| A Unified Architecture for Accelerating Distributed {DNN} Training in Heterogeneous GPU/CPU Clusters Y Jiang, Y Zhu, C Lan, B Yi, Y Cui, C Guo 14th {USENIX} Symposium on Operating Systems Design and Implementation …, 2020 | 277 | 2020 |
| 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 | 21 | 2023 |
| Janus: A Unified Distributed Training Framework for Sparse Mixture-of-Experts Models J Liu, JH Wang, Y Jiang Proceedings of the ACM SIGCOMM 2023 Conference, 486-498, 2023 | 9 | 2023 |
| Adaptive Gating in Mixture-of-Experts based Language Models J Li, Q Su, Y Yang, Y Jiang, C Wang, H Xu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| Lita: Accelerating Distributed Training of Sparsely Activated Models J Li, Y Jiang, Y Zhu, C Wang, H Xu arXiv preprint arXiv:2210.17223, 2022 | 1 | 2022 |
| Teola: Towards End-to-End Optimization of LLM-based Applications X Tan, Y Jiang, Y Yang, H Xu arXiv preprint arXiv:2407.00326, 2024 | | 2024 |
| 分布式深度学习训练的通信加速 Y Jiang, Y Peng, Y Zhu, C Guo Communications of the CCF 17 (9), 50-57, 2021 | | 2021 |
Chuanxiong GuoSysnetome.com在 ieee.org 的电子邮件经过验证
