Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbation Generation
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Xuyang Zhong, Chen Liu
Publications
You can also find my articles on my Google Scholar profile.
* indicates equal contribution. Journal Articles
Towards Mitigating Architecture Overfitting on Distilled Datasets
Published in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
Xuyang Zhong, Chen Liu
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features
Published in Artificial Intelligence in Medicine, 2022
Yuyang You*, Xuyang Zhong*, Guozheng Liu, Zhihong Yang
Conference Papers
Understanding and Improving Fast Adversarial Train-ing against $l_0$ Bounded Perturbations
Published in Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Xuyang Zhong, Yixiao Huang, Chen Liu
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
Published in Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Xuyang Zhong, Haochen Luo, Chen Liu
TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts
Published in European Conference on Computer Vision (ECCV), 2024
Youssef Mansour*, Xuyang Zhong*, Serdar Caglar, Reinhard Heckel
Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
Published in International Conference on Machine Learning (ICML), 2024
Xuyang Zhong, Yixiao Huang, Chen Liu