Full Publications

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Conference Paper

1. Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead
   Han Tian, Xudong Liao, Chaoliang Zeng, Junxue Zhang, Kai Chen
   CoNEXT 2022 (To appear)
   
2. 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
   [paper] [code]
3. LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath
   Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
   SIGCOMM 202
   [paper] [code] [slides]
4. 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]
5. Multi-Objective Congestion Control
   Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
   EuroSys 2022
   [paper]
6. 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]
7. 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]
8. Enabling ECN for Datacenter Networks with RTT Variations
   Junxue Zhang, Wei Bai, Kai Chen
   CoNEXT 2019
   [paper] [code] [slides]
9. Resilient Datacenter Load Balancing in the Wilds
   Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Chowdhury Mosharaf
   SIGCOMM 2017
   [paper] [code]

Journal Paper

1. Enabling ECN for Datacenter Networks with RTT Variations
   Junxue Zhang, Wei Bai, Kai Chen
   IEEE Transactions on Cloud Computing 2022
   [paper][code]
2. Facilitating Application-aware Bandwidth Allocation in the Cloud with One-step-ahead Traffic Informations
   Dian Shen, Junzhou Luo, Fang Dong, Jiahui Jin, Junxue Zhang, Jun Shen
   IEEE Transactions on Services Computing 2019
   [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]