| Sound absorption of a rib-stiffened plate covered by anechoic coatings X Fu, Z Jin, Y Yin, B Liu The Journal of the Acoustical Society of America 137 (3), 1551-1556, 2015 | 38 | 2015 |
| Promptkd: Unsupervised prompt distillation for vision-language models Z Li, X Li, X Fu, X Zhang, W Wang, S Chen, J Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
| Differentially private learning with per-sample adaptive clipping T Xia, S Shen, S Yao, X Fu, K Xu, X Xu, X Fu Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10444 …, 2023 | 16 | 2023 |
| Privacy-preserving design of graph neural networks with applications to vertical federated learning R Wu, M Zhang, L Lyu, X Xu, X Hao, X Fu, T Liu, T Zhang, W Wang arXiv preprint arXiv:2310.20552, 2023 | 5 | 2023 |
| Clean-image backdoor attacks D Rong, G Yu, S Shen, X Fu, P Qian, J Chen, Q He, X Fu, W Wang International Conference on Artificial Neural Networks, 187-202, 2024 | 4 | 2024 |
| 吸声覆盖层研究进展 张浩， 傅欣艺， 尹铫， 刘碧龙 应用声学, 295-304, 2013 | 4 | 2013 |
| Exploiting adversarial examples to drain computational resources on mobile deep learning systems H Gao, Y Tian, R Yao, F Xu, X Fu, S Zhong 2020 IEEE/ACM Symposium on Edge Computing (SEC), 334-339, 2020 | 3 | 2020 |
| Protecting split learning by potential energy loss F Zheng, C Chen, L Lyu, X Fu, X Fu, W Wang, X Zheng, J Yin Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| Privacy-Preserving and Robust Federated Deep Metric Learning Y Tian, X Ke, Z Tao, S Ding, F Xu, Q Li, H Han, S Zhong, X Fu 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), 1-11, 2022 | | 2022 |
| 基于传递矩阵法的双层复合空腔结构吸声特性研究 张浩， 傅欣艺， 尹餆， 刘碧龙 第十四届船舶水下噪声学术讨论会论文集, 2013 | | 2013 |
