Zichun Ye

Zichun Ye

Shanghai Jiao Tong University

I’m a second-year master student majored in Computer Science at Shanghai Jiao Tong University, under the supervision of Prof. Chihao Zhang. My research interests lie in the theoretical foundations of sequential decision-making under uncertainty, with a focus on online learning, bandit algorithms, and learning in games. I am particularly interested in problems such as multi-armed bandits in streaming settings, combinatorial bandits, and swap-regret minimization in game-theoretic environments. More broadly, I am interested in understanding how learning agents can adapt to uncertain, non-stationary, or adversarial environments while maintaining rigorous performance guarantees.

I also have a plan to seek Ph.D. opportunities for Fall 2027. Please feel free to reach out if you think my background aligns with your research!

🏫 Educations

Shanghai Jiao Tong University

B.Eng. in Computer Science and EngineeringSeptember 2020 - June 2024

  • GPA 90.77/100 (or 3.90/4.3).

Shanghai Jiao Tong University

MA.Eng. in Computer Science and EngineeringSeptember 2024 - March 2027 (Expected)

  • GPA 3.87/4.0.

📝 Publications

  • Understanding Memory-Regret Trade-Off for Streaming Stochastic Multi-Armed Bandits.
    Yuchen He, Zichun Ye, Chihao Zhang.
    In Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA 2025).

  • Tight Gap-Dependent Memory-Regret Trade-Off for Single-Pass Streaming Stochastic Multi-Armed Bandits.
    Zichun Ye, Chihao Zhang, Jiahao Zhao.
    In International Computing and Combinatorics Conference (COCOON 2025).

  • Near-Optimal Regret for Efficient Stochastic Combinatorial Semi-Bandits.
    Zichun Ye, Runqi Wang, Xutong Liu, Shuai Li.
    On Arxiv. [Paper]

  • Unlearning Offline Stochastic Multi-Armed Bandits.
    Zichun Ye*, Runqi Wang*, Xuchuang Wang, Mengfan Xu, Xutong Liu, Shuai Li, Mohammad Hajiesmaili.
    In submission.

👨‍🔬 Experiences

– Research Experience

  • Memory-Regret Trade-Off for Streaming Stochastic Multi-Armed Bandits May 2023 – March 2025
    Advisor: Prof. Chihao Zhang, SJTU.

  • Near-Optimal Regret for Efficient Stochastic Combinatorial Semi-Bandits March 2025 – August 2025
    Advisor: Prof. Xutong Liu, UW, Tacoma, Prof. Shuai Li, SJTU.

  • Unlearning Offline Stochastic Multi-Armed Bandits October 2025 – January 2026
    Advisor: Prof. Xutong Liu, UW, Tacoma, Prof. Mengfan Xu, UMass, Prof. Mohammad Hajiesmaili, UMass.

  • Swap Regret Minimization/Game Theory March 2026 – Present
    Advisor: Prof. Haipeng Luo, USC.

– Teaching Assistant

  • CS3958: Topics in Modern Algorithms, Fall 2023
    with Houshuang Chen, instructed by Chihao Zhang.

  • CS3936: Topics in Modern Algorithms, Fall 2024
    instructed by Chihao Zhang.

💻 Skills

  • Programming Languages: C++, Python, LaTex.
  • Technical Skills: Qt (software), MySQL (database).
  • Language: TOEFL 5.5 (107+/120, Reading 6, Listening 5.5, Speaking 5, Writing 5.5). GRE (157 VR 170 QR 4.0 AW).

🎖 Honors and Awards

  • COSCO First Class Scholarship October 2021

  • Huawei Scholarship October 2022

  • Zhiyuan Honor Scholarship (Top 10%) December 2021,2022,2023

  • Bosch Scholarship December 2025