| GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs Y Zhong, G Sheng, T Qin, M Wang, Q Gan, C Wu arXiv preprint arXiv:2311.17410, 2023 | 9 | 2023 |
| Hybridflow: A flexible and efficient rlhf framework G Sheng, C Zhang, Z Ye, X Wu, W Zhang, R Zhang, Y Peng, H Lin, C Wu arXiv preprint arXiv:2409.19256, 2024 | 4 | 2024 |
| Mspipe: Efficient temporal gnn training via staleness-aware pipeline G Sheng, J Su, C Huang, C Wu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 3 | 2024 |
| A Framework for Training Large Language Models for Code Generation via Proximal Policy Optimization C Zhang, G Sheng, S Liu, J Li, Z Feng, Z Liu, X Liu, X Jia, Y Peng, H Lin, ... NL2Code Workshop of ACM KDD, 2024 | 1 | 2024 |
| Swift: Expedited Failure Recovery for Large-Scale DNN Training Y Zhong, G Sheng, J Liu, J Yuan, C Wu Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023 | 1 | 2023 |
| SWIFT: Expedited Failure Recovery for Large-scale DNN Training Y Zhong, G Sheng, J Liu, J Yuan, C Wu IEEE Transactions on Parallel and Distributed Systems, 2024 | | 2024 |
