Renzhe Xu   徐韧喆

Assistant Professor, Shanghai University of Finance and Economics
Email: xurenzhe [at] sufe [dot] edu [dot] cn
Office: 521, School of Information Management and Engineering
Curriculum Vitae (2024.09)

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Hi! I am a tenure-track assistant professor at Institute for Theoretical Computer Science, School of Information Management and Engineering, Shanghai University of Finance and Economics. I obtained my Ph.D. at Computer Science and Technology at Tsinghua University, advised by Prof. Peng Cui and Prof. Bo Li, and my B.E. at Computer Science and Technology at Tsinghua University. During the Spring Semester of 2024, I visited the Theory Group at the Department of Computer Science, Duke University, working with Prof. Kamesh Munagala.

Selected Publications

The full list of publications can be found in the research page.
* indicates equal contributions. (α-β) indicates alphabetical order.

  1. The Limits of Interval-Regulated Price Discrimination
    (α-β) Kamesh Munagala, Yiheng Shen, Renzhe Xu
    arXiv preprint arXiv:2406.06023
  2. Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
    Renzhe Xu*, Haotian Wang*, Xingxuan Zhang, Bo Li, Peng Cui
    In Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
    Code
  3. A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
    Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
    In Proceedings of the 39th International Conference on Machine Learning (ICML 2022)
  4. Regulatory Instruments for Fair Personalized Pricing
    Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
    In Proceedings of the ACM Web Conference 2022 (WWW 2022)
    Code Scientific American Montreal AI Ethics Institute

Teaching

  • 2024 Fall: Computer Programming (Economics)
  • 2024 Fall: Optimization theory and algorithm II

Services

  • Top reviewer: NeurIPS 2022 (10%)
  • Conference reviewer / Program committee: ICML (2022-2024), ICLR (2023-2025), NeurIPS (2022-2024), UAI (2022-2024), CVPR (2022-2024), ICCV (2023), ECCV (2022, 2024), KDD (2022-2024), WWW (2024), FAccT (2024), CLeaR (2024), AAAI (2022)
  • Journal reviewer: Games
  • Contributor of IEEE Standards Association 3198 Development Group - Standard for Evaluation Method of Machine Learning Fairness
Acknowledgments: based on Jekyll with al-folio theme by Maruan Al-Shedivat.