About Me

Hi! I have just graduated from IIIS, Tsinghua (a.k.a. Yao Class, directed by the Turing Award Laureate Andrew Chi-Chih Yao), earning a Bachelor of Engineering in Computer Science and Technology. I am extremely grateful to Prof. Longbo Huang, Prof. Haipeng Luo, Prof. Simon S. Du, and Prof. Suvrit Sra who introduced me to the world of learning theory!

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

• Jun, 2024. Graduated from Tsinghua University with honor: awarded Outstanding Graduate by Beijing Ministry of Education, by Tsinghua University, and by IIIS!
• May, 2024. Refined Sample Complexity for Linear Markov Games accepted to COLT 2024!
• May, 2024. Adam is FTRL in Disguise accepted to ICML 2024!
• 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: NeurIPS 2024 / 2023 / 2022, ICLR 2024, ICML 2023, ALT 2023, AISTATS 2023 / 2022.