SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. - Zhongnian Li; Tao Zhang 099; Peng Wan 004; Daoqiang Zhang (AAAI, 2019)

Improved Procedures for Training Primal Wasserstein GANs. - Tao Zhang 099; Zhongnian Li; Qi Zhu 001; Daoqiang Zhang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. - Zhongnian Li; Tao Zhang 099; Daoqiang Zhang (CoRR, 2019)

MRI Measurement Matrix Learning via Correlation Reweighting. - Zhongnian Li; Tao Zhang 099; Ruoyu Chen; Daoqiang Zhang (ACM Multimedia, 2020)

Improving the Certified Robustness of Neural Networks via Consistency Regularization. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Wei Shao 005; Daoqiang Zhang (CoRR, 2020)

A Consistency Regularization for Certified Robust Neural Networks. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Daoqiang Zhang (CICAI (2), 2021)

Sign-aware Perturbations Regression. - Zhongnian Li; Tao Zhang 099; Wei Shao 005; Songcan Chen; Daoqiang Zhang (SDM, 2021)

Towards evaluating the robustness of deep diagnostic models by adversarial attack. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Mingxia Liu 001; Daoqiang Zhang (Medical Image Anal., 2021)

Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Daoqiang Zhang (CoRR, 2022)

MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. - Mengting Xu; Tao Zhang 099; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2022)

InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Daoqiang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)