,王震教授 个人信息 王震，教授研究方向：群体智能决策、多模态认知计算 代表性论文ZhenWang,XiaoyueJin,TaoZhang,JiahaoLi,DengxiuYu,KangHaoCheong,CLPhilipChen.ExpertSystem-BasedMultiagentDeepDeterministicPolicyGradien...,王震 教授
研究方向：群体智能决策、多模态认知计算
Zhen Wang, Xiaoyue Jin, Tao Zhang, Jiahao Li, Dengxiu Yu, Kang Hao Cheong, CL Philip Chen. Expert System-Based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making. IEEE Transactions on Cybernetics (2022) DOI: 10.1109/TCYB.2022.3228578.
Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang*. Exploration in Deep Reinforcement Learning: From Single-Agent to Multi-Agent Domain. IEEE Transactions on Neural Networks and Learning Systems (2022) Aceepted.
Jia Long, Dengxiu Yu, Guoxing Wen, Li Li, Zhen Wang*, CL Philip Chen. Game-Based Backstepping Design for Strict-Feedback Nonlinear Multi-Agent Systems Based on Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems (2022) DOI: 10.1109/TNNLS.2022.3177461.
Zhen Wang, Zhao Song, Chen Shen, Shuyue Hu. Emergence of Punishment in Social Dilemma with Environmental Feedback Anonymous submission. the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) Accepted.
Chen Chu, Zheng Yuan, Shuyue Hu, Zhen Wang*. A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games. the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) Accepted.
Zhen Wang, Chunjiang Mu, Shuyue Hu, Chen Chu, Xuelong Li. Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach. 2022 the 31st International Joint Conference on Artificial Intelligence (IJCAI-22) 524-540.
Chen Chu, Yong Li, Jinzhuo Liu, Shuyue Hu, Xuelong Li, Zhen Wang*. A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs. 2022 the 31st International Joint Conference on Artificial Intelligence (IJCAI-22) 194-200.
Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang, Qi Xuan. A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation. 2022 In Proceedings of the ACM Web Conference (WWW) 1372-1380.
Xiangfeng Dai, Xuelong Li, Hao Guo, Danyang Jia, Matjaz Perc, Pouya Manshour, Zhen Wang*, Stefano Boccaletti. Discontinuous transitions and rhythmic states in the D-dimensional Kuramoto model induced by a positive feedback with the global order parameter. Physical Review Letters 125 (2020) 194101.
Zhen Wang*, Marko Jusup, Hao Guo, Lei Shi, Suncana Gecek, Madhur Anand, Matjaz Perc, Chris T. Bauchk, Jurgen Kurths, Stefano Boccaletti, Hans Joachim Schellnhuber. Communicating sentiment and outlook reverses inaction against collective risks. PNAS 117 (2020) 17650-17655.
Zhen Wang, Chunyu Wang, Xianghua Li, Chao Gao, Xuelong Li, Junyou Zhu. Evolutionary Markov Dynamics for Network Community Detection. IEEE Transactions on Knowledge and Data Engineering 34 (2022) 1206-1220.
Zhen Wang, Chunyu Wang, Chao Gao, Xuelong Li, Xianghua Li. An evolutionary autoencoder for dynamic community detection. Science China: Information Sciences 63 (2020) 1-16.
Zhen Wang*, Marko Jusup, , Joung-Hun Lee, Lei Shi, Yoh Iwasa, Stefano Boccaletti. Exploiting a cognitive bias promotes cooperation in social dilemma experiments. Nature Communications 9 (2018) 2954.
Xuelong Li, Marko Jusup, Zhen Wang*, H. Eugene Stanley, Shlomo Havlin, Stefano Boccaletti. Punishment diminishes the benefits of network reciprocity in social dilemma experiments. PNAS 115 (2018) 30-35.
Zhen Wang, Marko Jusup, Ruiwu Wang, Lei Shi, Yoh Iwasa, Yamir Moreno, Jurgen Kurths. Onymity promotes cooperation in social dilemma experiments. Science Advances 3 (2017) e1601444.
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