| 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 | 38 | 2020 |
| Tacc: A full-stack cloud computing infrastructure for machine learning tasks K Xu, X Wan, H Wang, Z Ren, X Liao, D Sun, C Zeng, K Chen arXiv preprint arXiv:2110.01556, 2021 | 32 | 2021 |
| Domain-specific communication optimization for distributed DNN training H Wang, J Chen, X Wan, H Tian, J Xia, G Zeng, W Wang, K Chen, W Bai, ... arXiv preprint arXiv:2008.08445, 2020 | 22 | 2020 |
| Efficient data-plane memory scheduling for in-network aggregation H Wang, Y Qin, CL Lao, Y Le, W Wu, K Chen arXiv preprint arXiv:2201.06398, 2022 | 20 | 2022 |
| Fine-grained probability counting for cardinality estimation of data streams L Wang, T Yang, H Wang, J Jiang, Z Cai, B Cui, X Li World Wide Web 22, 2065-2081, 2019 | 12 | 2019 |
| Towards {Domain-Specific} Network Transport for Distributed {DNN} Training H Wang, H Tian, J Chen, X Wan, J Xia, G Zeng, W Bai, J Jiang, Y Wang, ... 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 11 | 2024 |
| FID-sketch: An accurate sketch to store frequencies in data streams T Yang, H Zhang, H Wang, M Shahzad, X Liu, Q Xin, X Li World Wide Web 22, 2675-2696, 2019 | 11 | 2019 |
| Autobyte: Automatic configuration for optimal communication scheduling in dnn training Y Ma, H Wang, Y Zhang, K Chen IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 760-769, 2022 | 9 | 2022 |
| Fine-grained probability counting: Refined loglog algorithm L Wang, Z Cai, H Wang, J Jiang, T Yang, B Cui, X Li 2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018 | 9 | 2018 |
| Qcluster: Clustering packets for flow scheduling T Yang, J Li, Y Zhao, K Yang, H Wang, J Jiang, Y Zhang, N Zhang Proceedings of the ACM Web Conference 2022, 1752-1763, 2022 | 8 | 2022 |
| ID bloom filter: Achieving faster multi-set membership query in network applications P Liu, H Wang, S Gao, T Yang, L Zou, L Uden, X Li 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 5 | 2018 |
| Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation H Wang, Y Qin, CL Lao, Y Le, W Wu, K Chen 2023 IEEE 31th International Conference on Network Protocols (ICNP), 2023 | 4 | 2023 |
| Herald: An embedding scheduler for distributed embedding model training C Zeng, X Cheng, H Tian, H Wang, K Chen Proceedings of the 6th Asia-Pacific Workshop on Networking, 50-56, 2022 | 3 | 2022 |
| Automatic configuration for optimal communication scheduling in DNN training Y Ma, H Wang, Y Zhang, K Chen arXiv preprint arXiv:2112.13509, 2021 | 3 | 2021 |
| Accelerating Neural Recommendation Training with Embedding Scheduling C Zeng, X Liao, X Cheng, H Tian, X Wan, H Wang, K Chen 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 2 | 2024 |
| AutoPipe: Automatic Configuration of Pipeline Parallelism in Shared GPU Cluster J Hu, Y Liu, H Wang, J Wang Proceedings of the 53rd International Conference on Parallel Processing, 443-452, 2024 | 1 | 2024 |
Kai ChenProfessor, HKUSTVerified email at cse.ust.hk
