| 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 | 257 | 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 | 93 | 2019 |
| 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), 170, 2017 | 83 | 2017 |
| 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 | 75 | 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 | 69 | 2022 |
| Enabling ECN for datacenter networks with RTT variations J Zhang, W Bai, K Chen Proceedings of the 15th International Conference on Emerging Networking …, 2019 | 69 | 2019 |
| Load balancing with multi-level signals for lossless datacenter networks J Hu, C Zeng, Z Wang, J Zhang, K Guo, H Xu, J Huang, K Chen IEEE/ACM Transactions on Networking 32 (3), 2736-2748, 2024 | 56 | 2024 |
| 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 | 54 | 2023 |
| 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 | 54 | 2022 |
| Sok: Fully homomorphic encryption accelerators J Zhang, X Cheng, L Yang, J Hu, X Liu, K Chen ACM Computing Surveys, 2022 | 53 | 2022 |
| A survey for federated learning evaluations: Goals and measures D Chai, L Wang, L Yang, J Zhang, K Chen, Q Yang IEEE transactions on knowledge and data engineering 36 (10), 5007-5024, 2024 | 52 | 2024 |
| 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 | 48 | 2020 |
| 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 | 44 | 2022 |
| 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 | 43 | 2022 |
| 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 | 41 | 2021 |
| 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 (1), 167-182, 2016 | 41 | 2016 |
| Quantifying the performance of federated transfer learning Q Jing, W Wang, J Zhang, H Tian, K Chen arXiv preprint arXiv:1912.12795, 2019 | 39 | 2019 |
| FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning J Zhang, X Cheng, W Wang, L Yang, J Hu, K Chen 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 35 | 2023 |
| 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 | 35 | 2019 |
| LiteFlow: towards high-performance adaptive neural networks for kernel datapath J Zhang, C Zeng, H Zhang, S Hu, K Chen Proceedings of the ACM SIGCOMM 2022 Conference, 414-427, 2022 | 29 | 2022 |
Kai ChenProfessor, HKUSTVerified email at cse.ust.hk
