Ying Wen

Ying Wen

Assistant Professor

John Hopcroft Center for Copumter Science

Shanghai Jiao Tong University


Ying Wen is now a tenure-track assistant professor in John Hopcroft Center, Shanghai Jiao Tong University. His research interests include deep learning and deep reinforcement learning techniques for real-world scenarios, such as computational advertising, recommender systems, multi-agent system. He pursued his PhD in the Department of Computer Science, University College London. Before that, Ying earned his MRes(Master of Research) with Distinction Honor from University College London in 2016 and B.Eng. with First Class Honor from Queen Mary, University of London and Beijing University of Posts and Tel. in 2015. He was an intern at MediaGamma, Amazon and Baidu.

Recent News

  • [06/2020] One paper on Diverse MAL accepted in ICML 2020.
  • [05/2020] One paper on Multi-Agent Recursive Reasoning accepted in IJCAI 2020.

Recent Publications

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Multi-Agent Determinantal Q-Learning. ICML, 2020.

Code Arxiv

A Regularized Opponent Model with Maximum Entropy Objective. IJCAI, 2019.

Preprint PDF Code

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. ICLR, 2019.

Preprint PDF Code Poster

A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS, 2018.

PDF Code Arxiv




A Muti-agent Learning Framework.

Recent & Upcoming Talks

Communication in Multi-agent Reinforcement Learning

Most successful researches on reinforcement learning have been in single agent domain. However, many complex reinforcement learning …