John Jiaosu Wu is a member of Standards Group of Artificial Intellgence Alliance of Chinese Academy of Sciences(AIACAS), a research follow of Smale Institute of Mathematics and Computation, and an expert of many research programs, i.e.,  "Incomplete Information Game Theory" of New Generation Artificial Intelligence of Ministry of Science and Technology of China(MOST),  "Ethical Criterion of Artificial Intelligence" of Cyberspace Administration of China (CAC), "Artificial Intelligence Ethics" of Academic Divisions of Chinese Academy of Sciences(CASAD), etc.

His research focuses on an Innovative area of Mathematical foudation of artificial intelligence---Gamedynamics, which brings together game-theoretical logic, game-theoretical learning(i.e. deep reinforcement learning), neuroscience, robotics, and applies to harmonic learning, automatic calibrated learning, federated learning, etc. Inspired by John von Neumann and Robert Aumann, he has been developing a general theoretical framework of Strategic Correlativity Priciple(SCP) and Graceful AI Theory over recent 17 years. in addition to more than 30 articles and working papers, he is co-author of four books.

He was an invited (keynote) speaker  and a program committee member and (co)organizer in many academic conferences. He serves as a member of many scientific organiztions, including Chinese Association for Artificial Intelligence, China Computer  Fedration, China Society for Industrial and Applied Mathematics, Operation Research Society of China, etc.