| Rgp: Neural network pruning through regular graph with edges swapping Z Chen, J Xiang, Y Lu, Q Xuan, Z Wang, G Chen, X Yang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 7 | 2023 |
| Understanding the dynamics of DNNs using graph modularity Y Lu, W Yang, Y Zhang, Z Chen, J Chen, Q Xuan, Z Wang, X Yang European Conference on Computer Vision, 225-242, 2022 | 5 | 2022 |
| Can pre-trained models assist in dataset distillation? Y Lu, X Chen, Y Zhang, J Gu, T Zhang, Y Zhang, X Yang, Q Xuan, K Wang, ... arXiv preprint arXiv:2310.03295, 2023 | 4 | 2023 |
| Adversarial sample detection via channel pruning Z Chen, RX Wang, Y Lu, Q Xuan ICML 2021 Workshop on Adversarial Machine Learning, 2021 | 3 | 2021 |
| Sr-init: An interpretable layer pruning method H Tang, Y Lu, Q Xuan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Graph-based similarity of neural network representations Z Chen, Y Lu, J Hu, W Yang, Q Xuan, Z Wang, X Yang arXiv preprint arXiv:2111.11165, 2021 | 2 | 2021 |
| Side Channel Based Substitute Adversarial Attack on Deep Learning Models Z Chen, J Hu, Y Lu, D Zhang, Y Xiang, Q Xuan | | 2024 |
| Exploring the Impact of Dataset Bias on Dataset Distillation Y Lu, J Gu, X Chen, S Vahidian, Q Xuan arXiv preprint arXiv:2403.16028, 2024 | | 2024 |
| How Does Contrastive Learning Organize Images? Y Zhang, Y Lu, Q Xuan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets Y Lu, Y Huang, J Nie, Z Chen, Q Xuan 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023 | | 2023 |
Qi XuanProfessor, Zhejiang University of Technology在 zjut.edu.cn 的电子邮件经过验证
