Full Publications

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^* indicates equal contribution and ^# indicates corresponding author.

Preprints

1. ____arXiv____

   SoK: Fully Homomorphic Encryption Accelerators

   Junxue Zhang^*, Xiaodian Cheng^*, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen

   arXiv::2212.01713, 2022
   paper | docker

Conference Paper

1. ___EuroSys___

   Accelerating Privacy-Preserving Machine Learning With GeniBatch

   Xinyang Huang, Junxue Zhang^#, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai Hu, Han Tian, Kai Chen^#

   In Proceedings of the 19th European Conference on Computer Systems, 2024 (to appear)

   paper | code
2. ___Security___

   Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA

   Zhenghang Ren, Mingxuan Fan, Zilong Wang, Junxue Zhang, Chaoliang Zeng, Zhicong Huang, Cheng Hong, Kai Chen

   In Proceedings of the 32nd USENIX Security Symposium, 2024

   paper | usenix page
3. ____ICNP____

   Enabling Load Balancing for Lossless Datacenters

   Jinbin Hu, Chaoliang Zeng, Zilong Wang, Junxue Zhang, Kun Guo, Hong Xu, Jiawei Huang, Kai Chen

   In Proceedings of the 31th IEEE International Conference on Network Protocols, 2023 (Best Paper Award)

   paper | award certificate
4. ____NSDI____

   FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning

   Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen

   In Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

   paper | usenix page | slides | video
5. __INFOCOM__

   Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion

   Zhenghang Ren, Xiaodian Cheng, Mingxuan Fan, Junxue Zhang, Cheng Hong

   In Proceedings of IEEE International Conference on Computer Communications, 2023

   paper | ieee dl
6. __SIGCOMM__

   LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath

   Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen

   In Proceedings of the ACM SIGCOMM 2022 Conference, 2022

   paper | acm dl | code | slides | video | extended version
7. ___CoNEXT___

   Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead

   Han Tian, Xudong Liao, Chaoliang Zeng, Junxue Zhang, Kai Chen

   In Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022

   paper | acm dl
8. ____ICNP____

   Towards the Full Extensibility of Multipath TCP with eMPTCP

   Bin Yang, Dian Shen, Junxue Zhang, Fang Dong, Junzhou Luo, John. C.S. Lui

   In Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

   paper | ieee dl | code
9. ____KDD____

   Practical Lossless Federated Singular Vector Decomposition Over Billion-Scale Data

   Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang

   In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022

   paper | acm dl | code
10. ___EuroSys___

    Multi-Objective Congestion Control

    Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin

    In Proceedings of the 17th European Conference on Computer Systems, 2022

    paper | acm dl
11. ___Oakland___

    Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud

    Han Tian, Chaoliang Zeng, Zhenhang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang

    In Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

    paper | ieee dl
12. ____ICDCS____

    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

    In Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

    paper | ieee dl
13. ___CoNEXT___

    Enabling ECN for Datacenter Networks with RTT Variations

    Junxue Zhang, Wei Bai, Kai Chen

    In Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

    paper | acm dl | code | slides | extended version
14. __SIGCOMM__

    Resilient Datacenter Load Balancing in the Wilds

    Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Chowdhury Mosharaf

    In Proceedings of the ACM SIGCOMM 2017 Conference, 2017

    paper | acm dl | code

Journal Paper

1. ____TON____

   LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath (extended version)

   Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen

   IEEE/ACM Transactions on Networking, 2023, Early Accesss

   paper | ieee dl | code
2. ____TON____

   Efficient DRL-based Congestion Control with Ultra-low Overhead (extended version)

   Han Tian, Xudong Liao, Chaoliang Zeng, Decang Sun, Junxue Zhang, Kai Chen

   IEEE/ACM Transactions on Networking, 2023 (to appear)

3. ____TCC____

   Enabling ECN for Datacenter Networks with RTT Variations (extended version)

   Junxue Zhang, Wei Bai, Kai Chen

   IEEE Transactions on Cloud Computing, 2022, Volume: 11, Issue: 3

   paper | ieee dl | code
4. ____TSC____

   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, Volume: 13, Issue: 2

   paper | ieee dl

Workshop Paper

1. __FL-IJCAL__

   Practical and Secure Federated Recommendation with Personalized Masks

   Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kuo Guo, Kai Chen, Qiang Yang

   In International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI, 2022

   paper
2. __FL-IJCAL__

   Secure Forward Aggregation for Vertical Federated Neural Networks

   Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen

   In International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI, 2022

   paper
3. __FL-IJCAL__

   Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning

   Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen

   In International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI, 2021 (Best Application Paper Award)

   paper | award certificate
4. ____APNet____

   RAT - Resilient Allreduce Tree for Distributed Machine Learning

   Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, Kai Chen

   In Proceedings of the 4th Asia-Pacific Workshop on Networking, 2020

   paper | acm dl
5. __FL-IJCAL__

   Quantifying the Performance of Federated Transfer Learning

   Qinghe Jing, Weiyang Wang, Junxue Zhang, Han Tian, Kai Chen

   International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI, 2019 (Best Student Paper Award)

   paper | award certificate
6. ____APNet____

   Rethinking Transport Layer Design for Distributed Machine Learning

   Jiachen Xia, Gaoxiong Zeng, Junxue Zhang, Weiyang Wang, Wei Bai, Junchen Jiang, Kai Chen

   In Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019

   paper | acm dl
7. __HotCloud__

   Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics

   Yiding Wang, Weiyang Wang, Junxue Zhang, Junchen Jiang, Kai Chen

   In Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019

   paper | usenix page