Jibang Wu

I am a PhD student at the Sigma Lab@UChicago, advised by Prof. Haifeng Xu. Prior to UChicago, I received my BS/MS degree at UVA in 2019, where I worked on recommendation algorithms with Prof. Hongning Wang.

My current research lies at the interface between game theory, learning theory and optimization, with the primary focus on modeling and solving multi-agent decision-making problems under uncertainty.

More recently, I am especially curious at the sparks of intelligence from LLMs. I am looking forward to developing practical techniques to 1) enhance their strategic intelligence and reasoning skills, 2) align their economic incentives with users, advertisers, data & services providers.

Let’s connect and chat!

Selected Publications

  1. EC 2023
    Robust Stackelberg Equilibria
    Jiarui Gan, Minbiao Han, Jibang Wu, and Haifeng Xu
    In Proceedings of the 24th ACM Conference on Economics and Computation, 2023
  2. EC 2022
    Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning
    Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, and Haifeng Xu
    In Proceedings of the 23rd ACM Conference on Economics and Computation, 2022