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Tao Zhang(selous)
Tao Zhang(selous)
Alibaba Group
Verified email at alibaba-inc.com
Title
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Cited by
Year
Towards evaluating the robustness of deep diagnostic models by adversarial attack
M Xu, T Zhang, Z Li, M Liu, D Zhang
Medical Image Analysis 69, 101977, 2021
582021
SEGAN: structure-enhanced generative adversarial network for compressed sensing MRI reconstruction
Z Li, T Zhang, P Wan, D Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1012-1019, 2019
342019
Medrdf: a robust and retrain-less diagnostic framework for medical pretrained models against adversarial attack
M Xu, T Zhang, D Zhang
IEEE Transactions on Medical Imaging 41 (8), 2130-2143, 2022
252022
Infoat: Improving adversarial training using the information bottleneck principle
M Xu, T Zhang, Z Li, D Zhang
IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1255-1264, 2022
182022
Improved procedures for training primal wasserstein gans
T Zhang, Z Li, Q Zhu, D Zhang
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019
82019
Mri measurement matrix learning via correlation reweighting
Z Li, T Zhang, R Chen, D Zhang
Proceedings of the 28th ACM International Conference on Multimedia, 2737-2745, 2020
42020
Deep evolutional instant interest network for ctr prediction in trigger-induced recommendation
Z Xiao, L Yang, T Zhang, W Jiang, W Ning, Y Yang
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
32024
On Practical Diversified Recommendation with Controllable Category Diversity Framework
T Zhang, L Yang, Z Xiao, W Jiang, W Ning
Companion Proceedings of the ACM on Web Conference 2024, 255-263, 2024
22024
Scale-invariant adversarial attack for evaluating and enhancing adversarial defenses
M Xu, T Zhang, Z Li, D Zhang
arXiv preprint arXiv:2201.12527, 2022
12022
A Consistency Regularization for Certified Robust Neural Networks
M Xu, T Zhang, Z Li, D Zhang
CAAI International Conference on Artificial Intelligence, 27-38, 2021
12021
Sign-aware Perturbations Regression
Z Li, T Zhang, W Shao, S Chen, D Zhang
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
2021
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