Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers. - Dian Shen; Fang Dong 001; Junxue Zhang 001; Junzhou Luo (HPCC/CSS/ICESS, 2014)

Game theory based dynamic resource allocation for hybrid environment with cloud and big data application. - Junxue Zhang 001; Fang Dong 001; Dian Shen; Junzhou Luo (SMC, 2014)

Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph. - Junxue Zhang 001; Fang Dong 001; Dian Shen; Jiahui Jin; Junzhou Luo (CBD, 2015)

Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment. - Jinghui Zhang; Mingjun Wang; Junzhou Luo; Fang Dong 001; Junxue Zhang 001 (Concurr. Comput. Pract. Exp., 2015)

ECStor: A Flexible Enterprise-Oriented Cloud Storage System Based on GlusterFS. - Pengcheng Zhou; Fang Dong 001; Zhuqing Xu; Junxue Zhang 001; Runqun Xiong; Junzhou Luo (CBD, 2016)

AppBag: Application-Aware Bandwidth Allocation for Virtual Machines in Cloud Environment. - Dian Shen; Junzhou Luo; Fang Dong 001; Junxue Zhang 001 (ICPP, 2016)

A client-side directory prefetching mechanism for GlusterFS. - Zijian Liu; Fang Dong 001; Junxue Zhang 001; Pengcheng Zhou; Zhuqing Xu; Junzhou Luo (SMC, 2016)

Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints. - Jiyuan Shi; Junzhou Luo; Fang Dong 001; Jinghui Zhang; Junxue Zhang 001 (Clust. Comput., 2016)

Resilient Datacenter Load Balancing in the Wild. - Hong Zhang 025; Junxue Zhang 001; Wei Bai 001; Kai Chen 005; Mosharaf Chowdhury (SIGCOMM, 2017)

Enabling application-aware flexible graph partition mechanism for parallel graph processing systems. - Fang Dong 001; Junxue Zhang 001; Junzhou Luo; Dian Shen; Jiahui Jin (Concurr. Comput. Pract. Exp., 2017)

Rethinking Transport Layer Design for Distributed Machine Learning. - Jiacheng Xia; Gaoxiong Zeng; Junxue Zhang 001; Weiyan Wang; Wei Bai 001; Junchen Jiang; Kai Chen 005 (APNet, 2019)

Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics. - Yiding Wang; Weiyan Wang; Junxue Zhang 001; Junchen Jiang; Kai Chen 005 (HotCloud, 2019)

Quantifying the Performance of Federated Transfer Learning. - Qinghe Jing; Weiyan Wang; Junxue Zhang 001; Han Tian; Kai Chen 005 (CoRR, 2019)

RAT - Resilient Allreduce Tree for Distributed Machine Learning. - Xinchen Wan; Hong Zhang 025; Hao Wang 116; Shuihai Hu; Junxue Zhang 001; Kai Chen 005 (APNet, 2020)

Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information. - Dian Shen; Junzhou Luo; Fang Dong 001; Jiahui Jin; Junxue Zhang 001; Jun Shen 001 (IEEE Trans. Serv. Comput., 2020)

Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild. - Zhaowu Huang; Fang Dong 001; Dian Shen; Junxue Zhang 001; Huitian Wang; Guangxing Cai; Qiang He 001 (ICDCS, 2021)

Federated Singular Vector Decomposition. - Di Chai; Leye Wang; Lianzhi Fu; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (CoRR, 2021)

Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning. - Cengguang Zhang; Junxue Zhang 001; Di Chai; Kai Chen 005 (CoRR, 2021)

Spine: an efficient DRL-based congestion control with ultra-low overhead. - Han Tian; Xudong Liao; Chaoliang Zeng; Junxue Zhang 001; Kai Chen 005 (CoNEXT, 2022)

Multi-objective congestion control. - Yiqing Ma; Han Tian; Xudong Liao; Junxue Zhang 001; Weiyan Wang; Kai Chen 005; Xin Jin 008 (EuroSys, 2022)

Towards the Full Extensibility of Multipath TCP with eMPTCP. - Bin Yang 027; Dian Shen; Junxue Zhang 001; Fang Dong 001; Junzhou Luo; John C. S. Lui (ICNP, 2022)

Secure Forward Aggregation for Vertical Federated Neural Networks. - Shuowei Cai; Di Chai; Liu Yang 008; Junxue Zhang 001; Yilun Jin; Leye Wang; Kun Guo 003; Kai Chen 005 (FL@IJCAI, 2022)

Practical and Secure Federated Recommendation with Personalized Mask. - Liu Yang 008; Junxue Zhang 001; Di Chai; Leye Wang; Kun Guo 003; Kai Chen 005; Qiang Yang 001 (FL@IJCAI, 2022)

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. - Di Chai; Leye Wang; Junxue Zhang 001; Liu Yang 008; Shuowei Cai; Kai Chen 005; Qiang Yang 001 (KDD, 2022)

LiteFlow: towards high-performance adaptive neural networks for kernel datapath. - Junxue Zhang 001; Chaoliang Zeng; Hong Zhang 025; Shuihai Hu; Kai Chen 005 (SIGCOMM, 2022)

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. - Han Tian; Chaoliang Zeng; Zhenghang Ren; Di Chai; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (SP, 2022)

Enabling Load Balancing for Lossless Datacenters. - Jinbin Hu; Chaoliang Zeng; Zilong Wang 007; Junxue Zhang 001; Kun Guo 003; Hong Xu 001; Jiawei Huang 001; Kai Chen 005 (ICNP, 2023)

Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion. - Zhenghang Ren; Xiaodian Cheng; Mingxuan Fan; Junxue Zhang 001; Cheng Hong 001 (INFOCOM, 2023)

FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning. - Junxue Zhang 001; Xiaodian Cheng; Wei Wang; Liu Yang 008; Jinbin Hu; Kai Chen 005 (NSDI, 2023)

A Survey on Vertical Federated Learning: From a Layered Perspective. - Liu Yang 008; Di Chai; Junxue Zhang 001; Yilun Jin; Leye Wang; Hao Liu 026; Han Tian; Qian Xu; Kai Chen 005 (CoRR, 2023)

Enabling ECN for Datacenter Networks With RTT Variations. - Junxue Zhang 001; Wei Bai 001; Kai Chen 005 (IEEE Trans. Cloud Comput., 2023)

Accelerating Privacy-Preserving Machine Learning With GeniBatch. - Xinyang Huang; Junxue Zhang 001; Xiaodian Cheng; Hong Zhang 025; Yilun Jin; Shuihai Hu; Han Tian; Kai Chen 005 (EuroSys, 2024)

Fast, Scalable, and Accurate Rate Limiter for RDMA NICs. - Zilong Wang 007; Xinchen Wan; Luyang Li; Yijun Sun; Peng Xie; Xin Wei; Qingsong Ning; Junxue Zhang 001; Kai Chen 005 (SIGCOMM, 2024)

Efficient Decentralized Federated Singular Vector Decomposition. - Di Chai; Junxue Zhang 001; Liu Yang 008; Yilun Jin; Leye Wang; Kai Chen 005; Qiang Yang 001 (USENIX ATC, 2024)

Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA. - Zhenghang Ren; Mingxuan Fan; Zilong Wang 007; Junxue Zhang 001; Chaoliang Zeng; Zhicong Huang; Cheng Hong 001; Kai Chen 005 (USENIX Security Symposium, 2024)

PackVFL: Efficient HE Packing for Vertical Federated Learning. - Liu Yang 008; Shuowei Cai; Di Chai; Junxue Zhang 001; Han Tian; Yilun Jin; Kun Guo 003; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation. - Jinghui Zhang; Dian Shen; Fang Dong 001; Kexi Kang; Jiahui Jin; Junzhou Luo; Junxue Zhang 001 (IEEE Trans. Netw. Sci. Eng., 2024)

LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath. - Junxue Zhang 001; Chaoliang Zeng; Hong Zhang 025; Shuihai Hu; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

Load Balancing With Multi-Level Signals for Lossless Datacenter Networks. - Jinbin Hu; Chaoliang Zeng; Zilong Wang 007; Junxue Zhang 001; Kun Guo 003; Hong Xu 001; Jiawei Huang 001; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

Efficient DRL-Based Congestion Control With Ultra-Low Overhead. - Han Tian; Xudong Liao; Chaoliang Zeng; Decang Sun; Junxue Zhang 001; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning. - Junxue Zhang 001; Xiaodian Cheng; Liu Yang 008; Jinbin Hu; Han Tian; Kai Chen 005 (IEEE Trans. Parallel Distributed Syst., 2024)

A Survey for Federated Learning Evaluations: Goals and Measures. - Di Chai; Leye Wang; Liu Yang 008; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

SoK: Fully Homomorphic Encryption Accelerators. - Junxue Zhang 001; Xiaodian Cheng; Liu Yang 008; Jinbin Hu; Ximeng Liu; Kai Chen 005 (ACM Comput. Surv., 2024)

eMPTCP: A Framework to Fully Extend Multipath TCP. - Dian Shen; Bin Yang 027; Junxue Zhang 001; Fang Dong 001; John C. S. Lui (IEEE/ACM Trans. Netw., 2024)

Design and Operation of Shared Machine Learning Clusters on Campus. - Kaiqiang Xu; Decang Sun; Hao Wang 116; Zhenghang Ren; Xinchen Wan; Xudong Liao; Zilong Wang 007; Junxue Zhang 001; Kai Chen 005 (ASPLOS (1), 2025)

Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. - Han Tian; Xudong Liao; Decang Sun; Chaoliang Zeng; Yilun Jin; Junxue Zhang 001; Xinchen Wan; Zilong Wang 007; Yong Wang 046; Kai Chen 005 (EuroSys, 2025)

eNetSTL: Towards an In-kernel Library for High-Performance eBPF-based Network Functions. - Bin Yang 027; Dian Shen; Junxue Zhang 001; Hanlin Yang; Lunqi Zhao; Beilun Wang; Guyue Liu; Kai Chen 005 (EuroSys, 2025)

GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters. - Kaiqiang Xu; Decang Sun; Han Tian; Junxue Zhang 001; Kai Chen 005 (NSDI, 2025)

Enabling Efficient GPU Communication over Multiple NICs with FuseLink. - Zhenghang Ren; Yuxuan Li; Zilong Wang 007; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Xudong Liao; Yijun Sun; Bowen Liu; Han Tian; Junxue Zhang 001; Mingfei Wang; et al. (OSDI, 2025)

Accelerating Distributed Graph Learning by Using Collaborative In-Network Multicast and Aggregation. - Zhaoyi Li; Jiawei Huang 001; Yijun Li 002; Jingling Liu; Junxue Zhang 001; Hui Li; Xiaojun Zhu; Shengwen Zhou; Jing Shao; Xiaojuan Lu; Qichen Su; Jianxin Wang 001; et al. (USENIX ATC, 2025)

Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping. - Xudong Liao; Han Tian; Xinchen Wan; Chaoliang Zeng; Hao Wang 116; Junxue Zhang 001; Mengyu Ma; Guyue Liu; Kai Chen 005 (USENIX ATC, 2025)

FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration. - Junxue Zhang 001; Xiaodian Cheng; Gang Cao; Meng Dai; Yijun Sun; Han Tian; Dian Shen; Yong Wang 046; Kai Chen 005 (CoRR, 2025)

Swift: Rethinking RDMA Control Plane for Elastic Computing. - Junxue Zhang 001; Han Tian; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Dian Shen; Yong Wang 046; Kai Chen 005 (CoRR, 2025)

Enhancing Token Filtering Efficiency in Large Language Model Training with Collider. - Di Chai; Pengbo Li; Feiyuan Zhang; Yilun Jin; Han Tian; Junxue Zhang 001; Kai Chen 005 (CoRR, 2025)

Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data. - Kaiqiang Xu; Di Chai; Junxue Zhang 001; Fan Lai 001; Kai Chen 005 (Proc. ACM Manag. Data, 2025)