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Prof. Zhen Wang (Fellow of IEEE/AAIA/IOP) Northwestern Polytechnical University, China Zhen Wang is a Distinguished Professor at Northwestern Polytechnical University (NPU), China, the Chair of School of Cybersecurity, an elected member of Academia Europaea/The Academy of Europe (AE), European Academy of Sciences and Arts (EASA), the National Science Fund of Distinguished Young Scholars, and a Fellow of IEEE/AAIA/IOP, a Highly Cited Researcher ranked by Clarivate Analytics. Focusing on artificial intelligence, multi-agent games, behavior patterns, he has published more than 100 papers, including PNAS, Nature Communications, Science Advances, Physical Review Letters, IEEE TPAMI, IEEE TNNLS, IEEE TCYB, IEEE TKDE, WWW, IJCAI, AAAI, NeurIPs, ICLR, ICML with total 28700 citations and H-index 69. Prof. Wang obtained the National Innovation Medal, National Five-ONE Medal, XPLORER Prize, and won the Most Downloaded Articles, the Most Cited Articles with Elsevier and Nature Publishing Group journals. He also serves as the editors of 10 scientific journals. Speech Title: "On the Advancement of Multi-Agent Games: From Theoretical and Experimental Perspectives" Abstract: One of the most elusive scientific challenges for over 150 years has been to explain why cooperation survives despite being a seemingly inferior strategy from an evolutionary point of view. Over the years, various theoretical scenarios aimed at solving the evolutionary puzzle of cooperation have been proposed, eventually identifying several cooperation-promoting mechanisms. Here, we will systematically survey the recent theoretical research combining game theory and reinforcement learning. In addition, we will also explore how human behaviors evolve in multi-agent games (including human-robot games).
Prof. Xindong Wu (Fellow of IEEE, AAAS, H-index: 87) Hefei University of Technology, China Xindong Wu is Director and Professor of the Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, and also Chief Scientist at the CEC Data Industry Group, China. His research interests include big data analytics, data mining and knowledge engineering. He received his Bachelor's and Master's degrees in Computer Science from the Hefei University of Technology, China, and his Ph.D. degree in Artificial Intelligence from the University of Edinburgh, Britain. He is a Foreign Member of the Russian Academy of Engineering, and a Fellow of IEEE and the AAAS (American Association for the Advancement of Science). Dr. Wu is the Steering Committee Chair of the IEEE International Conference on Data Mining (ICDM), and the Editor in-Chief of Knowledge and Information Systems (KAIS, by Springer). He was the Editor-in-Chief of the IEEE Transactions on Knowledge and Data Engineering (TKDE) between 2005 and 2008 and Co-Editor-in-Chief of the ACM Transactions on Knowledge Discovery from Data Engineering between 2017 and 2020. He served as a program committee chair/co-chair for ICDM 2003 (the 3rd IEEE International Conference on Data Mining), KDD 2007 (the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining), CIKM 2010 (the 19th ACM Conference on Information and Knowledge Management), and ICBK 2017 (the 8th IEEE International Conference on Big Knowledge).
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