Towards Adaptive Residual Network Training: A Neural-ODE Perspective. - Chengyu Dong; Liyuan Liu; Zichao Li 002; Jingbo Shang (ICML, 2020)

Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. - Zichao Li 002; Liyuan Liu; Chengyu Dong; Jingbo Shang (CoRR, 2020)

BFClass: A Backdoor-free Text Classification Framework. - Zichao Li 002; Dheeraj Mekala; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2021)

Bag of Tricks for FGSM Adversarial Training. - Zichao Li 002; Li Liu 046; Zeyu Wang 008; Yuyin Zhou; Cihang Xie (CoRR, 2022)

Tied-Augment: Controlling Representation Similarity Improves Data Augmentation. - Emirhan Kurtulus; Zichao Li 002; Yann N. Dauphin; Ekin Dogus Cubuk (ICML, 2023)

Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies. - Zichao Li 002; Cihang Xie; Ekin Dogus Cubuk (Trans. Mach. Learn. Res., 2024)

On the Adversarial Robustness of Camera-based 3D Object Detection. - Shaoyuan Xie; Zichao Li 002; Zeyu Wang 008; Cihang Xie (Trans. Mach. Learn. Res., 2024)