About Me

Hi! I am a final-year (senior) undergrad majoring in Computer Science and Technology at IIIS, Tsinghua (a.k.a. Yao Class, directed by the Turing Award Laureate Andrew Chi-Chih Yao).

My research interests lie broadly in Learning Theory, e.g., Reinforcement Learning Theory and Deep Learning Theory. Check my publications and CV (PDF) for more information!

I am also open to other topics. Feel free to reach out if you would like to chat!

Recent News

• Nov, 2023. Awarded Presidential Scholarship by Tsinghua!
• Sep, 2023. Crucial Role of Normalization in SAM accepted to NeurIPS 2023!
• Sep, 2023. Awarded “Andrew C. Yao Award” Gold Medal by IIIS, Tsinghua!
• Jun, 2023. Visiting Prof. Simon S. Du @ UW Paul G. Allen School!
• Apr, 2023. Refined Regret for Adversarial Linear(-Q) MDPs and Banker-OMD Framework for Bandits with Delayed Feedback accepted to ICML 2023!
• Feb, 2023. Visiting Prof. Suvrit Sra @ MIT LIDS!
• Jan, 2023. Variance-Aware Sparse Linear Bandits accepted to ICLR 2023!
• Dec, 2022. Awarded SenseTime Scholarship by SenseTime!
• Oct, 2022. Awarded National Scholarship by Ministry of Education!
• Sep, 2022. FTPL in Adversarial MDPs with Bandit Feedback accepted to NeurIPS 2022!
• May, 2022. Best-of-Both-Worlds Heavy-Tailed MABs accepted to ICML 2022!
• Oct, 2021. Awarded “12·9” Scholarship by Tsinghua!

Professional Services

• Conference Reviewing: ICLR 2024, NeurIPS 2023, ICML 2023, ALT 2023, AISTATS 2023, NeurIPS 2022, AISTATS 2022.