Xinchen Wan

CSE PhD, HKUST, Hong Kong SAR, China

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I obtained my Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology (HKUST) in February 2025, supervised by Prof. Kai Chen. Before that, I received my B.Eng degree in Computer Science from Huazhong University of Science and Technology (HUST) in 2018.

Research Interests

  • Machine Learning System
  • Hardware Acceleration
  • Datacenter Networking

News

Feb 11, 2025 PhD thesis defense passed!
Jan 28, 2025 One co-authored paper Harmonia is accepted at ASPLOS 2025.
Dec 6, 2024 Our paper Leo is accepted at INFOCOM 2025.
Oct 3, 2024 One co-authored paper SING is accepted at ASPLOS 2025.
Aug 21, 2024 One co-authored paper Jury is accepted at EuroSys 2025.

Selected Publications

  1. __ASPLOS__
    Harmonia: A Unified Framework for Heterogeneous FPGA Acceleration in the Cloud
    Luyang Li, Heng Pan, Xinchen Wan, Kai Lv, Zilong Wang, Qian Zhao, and 6 more authors
    In Proc. ACM ASPLOS, 2025
    PDF
  2. __INFOCOM__
    A Generic and Efficient Communication Framework for Message-level In-Network Computing
    Xinchen Wan, Luyang Li, Han Tian, Xudong Liao, Xinyang Huang, Chaoliang Zeng, and 7 more authors
    In Proc. IEEE INFOCOM, 2025
    PDF
  3. __ASPLOS__
    Design and Operation of Shared Machine Learning Clusters on Campus
    Kaiqiang Xu, Decang Sun, Hao Wang, Zhenghang Ren, Xinchen Wan, Xudong Liao, and 3 more authors
    In Proc. ACM ASPLOS, 2025
    PDF
  4. __EuroSys__
    Achieving Fairness Generalizability for Learning-based Congestion Control with Jury
    Han Tian, Xudong Liao, Decang Sun, Chaoliang Zeng, Yilun Jin, Junxue Zhang, and 4 more authors
    In Proc. ACM EuroSys, 2025
    PDF
  5. __SIGCOMM__
    Fast, Scalable, and Accurate Rate Limiter for RDMA NICs
    Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, and 3 more authors
    In Proc. ACM SIGCOMM, 2024
    PDF
  6. __EuroSys__
    Astraea: Towards Fair and Efficient Learning-based Congestion Control
    Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, and Kai Chen
    In Proc. ACM EuroSys, 2024
    PDF
  7. ___NSDI___
    Accelerating Neural Recommendation Training with Embedding Scheduling
    Chaoliang Zeng, Xudong Liao, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, and 1 more author
    In Proc. USENIX NSDI, 2024
    PDF
  8. ___NSDI___
    Towards Domain-Specific Network Transport for Distributed DNN Training
    Hao Wang, Han Tian, Jingrong Chen, Xinchen Wan, Jiacheng Xia, Gaoxiong Zeng, and 4 more authors
    In Proc. USENIX NSDI, 2024
    PDF
  9. __SIGMOD__
    Scalable and Efficient Full-Graph GNN Training for Large Graphs
    Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, and Xin Jin
    In Proc. ACM SIGMOD, 2023
    PDF
  10. ___NSDI___
    SRNIC: A scalable architecture for RDMA NICs
    Zilong Wang, Layong Luo, Qingsong Ning, Chaoliang Zeng, Wenxue Li, Xinchen Wan, and 5 more authors
    In Proc. USENIX NSDI, 2023
    PDF
  11. ___ICNP___
    DGS: Communication-Efficient Graph Sampling for Distributed GNN Training
    Xinchen Wan, Kai Chen, and Yiming Zhang
    In Proc. IEEE ICNP, 2022
    PDF
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