Publications

(* Equal Contribution)

2023

• Scaling (Down) CLIP: A Comprehensive Analysis of Data,Architecture, and Training Strategies (Preprint)
  Zichao Li, Cihang Xie, Ekin Dogus Cubuk

• Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
  Emirhan Kurtulus, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk. ICML 2023

• On the Adversarial Robustness of Camera-based 3D Object Detection
  Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie

2022

• Bag of Tricks for FGSM Adversarial Training
  Zichao Li, Li Liu, Zeyu Wang, Yunying Zhou, Cihang Xie

2021

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

• Can Shape Structure Features Improve Model Robustness? Mingjie Sun*, Zichao Li*, Chaowei Xiao*, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li. ICCV 2021

2020

• Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
  Zichao Li*, Liyuan Liu*, Chengyu Dong and Jingbo Shang. arXiv:2010.08034. [code]

• Towards Adaptive Residual Network Training: A Neural-ODE Perspective
  Chengyu Dong, Liyuan Liu, Zichao Li and Jingbo Shang. ICML 2020. [code]