Chengwei Zhang

According to our database, Chengwei Zhang authored at least 26 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Opinion Dynamics in Gossiper-Media Networks Based on Multiagent Reinforcement Learning.

Chengwei Zhang, Dina Fang, Sandip Sen, Xiaohong Li, Zhiyong Feng, Wanli Xue, Dou An, Xintian Zhao, Rong Chen

IEEE Trans. Netw. Sci. Eng., 2023

2022

Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions.

Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen

IEEE Trans. Intell. Transp. Syst., 2022

Object-Aware Ghost Identification and Elimination for Dynamic Scene Mosaic.

Zhe Zhang, Xuhong Ren, Wanli Xue, Chengwei Zhang, Qing Guo, Shengyong Chen

IEEE Trans. Circuits Syst. Video Technol., 2022

Data Integrity Attack in Dynamic State Estimation of Smart Grid: Attack Model and Countermeasures.

Dou An, Feiye Zhang, Qingyu Yang, Chengwei Zhang

IEEE Trans Autom. Sci. Eng., 2022

SCC-rFMQ: a multiagent reinforcement learning method in cooperative Markov games with continuous actions.

Chengwei Zhang, Zhuobing Han, Bingfu Liu, Wanli Xue, Jianye Hao, Xiaohong Li, Dou An, Rong Chen

Int. J. Mach. Learn. Cybern., 2022

Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding.

Chengwei Zhang, Kangjie Zheng, Yu Tian, Wanli Xue, Tianpei Yang, Dou An, Yongqi Pi, Rong Chen

Neurocomputing, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.

Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Optimistic Exploration Based on Categorical-DQN for Cooperative Markov Games.

Yu Tian, Chengwei Zhang, Qing Guo, Kangjie Zheng, Wanqing Fang, Xintian Zhao, Shiqi Zhang

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

2021

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem.

Chengwei Zhang, Shan Jin, Wanli Xue, Xiaofei Xie, Shengyong Chen, Rong Chen

IEEE Trans. Veh. Technol., 2021

Dynamic pricing in profit-driven task assignment: a domain-of-influence based approach.

Zhifeng Zhou, Rong Chen, Can Wang, Chengwei Zhang

Int. J. Mach. Learn. Cybern., 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.

Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

MARL for Traffic Signal Control in Scenarios with Different Intersection Importance.

Liguang Luan, Yu Tian, Wanqing Fang, Chengwei Zhang, Wanli Xue, Rong Chen, Chen Sang

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

Coordination Between Individual Agents in Multi-Agent Reinforcement Learning.

Yang Zhang, Qingyu Yang, Dou An, Chengwei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes.

Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue, Zhiyong Feng

Auton. Agents Multi Agent Syst., 2019

2018

Adaptive Object Tracking via Multi-Angle Analysis Collaboration.

Wanli Xue, Zhiyong Feng, Chao Xu, Zhaopeng Meng, Chengwei Zhang

Sensors, 2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.

Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng, Wanli Xue, Rong Chen

CoRR, 2018

SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes.

Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue

CoRR, 2018

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space.

Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning.

Chengwei Zhang, Xiaohong Li, Jianye Hao, Sandip Sen, Wanli Xue, Zhiyong Feng

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.

Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Dynamically analyzing cell interactions in biological environments using multiagent social learning framework.

Chengwei Zhang, Xiaohong Li, Shuxin Li, Zhiyong Feng

J. Biomed. Semant., 2017

Defending Against Man-In-The-Middle Attack in Repeated Games.

Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes.

Xiaohong Li, Chengwei Zhang, Jianye Hao, Karl Tuyls, Siqi Chen, Zhiyong Feng

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Dynamic analysis of cell interactions in biological environments under multiagent social learning framework.

Chengwei Zhang, Xiaohong Li, Shuxin Li, Jianye Hao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014

Formal Modeling and Analysis of Fairness Characterization of E-Commerce Protocols.

Chengwei Zhang, Xiaohong Li, Jing Hu, Zhiyong Feng, Jiaojiao Song

J. Appl. Math., 2014