| A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies Z Qian, K Huang, QF Wang, XY Zhang Pattern Recognition 131, 108889, 2022 | 49 | 2022 |
| Generative adversarial classifier for handwriting characters super-resolution Z Qian, K Huang, QF Wang, J Xiao, R Zhang Pattern Recognition 107, 107453, 2020 | 27 | 2020 |
| Towards better robust generalization with shift consistency regularization S Zhang, Z Qian, K Huang, Q Wang, R Zhang, X Yi International conference on machine learning, 12524-12534, 2021 | 16 | 2021 |
| Improving model robustness with latent distribution locally and globally Z Qian, S Zhang, K Huang, Q Wang, R Zhang, X Yi arXiv preprint arXiv:2107.04401, 2021 | 11 | 2021 |
| Robust generative adversarial network S Zhang, Z Qian, K Huang, R Zhang, J Xiao, Y He, C Lu Machine Learning 112 (12), 5135-5161, 2023 | 6 | 2023 |
| Improving generative adversarial networks with simple latent distributions S Zhang, K Huang, Z Qian, R Zhang, A Hussain Neural Computing and Applications 33, 13193-13203, 2021 | 3 | 2021 |
| Simplegan stabilizing generative adversarial networks with simple distributions S Zhang, Z Qian, K Huang, R Zhang, A Hussain 2019 International Conference on Data Mining Workshops (ICDMW), 905-910, 2019 | 1 | 2019 |
| Perturbation diversity certificates robust generalization Z Qian, S Zhang, K Huang, Q Wang, X Yi, B Gu, H Xiong Neural Networks 172, 106117, 2024 | | 2024 |
| Adversarial Example Detection with Latent Representation Dynamic Prototype T Wang, Z Qian, X Yang International Conference on Neural Information Processing, 525-536, 2023 | | 2023 |
Kaizhu HuangProfessor of ECE, Duke Kunshan University在 dukekunshan.edu.cn 的电子邮件经过验证
