| Unpaired image-to-image translation using adversarial consistency loss Y Zhao, R Wu, H Dong Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 145 | 2020 |
| A survey of resource-efficient llm and multimodal foundation models M Xu, W Yin, D Cai, R Yi, D Xu, Q Wang, B Wu, Y Zhao, C Yang, S Wang, ... arXiv preprint arXiv:2401.08092, 2024 | 88 | 2024 |
| Multi-resource interleaving for deep learning training Y Zhao, Y Liu, Y Peng, Y Zhu, X Liu, X Jin Proceedings of the ACM SIGCOMM 2022 Conference, 428-440, 2022 | 61 | 2022 |
| ElasticFlow: An elastic serverless training platform for distributed deep learning D Gu, Y Zhao, Y Zhong, Y Xiong, Z Han, P Cheng, F Yang, G Huang, X Jin, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 30 | 2023 |
| Muxflow: Efficient and safe gpu sharing in large-scale production deep learning clusters Y Zhao, X Liu, S Liu, X Li, Y Zhu, G Huang, X Liu, X Jin arXiv preprint arXiv:2303.13803, 2023 | 8 | 2023 |
| MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs X Liu, Y Zhao, S Liu, X Li, Y Zhu, X Liu, X Jin Science China Information Sciences 67 (12), 1-17, 2024 | 1 | 2024 |
| GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads D Gu, Y Zhao, P Sun, X Jin, X Liu IEEE Transactions on Parallel and Distributed Systems, 2024 | 1 | 2024 |
| Klotski: Efficient and Safe Network Migration of Large Production Datacenters Y Zhao, X Zhang, H Zhu, Y Zhang, Z Wang, Y Tian, A Nikulkov, J Ferreira, ... Proceedings of the ACM SIGCOMM 2023 Conference, 783-797, 2023 | 1 | 2023 |
| DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation G Zhan, Y Zhao, B Zhao, H Yuan, B Chen, H Dong arXiv preprint arXiv:1911.09943, 2019 | 1 | 2019 |
| How Useful is Communication Scheduling for Distributed Training? Y Zhao, X Liu, X Jin 2024 International Scientific and Technical Conference Modern Computer …, 2024 | | 2024 |
Xin JinPeking University確認したメール アドレス: pku.edu.cn