publications

a latest list of publications can be found at Google scholar.

2024

  1. One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
    Lin Li, Haoyan Guan, Jianing Qiu, and 1 more author
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    PDF
  2. OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift
    Lin Li, Yifei Wang, Chawin Sitawarin, and 1 more author
    ICLR 2024 Workshop Data-centric Machine Learning Research (DMLR), 2024
    PDF

2023

  1. Data Augmentation Alone Can Improve Adversarial Training
    Lin Li, and Michael Spratling
    In International Conference on Learning Representations, 2023
    PDF
  2. Understanding and combating robust overfitting via input loss landscape analysis and regularization
    Lin Li, and Michael Spratling
    Pattern Recognition, 2023
    PDF
  3. Large AI Models in Health Informatics: Applications, Challenges, and the Future
    Jianing Qiu, Lin Li, Jiankai Sun, and 10 more authors
    IEEE Journal of Biomedical and Health Informatics (JBHI), 2023
    PDF
  4. AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation
    Lin Li, Jianing Qiu, and Michael Spratling
    Arxiv, 2023
    PDF
  5. Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing
    Lin Li, and Michael Spratling
    Arxiv, 2023
    PDF
  6. VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
    Jianing Qiu, Jian Wu, Hao Wei, and 39 more authors
    Arxiv, 2023
    PDF