Towards Natural Robustness Against Adversarial Examples. - Haoyu Chu; Shikui Wei; Yao Zhao 001 (CoRR, 2020)

Towards Transferable 3D Adversarial Attack. - Qiming Lu; Shikui Wei; Haoyu Chu; Yao Zhao 001 (MMAsia, 2021)

Improving Neural ODEs via Knowledge Distillation. - Haoyu Chu; Shikui Wei; Qiming Lu; Yao Zhao 001 (CoRR, 2022)

Learning Robust Deep Equilibrium Models. - Haoyu Chu; Shikui Wei; Ting Liu 012; Yao Zhao 001 (CoRR, 2023)

On robustness of neural ODEs image classifiers. - Wenjun Cui; Honglei Zhang; Haoyu Chu; Pipi Hu; Yidong Li (Inf. Sci., 2023)

Lyapunov-Stable Deep Equilibrium Models. - Haoyu Chu; Shikui Wei; Ting Liu 012; Yao Zhao 001; Yuto Miyatake (AAAI, 2024)

Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure. - Haoyu Chu; Yuto Miyatake; Wenjun Cui; Shikui Wei; Daisuke Furihata (IJCAI, 2024)

Improving neural ordinary differential equations via knowledge distillation. - Haoyu Chu; Shikui Wei; Qiming Lu; Yao Zhao 001 (IET Comput. Vis., 2024)