Xinchen Wan

Network Engineer and Researcher, ByteDance, Seattle, WA

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Office: 601 108th Ave NE

Bellevue WA 98004

I am a Network Engineer and Researcher at ByteDance, working on building next-generation AI network. I received my Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology (HKUST) in 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, supervised by Prof. Song Wu.

Research Interests

  • AI Network
  • Machine Learning System
  • Hardware Acceleration
  • Datacenter Networking

News

Jul 12, 2025 Our short paper Hermod is accepted at SIGCOMM 2025.
Jul 12, 2025 One co-authored paper MixNet is accepted at SIGCOMM 2025.
Apr 25, 2025 One co-authored paper Pallas is accepted at ATC 2025.
Feb 11, 2025 PhD thesis defense passed!
Jan 28, 2025 One co-authored paper Harmonia is accepted at ASPLOS 2025.

Selected Publications

  1. __SIGCOMM__
    MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training
    Xudong Liao, Yijun Sun, Han Tian, Xinchen Wan, Yilun Jin, Zilong Wang, and 10 more authors
    In Proceedings of the ACM Special Interest Group on Data Communication (SIGCOMM) , 2025
    PDF
  2. ____ATC____
    Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping
    Xudong Liao, Han Tian, Xinchen Wan, Chaoliang Zeng, Hao Wang, Junxue Zhang, and 3 more authors
    In Proceedings of USENIX Annual Technical Conference (ATC) , 2025
    PDF
  3. __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 Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , 2025
    PDF
  4. __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 Proceedings of the IEEE International Conference on Computer Communications (INFOCOM) , 2025
    PDF
  5. __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 Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , 2025
    PDF
  6. __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 Proceedings of the 20th ACM European Conference on Computer Systems (EuroSys) , 2025
    PDF
  7. __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 Proceedings of the ACM Special Interest Group on Data Communication (SIGCOMM) , 2024
    PDF
  8. __EuroSys__
    Astraea: Towards Fair and Efficient Learning-based Congestion Control
    Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, and Kai Chen
    In Proceedings of the 19th ACM European Conference on Computer Systems (EuroSys) , 2024
    PDF
  9. ___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 Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI) , 2024
    PDF
  10. ___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 Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI) , 2024
    PDF
  11. __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 Proceedings of the ACM on Management of Data (SIGMOD) , 2023
    PDF
  12. ___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 Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI) , 2023
    PDF
  13. ___ICNP___
    DGS: Communication-Efficient Graph Sampling for Distributed GNN Training
    Xinchen Wan, Kai Chen, and Yiming Zhang
    In Proceedings of the 30th IEEE International Conference on Network Protocols (ICNP) , 2022
    PDF