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Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition


Feb 21, 2021
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha

* 32 pages, 23 figures 

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Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning


Feb 09, 2021
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha

* AAMAS 2021 camera-ready 

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FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications


Jun 28, 2020
Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen

* IEEE Transactions on Industrial Informatics, 2020 

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F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning


Apr 17, 2020
Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha

* arXiv admin note: text overlap with arXiv:1810.02912, arXiv:1803.11485 by other authors 

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Hyper-Meta Reinforcement Learning with Sparse Reward


Feb 11, 2020
Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha


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Learning Structured Communication for Multi-agent Reinforcement Learning


Feb 11, 2020
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha


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Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning


Nov 23, 2019
Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang

* 9 pages, 6 figures 

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Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning


Nov 20, 2019
Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha


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Joint Active Learning with Feature Selection via CUR Matrix Decomposition


Sep 09, 2018
Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha

* Accepted by T-PAMI 

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A Fast Proximal Point Method for Computing Wasserstein Distance


Jun 14, 2018
Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha


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Deep Extreme Multi-label Learning


Jun 08, 2018
Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha


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Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis


Feb 19, 2016
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang

* 37 pages 

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Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance


Sep 09, 2015
Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, Xiangfeng Wang

* submitted for publication, 28 pages 

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Dynamic Structure Embedded Online Multiple-Output Regression for Stream Data


Sep 08, 2015
Changsheng Li, Fan Wei, Weishan Dong, Qingshan Liu, Xiangfeng Wang, Xin Zhang


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