CV

Education

The Chinese University of Hong Kong (CUHK), Hong Kong SAR, China (Aug 2024 – Present)
- Ph.D. in Computer Science and Engineering
- Supervisor: Prof. Hong Xu
- Research Interests: Machine Learning Systems (MLSys, AI Infrastructure)
Nanjing University (NJU), Nanjing, China (Sep 2020 – Jul 2024)
- B.Eng. in Software Engineering
- GPA: 4.46/5.0, 3.82/4.0 (WES Algorithm)
- First-class Scholarship × 3, Outstanding Student × 3, Outstanding Graduate of NJU

Broadly focused on machine learning systems design (AI Infra):

Distributed Machine Learning Systems: Efficient and scalable systems for LLM training, RL post-training, and inference, with emphasis on resource management, KV cache sharing, and performance simulation.
Resource Management and Scheduling: Resource allocation, workload scheduling, and scheduling algorithms for MLSys.

Huawei Technologies 2012 Laboratories (Jan 2026 – Aug 2026)
- University-Enterprise Collaboration
- Led research and development on Libra, a resource management system for agentic RL post-training.
- Designed global resource planner, elastic hybrid GPU worker pool, and tool-return-driven causal scheduler.
- Open-sourced Libra (200+ stars, 15+ forks).
Microsoft Research Asia (MSRA), Network Research Group (Nov 2023 – May 2024)
- Research Intern
- Researched BGP routing scalability, predicted route table growth trends using multi-layer LSTM, and developed simulation tests for datacenter networking devices.
Meituan (Jun 2023 – Aug 2023)
- Software Engineer Intern

Kaiwen Chen, Xin Tan, Jingzong Li, Hong Xu. “Libra: Efficient Resource Management for Agentic RL Post-Training”, in arXiv Preprint, June 2026. [arXiv] [Code]
Kaiwen Chen, Xin Tan, Minchen Yu, Jingzong Li, Hong Xu. “ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing”, IEEE/ACM International Symposium on Quality of Service (IWQoS), 2026. [arXiv]
Yicheng Feng, Kin Hang Sew, Yuetao Chen, Kaiwen Chen, Jingzong Li, Tianyuan Wu, Zheng Zhou, Peng Cheng, Chuan Wu, Wei Wang, Tsung-Yi Ho, Hong Xu. “Scalable and Efficient Simulation of LLM Training”, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2026. [arXiv] [Code]

Teaching Assistant: CSCI 3150, Introduction to Operating Systems, CUHK (Fall 2024)
Teaching Assistant: CSCI 3320, Fundamentals of Machine Learning, CUHK (Spring 2025)
Teaching Assistant: CSCI 2040, Introduction to Python, CUHK (Fall 2025)
Teaching Assistant: CSCI 3320, Fundamentals of Machine Learning, CUHK (Spring 2026)