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 interest mainly includes online learning for decision making, particularly multi-armed bandits (mab) with its variants, such as combinatorial mab, linear contextual bandits and mab in the streaming model. Furthermore, I read a series of theoretical works about online learning including RL theory and machine learning theory and develop a decent foundation. From the course “Topics in Modern Algorithms” offered by my instructor, I also have learnt some basic knowledge about high-dimensional probability and stochastic differential equation. I’m always eager to explore new areas and get fully prepared to embrace fresh challenges.

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), Rank 10/105
  • CET6: 604 (December 2021)

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.
    In submission.

  • 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 – Present
    Advisor: Prof. Xutong Liu, UW, Tacoma, Prof. Mengfan Xu, UMass, Prof. Mohammad Hajiesmaili, UMass.

– 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).

🎖 Honors and Awards

  • Bosch Scholarship December 2025

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

  • Huawei Scholarship October 2022

  • COSCO First Class Scholarship October 2021