$^2$-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing
      Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Junjie Wang, and Hongyuan Zha
      ICPR 2020 | paper

    19. Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning
      Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, and Hongyuan Zha
      ICPR 2020 | paper

    20. 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

    21. Visual-to-Semantic Hashing for Zero-shot Learning
      Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, and Jinghui Cai
      IJCNN 2020 | paper

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

    23. SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning
      Wenhao Li, Bo Jin, and Xiangfeng Wang
      DASFAA 2019 | paper

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

    25. Joint Day-Ahead Power Procurement and Load Scheduling using Stochastic ADMM
      Xiangfeng Wang, Mingyi Hong, Tsung-Hui Chang, Meisam Razaviyayn, and Zhi-Quan Luo
      ICASSP 2014 | paper

    Books and Book Chapters:

    1. 群体智能/Swarm Intelligence
      Xiangfeng Wang, and Bo Jin
      教育科学出版社-人工智能与智能教育丛书 2021

    2. 人机协同/Human-Machine Synergy
      Xindong Wu, Xiangfeng Wang, Bo Jin, Zheng Yu, and Minghui Wu
      科学出版社 2022

    3. 人工智能伦理与安全(第4章-安全可信人工智能)
      Xiaoling Wang, Xiangfeng Wang, and Bo Jin
      清华大学出版社 2022

    4. 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

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