Improving Transferability of Adversarial Patches on Face Recognition With Generative Models Z Xiao, X Gao, C Fu, Y Dong, W Gao, X Zhang, J Zhou, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 90 | 2021 |
Fast video multi-style transfer W Gao, Y Li, Y Yin, MH Yang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 54 | 2020 |
Privacy-preserving collaborative learning with automatic transformation search W Gao, S Guo, T Zhang, H Qiu, Y Wen, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 45 | 2021 |
Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs W Gao, Z Ye, P Sun, Y Wen, T Zhang Proceedings of the ACM Symposium on Cloud Computing, 609-623, 2021 | 27 | 2021 |
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision W Gao, Q Hu, Z Ye, P Sun, X Wang, Y Luo, T Zhang, Y Wen arXiv preprint arXiv:2205.11913, 2022 | 23 | 2022 |
ASTRAEA: A Fair Deep Learning Scheduler for Multi-tenant GPU Clusters Z Ye, P Sun, W Gao, T Zhang, X Wang, S Yan, Y Luo IEEE Transactions on Parallel and Distributed Systems, 2021 | 12 | 2021 |
Automatic Transformation Search Against Deep Leakage from Gradients W Gao, X Zhang, S Guo, T Zhang, T Xiang, H Qiu, Y Wen, Y Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
Titan: a scheduler for foundation model fine-tuning workloads W Gao, P Sun, Y Wen, T Zhang Proceedings of the 13th Symposium on Cloud Computing, 348-354, 2022 | 3 | 2022 |