Zhen Wang
Also known as Wang Zhen
Zhen Wang is a professor at Northwestern Polytechnical University whose research on evolutionary games, networks and multi-agent systems examines how cooperation arises among humans and AI agents. After serving as a JSPS senior researcher at Kyushu University from 2014 to 2016, he joined Northwestern Polytechnical as a professor in December 2016, and MIT Technology Review named him to its 2017 Innovators Under 35 list for China. His papers include a 2015 study of universal scaling for the dilemma strength in evolutionary games, behavioral experiments on human cooperation published in 2017 and 2018, and 2022 and 2023 conference papers on the learning dynamics of agent populations. Academia Europaea elected him in 2019, he became an IEEE Fellow in 2023, and the International Association for Pattern Recognition named him a Fellow in 2024 for contributions to behavior patterns of AI agents and humans. In 2026, he received the Tan Kah Kee Young Scientist Award in Information Technical Sciences for work at the intersection of game theory and artificial intelligence.
Timeline
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2014–2016
Researcher at Kyushu University
From 2014 to 2016, he is a JSPS senior researcher at Kyushu University in Japan. In 2015, he and coauthors publish “Universal scaling for the dilemma strength in evolutionary games” in Physics of Life Reviews, a paper that transforms diverse evolutionary games into a unified geometry of conflict and cooperation.
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2016–2017
Joining Northwestern Polytechnical University
He becomes a professor at Northwestern Polytechnical University in December 2016. In 2017, he takes an honorary professorship at the Complex Systems Center Maribor of the University of Maribor in Slovenia, and MIT Technology Review names him to its Innovators Under 35 list for China for his network science work on multilayer coupled networks.
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2017–2018
Human cooperation experiments
In 2017, he and coauthors publish “Onymity promotes cooperation in social dilemma experiments” in Science Advances. In 2018, he is first author of a Nature Communications experiment in which human volunteers playing a repeated prisoner’s dilemma cooperate more when a decoy option is added.
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2019–2020
Elected to Academia Europaea
In 2019, he is elected to Academia Europaea. In 2020, he is elected a member of the National Natural Science Fund for Distinguished Young Scholars and of the Global Young Academy, where he serves until 2025.
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2022–2023
Regret minimization in agent populations
In 2022, he presents a master-equation model of regret minimization in large agent populations at IJCAI, written with Chunjiang Mu, Shuyue Hu, Chen Chu and Xuelong Li. In 2023, he publishes two AAAI papers: one on the emergence of punishment in social dilemmas with environmental feedback, and one with Chen Chu and others on a pair-approximation method for the dynamics of multi-agent stochastic games.
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2023–2024
IEEE and IAPR fellowships
He becomes an IEEE Fellow in 2023. In 2024, the International Association for Pattern Recognition names him a Fellow for contributions to behavior patterns of AI agents and humans, as well as their applications.
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2025–2026
Tan Kah Kee Young Scientist Award
In 2025, his team at the School of Cyberspace Security publishes “Social networking agency and prosociality are inextricably linked in economic games” in Nature Human Behaviour; participants given greater network agency show more prosocial behavior in prisoner’s dilemma, trust and ultimatum games. In 2026, he receives the Tan Kah Kee Young Scientist Award in Information Technical Sciences for work at the intersection of game theory and artificial intelligence, and he coauthors a National Science Review paper showing that LLM agents overcome the machine penalty in human–machine interaction when they act fairly.
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As of October 2026
Professor in cyberspace security
He is a professor at Northwestern Polytechnical University, affiliated with the School of Cyberspace Security and the School of Artificial Intelligence, Optics and Electronics (iOPEN). His research directions are artificial intelligence, reinforcement learning, multi-agent games, pattern recognition and networks.
Career
- Since 2016Northwestern Polytechnical UniversityProfessor
- From 2017University of MariborHonorary Professor
- 2014–2016Kyushu UniversitySenior researcher
Sources and credits
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- Academy of Europe: Wang Zhen
- Game Theory Meets Artificial Intelligence: Intelligence as Interaction
- Zhen Wang | Innovators Under 35
- Exploiting a cognitive bias promotes cooperation in social dilemma experiments
- Zhen Wang - Global Young Academy
- Zhen Wang, Professor - Institute of Optoelectronics and Intelligence (iOPEN), Northwestern Polytechnical University
- Chronological List of IAPR Fellows
- Zhen Wang - Google Scholar
- Professor Wang Zhen's Team from School of Cyberspace Security Makes New Progress in Large-Scale Behavioral Game with Multi-Strategy Decision-Making
- Social networking agency and prosociality are inextricably linked in economic games




