Chen Chen

Associate Professor, Doctoral Supervisor

chen.jpg

SEIEE 3-119, SJTU

chen-chen AT sjtu.edu.cn

I am a tenure-track associate professor in the John Hopcroft Center for Computer Science (affiliated under the School of Computer Science), Shanghai Jiao Tong University. At SJTU, I am also a member of Emerging Parallel Computing Center (EPCC). Prior to joining SJTU, I worked as a Researcher at Huawei Hong Kong Research Center (2012 Labs) from Aug. 2018 to Dec. 2021. I obtained my PhD degree in Department of Computer Science and Engineering from Hong Kong University of Science and Technology, under the supervision of Prof. Bo Li and Prof. Wei Wang. During my PhD studies, I also had a fantastic visiting experience at the University of Toronto under the supervision of Prof. Baochun Li. I obtained my Bachelor degree in 2014 from the Department of Automation, Tsinghua University.

My research aims at optimizing distributed systems supporting modern applications, with a special focus on machine learning applications in topics of Federated Learning, Deep Learning Scheduling and LLM Inference. I am particularly interested in identifying fundamental system challenges in these areas and investigating system solutions that are efficient and easy to use. I am always looking for self-motivated undergraduate, Master and PhD students. Feel free to drop me an email if you are interested.

News (more...)

Sep 05, 2025 One paper on attaining efficient and also fair scheduling for model training jobs accepted by ACM TACO.
Aug 19, 2025 One paper on serverless computing accepted by IEEE Transactions on Services Computing.
Jun 16, 2025 One paper accepted by VLDB.
Jun 14, 2025 Two papers respectively on LLM Agent Serving and Unified AI Caching released on Arxiv.
May 08, 2025 One paper on GPU serverless computing accepted by TACO.
Mar 27, 2025 Two papers respectively on LLM application scheduling and Federated Learning accepted by IEEE ICDCS.
Mar 22, 2025 One paper is accepted by ISCA.
Dec 21, 2024 One paper on GPU cluster scheduling is accepted by TACO.
Dec 20, 2024 One paper on GPU resource pooling is accepted by IPDPS 2025.
Dec 16, 2024 The RetrievalAttention work wins the best paper award of the 4th NeurIPS Workshop on Efficient Natural Language and Speech Processing.
Oct 10, 2024 The RetrievalAttention work is accepted by the 4th NeurIPS Workshop on Efficient Natural Language and Speech Processing (ENLSP).
Sep 16, 2024 RetrievalAttention on accelerating long-context LLM Inference is released on arXiv.

Teaching

  • SE3357, Operating System (for John Class), 2025Spring.
  • CS2951, Computer System I (for John Class), 2024Fall.
  • CS7331, Advanced Computer Architecture (for CS Postgraduates), 2024Fall.
  • SE3357, Operating System (for John Class), 2024Spring.
  • Head Teacher for John Hopcroft Class (john2332), 2023-2027.
  • CS7331, Advanced Computer Architecture (for CS Postgraduates), 2023Fall.
  • SE3357, Operating System (for John Class), 2023Spring.
  • COMP3511, Operating System (TA at HKUST), 2015-2017.

Honors

  • StarTrack Scholar, Microsoft Research Asia, 2023
  • Pujiang Talent, Shanghai, 2022
  • Huawei Innovation Pioneer, 2019H2, 2020H1, 2020H2
  • Postgraduate Studentship, HKUST, 2014-2018
  • Fellowship for Oversea Exchange, Tsinghua University, 2013
  • National Encouragement Scholarship, Tsinghua University, 2012.
  • Zheng Ge-ru Scholarship, Tsinghua University, 2011.
  • Outstanding Student, Henan Province, 2010.

Professional Services

  • Technical Program Committee for INFOCOM 2024, ICDCS 2023/2024/2025, IWQoS 2024, ICPADS 2024
  • Reviewer for TPDS, ToN, TCC, JSAC, TIFS
  • Web Chair for ICA3PP 2023
  • Student Travel Grant Chair for APNet 2023