Junxue Zhang

66 papers A* 10A 8B 5Misc 2Journal 28Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands.
CoRR
Weiye Wang, Chen Chen, Junxue Zhang, Zhusheng Wang, Hui Yuan, Zixuan Guan, Xiaolong Zheng, Qizhen Weng, Yin Chen, Minyi Guo
2026 A conf
Learn-to-Probe: Achieving Signal Distinguishability in Learning-based Congestion Control.
EuroSys
Han Tian, Wenbo Li, Junxue Zhang, Xudong Liao, Decang Sun, Donghui Chen, Bin Huang, Wenxue Li, Yong Wang, Kai Chen
2026 J jnl
Towards Fair and Efficient Congestion Control Through Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Netw.
Han Tian, Xudong Liao, Chaoliang Zeng, Xinchen Wan, Junxue Zhang, Bing Xia, Kai Chen
2025 — conf
Accelerating Distributed Graph Learning by Using Collaborative In-Network Multicast and Aggregation.
USENIX ATC
Zhaoyi Li, Jiawei Huang, Yijun Li, Jingling Liu, Junxue Zhang, Hui Li, Xiaojun Zhu, Shengwen Zhou, Jing Shao, Xiaojuan Lu, Qichen Su, Jianxin Wang, Chee Wei Tan, Yong Cui, Kai Chen
2025 A conf
Achieving Fairness Generalizability for Learning-based Congestion Control with Jury.
EuroSys
Han Tian, Xudong Liao, Decang Sun, Chaoliang Zeng, Yilun Jin, Junxue Zhang, Xinchen Wan, Zilong Wang, Yong Wang, Kai Chen
2025 A* conf
CEIO: A Cache-Efficient Network I/O Architecture for NIC-CPU Data Paths.
SIGCOMM
Bowen Liu, Xinyang Huang, Qijing Li, Zhuobin Huang, Yijun Sun, Wenxue Li, Junxue Zhang, Ping Yin, Kai Chen
2025 — conf
Cache-Aware I/O Rate Control for RDMA.
APNet
Qijing Li, Xinyang Huang, Bowen Liu, Pengbo Li, Junxue Zhang, Kai Chen
2025 — conf
Design and Operation of Shared Machine Learning Clusters on Campus.
ASPLOS (1)
Kaiqiang Xu, Decang Sun, Hao Wang, Zhenghang Ren, Xinchen Wan, Xudong Liao, Zilong Wang, Junxue Zhang, Kai Chen
2025 A* conf
Enabling Efficient GPU Communication over Multiple NICs with FuseLink.
OSDI
Zhenghang Ren, Yuxuan Li, Zilong Wang, Xinyang Huang, Wenxue Li, Kaiqiang Xu, Xudong Liao, Yijun Sun, Bowen Liu, Han Tian, Junxue Zhang, Mingfei Wang, Zhizhen Zhong, Guyue Liu, Ying Zhang, Kai Chen
2025 J jnl
Enhancing Token Filtering Efficiency in Large Language Model Training with Collider.
CoRR
Di Chai, Pengbo Li, Feiyuan Zhang, Yilun Jin, Han Tian, Junxue Zhang, Kai Chen
2025 J jnl
FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration.
CoRR
Junxue Zhang, Xiaodian Cheng, Gang Cao, Meng Dai, Yijun Sun, Han Tian, Dian Shen, Yong Wang, Kai Chen
2025 Misc conf
GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters.
NSDI
Kaiqiang Xu, Decang Sun, Han Tian, Junxue Zhang, Kai Chen
2025 A* conf
Revisiting RDMA Reliability for Lossy Fabrics.
SIGCOMM
Wenxue Li, Xiangzhou Liu, Yunxuan Zhang, Zihao Wang, Wei Gu, Tao Qian, Gaoxiong Zeng, Shoushou Ren, Xinyang Huang, Zhenghang Ren, Bowen Liu, Junxue Zhang, Kai Chen, Bingyang Liu
2025 J jnl
Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data.
Proc. ACM Manag. Data
Kaiqiang Xu, Di Chai, Junxue Zhang, Fan Lai, Kai Chen
2025 J jnl
Swift: Rethinking RDMA Control Plane for Elastic Computing.
CoRR
Junxue Zhang, Han Tian, Xinyang Huang, Wenxue Li, Kaiqiang Xu, Dian Shen, Yong Wang, Kai Chen
2025 — conf
Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping.
USENIX ATC
Xudong Liao, Han Tian, Xinchen Wan, Chaoliang Zeng, Hao Wang, Junxue Zhang, Mengyu Ma, Guyue Liu, Kai Chen
2025 A conf
eNetSTL: Towards an In-kernel Library for High-Performance eBPF-based Network Functions.
EuroSys
Bin Yang, Dian Shen, Junxue Zhang, Hanlin Yang, Lunqi Zhao, Beilun Wang, Guyue Liu, Kai Chen
2024 J jnl
A Survey for Federated Learning Evaluations: Goals and Measures.
IEEE Trans. Knowl. Data Eng.
Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang
2024 A conf
Accelerating Privacy-Preserving Machine Learning With GeniBatch.
EuroSys
Xinyang Huang, Junxue Zhang, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai Hu, Han Tian, Kai Chen
2024 A* conf
Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA.
USENIX Security Symposium
Zhenghang Ren, Mingxuan Fan, Zilong Wang, Junxue Zhang, Chaoliang Zeng, Zhicong Huang, Cheng Hong, Kai Chen
2024 J jnl
Efficient DRL-Based Congestion Control With Ultra-Low Overhead.
IEEE/ACM Trans. Netw.
Han Tian, Xudong Liao, Chaoliang Zeng, Decang Sun, Junxue Zhang, Kai Chen
2024 — conf
Efficient Decentralized Federated Singular Vector Decomposition.
USENIX ATC
Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang
2024 A* conf
Fast, Scalable, and Accurate Rate Limiter for RDMA NICs.
SIGCOMM
Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, Qingsong Ning, Junxue Zhang, Kai Chen
2024 J jnl
High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Han Tian, Kai Chen
2024 J jnl
LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath.
IEEE/ACM Trans. Netw.
Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
2024 J jnl
Load Balancing With Multi-Level Signals for Lossless Datacenter Networks.
IEEE/ACM Trans. Netw.
Jinbin Hu, Chaoliang Zeng, Zilong Wang, Junxue Zhang, Kun Guo, Hong Xu, Jiawei Huang, Kai Chen
2024 J jnl
Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation.
IEEE Trans. Netw. Sci. Eng.
Jinghui Zhang, Dian Shen, Fang Dong, Kexi Kang, Jiahui Jin, Junzhou Luo, Junxue Zhang
2024 J jnl
PackVFL: Efficient HE Packing for Vertical Federated Learning.
CoRR
Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang
2024 J jnl
SoK: Fully Homomorphic Encryption Accelerators.
ACM Comput. Surv.
Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
2024 J jnl
eMPTCP: A Framework to Fully Extend Multipath TCP.
IEEE/ACM Trans. Netw.
Dian Shen, Bin Yang, Junxue Zhang, Fang Dong, John C. S. Lui
2023 J jnl
A Survey for Federated Learning Evaluations: Goals and Measures.
CoRR
Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang
2023 J jnl
A Survey on Vertical Federated Learning: From a Layered Perspective.
CoRR
Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen
2023 A* conf
Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion.
INFOCOM
Zhenghang Ren, Xiaodian Cheng, Mingxuan Fan, Junxue Zhang, Cheng Hong
2023 J jnl
Enabling ECN for Datacenter Networks With RTT Variations.
IEEE Trans. Cloud Comput.
Junxue Zhang, Wei Bai, Kai Chen
2023 B conf
Enabling Load Balancing for Lossless Datacenters.
ICNP
Jinbin Hu, Chaoliang Zeng, Zilong Wang, Junxue Zhang, Kun Guo, Hong Xu, Jiawei Huang, Kai Chen
2023 Misc conf
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning.
NSDI
Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen
2022 A* conf
LiteFlow: towards high-performance adaptive neural networks for kernel datapath.
SIGCOMM
Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
2022 A conf
Multi-objective congestion control.
EuroSys
Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
2022 A* conf
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data.
KDD
Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang
2022 — conf
Practical and Secure Federated Recommendation with Personalized Mask.
FL@IJCAI
Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang
2022 — conf
Secure Forward Aggregation for Vertical Federated Neural Networks.
FL@IJCAI
Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
2022 J jnl
Secure Forward Aggregation for Vertical Federated Neural Networks.
CoRR
Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
2022 J jnl
SoK: Fully Homomorphic Encryption Accelerators.
CoRR
Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
2022 A* conf
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud.
SP
Han Tian, Chaoliang Zeng, Zhenghang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang
2022 A conf
Spine: an efficient DRL-based congestion control with ultra-low overhead.
CoNEXT
Han Tian, Xudong Liao, Chaoliang Zeng, Junxue Zhang, Kai Chen
2022 B conf
Towards the Full Extensibility of Multipath TCP with eMPTCP.
ICNP
Bin Yang, Dian Shen, Junxue Zhang, Fang Dong, Junzhou Luo, John C. S. Lui
2021 J jnl
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning.
CoRR
Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen
2021 A conf
Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild.
ICDCS
Zhaowu Huang, Fang Dong, Dian Shen, Junxue Zhang, Huitian Wang, Guangxing Cai, Qiang He
2021 J jnl
Federated Singular Vector Decomposition.
CoRR
Di Chai, Leye Wang, Lianzhi Fu, Junxue Zhang, Kai Chen, Qiang Yang
2021 J jnl
Multi-Objective Congestion Control.
CoRR
Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
2020 J jnl
Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information.
IEEE Trans. Serv. Comput.
Dian Shen, Junzhou Luo, Fang Dong, Jiahui Jin, Junxue Zhang, Jun Shen
2020 — conf
RAT - Resilient Allreduce Tree for Distributed Machine Learning.
APNet
Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, Kai Chen
2019 — conf
Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics.
HotCloud
Yiding Wang, Weiyan Wang, Junxue Zhang, Junchen Jiang, Kai Chen
2019 A conf
Enabling ECN for datacenter networks with RTT variations.
CoNEXT
Junxue Zhang, Wei Bai, Kai Chen
2019 J jnl
Quantifying the Performance of Federated Transfer Learning.
CoRR
Qinghe Jing, Weiyan Wang, Junxue Zhang, Han Tian, Kai Chen
2019 — conf
Rethinking Transport Layer Design for Distributed Machine Learning.
APNet
Jiacheng Xia, Gaoxiong Zeng, Junxue Zhang, Weiyan Wang, Wei Bai, Junchen Jiang, Kai Chen
2017 J jnl
Enabling application-aware flexible graph partition mechanism for parallel graph processing systems.
Concurr. Comput. Pract. Exp.
Fang Dong, Junxue Zhang, Junzhou Luo, Dian Shen, Jiahui Jin
2017 A* conf
Resilient Datacenter Load Balancing in the Wild.
SIGCOMM
Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Mosharaf Chowdhury
2016 B conf
A client-side directory prefetching mechanism for GlusterFS.
SMC
Zijian Liu, Fang Dong, Junxue Zhang, Pengcheng Zhou, Zhuqing Xu, Junzhou Luo
2016 B conf
AppBag: Application-Aware Bandwidth Allocation for Virtual Machines in Cloud Environment.
ICPP
Dian Shen, Junzhou Luo, Fang Dong, Junxue Zhang
2016 — conf
ECStor: A Flexible Enterprise-Oriented Cloud Storage System Based on GlusterFS.
CBD
Pengcheng Zhou, Fang Dong, Zhuqing Xu, Junxue Zhang, Runqun Xiong, Junzhou Luo
2016 J jnl
Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints.
Clust. Comput.
Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang, Junxue Zhang
2015 — conf
Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph.
CBD
Junxue Zhang, Fang Dong, Dian Shen, Jiahui Jin, Junzhou Luo
2015 J jnl
Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment.
Concurr. Comput. Pract. Exp.
Jinghui Zhang, Mingjun Wang, Junzhou Luo, Fang Dong, Junxue Zhang
2014 — conf
Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers.
HPCC/CSS/ICESS
Dian Shen, Fang Dong, Junxue Zhang, Junzhou Luo
2014 B conf
Game theory based dynamic resource allocation for hybrid environment with cloud and big data application.
SMC
Junxue Zhang, Fang Dong, Dian Shen, Junzhou Luo