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Title
Cited by
Cited by
Year
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
892021
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
532020
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
432021
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
252021
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
222022
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
112021
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
32023
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
22022
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