Understanding and combating robust overfitting via input loss landscape analysis and regularization. - Lin Li 070; Michael W. Spratling (Pattern Recognit., 2023)

Large AI Models in Health Informatics: Applications, Challenges, and the Future. - Jianing Qiu; Lin Li 070; Jiankai Sun; Jiachuan Peng; Peilun Shi; Ruiyang Zhang; Yinzhao Dong; Kyle Lam; Frank P.-W. Lo; Bo Xiao 002; Wu Yuan 001; Ningli Wang; et al. (IEEE J. Biomed. Health Informatics, 2023)

Advancing robots with greater dynamic dexterity: A large-scale multi-view and multi-modal dataset of human-human throw&catch of arbitrary objects. - Lipeng Chen; Jianing Qiu; Lin Li 070; Xi Luo; Guoyi Chi; Yu Zheng (Int. J. Robotics Res., 2025)

Robust shortcut and disordered robustness: Improving adversarial training through adaptive smoothing. - Lin Li 070; Michael W. Spratling (Pattern Recognit., 2025)

AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation. - Lin Li 070; Jianing Qiu; Michael W. Spratling (Int. J. Comput. Vis., 2025)