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 28th Conference on Architectural Support for Programming …, 2023 | 11 | 2023 |
Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps Y Ma, Z Hu, D Gu, L Zhou, Q Mei, G Huang, X Liu ACM Transactions on the Web (TWEB) 14 (3), 1-24, 2020 | 7 | 2020 |
Energy-Efficient GPU Clusters Scheduling for Deep Learning D Gu, X Xie, G Huang, X Jin, X Liu arXiv preprint arXiv:2304.06381, 2023 | 6 | 2023 |
ProMal: precise window transition graphs for android via synergy of program analysis and machine learning C Liu, H Wang, T Liu, D Gu, Y Ma, H Wang, X Xiao Proceedings of 44th International Conference on Software Engineering, 1755-1767, 2022 | 6 | 2022 |
Defect Detection for Deep Learning Frameworks Based on Meta Operators YM Diandian Gu, Yining Shi, Xuanzhe Liu, Ge Wu, Yaoshuai Zhao CHINESE JOURNAL OF COMPUTERS 45 (2), 240-255, 2022 | 2 | 2022 |
Demystifying Developers' Issues in Distributed Training of Deep Learning Software D Gu, Z Chen, Y Liu, Z Zhang, Y Ma, X Jin, X Liu arXiv preprint arXiv:2112.06222, 2021 | 2 | 2021 |
InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding Q Chen, D Gu, G Wang, X Chen, YT Xiong, T Huang, Q Hu, X Jin, Y Wen, ... arXiv preprint arXiv:2401.09149, 2024 | 1 | 2024 |
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective X Liu, D Gu, Z Chen, J Wen, Z Zhang, Y Ma, H Wang, X Jin ACM Transactions on Software Engineering and Methodology, 2023 | 1 | 2023 |
LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning D Gu, Z Hu, S Du, Y Ma Proceedings of the 28th ACM International Conference on Information and …, 2019 | | 2019 |