Paul Weng

Associate Professor of Electrical and Computer Engineering, Duke Kunshan University

His main research work lies in artificial intelligence (AI) and machine learning. Notably, it focuses on adaptive control (reinforcement learning, Markov decision process), multi-objective optimization (compromise programming, fair optimization), and preference handling (representation, elicitation, and learning). 

His teaching interests at Duke Kunshan include AI, machine learning, algorithms.

Before joining academia, he was a financial quantitative analyst in London, UK. As a researcher, he regularly publishes in top AI and machine learning venues (e.g., IJCAI, AAAI, ICML…). He has served as an area chair at AAAI and ECAI. Several of his papers received a best paper award (e.g., MIWAI, ALA). His work has been funded both by public funding agencies (NSFC, Shanghai NSF) and private companies (Yahoo, Huawei, Netease).

Paul Weng received a French engineer degree in statistics from ENSAI (National School of Statistics and Information Analysis), Bruz, France. He has a M.S. and Ph.D. in AI from Sorbonne Université, Paris, France. He was a regular or visiting faculty member of many universities (Sorbonne Université, Carnegie Mellon University, Sun Yat-sen University, Shanghai Jiao Tong University, University of Nottingham Ningbo China). Before joining Duke Kunshan, he was an associate professor at the University of Michigan-Shanghai Jiao Tong University Joint Institute.



0512- 36657593