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
Generalized Variational Framework with Minimax Optimization for Parametric Blind Deconvolution
Qichao Cao, Deren Han, Xiangfeng Wang, and Wenxing Zhang
Inverse Problems 2024 | paper
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem Xiangfeng Wang, Junchi Yan, Bo Jin, and wenhao Li
IEEE Transactions on Cybernetics 2021 | paper
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
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
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
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
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
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
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
Iteration Complexity Analysis of Block Coordinate Descent Methods
Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn, and Zhi-Quan Luo
Mathematical Programming 2017 | paper
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
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
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
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
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
Efficient InSAR Phase Noise Reduction via Total Variation Regularization
Xiaomei Luo, Xiangfeng Wang, Zhiyong Suo, and Zhenfang Li
Science China (Information Sciences) 2015 | paper
The Linearized Alternating Direction Method of Multipliers for Dantzig Selector Xiangfeng Wang, and Xiaoming Yuan
SIAM Journal of Scientific Computing 2012 | paper
Conference Papers:
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
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
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
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
Hierarchical Diffusion for Offline Decision Making
Wenhao Li, Xiangfeng Wang, Bo Jin, and Hongyuan Zha
ICML 2023 | paper
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
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, and Hongyuan Zha
AAMAS 2023 | paper
Obtaining Dyadic Fairness by Optimal Transport
Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, and Xiangfeng Wang IEEE Big Data 2022 | paper
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
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
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
Multi-Agent Path Finding with Prioritized Communication Learning
Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, and Xiangfeng Wang ICRA 2022 | paper
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
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
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
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
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
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
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
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
Visual-to-Semantic Hashing for Zero-shot Learning
Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, and Jinghui Cai
IJCNN 2020 | paper
A Fast Proximal Point Method for Computing Exact Wasserstein Distance
Yujia Xie, Xiangfeng Wang, Ruijia Wang, and Hongyuan Zha
UAI 2019 | paper
SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning
Wenhao Li, Bo Jin, and Xiangfeng Wang DASFAA 2019 | paper
Deep eXtreme Multi-label Learning
Wenjie Zhang, Junchi Yan, Xiangfeng Wang, and Hongyuan Zha
ICMR 2018 | paper
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:
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
人机协同/Human-Machine Synergy
Xindong Wu, Xiangfeng Wang, Bo Jin, Zheng Yu, and Minghui Wu
科学出版社 2022
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
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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