Peng Chen

About

I am a Ph.D. student in Computer Science at Zhejiang University, advised by Prof. Shuiguang Deng, and co-advised by Profs. Hailiang Zhao and Xueyan Tang (NTU). My research focuses on discovering interesting and insightful ideas in algorithm design, and developing new algorithms together with systems.

Research

Learning-Augmented Algorithms Learning-Augmented Systems

Selected Publications

[NeurIPS 2025] Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
Peng Chen, Hailiang Zhao*, Jiaji Zhang, Xueyan Tang, Yixuan Wang, Shuiguang Deng*
Abstract: This paper proposes a lightweight framework named Guard that efficiently improves the robustness of a broad class of ML-based caching algorithms while preserving their 1-consistency.
[NeurIPS 2024] Learning-Augmented Algorithms for the Bahncard Problem
Hailiang Zhao, Xueyan Tang*, Peng Chen, and Shuiguang Deng
Abstract: This paper introduces PFSUM, a learning-augmented algorithm that leverages both historical data and short-term future information to enhance online decision-making.

Awards

Feeds

Learning-augmented Algorithms Machine Learning for Systems

Interests

Some cosmic photos. Everything around us happens on this small planet called Earth.

A visualization of the cosmos

Contact

Feel free to reach out if you’d like to discuss papers, algorithms, or potential collaborations.

Email: naturechenpeng@gmail.com, pgchen@zju.edu.cn