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Conference Paper

  1. Towards the Full Extensibility of Multipath TCP with eMPTCP
    Bin Yang, Dian Shen, Junxue Zhang, Fang Dong, Junzhou Luo, John. C.S. Lui
    ICNP 2022 (To appear)
    [code]
  2. LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath
    Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
    SIGCOMM 2022
    [paper] [code]
  3. Practical Lossless Federated Singular Vector Decomposition Over Billion-Scale Data
    Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang
    KDD 2022
    [paper] [code]
  4. Multi-Objective Congestion Control
    Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
    EuroSys 2022
    [paper]
  5. Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
    Han Tian, Chaoliang Zeng, Zhenhang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang
    S&P 2022
    [paper]
  6. Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild
    Zhaowu Huang, Fang Dong, Dian Shen, Junxue Zhang, Huitian Wang, Guangxing Cai, Qiang He
    ICDCS 2021
    [paper]
  7. Enabling ECN for Datacenter Networks with RTT Variations
    Junxue Zhang, Wei Bai, Kai Chen
    CoNEXT 2019
    [paper] [code]
  8. Resilient Datacenter Load Balancing in the Wilds
    Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Chowdhury Mosharaf
    SIGCOMM 2017
    [paper] [code]

Journal Paper

Workshop Paper

  1. Practical and Secure Federated Recommendation with Personalized Masks
    Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kuo Guo, Kai Chen, Qiang Yang
    FL-IJCAI 2022
    [paper]
  2. Secure Forward Aggregation for Vertical Federated Neural Networks
    Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
    FL-IJCAI 2022
    [paper]
  3. Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
    Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen
    FL-IJCAI 2021 (Best Application Paper Award)
    [paper]
  4. Resilient Allreduce Tree for Distributed Machine Learning
    Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, Kai Chen
    APNet 2020
    [paper]
  5. Quantifying the Performance of Federated Transfer Learning
    Qinghe Jing, Weiyang Wang, Junxue Zhang, Han Tian, Kai Chen
    FL-IJCAI 2019 (Best Student Paper Award)
    [paper]
  6. Rethinking Transport Layer Design for Distributed Machine Learning
    Jiachen Xia, Gaoxiong Zeng, Junxue Zhang, Weiyang Wang, Wei Bai, Junchen Jiang, Kai Chen
    APNet 2019
    [paper]
  7. Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics
    Yiding Wang, Weiyang Wang, Junxue Zhang, Junchen Jiang, Kai Chen
    HotCloud 2019
    [paper]