Wei Tang

About Me

I am an assistant professor in Department of Decisions, Operations and Technology of the Chinese University of Hong Kong. Before this, I was a postdoctoral fellow at the Data Science Institute, Columbia University, mentored by Shipra Agrawal. I completed my Ph.D. in Computer Science at Washington University in St. Louis, where I was fortunate to be advised by Chien-Ju Ho. I received my bachelor degree from Tianjin University, China.

I am interested in the theoretical aspects of the agentic decision-making, where humans, algorithms, or both act as decision-makers. A typtical question I explore is, for example, how to (efficiently) design or provide information/predictions to help humans/algorithms make desired decisions in complex environments.

My interests include sequential decision-making (with uncertainty), reinforcement learning, information design, socially responsible machine learning, and human-AI interaction. My research spans areas of machine learning, algorithmic economics, and behavioral (social) sciences.

Email: weitang at cuhk dot edu dot hk

What's New?

Conference Publications

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  • Services

    Conference Program Committees (or Formal Reviewer):
    • 2024: ICML, EC, NeurIPS, SODA, ISAAC
    • 2023: FAccT, ICML, NeurIPS
    • 2022: ICLR, ICML, FAccT, UAI, SAGT, NeurIPS, WINE
    • 2021: AAMAS, AAAI, AISTATS, NeurIPS
    Journal Referee:
    • Journal of Machine Learning Research (JMLR), Machine Learning Journal (MLJ), ACM Transactions on Economics and Computation (TEAC)
    • Operations Research (OR), Manufacturing & Service Operations Management (MSOM)
    • Games and Economic Behavior (GEB)
    • Journal of the American Statistical Association (JASA)

    Misc.

    It's also been my good fortune to be working with: Yatong Chen, Bolin Ding, Yiding Feng, Yang Liu, Saumik Narayanan, Zihe Wang, Haifeng Xu, Ming Yin, Guanghui Yu.