| Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks L Ma, L Liang Computer Methods and Programs in Biomedicine 240 (107687), 2023 | 18 | 2023 |
| A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification L Ma, L Liang Computers in Biology and Medicine 144 (105345), 2022 | 18 | 2022 |
| Diversity driven adaptive test generation for concurrent data structures L Ma, P Wu, TY Chen Information and software technology 103, 162-173, 2018 | 11 | 2018 |
| Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length L Ma, L Liang 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 8 | 2020 |
| An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder L Liang, L Ma, L Qian, J Chen https://arxiv.org/pdf/2009.08016.pdf, 2020 | 6* | 2020 |
| Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection L Ma, L Liang https://arxiv.org/pdf/2206.01736.pdf, 2022 | 5 | 2022 |
| Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective L Ma, L Liang ICLR 2020 Workshop AI4AH, 2020 | 4 | 2020 |
| SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRI J Chen, L Qian, L Ma, T Urakov, W Gu, L Liang arXiv preprint arXiv:2401.09627, 2024 | 2 | 2024 |
| Improving Adversarial Robustness of Deep Neural Networks Via Adaptive Margin Evolution L Ma, L Liang Neurocomputing 551 (126524), 2023 | 2 | 2023 |
| Evaluation of Deep Neural Network Models for Instance Segmentation of Lumbar Spine MRI J Chen, L Qian, L Ma, T Urakov, W Gu, L Liang bioRxiv, 2024.04. 02.587810, 2024 | | 2024 |
| A sequential geometry reconstruction based deep learning approach to improve accuracy and consistence of lumbar spine MRI image segmentation L Qian, J Chen, L Ma, T Urakov, L Liang Medical Imaging 2024: Image Processing 12926, 753-760, 2024 | | 2024 |
| A general approach to improve adversarial robustness of DNNs for medical image segmentation and detection L Ma, J Chen, L Qian, L Liang Medical Imaging 2024: Image Processing 12926, 266-274, 2024 | | 2024 |
| Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images L Qian, J Chen, L Ma, T Urakov, W Gu, L Liang arXiv preprint arXiv:2404.00231, 2024 | | 2024 |
| Towards Improving the Adversarial Robustness of Deep Neural Networks L Ma University of Miami, 2023 | | 2023 |
| Towards lifting the trade-off between accuracy and adversarial robustness of deep neural networks with application on COVID 19 CT image classification and medical image … L Ma, L Liang Medical Imaging 2023: Image Processing 12464, 416-423, 2023 | | 2023 |
| Improving Adversarial Robustness of Deep Neural Networks via Self-adaptive Margin Defense L Ma, L Liang | | 2022 |
| An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder (preprint) L Liang, L Ma, L Qian, J Chen | | 2020 |
| 基于Hill矩阵与Haar域序列的图像加密算法研究 马林海 https://github.com/SarielMa/Graduation-Project/blob/master/Research%20of …, 2014 | | 2014 |
Liang LiangUniversity of MiamiVerified email at cs.miami.edu
