1. [NeurIPS 2025] Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
2. [NeurIPS 2024] Learning-Augmented Algorithms for the Bahncard Problem
Awards:
- NeurIPS 2025 Scholar Award
- 2016 ACM-ICPC Asia Regional Contest (China-Final), Gold Medal
Research Experience
Worked at Alibaba Cloud, focusing on distributed systems and congestion control algorithms.
Education
Ph.D. student in Computer Science at Zhejiang University, advised by Prof. Shuiguang Deng, with co-advisors Profs. Hailiang Zhao and Xueyan Tang (NTU).
Background
Research Interests: Theoretical foundations of robust decision-making across generalized AI+X domains (e.g., AI+Systems), with an emphasis on algorithmic design. Previously, worked at Alibaba Cloud on distributed systems and congestion control algorithms.
Miscellany
Interests include following the latest developments in learning-augmented algorithms, theoretical computing, and related fields.