| Local differential private data aggregation for discrete distribution estimation S Wang, L Huang, Y Nie, X Zhang, P Wang, H Xu, W Yang IEEE Transactions on Parallel and Distributed Systems 30 (9), 2046-2059, 2019 | 166* | 2019 |
| Private fl-gan: Differential privacy synthetic data generation based on federated learning B Xin, W Yang, Y Geng, S Chen, S Wang, L Huang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 100 | 2020 |
| Towards preserving worker location privacy in spatial crowdsourcing Y Shen, L Huang, L Li, X Lu, S Wang, W Yang 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015 | 71 | 2015 |
| A Utility-Optimized Framework for Personalized Private Histogram Estimation NIE Yiwen, W Yang, L Huang, X Xie, Z Zhao, S Wang IEEE Transactions on Knowledge and Data Engineering 31 (4), 655-669, 2018 | 54 | 2018 |
| PrivSet: Set-Valued Data Analyses with Locale Differential Privacy S Wang, L Huang, Y Nie, P Wang, H Xu, W Yang IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 1088-1096, 2018 | 53 | 2018 |
| Minimizing controller response time through flow redirecting in sdns P Wang, H Xu, L Huang, C Qian, S Wang, Y Sun IEEE/ACM Transactions on Networking 26 (1), 562-575, 2018 | 40 | 2018 |
| Private weighted histogram aggregation in crowdsourcing S Wang, L Huang, P Wang, H Deng, H Xu, W Yang Wireless Algorithms, Systems, and Applications: 11th International …, 2016 | 37 | 2016 |
| Federated learning with personalized local differential privacy G Yang, S Wang, H Wang 2021 IEEE 6th International Conference on Computer and Communication Systems …, 2021 | 34 | 2021 |
| Federated synthetic data generation with differential privacy B Xin, Y Geng, T Hu, S Chen, W Yang, S Wang, L Huang Neurocomputing 468, 1-10, 2022 | 29 | 2022 |
| Personalized privacy-preserving data aggregation for histogram estimation S Wang, L Huang, M Tian, W Yang, H Xu, H Guo 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015 | 29 | 2015 |
| Local private ordinal data distribution estimation S Wang, Y Nie, P Wang, H Xu, W Yang, L Huang IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 26 | 2017 |
| Differentially Private Greedy Decision Forest B Xin, W Yang, S Wang, L Huang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 20 | 2019 |
| Geospatial streams publish with differential privacy Y Nie, L Huang, Z Li, S Wang, Z Zhao, W Yang, X Lu Collaborate Computing: Networking, Applications and Worksharing: 12th …, 2017 | 19 | 2017 |
| Set-valued data publication with local privacy: tight error bounds and efficient mechanisms S Wang, Y Qian, J Du, W Yang, L Huang, H Xu Proceedings of the VLDB Endowment 13 (8), 1234-1247, 2020 | 14 | 2020 |
| Analyzing preference data with local privacy: Optimal utility and enhanced robustness S Wang, X Luo, Y Qian, J Du, W Lin, W Yang IEEE Transactions on Knowledge and Data Engineering 35 (8), 7753-7767, 2022 | 12* | 2022 |
| Differentially private frequent itemset mining from smart devices in local setting X Zhang, L Huang, P Fang, S Wang, Z Zhu, H Xu Wireless Algorithms, Systems, and Applications: 12th International …, 2017 | 11 | 2017 |
| Privacy preserving big histogram aggregation for spatial crowdsensing S Wang, L Huang, P Wang, Y Shen, H Xu, W Yang 2015 IEEE 34th International Performance Computing and Communications …, 2015 | 11 | 2015 |
| Shuffle differential private data aggregation for random population S Wang, X Luo, Y Qian, Y Zhu, K Chen, Q Chen, B Xin, W Yang IEEE Transactions on Parallel and Distributed Systems 34 (5), 1667-1681, 2023 | 9 | 2023 |
| PrivAG: Analyzing attributed graph data with local differential privacy Z Liu, L Huang, H Xu, W Yang, S Wang 2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020 | 8 | 2020 |
| Privacy amplification via shuffling: Unified, simplified, and tightened S Wang arXiv preprint arXiv:2304.05007, 2023 | 7 | 2023 |
Liusheng HuangProfessor of Computer Science, University of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
