Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features. - Yuyang You; Xuyang Zhong; Guozheng Liu; Zhihong Yang (Artif. Intell. Medicine, 2022)

Towards Mitigating Architecture Overfitting in Dataset Distillation. - Xuyang Zhong; Chen Liu 027 (CoRR, 2023)

TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts. - Youssef Mansour; Xuyang Zhong; Serdar I. Caglar; Reinhard Heckel (ECCV (12), 2024)

Towards Efficient Training and Evaluation of Robust Models against l0 Bounded Adversarial Perturbations. - Xuyang Zhong; Yixiao Huang 004; Chen Liu 027 (ICML, 2024)

Towards Efficient Training and Evaluation of Robust Models against l0 Bounded Adversarial Perturbations. - Xuyang Zhong; Yixiao Huang 004; Chen Liu 027 (CoRR, 2024)

Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing. - Xuyang Zhong; Yixiao Huang 004; Chen Liu 027 (CoRR, 2025)

DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers. - Xuyang Zhong; Haochen Luo; Chen Liu 027 (CoRR, 2025)