| GRNN: generative regression neural network—a data leakage attack for federated learning H Ren, J Deng, X Xie ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-24, 2022 | 73 | 2022 |
| Fedboosting: Federated learning with gradient protected boosting for text recognition H Ren, J Deng, X Xie, X Ma, Y Wang Neurocomputing 569, 127126, 2024 | 9* | 2024 |
| A real-time and long-term face tracking method using convolutional neural network and optical flow in iot-based multimedia communication systems H Ren, Y Hu, SH Myint, K Hou, X Zhang, M Zuo, C Zhang, Q Zhang, H Li Wireless Communications and Mobile Computing 2021, 1-15, 2021 | 4 | 2021 |
| Gradient Leakage Defense with Key-Lock Module for Federated Learning H Ren, J Deng, X Xie, X Ma, J Ma arXiv preprint arXiv:2305.04095, 2023 | 1 | 2023 |
| A survey on vulnerability of federated learning: A learning algorithm perspective X Xie, C Hu, H Ren, J Deng Neurocomputing, 127225, 2024 | | 2024 |
| An Element-Wise Weights Aggregation Method for Federated Learning Y Hu, H Ren, C Hu, J Deng, X Xie 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 188-196, 2023 | | 2023 |
| CENTERSAM: FULLY AUTOMATIC PROMPT FOR DENSE NUCLEUS SEGMENTATION Y Li, H Ren, J Deng, X Ma, X Xie | | |
Xianghua XieProfessor, Computer Science, Swansea University, UKVerified email at swansea.ac.uk
