Publications

Publications by categories in reversed chronological order.

2025

  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

2024

  1. __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
  2. __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
  3. ___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
  4. ___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

2023

  1. __APNET__
    Accurate and Scalable Rate Limiter for RDMA NICs
    Zilong Wang, Xinchen Wan, Chaoliang Zeng, and Kai Chen
    In Proc. ACM APNet, 2023
    PDF
  2. __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
  3. ___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

2022

  1. ___ICNP___
    DGS: Communication-Efficient Graph Sampling for Distributed GNN Training
    Xinchen Wan, Kai Chen, and Yiming Zhang
    In Proc. IEEE ICNP, 2022
    PDF

2021

  1. ___ArXiv___
    Tacc: A full-stack cloud computing infrastructure for machine learning tasks
    Kaiqiang Xu, Xinchen Wan, Hao Wang, Zhenghang Ren, Xudong Liao, Decang Sun, and 2 more authors
    arXiv preprint arXiv:2110.01556, 2021
    PDF

2020

  1. ___ArXiv___
    Domain-specific communication optimization for distributed DNN training
    Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, and 4 more authors
    arXiv preprint arXiv:2008.08445, 2020
    PDF
  2. __APNET__
    Rat-resilient allreduce tree for distributed machine learning
    Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, and Kai Chen
    In Proc. ACM APNet, 2020
    PDF
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