| Look through masks: Towards masked face recognition with de-occlusion distillation C Li, S Ge, D Zhang, J Li Proceedings of the 28th ACM International Conference on Multimedia, 3016-3024, 2020 | 79 | 2020 |
| Detecting Deepfake Videos with Temporal Dropout 3DCNN D Zhang, C Li, F Lin, D Zeng, S Ge IJCAI, 1288-1294, 2021 | 74 | 2021 |
| Deepfake video detection via predictive representation learning S Ge, F Lin, C Li, D Zhang, W Wang, D Zeng ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 38 | 2022 |
| Deepfake Video Detection with Spatiotemporal Dropout Transformer D Zhang, F Lin, Y Hua, P Wang, D Zeng, S Ge Proceedings of the 30th ACM International Conference on Multimedia, 5833-5841, 2022 | 36 | 2022 |
| Research progress in the interpretability of deep learning models Y Hua, D Zhang, S Ge Journal of Cyber Security 5 (3), 1-12, 2020 | 35* | 2020 |
| Latent pattern sensing: Deepfake video detection via predictive representation learning S Ge, F Lin, C Li, D Zhang, J Tan, W Wang, D Zeng Proceedings of the 3rd ACM International Conference on Multimedia in Asia, 1-7, 2021 | 9 | 2021 |
| Learning natural consistency representation for face forgery video detection D Zhang, Z Xiao, S Li, F Lin, J Li, S Ge European Conference on Computer Vision, 407-424, 2024 | 6 | 2024 |
| Latent Spatiotemporal Adaptation for Generalized Face Forgery Video Detection D Zhang, Z Xiao, J Li, S Ge arXiv preprint arXiv:2309.04795, 2023 | 2* | 2023 |
| Interpretable face manipulation detection via feature whitening Y Hua, D Zhang, P Wang, S Ge arXiv preprint arXiv:2106.10834, 2021 | 2 | 2021 |
| Interpret The Predictions Of Deep Networks Via Re-Label Distillation Y Hua, S Ge, D Zhang 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | | 2021 |
| Supplementary Material: Learning Natural Consistency Representation for Face Forgery Video Detection D Zhang, Z Xiao, S Li, F Lin, J Li, S Ge | | |