| Large ai models in health informatics: Applications, challenges, and the future J Qiu, L Li, J Sun, J Peng, P Shi, R Zhang, Y Dong, K Lam, FPW Lo, ... IEEE Journal of Biomedical and Health Informatics (JBHI), 2023 | 158 | 2023 |
| Data augmentation alone can improve adversarial training L Li, M Spratling International Conference on Learning Representations (ICLR), 2023 | 53 | 2023 |
| Understanding and combating robust overfitting via input loss landscape analysis and regularization L Li, M Spratling Pattern Recognition 136, 109229, 2023 | 38 | 2023 |
| One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models L Li, H Guan, J Qiu, M Spratling IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 19 | 2024 |
| Development and validation of a multimodal multitask vision foundation model for generalist ophthalmic artificial intelligence J Qiu, J Wu, H Wei, P Shi, M Zhang, Y Sun, L Li, H Liu, H Liu, S Hou, ... NEJM AI 1 (12), AIoa2300221, 2024 | 18* | 2024 |
| OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift L Li, Y Wang, C Sitawarin, M Spratling International Conference on Machine Learning (ICML) 2024, ICLRW-DMLR 2024, 2024 | 6 | 2024 |
| AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation L Li, J Qiu, M Spratling International Journal of Computer Vision (IJCV), 2024 | 5 | 2024 |
| Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing L Li, M Spratling arXiv preprint arXiv:2303.14077, 2023 | 3 | 2023 |
| Artificial intelligence for biomedical video generation L Li, J Qiu, A Saha, L Li, P Li, M He, Z Guo, W Yuan arXiv preprint arXiv:2411.07619, 2024 | 2 | 2024 |
| OODRobustBench: a benchmark and large-scale analysis of adversarial robustness under distribution shift L Li, Y Wang, C Sitawarin, M Spratling | 2 | 2024 |
| Robust Shortcut and Disordered Robustness: Improving Adversarial Training Through Adaptive Smoothing L Li, M Spratling Available at SSRN 4972708, 2024 | | 2024 |
| Advancing Robots with Greater Dynamic Dexterity: A Large-Scale Multi-View and Multi-Modal Dataset of Human-Human Throw&Catch of Arbitrary Objects L Chen*, J Qiu*, L Li*, X Luo, G Chi, Y Zheng International Journal of Robotics Research (IJRR), 2024 | | 2024 |
| Towards Robust Visual Classification through Adversarial Training L Li King's College London, 2024 | | 2024 |
| Understanding Deep CNNs via Interpretable Individual Units L Li Imperial College London, 2018 | | 2018 |
Michael SpratlingUniversity of Luxembourguni.lu의 이메일 확인됨