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 | 46 | 2021 |
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 | 29 | 2019 |
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 | 14 | 2022 |
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, 2022 | 11 | 2022 |
Improved procedures for training primal wasserstein gans T Zhang, Z Li, Q Zhu, D Zhang 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 7 | 2019 |
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 | 4 | 2020 |
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 | 1 | 2024 |
Scale-invariant adversarial attack for evaluating and enhancing adversarial defenses M Xu, T Zhang, Z Li, D Zhang arXiv preprint arXiv:2201.12527, 2022 | 1 | 2022 |
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 | 1 | 2021 |
On Practical Diversified Recommendation with Controllable Category Diversity Framework T Zhang, L Yang, Z Xiao, W Jiang, W Ning arXiv preprint arXiv:2402.03801, 2024 | | 2024 |
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 |