| Lyra: Elastic Scheduling for Deep Learning Clusters J Li, H Xu, Y Zhu, Z Liu, C Guo, C Wang Proceedings of the Eighteenth European Conference on Computer Systems, 835-850, 2023 | 20* | 2023 |
| Accelerating distributed {MoE} training and inference with lina J Li, Y Jiang, Y Zhu, C Wang, H Xu 2023 USENIX Annual Technical Conference (USENIX ATC 23), 945-959, 2023 | 13 | 2023 |
| ScaleFlux: Efficient stateful scaling in NFV L Liu, H Xu, Z Niu, J Li, W Zhang, P Wang, J Li, JC Xue, C Wang IEEE Transactions on Parallel and Distributed Systems 33 (12), 4801-4817, 2022 | 6 | 2022 |
| Bottleneck-aware non-clairvoyant coflow scheduling with Fai L Liu, C Gao, P Wang, H Huang, J Li, H Xu, W Zhang IEEE Transactions on Cloud Computing 11 (1), 1011-1025, 2021 | 6 | 2021 |
| Adaptive gating in mixture-of-experts based language models J Li, Q Su, Y Yang, Y Jiang, C Wang, H Xu Empirical Methods in Natural Language Processing (EMNLP) 2023, 3577–3587, 2023 | 2 | 2023 |
| Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data K Mo, C Chen, J Li, H Xu, CJ Xue 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 1 | 2021 |
| BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models J Li, L Xu, H Xu, A Akella arXiv preprint arXiv:2404.18322, 2024 | | 2024 |
Hong XuAssociate Professor, Computer Science and Engineering, Chinese University of Hong KongVerified email at cuhk.edu.hk
