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Lin Li
Lin Li
Ph.D. student, King's College London
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
512023
Data augmentation alone can improve adversarial training
L Li, M Spratling
International Conference on Learning Representations (ICLR), 2023
332023
Understanding and combating robust overfitting via input loss landscape analysis and regularization
L Li, M Spratling
Pattern Recognition 136, 109229, 2023
192023
Visionfm: a multi-modal multi-task 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, ...
arXiv preprint arXiv:2310.04992, 2023
82023
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
22024
OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift
L Li, Y Wang, C Sitawarin, M Spratling
ICLR 2024 Workshop Data-centric Machine Learning Research (DMLR), 2024
22024
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation
L Li, J Qiu, M Spratling
arXiv preprint arXiv:2306.07197, 2023
12023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing
L Li, M Spratling
arXiv preprint arXiv:2303.14077, 2023
12023
Towards Robust Visual Classification through Adversarial Training
L Li
King's College London, 2023
2023
Understanding Deep CNNs via Interpretable Individual Units
L Li
Imperial College London, 2018
2018
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Articles 1–10