Peng Chen

About

I am a second-year Ph.D. student in the Department of Computer Science at Zhejiang University, advised by Prof. Shuiguang Deng, and I also have the privilege of working with Prof. Hailiang Zhao (ZJU) and Prof. Xueyan Tang (NTU, Singapore). My core interest lies in uncovering insights in theoretical algorithm design, with a broader interest in turning rigorous theoretical guarantees into real-world system improvements.

Current Research

Learning-Augmented Algorithms (main focus) Learning-Augmented Systems

Selected Publications

[ICML'26 Spotlight] Towards Optimal Robustness in Learning-Augmented Paging
Peng Chen, Hailiang Zhao*, Xueyan Tang, Yixuan Wang, Shuiguang Deng*
Abstract: This paper achieves the best possible robustness for learning-augmented paging. [arxiv]
[NeurIPS'25] Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
Peng Chen, Hailiang Zhao*, Jiaji Zhang, Xueyan Tang, Yixuan Wang, Shuiguang Deng*
Abstract: This paper improves robustness of ML-based paging algorithms while preserving 1-consistency. [arxiv]
[arXiv] Toward Robust and Efficient ML-Based GPU Caching for Modern Inference
Peng Chen, Jiaji Zhang, Hailiang Zhao*, Yirong Zhang, Shenyao Chen, Jiahong Yu, Xueyan Tang, Yixuan Wang, Hao Li, Jianping Zou, Gang Xiong, Kingsum Chow, Shuibing He, Shuiguang Deng*
Abstract: This paper explores ML for GPU caching systems with theoretical robustness guarantees.
[NeurIPS'24] Learning-Augmented Algorithms for the Bahncard Problem
Hailiang Zhao, Xueyan Tang*, Peng Chen, and Shuiguang Deng
Abstract: This paper proposes a robust learning-augmented algorithm for the Bahncard problem. [arxiv]

Awards

Feeds

Learning-augmented Algorithms Machine Learning for Systems Fun
Everything around us happens on this small planet called Earth
You are a crew.

Contact

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

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