About Me
Hi! I am a second-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.
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 recent research focuses on the intersection of Economics and Computer Science (EconCS), specifically resolving strategic behaviors in economic systems via online learning tools. I’m also broadly interested in learning theory topics, e.g., bandits, online learning, reinforcement learning theory, and deep learning theory.
Recent News
- Sep, 2025. Incentive-Aware Dynamic Resource Allocation under Constraints accepted to NeurIPS 2025.
- Jun, 2025. Adversarial Network Optimization under Bandit Feedback won Best Paper Award at ACM SIGMETRICS 2025 (link)!
- Jun, 2025. Incentive-Aware Dynamic Resource Allocation under Constraints won 1st Place in ACM Student Research Competition (SRC), SIGMETRICS 2025 (link)!
- May, 2025. Non-Monetary Mechanism Design without Distributions accepted to COLT 2025.
- Jan, 2025. Refined Best-of-Both-Worlds Heavy-Tailed MABs accepted to ICLR 2025 as a Spotlight Paper (5.1%).
- Dec, 2024. Adversarial Network Optimization under Bandit Feedback published in the ACM journal POMACS.
- 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 (10 undergrads per year) by Tsinghua!
- Sep, 2023. Role of Normalization in SAM accepted to NeurIPS 2023.
- Sep, 2023. Awarded “Andrew C. Yao Award” Gold Medal (1 per year) by Yao Class!
- 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), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Performance Evaluation.
- Conference Reviewing: COLT 2025, ICML 2025 / 2023, NeurIPS 2025 / 2024 / 2023 / 2022, ICLR 2025 / 2024, AISTATS 2025 / 2023 / 2022, AAAI 2026, ALT 2023.