Jingkai He

Ph.D. candidate at IPADS and School of Artificial Intelligence, SJTU.

jk_photo.png

I am a first-year Ph.D. student in the Institute of Parallel and Distributed Systems (IPADS) and School of Artificial Intelligence (SAI) at Shanghai Jiao Tong University University, advised by Haibo Chen and Dong Du.

My research focuses on designing efficient training and inference systems for Large Language Models (LLMs) and developing high-performance operating systems (OS kernels).

Reach out to me at hjk020101@sjtu.edu.cn.

education

  • 2025.03 - Now
    Ph.D.
    School of Artificial Intelligence, Shanghai Jiao Tong University
    Computer Science and Engineering
  • 2023.09 - 2025.03
    Master
    School of Computer Science, Shanghai Jiao Tong University
    Computer Science and Engineering
  • 2019.09 - 2023.06
    Bachelor
    School of Software, Shanghai Jiao Tong University
    Software Engineering

publications

  1. ASPLOS’26
    History Doesn’t Repeat Itself but Rollouts Rhyme: Accelerating Reinforcement Learning with RhymeRL
    Jingkai He, Tianjian Li, Erhu Feng, and 5 more authors
    In Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS ’26), Pittsburgh, PA, USA, 2026
    DOI
  2. SOSP’25
    How to Copy Memory? Coordinated Asynchronous Copy as a First-Class OS Service
    Jingkai He, Yunpeng Dong, Dong Du, and 6 more authors
    In Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP’25), Seoul, Republic of Korea, 2025
    Awarded Best Paper, SOSP’25
    DOI
  3. SoCC’25
    Offloading Cloud-Native Infrastructure with XpuPod
    Bicheng Yang, Jingkai He, Dong Du, and 2 more authors
    In Proceedings of the 2025 ACM Symposium on Cloud Computing (SoCC ’25), Virtual Event, 2026
    DOI