| PPML-Omics: a privacy-preserving federated machine learning method protects patients’ privacy in omic data J Zhou, S Chen, Y Wu, H Li, B Zhang, L Zhou, Y Hu, Z Xiang, Z Li, N Chen, ... Science Advances 10 (5), eadh8601, 2024 | 28 | 2024 |
| Practical differentially private and byzantine-resilient federated learning Z Xiang, T Wang, W Lin, D Wang Proceedings of the ACM on Management of Data 1 (2), 1-26, 2023 | 19 | 2023 |
| A theory to instruct differentially-private learning via clipping bias reduction H Xiao==, Z Xiang==, D Wang, S Devadas 2023 IEEE Symposium on Security and Privacy (SP), 2170-2189, 2023 | 17 | 2023 |
| Bidirectional modular Dual Active Bridge (DAB) converter using multi-limb-core transformer with symmetrical LC series resonant tank based on cascaded converters in solid state … U Khalid, MM Khan, Z Xiang, Y Jianyang 2017 China International Electrical and Energy Conference (CIEEC), 627-632, 2017 | 16 | 2017 |
| Privacy-preserving sparse generalized eigenvalue problem L Hu==, Z Xiang==, J Liu, D Wang International Conference on Artificial Intelligence and Statistics, 5052-5062, 2023 | 9 | 2023 |
| Differentially private non-convex learning for multi-layer neural networks H Shen, CL Wang, Z Xiang, Y Ying, D Wang arXiv preprint arXiv:2310.08425, 2023 | 8 | 2023 |
| Preserving node-level privacy in graph neural networks Z Xiang, T Wang, D Wang 2024 IEEE Symposium on Security and Privacy (SP). IEEE Computer Society, 2024., 2024 | 7 | 2024 |
| A DC link capacitors' voltage balancing method in unidirectional cascaded H-bridge converter using multi-limb-core (MLC) transformer Z Xiang, MM Khan, U Khalid, J Xu 2017 China International Electrical and Energy Conference (CIEEC), 606-611, 2017 | 5 | 2017 |
| Di Wang, and Srinivas Devadas. 2023. A theory to instruct differentially-private learning via clipping bias reduction H Xiao, Z Xiang 2023 IEEE Symposium on Security and Privacy (SP). IEEE, 2170-2189, 0 | 5 | |
| Has approximate machine unlearning been evaluated properly? from auditing to side effects CL Wang, Q Li, Z Xiang, D Wang arXiv e-prints, arXiv: 2403.12830, 2024 | 4 | 2024 |
| Revisiting Differentially Private Hyper-parameter Tuning Z Xiang, T Wang, C Wang, D Wang arXiv preprint arXiv:2402.13087, 2024 | 4* | 2024 |
| Nearly Optimal Rates of Privacy-preserving Sparse Generalized Eigenvalue Problem L Hu==, Z Xiang==, J Liu, D Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 1 | 2023 |
| Towards User-level Private Reinforcement Learning with Human Feedback J Zhang, M Lei, M Ding, M Li, Z Xiang, D Xu, J Xu, D Wang arXiv preprint arXiv:2502.17515, 2025 | | 2025 |
| Privacy Audit as Bits Transmission:(Im) possibilities for Audit by One Run Z Xiang, T Wang, D Wang arXiv preprint arXiv:2501.17750, 2025 | | 2025 |
| Private Stochastic Convex Optimization with Tysbakov Noise Condition and Large Lipschitz Constant D Xu, M Ding, Z Xiang, J Xu, D Wang | | |
| FlashDP: Memory-Efficient and High-Throughput DP-SGD Training for Large Language Models L Wang, J Wang, J Ren, Z Xiang, DE Keyes, D Wang | | |
Di WangKing Abdullah University of Science and TechnologyПотвърден имейл адрес: kaust.edu.sa