Xiangfeng Wang

Awards

Publications

Journal Papers:

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

2. 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

3. 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

4. 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

5. 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

6. Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
   Wenhao Li, Chuyun Shen, Qisen Xu, Bin Hu, Bo Jin, 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

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

26. 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

27. 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

28. 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

29. 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

30. 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

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

32. 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. 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

2. 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

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

4. 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

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

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

7. 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

8. 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

9. 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

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

11. 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

12. 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

13. 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

14. 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

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. 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

17. 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

18. 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

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

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

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

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

23. 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