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ORCIDJun Wang 0012
Person information
- affiliation: University College London, Department of Computer Science, UCL Centre for Artificial Intelligence, London, UK
- affiliation (PhD 2008): Delft University of Technology, The Netherlands
Other persons with the same name
- Jun Wang — disambiguation page
- Jun Wang 0001
![[0000-0002-0926-4761]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0926-4761")
— 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, Hong Kong (and 3 more)
- Jun Wang 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Jun Wang 0004 — Beijing Genomics Institute, Shenzhen, China (and 2 more)
- 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 — Zhuhai Jieli Technology Co., Ltd, Zhuhai, China (and 3 more)
- 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 — Shanghai University, School of Communication and Information Engineering, Shanghai , China (and 3 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, School of Geographic and Biologic Information, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing, China (and 1 more)
- 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, London, 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 — Beijing Foreign Studies University, International Business School, Beijing, China (and 1 more)
- 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 — Salesforce AI Research, Palo Alto, CA, USA (and 1 more)
- 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, Department of Computer Science, Coventry, UK (and 3 more)
- Jun Wang 0122 — Amazon AWS AI Labs
- Jun Wang 0123 — Ping An Technology Co. Ltd., PingAn Healthcare Technology, AI Platform Group, Beijing, China (and 2 more)
- Jun Wang 0124 — China University of Geosciences, School of Geophysics and Information Technology, Beijing, China
- Jun Wang 0125 — Virginia Tech, Computer Science Department, Blacksburg, VA, USA
- Jun Wang 0126 — University of Melbourne, Australia
- Jun Wang 0127 — JD AI Research, Beijing, China
- Jun Wang 0128 — Southwest Minzu University, College of Electrical and Information Engineering, Key Laboratory of Electronic Information of State Ethnic Affairs Commission, Chengdu, China
- Jun Wang 0129 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jun Wang 0130 — University of Science and Technology of China, School of Computer Science and Technology, Key Lab of Computing and Communication Software of Anhui Province, Hefei, China
- Jun Wang 0131 — Nanchang Institute of Technology, School of Information Engineering, Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang, China (and 1 more)
- Jun Wang 0132 — Shanghai Normal University, Department of Mathematics, Shanghai, China
- Jun Wang 0133 — University of Siena, Department of Information Engineering and Mathematics, Siena, Italy
- Jun Wang 0134 — Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, China
- Jun Wang 0135 — Washington University in St. Louis, Department of Electrical and Systems Engineering, St. Louis, MO, USA (and 1 more)
- Jun Wang 0136 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Jun Wang 0137 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Brain-inspired Application Technology Center, Shanghai, China
- Jun Wang 0138 — Southeast University, School of Information Science and Engineering, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
- Jun Wang 0139 — Indiana University, Pervasive Technology Institute, Bloomington, IN, USA
- Jun Wang 0140 — Xi'an University of Posts and Telecommunications, School of Telecommunication and Information Engineering, Xi'an, China
- Jun Wang 0141 — Palo Alto Networks, Inc., USA (and 1 more)
- Jun Wang 0142 — Independent Researcher, Syracuse, NY, USA (and 2 more)
- Jun Wang 0143 — China Earthquake Administration, The Second Monitoring and Application Center, Xi'an, China (and 1 more)
- Jun Wang 0144 — Jilin University, Institute of Atomic and Molecular Physics, Changchun, China (and 1 more)
- Jun Wang 0145 — Quzhou University, School of Mechanical Engineering, Quzhou, China (and 3 more)
- Jun Wang 0146 — University of Nebraska-Lincoln, Department of Electrical and Computer Engineering, Lincoln, NE, USA (and 1 more)
- Jun Wang 0147 — Wuhan University of Science and Technology, College of Life and Health Sciences, Institute of Biology and Medicine, Wuhan, China
- Jun Wang 0148 — Shenyang University of Chemical Technology, College of Computer Science and Technology, Shenyang, China
- Jun Wang 0150 — Xidian University, National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xi'an, China (and 1 more)
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2020 – today
- 2024
[j65]Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu, Jun Wang:
Learning State-Specific Action Masks for Reinforcement Learning. Algorithms 17(2): 60 (2024)- [j64]Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng:
A survey on algorithms for Nash equilibria in finite normal-form games. Comput. Sci. Rev. 51: 100613 (2024) - [j63]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. Mach. Intell. Res. 21(3): 549-570 (2024) - [j62]Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang:
Manas: multi-agent neural architecture search. Mach. Learn. 113(1): 73-96 (2024) - [j61]Yang Yang, Jianjun Wu, Tianjiao Chen, Chenghui Peng, Jun Wang, Juan Deng, Xiaofeng Tao, Guangyi Liu, Wenjing Li, Li Yang, Yufeng He, Tingting Yang, A. Hamid Aghvami, Frank Eliassen, Schahram Dustdar, Dusit Niyato, Wanfei Sun, Yang Xu, Yannan Yuan, Jiang (Linda) Xie, Rongpeng Li, Cuiqin Dai:
Task-Oriented 6G Native-AI Network Architecture. IEEE Netw. 38(1): 219-227 (2024) - [j60]Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv:
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 267-279 (2024) - [j59]Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun:
Cross-Utterance Conditioned VAE for Speech Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4263-4276 (2024) - [j58]Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang:
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23(8): 8077-8091 (2024) - [c201]Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang:
Large Language Models Are Neurosymbolic Reasoners. AAAI 2024: 17985-17993 - [c200]Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang:
Human-Guided Moral Decision Making in Text-Based Games. AAAI 2024: 21574-21582 - [c199]Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang:
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning. AAMAS 2024: 1390-1399 - [c198]Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang:
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. AAMAS 2024: 1772-1781 - [c197]Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang:
A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS 2024: 2830-2832 - [c196]Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang:
RACon: Retrieval-Augmented Simulated Character Locomotion Control. ICME 2024: 1-6 - [c195]Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang:
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. ICML 2024 - [c194]Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang:
AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. ICML 2024 - [c193]Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang:
Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework. ICRA 2024: 1019-1025 - [c192]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW 2024: 1350-1361 - [i197]Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang:
Large Language Models Are Neurosymbolic Reasoners. CoRR abs/2401.09334 (2024) - [i196]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR abs/2401.12553 (2024) - [i195]Muning Wen, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen:
Entropy-Regularized Token-Level Policy Optimization for Large Language Models. CoRR abs/2402.06700 (2024) - [i194]Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang:
Natural Language Reinforcement Learning. CoRR abs/2402.07157 (2024) - [i193]Adam X. Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou-Ammar, Laurence Aitchison:
Bayesian Reward Models for LLM Alignment. CoRR abs/2402.13210 (2024) - [i192]Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang:
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. CoRR abs/2402.17453 (2024) - [i191]Yao Zhao, Tao Wu, Yijie Zhu, Xiang Lu, Jun Wang, Haitham Bou-Ammar, Xinyu Zhang, Peng Du:
ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization. CoRR abs/2403.01928 (2024) - [i190]Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang:
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. CoRR abs/2403.05318 (2024) - [i189]Qirui Mi, Zhiyu Zhao, Siyu Xia, Yan Song, Jun Wang, Haifeng Zhang:
Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach. CoRR abs/2403.12093 (2024) - [i188]Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang:
Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate. CoRR abs/2403.13838 (2024) - [i187]Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang:
Correlated Mean Field Imitation Learning. CoRR abs/2404.09324 (2024) - [i186]Muning Wen, Ziyu Wan, Weinan Zhang, Jun Wang, Ying Wen:
Reinforcing Language Agents via Policy Optimization with Action Decomposition. CoRR abs/2405.15821 (2024) - [i185]Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang:
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR abs/2405.19946 (2024) - [i184]Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang:
Logic Synthesis with Generative Deep Neural Networks. CoRR abs/2406.04699 (2024) - [i183]Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang:
RACon: Retrieval-Augmented Simulated Character Locomotion Control. CoRR abs/2406.17795 (2024) - [i182]Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - [i181]Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang:
Human-like Episodic Memory for Infinite Context LLMs. CoRR abs/2407.09450 (2024) - [i180]Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang:
Mixture of Attentions For Speculative Decoding. CoRR abs/2410.03804 (2024) - [i179]Fenia Christopoulou, Ronald Cardenas, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang:
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks. CoRR abs/2410.05102 (2024) - [i178]Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang:
Efficient Reinforcement Learning with Large Language Model Priors. CoRR abs/2410.07927 (2024) - 2023
- [j57]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) - [j56]Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang:
Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. 17(6): 176349 (2023) - [j55]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) - [j54]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 150:1-150:12 (2023) - [j53]Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, A. 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, 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. IEEE Netw. 37(5): 71-80 (2023) - [j52]Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang:
A Comparison of Topologically Associating Domain Callers Based on Hi-C Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 15-29 (2023) - [j51]Jingmin Huang, Bowei Chen, Zhi Yan, Iadh Ounis, Jun Wang:
GEO: A Computational Design Framework for Automotive Exterior Facelift. ACM Trans. Knowl. Discov. Data 17(6): 82:1-82:20 (2023) - [j50]Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang:
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. 2023 (2023) - [j49]Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - [c191]David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang:
Learning to Shape Rewards Using a Game of Two Partners. AAAI 2023: 11604-11612 - [c190]Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng:
Is Nash Equilibrium Approximator Learnable? AAMAS 2023: 233-241 - [c189]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 - [c188]Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM 2023: 1004-1013 - [c187]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang:
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. EMNLP 2023: 8289-8311 - [c186]Tianyi Lin, Jun Du, Haijun Zhang, Arumugam Nallanathan, Jun Wang:
PPO-Based Energy-Efficient Power Control and Spectrum Allocation in In-Vehicle HetNets. GLOBECOM 2023: 6334-6339 - [c185]Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li:
Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract). ICDE 2023: 3857-3858 - [c184]David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR 2023 - [c183]Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang:
Order Matters: Agent-by-agent Policy Optimization. ICLR 2023 - [c182]David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang:
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML 2023: 24631-24658 - [c181]Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang:
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. ICML 2023: 32059-32087 - [c180]Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai:
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML 2023: 36380-36390 - [c179]Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang:
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. ICRA 2023: 5141-5147 - [c178]Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang:
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. ICRA 2023: 7250-7257 - [c177]Desong Du, Shaohang Han, Naiming Qi, Haitham Bou-Ammar, Jun Wang, Wei Pan:
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions. ICRA 2023: 9442-9448 - [c176]Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. KDD 2023: 2978-2987 - [c175]Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang:
Online PCA in Converging Self-consistent Field Equations. NeurIPS 2023 - [c174]Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy:
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. NeurIPS 2023 - [c173]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS 2023 - [c172]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. NeurIPS 2023 - [c171]Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du:
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. NeurIPS 2023 - [c170]Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang:
Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS 2023 - [c169]Mengyue Yang, Jun Wang, Jean-Francois Ton:
Rectifying Unfairness in Recommendation Feedback Loop. SIGIR 2023: 28-37 - [c168]Shuo Chen, Ning Yang, Meng Zhang, Jun Wang:
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. WiOpt 2023: 1-8 - [i177]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) - [i176]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) - [i175]Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang:
Order Matters: Agent-by-agent Policy Optimization. CoRR abs/2302.06205 (2023) - [i174]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) - [i173]Desong Du, Shaohang Han, Naiming Qi, Haitham Bou-Ammar, Jun Wang, Wei Pan:
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions. CoRR abs/2305.09793 (2023) - [i172]Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy:
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. CoRR abs/2305.18427 (2023) - [i171]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR abs/2306.09200 (2023) - [i170]Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang:
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR abs/2306.13945 (2023) - [i169]Shuo Chen, Ning Yang, Meng Zhang, Jun Wang:
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. CoRR abs/2307.01366 (2023) - [i168]Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CoRR abs/2308.02860 (2023) - [i167]Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang:
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR abs/2308.04719 (2023) - [i166]Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun:
Cross-Utterance Conditioned VAE for Speech Generation. CoRR abs/2309.04156 (2023) - [i165]Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang:
Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR abs/2309.12559 (2023) - [i164]Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang:
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future. CoRR abs/2309.12951 (2023) - [i163]Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang:
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning. CoRR abs/2309.16307 (2023) - [i162]Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang:
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR abs/2309.17179 (2023) - [i161]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. CoRR abs/2310.04230 (2023) - [i160]Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai:
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR abs/2310.05205 (2023) - [i159]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang:
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. CoRR abs/2310.07343 (2023) - [i158]Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar:
Why Can Large Language Models Generate Correct Chain-of-Thoughts? CoRR abs/2310.13571 (2023) - [i157]Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. CoRR abs/2310.13892 (2023) - [i156]Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang:
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. CoRR abs/2310.18127 (2023) - [i155]Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang:
Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework. CoRR abs/2311.08244 (2023) - [i154]Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng:
A survey on algorithms for Nash equilibria in finite normal-form games. CoRR abs/2312.11063 (2023) - [i153]Weiyu Ma, Qirui Mi, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang:
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. CoRR abs/2312.11865 (2023) - [i152]Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang:
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR abs/2312.14878 (2023) - 2022
- [j48]Xu Chen, Jun Wang:
Inhomogeneous deep Q-network for time sensitive applications. Artif. Intell. 312: 103757 (2022) - [j47]Ricky Sanjaya, Jun Wang, Yaodong Yang:
Measuring the Non-Transitivity in Chess. Algorithms 15(5): 152 (2022) - [j46]Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Yuanfang Guan, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang:
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings Bioinform. 23(1) (2022) - [j45]Xin Dong, Ke Chen, Wenbo Chen, Jun Wang, Liuping Chang, Jin Deng, Lei Wei, Leng Han, Chunhua Huang, Chunjiang He:
circRIP: an accurate tool for identifying circRNA-RBP interactions. Briefings Bioinform. 23(4) (2022) - [j44]Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Shannon Erhardt, Jun Wang, Xiaoqing Peng, Jianxin Wang:
AlzCode: a platform for multiview analysis of genes related to Alzheimer's disease. Bioinform. 38(7): 2030-2032 (2022) - [j43]Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders:
Bilevel learning for large-scale flexible flow shop scheduling. Comput. Ind. Eng. 168: 108140 (2022) - [j42]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) - [j41]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) - [j40]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) - [j39]Jing Feng, Wenbo Chen, Xin Dong, Jun Wang, Xiangfei Mei, Jin Deng, Siqi Yang, Chenjian Zhuo, Xiaoyu Huang, Lin Shao, Rongyu Zhang, Jing Guo, Ronghui Ma, Juan Liu, Feng Li, Ying Wu, Leng Han, Chunjiang He:
CSCD2: an integrated interactional database of cancer-specific circular RNAs. Nucleic Acids Res. 50(D1): 1179-1183 (2022) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c167]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 - [c166]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 - [c165]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 - [c164]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 - [c163]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 - [c162]Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar:
BOiLS: Bayesian Optimisation for Logic Synthesis. DATE 2022: 1193-1196 - [c161]Yang Liu, Na Tang, Xiaoli Chu, Yang Yang, Jun Wang:
LPCSE: Neural Speech Enhancement through Linear Predictive Coding. GLOBECOM 2022: 5335-5341 - [c160]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 - [c159]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 - [c158]Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar:
Reinforcement Learning in Presence of Discrete Markovian Context Evolution. ICLR 2022 - [c157]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. ICLR 2022 - [c156]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 - [c155]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 - [c154]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 - [c153]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 - [c152]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 - [c151]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 - [c150]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 - [c149]Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang:
Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS 2022 - [c148]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. NeurIPS 2022 - [c147]Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar:
Enhancing Safe Exploration Using Safety State Augmentation. NeurIPS 2022 - [c146]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 - [c145]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 - [c144]Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang:
Masked Gradient-Based Causal Structure Learning. SDM 2022: 424-432 - [i151]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) - [i150]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) - [i149]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) - [i148]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) - [i147]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) - [i146]Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang:
Settling the Communication Complexity for Distributed Offline Reinforcement Learning. CoRR abs/2202.04862 (2022) - [i145]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) - [i144]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) - [i143]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) - [i142]Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. CoRR abs/2202.08388 (2022) - [i141]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) - [i140]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) - [i139]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) - [i138]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) - [i137]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) - [i136]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) - [i135]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) - [i134]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) - [i133]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) - [i132]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) - [i131]Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang:
Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR abs/2205.15434 (2022) - [i130]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) - [i129]Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar:
Enhancing Safe Exploration Using Safety State Augmentation. CoRR abs/2206.02675 (2022) - [i128]Yang Liu, Na Tang, Xiaoli Chu, Yang Yang, Jun Wang:
LPCSE: Neural Speech Enhancement through Linear Predictive Coding. CoRR abs/2206.06908 (2022) - [i127]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) - [i126]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) - [i125]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) - [i124]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) - [i123]Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang:
Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach. CoRR abs/2209.04164 (2022) - [i122]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) - [i121]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) - [i120]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) - [i119]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) - [i118]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
- [j32]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) - [j31]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) - [j30]Zhao Zhang, Wei Hong, Hang Ruan, Ying Jing, Shengli Li, Yaoming Liu, Jun Wang, Wenbo Li, Lixia Diao, Leng Han:
HeRA: an atlas of enhancer RNAs across human tissues. Nucleic Acids Res. 49(Database-Issue): D932-D938 (2021) - [c143]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 - [c142]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 - [c141]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 - [c140]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM 2021: 2342-2351 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [c135]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 - [c134]Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang:
Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach. GLOBECOM 2021: 1-6 - [c133]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 - [c132]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 - [c131]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 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]Xu Chen, Yali Du, Long Xia, Jun Wang:
Reinforcement Recommendation with User Multi-aspect Preference. WWW 2021: 425-435 - [c125]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 - [i117]Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar:
Efficient Semi-Implicit Variational Inference. CoRR abs/2101.06070 (2021) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]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) - [i106]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) - [i105]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) - [i104]Vincent Moens, Aivar Sootla, Haitham Bou-Ammar, Jun Wang:
Implicit Variational Conditional Sampling with Normalizing Flows. CoRR abs/2107.02474 (2021) - [i103]Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CoRR abs/2108.04586 (2021) - [i102]Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng:
Learning to Compute Approximate Nash Equilibrium for Normal-form Games. CoRR abs/2108.07472 (2021) - [i101]Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang:
Settling the Variance of Multi-Agent Policy Gradients. CoRR abs/2108.08612 (2021) - [i100]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR abs/2108.10511 (2021) - [i99]Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang:
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. CoRR abs/2109.01795 (2021) - [i98]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR abs/2109.02444 (2021) - [i97]Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang:
Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics. CoRR abs/2109.09833 (2021) - [i96]Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang:
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. CoRR abs/2109.11251 (2021) - [i95]Guochang Lin, Pipi Hu, Fukai Chen, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi:
BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks. CoRR abs/2110.00352 (2021) - [i94]Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang:
Multi-Agent Constrained Policy Optimisation. CoRR abs/2110.02793 (2021) - [i93]Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang:
Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR abs/2110.03604 (2021) - [i92]Ricky Sanjaya, Jun Wang, Yaodong Yang:
Measuring the Non-Transitivity in Chess. CoRR abs/2110.11737 (2021) - [i91]David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang:
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR abs/2110.14468 (2021) - [i90]Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang:
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. CoRR abs/2110.15105 (2021) - [i89]Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar:
BOiLS: Bayesian Optimisation for Logic Synthesis. CoRR abs/2111.06178 (2021) - [i88]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. CoRR abs/2111.12600 (2021) - [i87]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. CoRR abs/2112.02618 (2021) - [i86]Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu:
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. CoRR abs/2112.02845 (2021) - [i85]Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang:
Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR abs/2112.15400 (2021) - [i84]Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang:
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- [j29]Minghao Han, Lixian Zhang, Jun Wang, Wei Pan:
Actor-Critic Reinforcement Learning for Control With Stability Guarantee. IEEE Robotics Autom. Lett. 5(4): 6217-6224 (2020) - [j28]Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang:
Strongly Constrained Discrete Hashing. IEEE Trans. Image Process. 29: 3596-3611 (2020) - [c124]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI 2020: 7219-7226 - [c123]Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang:
Learning to Communicate Implicitly by Actions. AAAI 2020: 7261-7268 - [c122]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI 2020: 7325-7332 - [c121]Ian Davies, Zheng Tian, Jun Wang:
Learning to Model Opponent Learning (Student Abstract). AAAI 2020: 13771-13772 - [c120]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS 2020: 1966-1968 - [c119]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CIKM 2020: 2373-2380 - [c118]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM 2020: 2677-2684 - [c117]Gong Cheng, Kalpa Gunaratna, Jun Wang:
3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020). CIKM 2020: 3533-3534 - [c116]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang:
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c115]Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink:
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. ECCV (7) 2020: 175-192 - [c114]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. ICLR 2020 - [c113]Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. ICML 2020: 10757-10766 - [c112]Ying Wen, Yaodong Yang, Jun Wang:
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. IJCAI 2020: 414-421 - [c111]Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang:
Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets. NeurIPS 2020 - [c110]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR 2020: 29-38 - [c109]Xu Chen, Changying Du, Xiuqiang He, Jun Wang:
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR 2020: 1681-1684 - [c108]Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei:
GREASE: A Generative Model for Relevance Search over Knowledge Graphs. WSDM 2020: 780-788 - [i83]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. CoRR abs/2001.03415 (2020) - [i82]Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar:
Compositional ADAM: An Adaptive Compositional Solver. CoRR abs/2002.03755 (2020) - [i81]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR abs/2004.08697 (2020) - [i80]Minghao Han, Lixian Zhang, Jun Wang, Wei Pan:
Actor-Critic Reinforcement Learning for Control with Stability Guarantee. CoRR abs/2004.14288 (2020) - [i79]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR abs/2004.14714 (2020) - [i78]Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. CoRR abs/2006.01482 (2020) - [i77]Ian Davies, Zheng Tian, Jun Wang:
Learning to Model Opponent Learning. CoRR abs/2006.03923 (2020) - [i76]Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar:
SAMBA: Safe Model-Based & Active Reinforcement Learning. CoRR abs/2006.09436 (2020) - [i75]Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink:
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. CoRR abs/2007.09180 (2020) - [i74]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CoRR abs/2009.01453 (2020) - [i73]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang:
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020) - [i72]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CoRR abs/2011.00550 (2020) - [i71]Yaodong Yang, Jun Wang:
An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective. CoRR abs/2011.00583 (2020) - [i70]Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan:
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee. CoRR abs/2011.06882 (2020) - [i69]Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR abs/2012.03826 (2020) - [i68]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? CoRR abs/2012.08240 (2020) - [i67]Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang:
Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR abs/2012.14228 (2020)
2010 – 2019
- 2019
- [j27]Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang:
Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. IEEE Access 7: 166310-166317 (2019) - [j26]Jing Feng, Yu Xiang, Siyu Xia, Huan Liu, Jun Wang, Fatma Muge Ozguc, Lijun Lei, Ruoshan Kong, Lixia Diao, Chunjiang He, Leng Han:
CircView: a visualization and exploration tool for circular RNAs. Briefings Bioinform. 20(3): 745-751 (2019) - [j25]Yang Yang, Tao Zhang, Jun Wang, Nanxi Chen, Rhonda A. Dirvin:
Fog Services and Enabling Technologies. IEEE Commun. Mag. 57(5): 18 (2019) - [j24]Kai Li, Xiaoqing Luo, Zhancheng Zhang, Jun Wang:
基于四元数小波变换和Copula模型的图像融合 (Image Fusion Using Quaternion Wavelet Transform and Copula Model). 计算机科学 46(4): 293-299 (2019) - [c107]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM 2019: 1983-1992 - [c106]Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang:
MarlRank: Multi-agent Reinforced Learning to Rank. CIKM 2019: 2073-2076 - [c105]Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CIKM 2019: 2527-2535 - [c104]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM 2019: 2595-2603 - [c103]Gong Cheng, Kalpa Gunaratna, Jun Wang:
EYRE 2019: 2nd International Workshop on EntitY REtrieval. CIKM 2019: 2993-2994 - [c102]Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang:
Factorized Q-learning for large-scale multi-agent systems. DAI 2019: 7:1-7:7 - [c101]Mohammad Akbari, Alberto Cetoli, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan, Jun Wang:
Modeling User Return Time Using Inhomogeneous Poisson Process. ECIR (2) 2019: 37-44 - [c100]Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State:
Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. ICDM Workshops 2019: 973-981 - [c99]Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan:
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. ICLR (Poster) 2019 - [c98]Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan:
BayesNAS: A Bayesian Approach for Neural Architecture Search. ICML 2019: 7603-7613 - [c97]Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang:
A Regularized Opponent Model with Maximum Entropy Objective. IJCAI 2019: 602-608 - [c96]Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak:
Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI 2019 - [c95]Minne Li, Lisheng Wu, Jun Wang, Haitham Bou-Ammar:
Multi-View Reinforcement Learning. NeurIPS 2019: 1418-1429 - [c94]Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. WWW 2019: 983-994 - [i66]Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan:
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. CoRR abs/1901.09207 (2019) - [i65]Ying Wen, Yaodong Yang, Rui Lu, Jun Wang:
Multi-Agent Generalized Recursive Reasoning. CoRR abs/1901.09216 (2019) - [i64]Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1901.11454 (2019) - [i63]Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State:
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents. CoRR abs/1902.11212 (2019) - [i62]Minne Li, Pranav Nashikkar, Jun Wang:
Optimizing Object-based Perception and Control by Free-Energy Principle. CoRR abs/1903.01385 (2019) - [i61]Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan:
BayesNAS: A Bayesian Approach for Neural Architecture Search. CoRR abs/1905.04919 (2019) - [i60]Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang:
A Regularized Opponent Model with Maximum Entropy Objective. CoRR abs/1905.08087 (2019) - [i59]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR abs/1905.11353 (2019) - [i58]Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang:
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets. CoRR abs/1905.12569 (2019) - [i57]Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang:
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR abs/1906.04985 (2019) - [i56]Mohammed Amin Abdullah, Hang Ren, Haitham Bou-Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang:
Wasserstein Robust Reinforcement Learning. CoRR abs/1907.13196 (2019) - [i55]Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CoRR abs/1908.06698 (2019) - [i54]Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang:
MANAS: Multi-Agent Neural Architecture Search. CoRR abs/1909.01051 (2019) - [i53]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-level Actor-Critic for Multi-agent Coordination. CoRR abs/1909.03510 (2019) - [i52]Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang:
MarlRank: Multi-agent Reinforced Learning to Rank. CoRR abs/1909.06859 (2019) - [i51]Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei:
GREASE: A Generative Model for Relevance Search over Knowledge Graphs. CoRR abs/1910.04927 (2019) - [i50]Minne Li, Lisheng Wu, Haitham Bou-Ammar, Jun Wang:
Multi-View Reinforcement Learning. CoRR abs/1910.08285 (2019) - [i49]Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan:
H∞ Model-free Reinforcement Learning with Robust Stability Guarantee. CoRR abs/1911.02875 (2019) - [i48]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR abs/1912.01160 (2019) - 2018
- [j23]Yang Yang, Yang Li, Kai Li, Shuang Zhao, Rui Chen, Jun Wang, Song Ci:
DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems. IEEE Access 6: 23361-23371 (2018) - [j22]Yang Yang, Shuang Zhao, Wuxiong Zhang, Yu Chen, Xiliang Luo, Jun Wang:
DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks. IEEE Internet Things J. 5(3): 2094-2106 (2018) - [j21]Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang:
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. IEEE Trans. Knowl. Data Eng. 30(4): 645-659 (2018) - [c93]Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang:
Efficient Architecture Search by Network Transformation. AAAI 2018: 2787-2794 - [c92]Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Long Text Generation via Adversarial Training with Leaked Information. AAAI 2018: 5141-5148 - [c91]Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang:
A Neural Stochastic Volatility Model. AAAI 2018: 6401-6408 - [c90]Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu:
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. AAAI 2018: 8222-8223 - [c89]Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang:
A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS 2018: 2133-2135 - [c88]Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CIKM 2018: 1433-1442 - [c87]Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CIKM 2018: 2193-2201 - [c86]Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Activation Maximization Generative Adversarial Nets. ICLR (Poster) 2018 - [c85]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. ICML 2018: 5567-5576 - [c84]Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang:
On the Equilibrium of Query Reformulation and Document Retrieval. ICTIR 2018: 43-50 - [c83]Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li:
Learning to Design Games: Strategic Environments in Reinforcement Learning. IJCAI 2018: 3068-3074 - [c82]Georgina Peake, Jun Wang:
Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems. KDD 2018: 2060-2069 - [c81]Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu:
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning. NeurIPS 2018: 10696-10705 - [c80]Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu:
Texygen: A Benchmarking Platform for Text Generation Models. SIGIR 2018: 1097-1100 - [i47]Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu:
Texygen: A Benchmarking Platform for Text Generation Models. CoRR abs/1802.01886 (2018) - [i46]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1802.05438 (2018) - [i45]Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CoRR abs/1802.09756 (2018) - [i44]Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang:
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. CoRR abs/1803.02194 (2018) - [i43]Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, Yong Yu:
Neural Text Generation: Past, Present and Beyond. CoRR abs/1803.07133 (2018) - [i42]Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang:
On the Equilibrium of Query Reformulation and Document Retrieval. CoRR abs/1807.02299 (2018) - [i41]Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CoRR abs/1808.03737 (2018) - [i40]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR abs/1809.03149 (2018) - [i39]Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu:
Factorized Q-Learning for Large-Scale Multi-Agent Systems. CoRR abs/1809.03738 (2018) - [i38]Zheng Tian, Shihao Zou, Tim Warr, Lisheng Wu, Jun Wang:
Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game. CoRR abs/1810.04444 (2018) - [i37]Lisheng Wu, Minne Li, Jun Wang:
Learning Shared Dynamics with Meta-World Models. CoRR abs/1811.01741 (2018) - [i36]Haifeng Zhang, Zilong Guo, Han Cai, Chris Wang, Weinan Zhang, Yong Yu, Wenxin Li, Jun Wang:
Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation. CoRR abs/1811.05685 (2018) - 2017
- [j20]Siyu Xia, Jing Feng, Lijun Lei, Jun Hu, Linjian Xia, Jun Wang, Yu Xiang, Lingjun Liu, Shan Zhong, Leng Han, Chunjiang He:
Comprehensive characterization of tissue-specific circular RNAs in the human and mouse genomes. Briefings Bioinform. 18(6): 984-992 (2017) - [j19]Jun Wang, Weinan Zhang, Shuai Yuan:
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. Found. Trends Inf. Retr. 11(4-5): 297-435 (2017) - [c79]Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu:
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. AAAI 2017: 2852-2858 - [c78]Yiyang Li, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang:
Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. CIKM 2017: 1657-1665 - [c77]Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang:
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. KDD 2017: 2051-2059 - [c76]Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang:
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR 2017: 515-524 - [c75]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. WSDM 2017: 581-590 - [c74]Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo:
Real-Time Bidding by Reinforcement Learning in Display Advertising. WSDM 2017: 661-670 - [i35]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. CoRR abs/1701.02433 (2017) - [i34]Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo:
Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR abs/1701.02490 (2017) - [i33]Zhiming Zhou, Shu Rong, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Generative Adversarial Nets with Labeled Data by Activation Maximization. CoRR abs/1703.02000 (2017) - [i32]Peng Peng, Quan Yuan, Ying Wen, Yaodong Yang, Zhenkun Tang, Haitao Long, Jun Wang:
Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games. CoRR abs/1703.10069 (2017) - [i31]Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang:
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. CoRR abs/1705.10513 (2017) - [i30]Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li:
Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. CoRR abs/1707.01310 (2017) - [i29]Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang:
Reinforcement Learning for Architecture Search by Network Transformation. CoRR abs/1707.04873 (2017) - [i28]Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu:
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. CoRR abs/1709.04511 (2017) - [i27]Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Long Text Generation via Adversarial Training with Leaked Information. CoRR abs/1709.08624 (2017) - [i26]Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang:
A Neural Stochastic Volatility Model. CoRR abs/1712.00504 (2017) - [i25]Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu:
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. CoRR abs/1712.00600 (2017) - 2016
- [b1]Grace Hui Yang, Marc Sloan, Jun Wang:
Dynamic Information Retrieval Modeling. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01173-3 - [j18]Zhen Zhang, Jianxin Wang, Junwei Luo, Xiaojun Ding, Jiancheng Zhong, Jun Wang, Fang-Xiang Wu, Yi Pan:
Sprites: detection of deletions from sequencing data by re-aligning split reads. Bioinform. 32(12): 1788-1796 (2016) - [c73]Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang:
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. CIKM 2016: 679-688 - [c72]Weinan Zhang, Tianming Du, Jun Wang:
Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. ECIR 2016: 45-57 - [c71]Weinan Zhang, Lingxi Chen, Jun Wang:
Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation. ECIR 2016: 589-601 - [c70]Jun Wang, Shuai Yuan, Weinan Zhang:
Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms. ECIR 2016: 897-901 - [c69]Lei Xu, Jun Wang, Arumugam Nallanathan, Yaping Li:
Resource Allocation Based on Double Auction for Cloud Computing System. HPCC/SmartCity/DSS 2016: 1538-1543 - [c68]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-Based Neural Networks for User Response Prediction. ICDM 2016: 1149-1154 - [c67]Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu:
Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. KDD 2016: 665-674 - [c66]Meijia Wang, Peng Zhang, Dawei Song, Jun Wang:
Value at Risk for Risk Evaluation in Information Retrieval. NLPCC/ICCPOL 2016: 631-638 - [c65]Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Functional Bid Landscape Forecasting for Display Advertising. ECML/PKDD (1) 2016: 115-131 - [c64]Dell Zhang, Jun Wang, Emine Yilmaz, Xiaoling Wang, Yuxin Zhou:
Bayesian Performance Comparison of Text Classifiers. SIGIR 2016: 15-24 - [c63]Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang:
Feedback Control of Real-Time Display Advertising. WSDM 2016: 407-416 - [i24]Weinan Zhang, Tianming Du, Jun Wang:
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction. CoRR abs/1601.02376 (2016) - [i23]Weinan Zhang, Lingxi Chen, Jun Wang:
Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation. CoRR abs/1601.02377 (2016) - [i22]Marc Sloan, Jun Wang:
Dynamic Information Retrieval: Theoretical Framework and Application. CoRR abs/1601.04605 (2016) - [i21]Marc Sloan, Hui Yang, Jun Wang:
A Term-Based Methodology for Query Reformulation Understanding. CoRR abs/1601.04615 (2016) - [i20]Xiaoxue Zhao, Jun Wang:
A Theoretical Analysis of Two-Stage Recommendation for Cold-Start Collaborative Filtering. CoRR abs/1601.04745 (2016) - [i19]Weinan Zhang, Kan Ren, Jun Wang:
Optimal Real-Time Bidding Frameworks Discussion. CoRR abs/1602.01007 (2016) - [i18]Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang:
Feedback Control of Real-Time Display Advertising. CoRR abs/1603.01055 (2016) - [i17]Kleanthis Malialis, Jun Wang, Gary Brooks, George Frangou:
Feature Selection as a Multiagent Coordination Problem. CoRR abs/1603.05152 (2016) - [i16]Ying Wen, Weinan Zhang, Rui Luo, Jun Wang:
Learning text representation using recurrent convolutional neural network with highway layers. CoRR abs/1606.06905 (2016) - [i15]Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu:
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. CoRR abs/1609.05473 (2016) - [i14]Jun Wang, Weinan Zhang, Shuai Yuan:
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. CoRR abs/1610.03013 (2016) - [i13]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-based Neural Networks for User Response Prediction. CoRR abs/1611.00144 (2016) - 2015
- [j17]Bowei Chen, Jun Wang:
A lattice framework for pricing display advertisement options with the stochastic volatility underlying model. Electron. Commer. Res. Appl. 14(6): 465-479 (2015) - [j16]Lei Xu, Jun Wang, Yaping Li, Qianmu Li, Xiaofei Zhang:
Resource allocation algorithm based on hybrid particle swarm optimization for multiuser cognitive OFDM network. Expert Syst. Appl. 42(20): 7186-7194 (2015) - [j15]Marc Sloan, Hui Yang, Jun Wang:
A term-based methodology for query reformulation understanding. Inf. Retr. J. 18(2): 145-165 (2015) - [j14]Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli:
Multi-Keyword Multi-Click Advertisement Option Contracts for Sponsored Search. ACM Trans. Intell. Syst. Technol. 7(1): 5:1-5:29 (2015) - [c62]Qian Yu, Peng Zhang, Yuexian Hou, Dawei Song, Jun Wang:
Document Boltzmann Machines for Information Retrieval. ECIR 2015: 666-671 - [c61]Dell Zhang, Jun Wang, Xiaoxue Zhao, Xiaoling Wang:
A Bayesian Hierarchical Model for Comparing Average F1 Scores. ICDM 2015: 589-598 - [c60]Marc Sloan, Jun Wang:
Dynamic Information Retrieval: Theoretical Framework and Application. ICTIR 2015: 61-70 - [c59]Xiaoxue Zhao, Jun Wang:
A Theoretical Analysis of Two-Stage Recommendation for Cold-Start Collaborative Filtering. ICTIR 2015: 71-80 - [c58]Dell Zhang, Jun Wang, Xiaoxue Zhao:
Estimating the Uncertainty of Average F1 Scores. ICTIR 2015: 317-320 - [c57]Weinan Zhang, Jun Wang:
Statistical Arbitrage Mining for Display Advertising. KDD 2015: 1465-1474 - [c56]Xiaoxue Zhao, Weinan Zhang, Jun Wang:
Risk-Hedged Venture Capital Investment Recommendation. RecSys 2015: 75-82 - [c55]Hui Yang, Marc Sloan, Jun Wang:
Dynamic Information Retrieval Modeling. WSDM 2015: 409-410 - [c54]Jun Wang, Shuai Yuan:
Real-Time Bidding: A New Frontier of Computational Advertising Research. WSDM 2015: 415-416 - [i12]Weinan Zhang, Ye Pan, Tianxiong Zhou, Jun Wang:
An Empirical Study on Display Ad Impression Viewability Measurements. CoRR abs/1505.05788 (2015) - [i11]Weinan Zhang, Jun Wang:
Statistical Arbitrage Mining for Display Advertising. CoRR abs/1506.03837 (2015) - 2014
- [j13]Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou:
Bias-variance analysis in estimating true query model for information retrieval. Inf. Process. Manag. 50(1): 199-217 (2014) - [j12]Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang:
Introduction to the Special Issue on Diversity and Discovery in Recommender Systems. ACM Trans. Intell. Syst. Technol. 5(4): 52:1-52:3 (2014) - [c53]Peng Zhang, Linxue Hao, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu:
Generalized Bias-Variance Evaluation of TREC Participated Systems. CIKM 2014: 1911-1914 - [c52]Bowei Chen, Shuai Yuan, Jun Wang:
A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. ADKDD@KDD 2014: 1:1-1:9 - [c51]Weinan Zhang, Shuai Yuan, Jun Wang:
Optimal real-time bidding for display advertising. KDD 2014: 1077-1086 - [c50]Shuai Yuan, Jun Wang, Bowei Chen, Peter Mason, Sam Seljan:
An empirical study of reserve price optimisation in real-time bidding. KDD 2014: 1897-1906 - [c49]Hui Yang, Marc Sloan, Jun Wang:
Dynamic information retrieval modeling. SIGIR 2014: 1290 - [i10]Bowei Chen, Shuai Yuan, Jun Wang:
A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. CoRR abs/1405.5189 (2014) - [i9]Weinan Zhang, Shuai Yuan, Jun Wang:
Real-Time Bidding Benchmarking with iPinYou Dataset. CoRR abs/1407.7073 (2014) - [i8]Bowei Chen, Jun Wang:
A Lattice Framework for Pricing Display Ad Options with the Stochastic Volatility Underlying Model. CoRR abs/1409.0697 (2014) - 2013
- [j11]Alejandro Bellogín, Jun Wang, Pablo Castells:
Bridging memory-based collaborative filtering and text retrieval. Inf. Retr. 16(6): 697-724 (2013) - [c48]Shuai Yuan, Jun Wang, Xiaoxue Zhao:
Real-time bidding for online advertising: measurement and analysis. AdKDD@KDD 2013: 3:1-3:8 - [c47]Xiaoxue Zhao, Weinan Zhang, Jun Wang:
Interactive collaborative filtering. CIKM 2013: 1411-1420 - [c46]Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao:
To personalize or not: a risk management perspective. RecSys 2013: 229-236 - [c45]Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu:
Optimizing top-n collaborative filtering via dynamic negative item sampling. SIGIR 2013: 785-788 - [c44]Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou:
Bias-variance decomposition of ir evaluation. SIGIR 2013: 1021-1024 - [c43]Jagadeesh Gorla, Neal Lathia, Stephen Robertson, Jun Wang:
Probabilistic group recommendation via information matching. WWW 2013: 495-504 - [c42]Xiaoran Jin, Marc Sloan, Jun Wang:
Interactive exploratory search for multi page search results. WWW 2013: 655-666 - [i7]Marc Sloan, Jun Wang:
Iterative Expectation for Multi Period Information Retrieval. CoRR abs/1303.5250 (2013) - [i6]Shuai Yuan, Jun Wang, Xiaoxue Zhao:
Real-time Bidding for Online Advertising: Measurement and Analysis. CoRR abs/1306.6542 (2013) - [i5]Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli:
Multi-Keyword Multi-Click Option Contracts for Sponsored Search Advertising. CoRR abs/1307.4980 (2013) - 2012
- [c41]Shuai Yuan, Jun Wang:
Sequential selection of correlated ads by POMDPs. CIKM 2012: 515-524 - [c40]Guido Zuccon, Leif Azzopardi, Dell Zhang, Jun Wang:
Top-k Retrieval Using Facility Location Analysis. ECIR 2012: 305-316 - [c39]Yue Shi, Xiaoxue Zhao, Jun Wang, Martha A. Larson, Alan Hanjalic:
Adaptive diversification of recommendation results via latent factor portfolio. SIGIR 2012: 175-184 - [c38]Jinhui Chen, Wei Fang, Fanglei Sun, Peng Shang, Jun Wang:
Precoding with Known Transmit Coupling and Spatial Covariance Matrices. VTC Spring 2012: 1-4 - [c37]Craig Macdonald, Jun Wang, Charles L. A. Clarke:
2nd international workshop on diversity in document retrieval (DDR 2012). WSDM 2012: 769-770 - [c36]Tamas Jambor, Jun Wang, Neal Lathia:
Using control theory for stable and efficient recommender systems. WWW 2012: 11-20 - [c35]Marc Sloan, Jun Wang:
Dynamical information retrieval modelling: a portfolio-armed bandit machine approach. WWW (Companion Volume) 2012: 603-604 - [c34]Jun Wang, Bowei Chen:
Selling futures online advertising slots via option contracts. WWW (Companion Volume) 2012: 627-628 - [i4]Jagadeesh Gorla, Stephen Robertson, Jun Wang, Tamas Jambor:
A Theory of Information Matching. CoRR abs/1205.5569 (2012) - [i3]Shuai Yuan, Ahmad Zainal Abidin, Marc Sloan, Jun Wang:
Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users. CoRR abs/1206.1754 (2012) - 2011
- [j10]Craig Macdonald, Charles L. A. Clarke, Jun Wang:
The 1st international workshop on diversity in document retrieval. SIGIR Forum 45(2): 87-93 (2011) - [c33]Peng Zhang, Dawei Song, Jun Wang, Xiaozhao Zhao, Yuexian Hou:
On Modeling Rank-Independent Risk in Estimating Probability of Relevance. AIRS 2011: 13-24 - [c32]Alejandro Bellogín, Jun Wang, Pablo Castells:
Structured collaborative filtering. CIKM 2011: 2257-2260 - [c31]Jun Wang, Kevyn Collins-Thompson:
Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond. CIKM 2011: 2603-2604 - [c30]Alejandro Bellogín, Jun Wang, Pablo Castells:
Text Retrieval Methods for Item Ranking in Collaborative Filtering. ECIR 2011: 301-306 - [c29]Leszek Kaliciak, Jun Wang, Dawei Song, Peng Zhang, Yuexian Hou:
Contextual Image Annotation via Projection and Quantum Theory Inspired Measurement for Integration of Text and Visual Features. QI 2011: 217-222 - [c28]Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang:
Workshop on novelty and diversity in recommender systems - DiveRS 2011. RecSys 2011: 393-394 - [e2]Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang:
Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, DiveRS 2011, at the 5th ACM International Conference on Recommender Systems, RecSys 2011, Chicago, Illinois, USA, 23 October 2011. CEUR Workshop Proceedings 816, CEUR-WS.org 2011 [contents] - [i2]Jagadeesh Gorla, Stephen Robertson, Jun Wang:
A Unified Relevance Retrieval Model by Eliteness Hypothesis. CoRR abs/1106.2946 (2011) - 2010
- [j9]Jun Wang, Maarten Clements, Jie Yang, Arjen P. de Vries, Marcel J. T. Reinders:
Personalization of tagging systems. Inf. Process. Manag. 46(1): 58-70 (2010) - [c27]Dawei Song, Mounia Lalmas, Keith van Rijsbergen, Ingo Frommholz, Benjamin Piwowarski, Jun Wang, Peng Zhang, Guido Zuccon, Peter Bruza, Sachi Arafat, Leif Azzopardi, Emanuele Di Buccio, Alvaro Francisco Huertas-Rosero, Yuexian Hou, Massimo Melucci, Stefan M. Rüger:
How Quantum Theory Is Developing the Field of Information Retrieval. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes 2010 - [c26]Jun Wang, Dawei Song, Leszek Kaliciak:
Tensor Product of Correlated Textual and Visual Features: A Quantum Theory Inspired Image Retrieval Framework. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes 2010 - [c25]Jun Wang, Dawei Song, Peng Zhang, Yuexian Hou, Peter Bruza:
Explanation of Relevance Judgement Discrepancy with Quantum Interference. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes 2010 - [c24]Peng Zhang, Dawei Song, Yuexian Hou, Jun Wang, Peter Bruza:
Automata Modeling for Cognitive Interference in Users' Relevance Judgment. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes 2010 - [c23]Jun Wang, Dawei Song, Leszek Kaliciak:
RGU at ImageCLEF2010 Wikipedia Retrieval Task. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c22]Tamas Jambor, Jun Wang:
Goal-Driven Collaborative Filtering - A Directional Error Based Approach. ECIR 2010: 407-419 - [c21]Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu:
Laplacian Co-hashing of Terms and Documents. ECIR 2010: 577-580 - [c20]Tamas Jambor, Jun Wang:
Optimizing multiple objectives in collaborative filtering. RecSys 2010: 55-62 - [c19]Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu:
Self-taught hashing for fast similarity search. SIGIR 2010: 18-25 - [c18]Jun Wang, Jianhan Zhu:
On statistical analysis and optimization of information retrieval effectiveness metrics. SIGIR 2010: 226-233 - [i1]Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu:
Self-Taught Hashing for Fast Similarity Search. CoRR abs/1004.5370 (2010)
2000 – 2009
- 2009
- [c17]Jun Wang:
Language Models of Collaborative Filtering. AIRS 2009: 218-229 - [c16]Jun Wang, Shi Zhou, Dell Zhang:
Bridging the gap: complex networks meet information and knowledge management. CIKM 2009: 2113-2114 - [c15]Jun Wang:
Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval. ECIR 2009: 4-16 - [c14]Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar J. Cox:
Risk-Aware Information Retrieval. ECIR 2009: 17-28 - [c13]Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. Taylor:
Risky business: modeling and exploiting uncertainty in information retrieval. SIGIR 2009: 99-106 - [c12]Jun Wang, Jianhan Zhu:
Portfolio theory of information retrieval. SIGIR 2009: 115-122 - [c11]Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Cox:
Topic (query) selection for IR evaluation. SIGIR 2009: 802-803 - [p1]Jun Wang, Johan Pouwelse, Jenneke Fokker, Arjen P. de Vries, Marcel J. T. Reinders:
Personalization on a Peer-to-Peer Television System. Handbook of Multimedia for Digital Entertainment and Arts 2009: 91-113 - [e1]Jun Wang, Shi Zhou, Dell Zhang:
Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, CIKM-CNIKM 2009, Hong Kong, China, November 6, 2009. ACM 2009, ISBN 978-1-60558-807-0 [contents] - 2008
- [j8]Johan A. Pouwelse, Pawel Garbacki, Jun Wang, Arno Bakker, Jie Yang, Alexandru Iosup, Dick H. J. Epema, Marcel J. T. Reinders, Maarten van Steen, Henk J. Sips:
TRIBLER: a social-based peer-to-peer system. Concurr. Comput. Pract. Exp. 20(2): 127-138 (2008) - [j7]Jun Wang, Stephen Robertson, Arjen P. de Vries, Marcel J. T. Reinders:
Probabilistic relevance ranking for collaborative filtering. Inf. Retr. 11(6): 477-497 (2008) - [j6]Jun Wang, Johan A. Pouwelse, Jenneke Fokker, Arjen P. de Vries, Marcel J. T. Reinders:
Personalization on a peer-to-peer television system. Multim. Tools Appl. 36(1-2): 89-113 (2008) - [j5]Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders:
Unified relevance models for rating prediction in collaborative filtering. ACM Trans. Inf. Syst. 26(3): 16:1-16:42 (2008) - [c10]Youjin Chang, Jun Wang, Mounia Lalmas:
Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation. NLDB 2008: 136-141 - [r1]Arjen P. de Vries, Marcel J. T. Reinders, Jun Wang:
Wi-Fi Walkman. Encyclopedia of Wireless and Mobile Communications 2008 - 2006
- [j4]Mohan S. Kankanhalli, Jun Wang, Ramesh C. Jain:
Experiential Sampling in Multimedia Systems. IEEE Trans. Multim. 8(5): 937-946 (2006) - [j3]Mohan S. Kankanhalli, Jun Wang, Ramesh C. Jain:
Experiential Sampling on Multiple Data Streams. IEEE Trans. Multim. 8(5): 947-955 (2006) - [c9]Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders:
A User-Item Relevance Model for Log-Based Collaborative Filtering. ECIR 2006: 37-48 - [c8]Johan A. Pouwelse, Pawel Garbacki, Jun Wang, Arno Bakker, Jie Yang, Alexandru Iosup, Dick H. J. Epema, Marcel J. T. Reinders, Maarten van Steen, Henk J. Sips:
Tribler: A Social-Based Peer-to-Peer System. IPTPS 2006 - [c7]Jun Wang, Johan A. Pouwelse, Reginald L. Lagendijk, Marcel J. T. Reinders:
Distributed collaborative filtering for peer-to-peer file sharing systems. SAC 2006: 1026-1030 - [c6]Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders:
Unifying user-based and item-based collaborative filtering approaches by similarity fusion. SIGIR 2006: 501-508 - 2005
- [j2]Wei-Qi Yan, Jun Wang, Mohan S. Kankanhalli:
Automatic video logo detection and removal. Multim. Syst. 10(5): 379-391 (2005) - [j1]Wei-Qi Yan, Mohan S. Kankanhalli, Jun Wang:
Analogies based video editing. Multim. Syst. 11(1): 3-18 (2005) - [c5]Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, Johan A. Pouwelse:
Self-organizing distributed collaborative filtering. SIGIR 2005: 659-660 - 2004
- [c4]Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, Jasper Lindenberg, Mohan S. Kankanhalli:
Video content representation on tiny devices. ICME 2004: 1711-1714 - 2003
- [c3]Jun Wang, Radhakrishna S. V. Achanta, Mohan S. Kankanhalli, Philippe Mulhem:
A hierarchical framework for face tracking using state vector fusion for compressed video. ICASSP (3) 2003: 209-212 - [c2]Wei Qi Yan, Mohan S. Kankanhalli, Jun Wang, Marcel J. T. Reinders:
Experiential sampling for monitoring. ETP@MM 2003: 70-72 - [c1]Jun Wang, Mohan S. Kankanhalli:
Experience based sampling technique for multimedia analysis. ACM Multimedia 2003: 319-322
Coauthor Index
Haitham Bou-Ammar
aka: Haitham Ammar
aka: Haitham Ammar
[i193] [i191] [i182] [i181] [i180] [i179] [i178] [c177] [c175] [i173] [i158] [i152] [j41] [j40] [j35] [c162] [c158] [c155] [c149] [c147] [i148] [i147] [i144] [i143] [i134] [i129] [i122] [j31] [c143] [i117] [i116] [i115] [i107] [i104] [i89] [c123] [c116] [i82] [i76] [i73] [i69] [i68] [c95] [i56] [i50]
Stephen McAleer
aka: Stephen Marcus McAleer
aka: Stephen Marcus McAleer
David Mguni
aka: David Henry Mguni
aka: David Henry Mguni
[j59] [j58] [c195] [c194] [i195] [i194] [i192] [i186] [j56] [j55] [j54] [c183] [c180] [i175] [i170] [i166] [i162] [i160] [j33] [c166] [c163] [c160] [c146] [i137] [i135] [i133] [i118] [c143] [c135] [c133] [c131] [c130] [c128] [i116] [i112] [i108] [i106] [i105] [i96] [i86] [c116] [c113] [c112] [i78] [i73] [c102] [c100] [c99] [c97] [i66] [i65] [i63] [i60] [c89] [i39] [i32] [i30] [i28] [c68] [i16] [i13]
[j58] [c197] [i187] [j57] [j56] [j55] [j54] [j50] [c191] [c190] [c182] [c181] [c180] [i176] [i170] [i167] [i160] [j47] [j35] [c163] [c160] [c159] [c153] [c152] [c151] [c146] [i146] [i138] [i136] [i133] [i131] [i127] [i125] [i121] [c131] [c130] [c128] [c127] [i115] [i114] [i113] [i112] [i108] [i106] [i105] [i101] [i99] [i97] [i96] [i94] [i93] [i92] [i91] [i90] [i87] [i86] [i85] [i84] [c122] [c120] [c118] [c113] [c112] [c111] [i78] [i74] [i71] [c102] [c99] [c94] [i66] [i65] [i64] [i58] [i53] [c89] [c85] [c81] [i46] [i39] [i32] [i28]
[c192] [i196] [i190] [j54] [c188] [c179] [c172] [i168] [i161] [j38] [j34] [c156] [c154] [c145] [i141] [i126] [i120] [c125] [i111] [i109] [c119] [c114] [c110] [i83] [i79] [i72] [j27] [j21] [c93] [c92] [c90] [c88] [c86] [c83] [c80] [i47] [i44] [i43] [i41] [i36] [c79] [c78] [c77] [c74] [i34] [i33] [i30] [i29] [i28] [i27] [i25] [c73] [c68] [c65] [i15] [i13] [c45]
[j63] [c198] [c196] [c194] [c192] [i196] [i195] [i190] [i186] [i183] [j56] [j55] [j54] [c188] [c183] [c180] [c179] [c178] [c176] [c172] [i175] [i174] [i170] [i168] [i164] [i162] [i161] [i160] [i157] [j38] [j34] [c156] [c154] [c146] [c145] [i141] [i133] [i126] [i120] [i119] [i118] [c125] [i111] [i109] [i105] [i86] [c122] [c120] [c119] [c118] [c116] [c114] [c113] [c110] [i83] [i79] [i78] [i74] [i73] [i72] [j27] [c107] [c105] [c104] [c102] [i59] [i55] [i53] [j21] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c80] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i36] [j19] [c79] [c78] [c77] [c76] [c75] [c74] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [c73] [c72] [c71] [c70] [c68] [c67] [c65] [c63] [i24] [i23] [i19] [i18] [i16] [i15] [i14] [i13] [c57] [c56] [i12] [i11] [c51] [i9] [c47] [c46] [c45]
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