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Jun Wang 0012
Person information

- affiliation: University College London, UK
- affiliation (former): Delft University, The Netherlands
Other persons with the same name
- Jun Wang — disambiguation page
- Jun Wang 0001
— University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA (and 2 more)
- Jun Wang 0002
— City University of Hong Kong, Department of Computer Science (and 2 more)
- Jun Wang 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Jun Wang 0004 — Beijing Genomics Institutem, China
- Jun Wang 0005
— University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology, Chengdu, China (and 1 more)
- Jun Wang 0006 — East China Normal University, Shanghai, China (and 3 more)
- Jun Wang 0007 — UCLA, CORES Lab, Los Angeles, CA, USA
- Jun Wang 0008 — The University of British Columbia, Vancouver, BC, Canada
- Jun Wang 0009 — Osaka University, Japan
- Jun Wang 0010
— Sichuan University, College of Electronics And Information Engineering, Chengdu, China (and 1 more)
- Jun Wang 0011 — Microsoft (and 1 more)
- Jun Wang 0013
— Xihua University, School of Computer and Software Engineering, Chengdu, China (and 1 more)
- Jun Wang 0014 — Huazhong University of Science and Technology, China (and 1 more)
- Jun Wang 0015 — Waseda University, Shinjuku, Tokyo, Japan
- Jun Wang 0016 — Old Dominion University, Norfolk, USA
- Jun Wang 0017 — University of Geneva, Switzerland
- Jun Wang 0018
— iWudao Tech, San Jose, CA, USA (and 2 more)
- Jun Wang 0019 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Jun Wang 0020
— Université du Luxembourg, Luxembourg
- Jun Wang 0021
— University of New South Wales, Kensington, NSW, Australia
- Jun Wang 0022
— University of Iowa, Center for Global and Regional Environmental Studies, Iowa City, IA, USA (and 3 more)
- Jun Wang 0023
— Nankai University, Institute of Big Data, Tianjin, China (and 1 more)
- Jun Wang 0024
— Jiangnan University, School of Digital Media, Wuxi, China (and 2 more)
- Jun Wang 0025
— Tongji University, Department of Control Science and Engineering, Shanghai, China
- Jun Wang 0026
— University of Nebraska-Lincoln, Power and Energy Systems Laboratory, NE, USA (and 1 more)
- Jun Wang 0027
— South-Central University for Nationalities, College of Computer Science, Wuhan, China (and 1 more)
- Jun Wang 0028
— US Environmental Protection Agency (EPA, Research Triangle Park, NC, USA (and 1 more)
- Jun Wang 0029
— Jiangnan University, Department of Packaging Engineering, Wuxi, China (and 1 more)
- Jun Wang 0030
— Duke University, Department of Chemistry, Durham, NC, USA (and 2 more)
- Jun Wang 0031 — Nanjing University of Posts and Telecommunications, Image Processing and Image Communications Key Lab, China
- Jun Wang 0032 — Queen Mary University of London, Computer Science Department, UK
- Jun Wang 0033 — University of Bedfordshire, UK
- Jun Wang 0034
— Xidian University, Institute of Electronic CAD, Xi'an, China
- Jun Wang 0035
— Shandong University, SDU-NTU Joint Centre For AI Research, C-FAIR, Jinan, China (and 2 more)
- Jun Wang 0036
— Shanghai University of Engineering Science, College of Electronic and Electrical Engineering, China
- Jun Wang 0037
— University of Texas at Dallas, Department of Bioengineering, Richardson, TX, USA (and 1 more)
- Jun Wang 0038
— Zhejiang University, Department of Biosystems Engineering, China
- Jun Wang 0039
— Nanjing University of Aeronautics and Astronautics, College of Mechanical and Electrical Engineering, China (and 4 more)
- Jun Wang 0040
— University of California, San Diego, Department of Bioengineering, CA, USA
- Jun Wang 0041
— Beihang University, Electronic Information Engineering, Beijing, China (and 1 more)
- Jun Wang 0042 — Peking University, School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Jun Wang 0043
— China Three Gorges University, Yichang, China (and 2 more)
- Jun Wang 0044
— Harbin Institute of Technology at Weihai, School of Information and Electrical Engineering, China
- Jun Wang 0045
— Northwestern Polytechnical University, School of Materials Science, Xi'an, China (and 1 more)
- Jun Wang 0046
— University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, Chengdu, China
- Jun Wang 0047 — Nanjing University, Collaborative Innovation Center of Advanced Microstructures, School of Physics, National Laboratory of Solid State Microstructures, China
- Jun Wang 0048
— Fuzhou University, School of Electrical Engineering and Automation, China (and 1 more)
- Jun Wang 0049 — Beihang University, School of Aviation Science and Engineering, Beijing, China
- Jun Wang 0050
— Beijing Jiaotong University, School of Economics and Management, China
- Jun Wang 0051 — Jiangnan University, School of Mechanical Engineering, Wuxi, China
- Jun Wang 0052
— Queen Mary University of London, Barts Cancer Institute, UK (and 1 more)
- Jun Wang 0053
— Linköping University, Division of Theoretical Chemistry, Sweden (and 3 more)
- Jun Wang 0054
— Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jun Wang 0055
— Western Sydney University, Australia (and 1 more)
- Jun Wang 0056
— Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Jun Wang 0057
— Tianjin University of Science and Technology, College of Mechanical Engineering, China (and 1 more)
- Jun Wang 0058 — Taiyuan University of Technology, Key Laboratory of Advanced Transducers and Intelligent Control System, China
- Jun Wang 0059
— Beihang University, Department of Information Systems, School of Economics and Management, Beijing, China (and 1 more)
- Jun Wang 0060 — Peking University, College of Life Sciences, Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, Beijing, China
- Jun Wang 0061
— Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Jun Wang 0062
— Huawei Technologies, Hangzhou Research Center, China
- Jun Wang 0063 — Air force Early-warning Institute, Wuhan, China (and 2 more)
- Jun Wang 0064
— Henan University of Science and Technology, College of Agriculture Equipment Engineering, Luoyang, China
- Jun Wang 0065
(aka: Jun-Askuyue Wang) — Harbin Institute of Technology, Department of Mathematics, China
- Jun Wang 0066
— University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China
- Jun Wang 0067
— University of Fukui, Graduate School of Engineering, Department of Human and Artificial Intelligent Systems, Japan
- Jun Wang 0068
— Tianjin University of Finance and Economics, School of Management Science and Engineering, China
- Jun Wang 0069
— Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Jun Wang 0070
— State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Jun Wang 0071
— China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
- Jun Wang 0072
— Zhejiang University, Institute of Translational Medicine, Hangzhou, China
- Jun Wang 0073 — Tsinghua University, Department of Computer Science and Technology, Beijing , China
- Jun Wang 0074
— University of Kiel, Institute for Experimental Medicine, Germany (and 2 more)
- Jun Wang 0075
— Beijing Jiaotong University, School of Science, Department of Mathematics, China (and 1 more)
- Jun Wang 0076
— Central South University, School of Traffic and Transportation Engineering, Changsha, China
- Jun Wang 0077
— Huawei US R&D, Santa Clara, CA, USA (and 2 more)
- Jun Wang 0078
— Northwest University, School of Information Science and Technology, Xi'an, China (and 1 more)
- Jun Wang 0079
— Lanzhou University of Technology, College of Electrical and Information Engineering / Key Laboratory of Gansu Advanced Control for Industrial Processes, China
- Jun Wang 0080
— Southern Medical University, Shenzhen Hospital, China (and 1 more)
- Jun Wang 0081
— Tianjin University, College of Intelligence and Computing, China
- Jun Wang 0082
— Flatiron Institute, Simons Foundation, New York, NY, USA
- Jun Wang 0083
— Xi'an Jiaotong University, Faculty of Electrical and Information Engineering, School of Automation Science and Engineering, Department of Automation, China
- Jun Wang 0084
— Toll Collection Center for Shaanxi Freeway, Xi'an, China
- Jun Wang 0085
— China University of Petroleum (East China), College of Control Science and Engineering, Qingdao, China (and 1 more)
- Jun Wang 0086
— Southeast University, School of Information Science and Engineering, State Key Laboratory of Millimeter-Waves, Nanjing, China
- Jun Wang 0087
— Beijing University of Chemical Technology, School of Economics and Management, China
- Blowman J. Wang
(aka: Jun Wang 0088) — Southern University of Science and Technology, Shenzhen, China
- Jun Wang 0089
— Southwestern University of Finance and Economics, Chengdu, China
- Jun Wang 0090
— University of Maryland, College Park, MD, USA
- Jun Wang 0091 — Tencent AI Lab, Shenzhen, China
- Jun Wang 0092
— University of Texas Southwestern, Department of Psychiatry, Dallas, TX, USA
- Jun Wang 0093
— Jiangsu University, Faculty of Science, Zhenjiang, China (and 1 more)
- Jun Wang 0094
— Nanjing University, International Institute for Earth System Science, China
- Jun Wang 0095
— China Medical University, First Affiliated Hospital, Department of Surgical Oncology and General Surgery, Shenyang, China
- Jun Wang 0096
— Ministry of Agriculture, Key Laboratory of Freshwater Aquatic Genetic Resources, Shanghai, China (and 2 more)
- Jun Wang 0097
— Nanjing Medical University, First Affiliated Hospital, Department of Thoracic Surgery, China
- Jun Wang 0098
— Mississippi State University, Department of Civil and Environmental Engineering, Starkville, MS, USA (and 1 more)
- Jun Wang 0099
— Shandong Normal University, School of Psychology, Jinan, China
- Jun Wang 0100
— Peking University, Department of Information Management, Beijing, China
- Jun Wang 0101
— Yunnan Normal University, MoE Key Laboratory of Education Informatization for Nationalities / Yunnan Key Laboratory of Smart Education, Kunming, China
- Jun Wang 0102
— Nanjing University of Information Science and Technology, School of Computer and Software, China
- Jun Wang 0103
— Xi'an Aerospace Propulsion Institute, Science and Technology on Liquid Rocket Engine Laboratory, China (and 1 more)
- Jun Wang 0104
— Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Jun Wang 0105
— Tsinghua University, Department of Precision Instrument, Beijing, China (and 1 more)
- Jun Wang 0106
— University of Bristol, Department of Electrical and Electronic Engineering, UK
- Jun Wang 0107
— University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications / Center for Intelligent Networking and Communications, Chengdu, China
- Jun Wang 0108
— China Institute of Water Resources and Hydropower Research, Institute of Water Resources for Pastoral Area, Huhhot, China
- Jun Wang 0109
— Xidian University, School of Cyber Engineering, Xi'an, China
- Jun Wang 0110
— Dalian Maritime University, School of Information Science and Technology, China
- Jun Wang 0111
— Shandong University of Science and Technology, College of Geometrics, Qingdao, China
- Jun Wang 0112
— Harbin University of Science and Technology, Department of Communication Engineering, China
- Jun Wang 0113
— National University Corporation Shizuoka University, Graduate School of Science and Technology, Integrated Bioscience Section, Japan
- Jun Wang 0114
— Hebei University, College of Electronic Information Engineering, Baoding, China (and 1 more)
- Jun Wang 0115
— Qilu University of Technology, School of Mechanical and Automotive Engineering, Jinan, China
- Jun Wang 0116
— University of Electronic Science and Technology of China, Zhongshan Institute, China (and 1 more)
- Jun Wang 0117
— National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China (and 1 more)
- Jun Wang 0118
— China University of Geosciences, School of Computer Science, Wuhan, China
- Jun Wang 0119
— Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Jun Wang 0120 — University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- Jun Wang 0121
— University of Warwick, UK (and 3 more)
- Jun Wang 0122 — Amazon AWS AI Labs
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2020 – today
- 2023
- [j40]Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
:
Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. 37(1): 15 (2023) - [j39]Linghui Meng
, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang
, Yaodong Yang, Bo Xu
:
Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. 20(2): 233-248 (2023) - [c163]Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du:
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS 2023: 679-688 - [i154]Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du:
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR abs/2301.06387 (2023) - [i153]David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang:
MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR abs/2302.05910 (2023) - [i152]Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang:
Order Matters: Agent-by-agent Policy Optimization. CoRR abs/2302.06205 (2023) - [i151]Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang:
An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR abs/2305.09458 (2023) - 2022
- [j38]Xu Chen, Jun Wang:
Inhomogeneous deep Q-network for time sensitive applications. Artif. Intell. 312: 103757 (2022) - [j37]Ricky Sanjaya, Jun Wang, Yaodong Yang:
Measuring the Non-Transitivity in Chess. Algorithms 15(5): 152 (2022) - [j36]Peng Zhang, Hui Gao, Zeting Hu, Meng Yang, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu:
A bias-variance evaluation framework for information retrieval systems. Inf. Process. Manag. 59(1): 102747 (2022) - [j35]Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar:
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 74: 1269-1349 (2022) - [j34]Alexander I. Cowen-Rivers
, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar:
SAMBA: safe model-based & active reinforcement learning. Mach. Learn. 111(1): 173-203 (2022) - [j33]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123: 108353 (2022) - [j32]Yong Chen
, Hui Zhang
, Zhibao Tian, Jun Wang, Dell Zhang
, Xuelong Li
:
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn. IEEE Trans. Knowl. Data Eng. 34(3): 1177-1190 (2022) - [j31]Niannan Xue
, Bin Liu
, Huifeng Guo
, Ruiming Tang, Fengwei Zhou
, Stefanos Zafeiriou
, Yuzhou Zhang, Jun Wang, Zhenguo Li:
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. IEEE Trans. Knowl. Data Eng. 34(6): 2653-2666 (2022) - [j30]Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang:
Online Double Oracle. Trans. Mach. Learn. Res. 2022 (2022) - [j29]Xinyi Dai, Yunjia Xi
, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu:
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. 40(2): 25:1-25:29 (2022) - [j28]Fanglei Sun
, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang
, Kai Li:
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. IEEE Trans. Wirel. Commun. 21(8): 6167-6179 (2022) - [c162]Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI 2022: 8797-8805 - [c161]Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang:
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. ACL (1) 2022: 391-400 - [c160]Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu:
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS 2022: 1128-1136 - [c159]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. AAMAS 2022: 1630-1632 - [c158]Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang:
A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI 2022: 74-87 - [c157]Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar:
BOiLS: Bayesian Optimisation for Logic Synthesis. DATE 2022: 1193-1196 - [c156]Yang Liu, Na Tang, Xiaoli Chu
, Yang Yang, Jun Wang:
LPCSE: Neural Speech Enhancement through Linear Predictive Coding. GLOBECOM 2022: 5335-5341 - [c155]Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang:
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. ICLR 2022 - [c154]David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR 2022 - [c153]Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar:
Reinforcement Learning in Presence of Discrete Markovian Context Evolution. ICLR 2022 - [c152]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. ICLR 2022 - [c151]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML 2022: 14173-14196 - [c150]Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar:
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML 2022: 20423-20443 - [c149]Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA 2022: 7544-7550 - [c148]Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang:
On the Convergence of Fictitious Play: A Decomposition Approach. IJCAI 2022: 179-185 - [c147]Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang:
Scalable Model-based Policy Optimization for Decentralized Networked Systems. IROS 2022: 9019-9026 - [c146]Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang:
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS 2022 - [c145]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. NeurIPS 2022 - [c144]Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang:
Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS 2022 - [c143]Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang:
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. NeurIPS 2022 - [c142]Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) 2022: 377-392 - [c141]Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang:
Masked Gradient-Based Causal Structure Learning. SDM 2022: 424-432 - [i150]Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR abs/2201.04480 (2022) - [i149]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i148]Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu:
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning. CoRR abs/2201.06257 (2022) - [i147]Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar:
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. CoRR abs/2201.12570 (2022) - [i146]Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang:
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations. CoRR abs/2202.01388 (2022) - [i145]Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang:
Settling the Communication Complexity for Distributed Offline Reinforcement Learning. CoRR abs/2202.04862 (2022) - [i144]Yingzhanghao Zhou, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, Hong Guo:
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems. CoRR abs/2202.05098 (2022) - [i143]Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar:
Reinforcement Learning in Presence of Discrete Markovian Context Evolution. CoRR abs/2202.06557 (2022) - [i142]Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar:
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR abs/2202.06558 (2022) - [i141]Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. CoRR abs/2202.08388 (2022) - [i140]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR abs/2203.02214 (2022) - [i139]Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang:
M2N: Mesh Movement Networks for PDE Solvers. CoRR abs/2204.11188 (2022) - [i138]Guochang Lin, Fukai Chen, Pipi Hu, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi:
BI-GreenNet: Learning Green's functions by boundary integral network. CoRR abs/2204.13247 (2022) - [i137]Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang:
On the Convergence of Fictitious Play: A Decomposition Approach. CoRR abs/2205.01469 (2022) - [i136]Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang:
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. CoRR abs/2205.04120 (2022) - [i135]Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Ping Zhang, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, Sherman X. Shen, Hamid Aghvami, Geoffrey Ye Li, Jiangzhou Wang, Guangyi Liu, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson, Kai-Kit Wong, Shanzhi Chen, Zhiqin Wang, Mérouane Debbah, Schahram Dustdar, Frank Eliassen, Tao Chen, Xiangyang Duan, Shaohui Sun, Xiaofeng Tao, Qinyu Zhang, Jianwei Huang, Shuguang Cui, Wenjun Zhang, Jie Li, Yue Gao, Honggang Zhang, Xu Chen, Xiaohu Ge, Yong Xiao, Cheng-Xiang Wang, Zaichen Zhang, Song Ci, Guoqiang Mao, Changle Li, Ziyu Shao, Yong Zhou, Junrui Liang, Kai Li, Liantao Wu, Fanglei Sun, Kunlun Wang, Zening Liu, Kun Yang, Jun Wang, Teng Gao, Hongfeng Shu:
6G Network AI Architecture for Everyone-Centric Customized Services. CoRR abs/2205.09944 (2022) - [i134]Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll:
A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR abs/2205.10330 (2022) - [i133]Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li:
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. CoRR abs/2205.10750 (2022) - [i132]Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar:
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. CoRR abs/2205.13902 (2022) - [i131]Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang:
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR abs/2205.14953 (2022) - [i130]Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess:
SEREN: Knowing When to Explore and When to Exploit. CoRR abs/2205.15064 (2022) - [i129]Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang:
Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR abs/2205.15434 (2022) - [i128]David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR abs/2205.15953 (2022) - [i127]Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar:
Enhancing Safe Exploration Using Safety State Augmentation. CoRR abs/2206.02675 (2022) - [i126]Yang Liu, Na Tang, Xiaoli Chu, Yang Yang, Jun Wang:
LPCSE: Neural Speech Enhancement through Linear Predictive Coding. CoRR abs/2206.06908 (2022) - [i125]Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang:
Fully Decentralized Model-based Policy Optimization for Networked Systems. CoRR abs/2207.06559 (2022) - [i124]Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR abs/2207.13701 (2022) - [i123]Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang:
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR abs/2208.01682 (2022) - [i122]Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni:
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR abs/2209.01054 (2022) - [i121]Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar:
Structured Q-learning For Antibody Design. CoRR abs/2209.04698 (2022) - [i120]Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang:
Contextual Transformer for Offline Meta Reinforcement Learning. CoRR abs/2211.08016 (2022) - [i119]Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang:
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. CoRR abs/2212.07740 (2022) - [i118]Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang:
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. CoRR abs/2212.09078 (2022) - [i117]Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang:
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. CoRR abs/2212.12669 (2022) - 2021
- [j27]Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan:
Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee. Autom. 129: 109689 (2021) - [j26]Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar:
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? J. Mach. Learn. Res. 22: 160:1-160:78 (2021) - [c140]Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor:
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. AAMAS 2021: 51-56 - [c139]Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang:
Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS 2021: 456-464 - [c138]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM 2021: 484-493 - [c137]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM 2021: 2342-2351 - [c136]Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CIKM 2021: 3925-3934 - [c135]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR 2021: 9593-9602 - [c134]Liang Chen, Fanglei Sun, Kai Li, Ruiqing Chen, Yang Yang, Jun Wang:
Deep Reinforcement Learning for Resource Allocation in Massive MIMO. EUSIPCO 2021: 1611-1615 - [c133]Ruiqing Chen, Fanglei Sun, Liang Chen, Kai Li, Liantao Wu, Jun Wang, Yang Yang:
Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. EUSIPCO 2021: 1631-1635 - [c132]Yang Li, Fanglei Sun, Weiqin Zu, Wenbin Song, Ying Wen, Jun Wang, Yang Yang, Kai Li, Liantao Wu:
MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization. GLOBECOM 2021: 1-6 - [c131]Yang Li
, Fanglei Sun, Wenbin Song, Ying Wen, Kai Li, Jun Wang, Yang Yang:
Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. ICC 2021: 1-6 - [c130]Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang:
Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. ICML 2021: 2870-2879 - [c129]David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang:
Learning in Nonzero-Sum Stochastic Games with Potentials. ICML 2021: 7688-7699 - [c128]Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang:
Modelling Behavioural Diversity for Learning in Open-Ended Games. ICML 2021: 8514-8524 - [c127]Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI 2021: 3566-3573 - [c126]Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang:
Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS 2021: 3504-3517 - [c125]Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang:
Settling the Variance of Multi-Agent Policy Gradients. NeurIPS 2021: 13458-13470 - [c124]Xu Chen, Yali Du
, Long Xia, Jun Wang:
Reinforcement Recommendation with User Multi-aspect Preference. WWW 2021: 425-435 - [c123]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. WWW 2021: 1809-1820 - [i116]Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar:
Efficient Semi-Implicit Variational Inference. CoRR abs/2101.06070 (2021) - [i115]Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor:
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. CoRR abs/2102.07659 (2021) - [i114]Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang:
Online Double Oracle. CoRR abs/2103.07780 (2021) - [i113]Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Jun Wang:
Modelling Behavioural Diversity for Learning in Open-Ended Games. CoRR abs/2103.07927 (2021) - [i112]David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang:
Learning to Shape Rewards using a Game of Switching Controls. CoRR abs/2103.09159 (2021) - [i111]David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang:
Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR abs/2103.09284 (2021) - [i110]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. CoRR abs/2104.06077 (2021) - [i109]Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. CoRR abs/2105.06631 (2021) - [i108]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR abs/2105.13645 (2021) - [i107]Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu
, Stephen McAleer, Ying Wen, Jun Wang:
Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR abs/2106.02745 (2021) - [i106]Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar:
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR abs/2106.03609 (2021) - [i105]Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang:
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization. CoRR abs/2106.06828 (2021) - [i104]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR abs/2106.07551 (2021) - [i103]Vincent Moens, Aivar Sootla, Haitham Bou-Ammar, Jun Wang:
Implicit Variational Conditional Sampling with Normalizing Flows. CoRR abs/2107.02474 (2021) - [i102]Xihan Li
, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization.