| Deep frequency principle towards understanding why deeper learning is faster ZJ Xu, H Zhou Proceedings of the AAAI conference on artificial intelligence 35 (12), 10541 …, 2021 | 42 | 2021 |
| Towards understanding the condensation of neural networks at initial training H Zhou, Z Qixuan, T Luo, Y Zhang, ZQ Xu Advances in Neural Information Processing Systems 35, 2184-2196, 2022 | 30 | 2022 |
| Empirical phase diagram for three-layer neural networks with infinite width H Zhou, Z Qixuan, Z Jin, T Luo, Y Zhang, ZQ Xu Advances in Neural Information Processing Systems 35, 26021-26033, 2022 | 21 | 2022 |
| White-box multimodal jailbreaks against large vision-language models R Wang, X Ma, H Zhou, C Ji, G Ye, YG Jiang Proceedings of the 32nd ACM International Conference on Multimedia, 6920-6928, 2024 | 14 | 2024 |
| Understanding the initial condensation of convolutional neural networks Z Zhou, H Zhou, Y Li, ZQJ Xu arXiv preprint arXiv:2305.09947, 2023 | 5 | 2023 |
| Dropout in training neural networks: Flatness of solution and noise structure Z Zhang, H Zhou, ZQJ Xu arXiv preprint arXiv:2111.01022, 2021 | 2 | 2021 |
