| Improving adversarial robustness via channel-wise activation suppressing Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang arXiv preprint arXiv:2103.08307, 2021 | 109 | 2021 |
| Improving query efficiency of black-box adversarial attack Y Bai, Y Zeng, Y Jiang, Y Wang, ST Xia, W Guo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 56 | 2020 |
| Training interpretable convolutional neural networks by differentiating class-specific filters H Liang, Z Ouyang, Y Zeng, H Su, Z He, ST Xia, J Zhu, B Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 46 | 2020 |
| Query efficient black-box adversarial attack on deep neural networks Y Bai, Y Wang, Y Zeng, Y Jiang, ST Xia Pattern Recognition 133, 109037, 2023 | 33 | 2023 |
| Correlation-based structural dropout for convolutional neural networks Y Zeng, T Dai, B Chen, ST Xia, J Lu Pattern Recognition 120, 108117, 2021 | 20 | 2021 |
| Towards effective image manipulation detection with proposal contrastive learning Y Zeng, B Zhao, S Qiu, T Dai, ST Xia IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 10 | 2023 |
| Content to node: Self-translation network embedding Z He, J Liu, Y Zeng, L Wei, Y Huang IEEE Transactions on Knowledge and Data Engineering 33 (2), 431-443, 2019 | 8 | 2019 |
| Corrdrop: Correlation based dropout for convolutional neural networks Y Zeng, T Dai, ST Xia ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Training Interpretable Convolutional Neural Networks towards Class-specific Filters H Liang, Z Ouyang, H Su, Y Zeng, Z He, S Xia, J Zhu, B Zhang | | 2019 |
