| Galvatron: Efficient transformer training over multiple gpus using automatic parallelism X Miao, Y Wang, Y Jiang, C Shi, X Nie, H Zhang, B Cui arXiv preprint arXiv:2211.13878, 2022 | 29 | 2022 |
| Degnn: Improving graph neural networks with graph decomposition X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 25 | 2021 |
| Degnn: characterizing and improving graph neural networks with graph decomposition X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, Y Shan, ... arXiv preprint arXiv:1910.04499, 2019 | 4 | 2019 |
| Improving Automatic Parallel Training via Balanced Memory Workload Optimization Y Wang, Y Jiang, X Miao, F Fu, S Zhu, X Nie, Y Tu, B Cui IEEE Transactions on Knowledge and Data Engineering, 2024 | 1 | 2024 |
| Graph Neural Network Training Acceleration for Multi-GPUs 苗旭鹏， 王驭捷， 沈佳， 邵蓥侠， 崔斌 Journal of Software 34 (9), 4407-4420, 2023 | | 2023 |
Xupeng MiaoCarnegie Mellon UniversityVerified email at cmu.edu
