About Me

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

Prior to MIT, I earned my Bachelor’s degree from Yao Class, Tsinghua in June 2024. 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 – check my publications or CV (PDF) for more information. I am open to other topics as well; feel free to shoot me an email if you’d like to chat!

Recent News

• Jan, 2025. Refined Best-of-Both-Worlds Heavy-Tailed MABs accepted to ICLR 2025!
• Sep, 2024. Adversarial Network Optimization under Bandit Feedback accepted to ACM SIGMETRICS 2025!
• Jun, 2024. Graduated from Tsinghua University with honor: awarded Outstanding Graduate by Beijing, by Tsinghua, and by Yao Class!
• 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 undergrads per year!
• Sep, 2023. Role of Normalization in SAM accepted to NeurIPS 2023!
• Sep, 2023. Awarded “Andrew C. Yao Award” Gold Medal by Yao Class – 1 student per year!
• Apr, 2023. Refined Adversarial Linear(-Q) MDPs and Banker-OMD Framework for Delayed Bandits accepted to ICML 2023!
• 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: Journal of Machine Learning (JMLR) 2024, Performance Evaluation 2024.
• Conference Reviewing: COLT 2025, ICML 2025 / 2023, NeurIPS 2024 / 2023 / 2022, ICLR 2025 / 2024, AISTATS 2025 / 2023 / 2022, ALT 2023.