The ShanghaiTech Multi-Agent Systems Research Team (SMART) is led by Prof. Dengji Zhao. The team’s research focuses are Artificial Intelligence, Multi-Agent Systems, Algorithmic Game Theory. We apply our theories into the domains of digital economy (blockchain), smart cities (EVs and driverless cars), the sharing economy (truthful information sharing/elicitation). We also extensively collaborate with the industry such as Mobike (China), DiDi (China), Skylock (US), Globechain (UK) and ShareTool.io (Slovenia).

Leader


Dengji Zhao

Tenure-track Assistant Professor

School of Information Science and Technology

ShanghaiTech University

Shanghai, China



Email: dengji.zhao@gmail.com

Homepage: dengji-zhao.net

Interests: Algorithmic Game Theory, Mechanism Design, Sharing Economy, and Artificial Intelligence

Members


Graduated Students


Recent Publications


Rui Wang, Xinyuan Lian, Dengji Zhao: Feedback Elicitation Mechanism Design. IEEE Access, 2019
Dengji Zhao, Bin Li, Junping Xu, Dong Hao, Nick Jennings: Selling Multiple Items via Social Networks. In the Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, 2018
Bin Li, Dong Hao, Dengji Zhao, Tao Zhou: Customer Sharing in Economic Networks with Costs. In the Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, 2018
Yao Zhang, He Wang, Jingxian Huang, Dengji Zhao: Simulations vs. Human Playing in Repeated Prisoner’s Dilemma. In the Proceedings of The 21st International Conference on Principles and Practice of Multi-Agent Systems, 2018
Bin Li, Dong Hao, Dengji Zhao, Tao Zhou: Mechanism Design in Social Networks. In the Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017