| Multinomial random forest J Bai, Y Li, J Li, X Yang, Y Jiang, ST Xia Pattern Recognition 122, 108331, 2022 | 87 | 2022 |
| Black-box dataset ownership verification via backdoor watermarking Y Li, M Zhu, X Yang, Y Jiang, T Wei, ST Xia IEEE Transactions on Information Forensics and Security 18, 2318-2332, 2023 | 70 | 2023 |
| Achieving efficient and privacy-preserving cross-domain big data deduplication in cloud X Yang, R Lu, KKR Choo, F Yin, X Tang IEEE transactions on big data 8 (1), 73-84, 2017 | 65 | 2017 |
| Achieving efficient secure deduplication with user-defined access control in cloud X Yang, R Lu, J Shao, X Tang, AA Ghorbani IEEE Transactions on Dependable and Secure Computing 19 (1), 591-606, 2020 | 55 | 2020 |
| An efficient and privacy-preserving disease risk prediction scheme for e-healthcare X Yang, R Lu, J Shao, X Tang, H Yang IEEE Internet of Things Journal 6 (2), 3284-3297, 2018 | 51 | 2018 |
| An accuracy-lossless perturbation method for defending privacy attacks in federated learning X Yang, Y Feng, W Fang, J Shao, X Tang, ST Xia, R Lu Proceedings of the ACM Web Conference 2022, 732-742, 2022 | 49 | 2022 |
| A fine-grained differentially private federated learning against leakage from gradients L Zhu, X Liu, Y Li, X Yang, ST Xia, R Lu IEEE Internet of Things Journal 9 (13), 11500-11512, 2021 | 36 | 2021 |
| Achieving efficient and privacy-preserving multi-domain big data deduplication in cloud X Yang, R Lu, J Shao, X Tang, AA Ghorbani IEEE Transactions on Services Computing 14 (5), 1292-1305, 2018 | 35 | 2018 |
| A fine-grained and privacy-preserving query scheme for fog computing-enhanced location-based service X Yang, F Yin, X Tang Sensors 17 (7), 1611, 2017 | 26 | 2017 |
| Convolutional neural network based on multi-directional local coding for finger vein recognition Z Zhang, Z Zhou, X Yang, H Meng, G Wu Information Sciences 623, 633-647, 2023 | 19 | 2023 |
| SFPM: A secure and fine-grained privacy-preserving matching protocol for mobile social networking X Yang, R Lu, H Liang, X Tang Big data research 3, 2-9, 2016 | 19 | 2016 |
| Practical and bilateral privacy-preserving federated learning Y Feng, X Yang, W Fang, ST Xia, X Tang arXiv preprint arXiv:2002.09843, 2020 | 15 | 2020 |
| Achieving efficient and privacy-preserving top-k query over vertically distributed data sources Y Zheng, R Lu, X Yang, J Shao ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 12 | 2019 |
| GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning X Liu, L Zhu, ST Xia, Y Jiang, X Yang 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 9 | 2021 |
| Rectified decision trees: exploring the landscape of interpretable and effective machine learning Y Li, J Bai, J Li, X Yang, Y Jiang, ST Xia arXiv preprint arXiv:2008.09413, 2020 | 8 | 2020 |
| Efficiently Achieving Privacy Preservation and Poisoning Attack Resistance in Federated Learning X Li, X Yang, Z Zhou, R Lu IEEE Transactions on Information Forensics and Security, 2024 | 7 | 2024 |
| An efficient privacy-preserving and verifiable scheme for federated learning X Yang, M Ma, X Tang Future Generation Computer Systems, 2024 | 4 | 2024 |
| An efficient and multi-private key secure aggregation for federated learning X Yang, Z Liu, X Tang, R Lu, B Liu arXiv preprint arXiv:2306.08970, 2023 | 4 | 2023 |
| Black-box ownership verification for dataset protection via backdoor watermarking Y Li, M Zhu, X Yang, Y Jiang, ST Xia arXiv preprint arXiv:2209.06015, 2022 | 4 | 2022 |
| SDCN: Sparsity and diversity driven correlation networks for traffic demand forecasting W Li, X Yang, X Tang, S Xia 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
