About Me

Hi! I am a first-year PhD student at Operations Research Center (ORC), MIT where I am fortunate enough to be advised by Prof. Patrick Jaillet. I am also affiliated with Laboratory for Information and Decision Systems (LIDS), MIT.

Prior to MIT, I graduated from Yao Class, Tsinghua in June 2024 and earned 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, especially Reinforcement Learning Theory and Deep Learning Theory – check my publications or CV (PDF) for more information. I am open to other topics, so feel free to reach out if you’d 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 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, 10 students per year!
• Sep, 2023. 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 Adversarial Linear(-Q) MDPs and Banker-OMD Framework for Delayed Bandits accepted to ICML 2023!
• Feb, 2023. Visiting Prof. Suvrit Sra @ MIT LIDS!
• Jan, 2023. Variance-Aware Sparse Linear Bandits accepted to ICLR 2023!
• Sep, 2022. FTPL in Adversarial MDPs accepted to NeurIPS 2022!
• May, 2022. Best-of-Both-Worlds Heavy-Tailed MABs accepted to ICML 2022!

Professional Services

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