Preprint
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images. Yao Li, Sherif Farag, Jongwhan Yoo, J.S. Marron, and Nancy E. Thomas. 2021.
Publications
Adversarial Examples Detection With Bayesian Neural Network Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee. In IEEE TETCI, 2024.
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu. In CVPR, 2023.
Accelerating Dataset Distillation via Model Augmentation. Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu. In CVPR, 2023.
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang. In EMNLP, 2022.
A Review of Adversarial Attack and Defense for Classification Methods. Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee. In The American Statistician, 2021.
Towards Robustness of Deep Neural Networks via Regularization. Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh. In ICCV, 2021.
L-Arginine supplementation in severe asthma. Shu-Yi Liao, Megan R Showalter, Angela L Linderholm, Lisa Franzi, Celeste Kivler , Yao Li, Michael R Sa, Zachary A Kons, Oliver Fiehn, Lihong Qi, Amir A Zeki, Nicholas J Kenyon. In JCI Insight, 2020.
Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models. Qi Gao, Randy C. S. Lai, Thomas C. M. Lee, Yao Li. In Technometrics, 2019.
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network. Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh. In ICLR, 2019.
Learning from Group Comparisons: Exploiting Higher Order Interactions. Yao Li, Minhao Cheng, Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh. In NeurIPS, 2018.
Scalable demand-aware recommendation. Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li. In NeurIPS, 2017.