Junxue Zhang
Cited by
Cited by
Resilient datacenter load balancing in the wild
H Zhang, J Zhang, W Bai, K Chen, M Chowdhury
Proceedings of the Conference of the ACM Special Interest Group on Data …, 2017
Blended learning with Moodle in medical statistics: an assessment of knowledge, attitudes and practices relating to e-learning
L Luo, X Cheng, S Wang, J Zhang, W Zhu, J Yang, P Liu
BMC medical education 17, 1-8, 2017
Bridging the {Edge-Cloud} Barrier for Real-time Advanced Vision Analytics
Y Wang, W Wang, J Zhang, J Jiang, K Chen
11th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 19), 2019
Rethinking Transport Layer Design for Distributed Machine Learning
J Xia, G Zeng, J Zhang, W Wang, W Bai, J Jiang, K Chen
Proceedings of the 3rd Asia-Pacific Workshop on Networking 2019, 22-28, 2019
Enabling ECN for datacenter networks with RTT variations
J Zhang, W Bai, K Chen
Proceedings of the 15th International Conference on Emerging Networking …, 2019
Multi-objective congestion control
Y Ma, H Tian, X Liao, J Zhang, W Wang, K Chen, X Jin
Proceedings of the Seventeenth European Conference on Computer Systems, 218-235, 2022
Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints
J Shi, J Luo, F Dong, J Zhang, J Zhang
Cluster Computing 19, 167-182, 2016
VirtCo: joint coflow scheduling and virtual machine placement in cloud data centers
D Shen, J Luo, F Dong, J Zhang
Tsinghua Science and Technology 24 (5), 630-644, 2019
Quantifying the performance of federated transfer learning
Q Jing, W Wang, J Zhang, H Tian, K Chen
arXiv preprint arXiv:1912.12795, 2019
Rat-resilient allreduce tree for distributed machine learning
X Wan, H Zhang, H Wang, S Hu, J Zhang, K Chen
Proceedings of the 4th Asia-Pacific Workshop on Networking, 52-57, 2020
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data
D Chai, L Wang, J Zhang, L Yang, S Cai, K Chen, Q Yang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Sphinx: Enabling privacy-preserving online learning over the cloud
H Tian, C Zeng, Z Ren, D Chai, J Zhang, K Chen, Q Yang
2022 IEEE Symposium on Security and Privacy (SP), 2487-2501, 2022
Towards optimized scheduling for data‐intensive scientific workflow in multiple datacenter environment
J Zhang, M Wang, J Luo, F Dong, J Zhang
Concurrency and Computation: Practice and Experience 27 (18), 5606-5622, 2015
Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild
Z Huang, F Dong, D Shen, J Zhang, H Wang, G Cai, Q He
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021
A Survey on Vertical Federated Learning: From a Layered Perspective
L Yang, D Chai, J Zhang, Y Jin, L Wang, H Liu, H Tian, Q Xu, K Chen
arXiv preprint arXiv:2304.01829, 2023
Practical and Secure Federated Recommendation with Personalized Masks
L Yang, J Zhang, D Chai, L Wang, K Guo, K Chen, Q Yang
arXiv preprint arXiv:2109.02464, 2022
Appbag: Application-aware bandwidth allocation for virtual machines in cloud environment
D Shen, J Luo, F Dong, J Zhang
2016 45th International Conference on Parallel Processing (ICPP), 21-30, 2016
Federated singular vector decomposition
D Chai, L Wang, L Fu, J Zhang, K Chen, Q Yang
arXiv preprint arXiv:2105.08925, 2021
Spine: an efficient DRL-based congestion control with ultra-low overhead
H Tian, X Liao, C Zeng, J Zhang, K Chen
Proceedings of the 18th International Conference on emerging Networking …, 2022
Facilitating application-aware bandwidth allocation in the cloud with one-step-ahead traffic information
D Shen, J Luo, F Dong, J Jin, J Zhang, J Shen
IEEE Transactions on Services Computing 13 (2), 381-394, 2019
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