学术论文

1. Fengwei Wang, Hui Zhu, Guozhang He, Rongxing Lu, Yandong Zheng, Hui Li. Efficient and Privacy-Preserving Arbitrary Polygon Range Query Scheme Over Dynamic and Time-Series Location Data. IEEE Transactions on Information Forensics and Security, 2023, 18:3414-3429. (中科院一区，CCF A类期刊)
2. Fengwei Wang, Hui Zhu, Rongxing Lu, Yandong Zheng, Hui Li. Achieve Efficient and Privacy-Preserving Disease Risk Assessment Over Multi-Outsourced Vertical Datasets. IEEE Transactions on Dependable and Secure Computing, 2022, 19(3):1492-1504. (中科院二区，CCF A类期刊)
3. Fengwei Wang, Hui Zhu, Xingdong Liu, Yandong Zheng, Hui Li, Jiafeng Hua. Achieving Federated Logistic Regression Training towards Model Confidentiality with Semi-honest TEE. Information Sciences, 2024, 679:121115. (中科院一区，CCF B类期刊)
4. Fengwei Wang, Hui Zhu, Rongxing Lu, Yandong Zheng, Hui Li. A Privacy-Preserving and Non-Interactive Federated Learning Scheme for Regression Training with Gradient Descent. Information Sciences, 2021, 552:183-200. (中科院一区，CCF B类期刊)
5. Fengwei Wang, Hui Zhu, Ximeng Liu, Rongxing Lu, Fenghua Li, Hui Li, Songnian Zhang. Efficient and Privacy-Preserving Dynamic Spatial Query Scheme for Ride-Hailing Services. IEEE Transactions on Vehicular Technology, 2018, 67(11):11084-11097. (中科院二区)
6. Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Zhe Liu, Hui Li. PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework. IEEE Transactions on Information Forensics and Security, 2022, 17:2059-2073. (中科院一区，CCF A类期刊)
7. Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Zhongmin Zhou, Haitao Wan. ACCEL: An Efficient and Privacy-Preserving Federated Logistic Regression Scheme over Vertically Partitioned Data, SCIENCE CHINA Information Sciences, 2022, online, doi: doi/10.1007/s11432-021-3415-1. (中科院一区，CCF A类期刊)
8. Jiaqi Zhao, Hui Zhu, Fengwei Wang, Yandong Zheng, Rongxing Lu, Hui Li. Efficient and Privacy-Preserving Federated Learning Against Poisoning Adversaries. IEEE Transactions on Services Computing, 2024, 1-14. (中科院二区，CCF A类期刊)
9. Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Ermei Wang, Linfeng Li, Hui Li. VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic Regression. IEEE Transactions on Cloud Computing, 2023, 11(4):3326-3340. (中科院二区期刊)
10. Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li. Efficient and Privacy-Preserving Tree-Based Inference Via Additive Homomorphic Encryption. Information Sciences, 2023, 650:119480. (中科院一区，CCF B类期刊)
11. Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Jingwei Tu, Jie Shen. CORK: A Privacy-Preserving and Lossless Federated Learning Scheme for Deep Neural Network. Information Sciences, 2022, 603:190-209. (中科院一区，CCF B类期刊)
12. Jiaqi Zhao, Hui Zhu, Wei Xu, Fengwei Wang, Rongxing Lu, Hui Li. SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting Framework. IEEE Transactions on Information Forensics and Security, 2023, 18:1022-1036. (中科院一区，CCF A类期刊)
13. Wei Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Jiaqi Zhao, Zhe Liu, Hui Li. ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning. IEEE Transactions on Services Computing, 2024, 1-15. (中科院二区，CCF A类期刊)
14. Junpeng Zhang, Hui Zhu, Fengwei Wang, Yandong Zheng, Zhe Liu, Hui Li. iDP-FL: A Fine-Grained and Privacy-Aware Federated Learning Framework for Deep Neural Networks. Information Sciences, 2024, 679:121035. (中科院一区，CCF B类期刊)
15. Junpeng Zhang, Hui Zhu, Fengwei Wang, Jiaqi Zhao, Qi Xu, Hui Li. Security and Privacy Threats to Federated Learning: Issues, Methods, and Challenges. Security and Communication Networks, 2022, 2022:1-24, Article ID 2886795. (CCF C类期刊)
16. Xiaoyu Kou, Fengwei Wang*, Hui Zhu, Yandong Zheng, Xiaopeng Yang, Zhe Liu. Masked image: Visually protected image dataset privacy-preserving scheme for convolutional neural networks. Peer-to-Peer Networking and Applications. 2024, 17:2523–2537. (CCF C类)
17. Hui Zhu, Fengwei Wang, Rongxing Lu, Fen Liu, Gang Fu, Hui Li. Efficient and Privacy-Preserving Proximity Detection Schemes for Social Applications. IEEE Internet of Things Journal, 2018, 5(4):2947-2957. (中科院一区)
18. Jiafeng Hua, Hui Zhu, Fengwei Wang, Ximeng Liu, Rongxing Lu, Hao Li, Yeping Zhang. CINEMA: Efficient and Privacy-Preserving Online Medical Primary Diagnosis with Skyline Query. IEEE Internet of Things Journal, 2019, 6(2):1450-1461. (中科院一区)
19. Xingdong Liu, Hui Zhu, Fengwei Wang, Yandong Zheng, Zhe Liu. Efficient and Privacy-Preserving Neural Network Prediction Scheme with TEE. 2023 IEEE International Conference on Communications, ICC 2023, 2023, 1-6. (CCF C类会议)
20. Fengwei Wang, Hui Zhu, Rongxing Lu, Fen Liu, Cheng Huang, Hui Li. Achieve Efficient and Privacy-Preserving Proximity Detection Scheme for Social Applications. 13th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2017, 2018, 238:339-355. (CCF C类会议)

          更多论文成果请访问：https://scholar.google.com/citations?hl=zh-CN&user=XzoC0TUAAAAJ

发明专利

1. 王枫为, 王昕宇, 朱辉, 郑艳冬, 张松年, 李晖. 一种6G网络中隐私保护的数据分层聚合与查询方法及系统. 陕西省. 专利号: 202510064077.3, 专利申请日: 2025年 01月15日.
2. 王枫为, 何国章, 朱辉, 李晖. 隐私保护的多标签POI信息加密查询方法及系统. 陕西省. 专利号: ZL202410930277.8, 专利申请日: 2024年07月11日
3. 王枫为, 张艳弟, 刘佳琪, 张杰, 刘灏, 朱辉, 李晖. 一种位置隐私保护的实时疾控流调方法. 专利号: ZL202210893765.7, 申请公告日: 2022年07月27日.
4. 郑艳冬, 王枫为, 张松年, 朱辉. 一种安全高效的分布式k-d树构建方法. 陕西省. 专利号: ZL202311437767.6, 专利申请日: 2023年10月31日, 申请公告号: CN117579258A, 申请公告日: 2024年02月20日.
5. 张怡凡, 王枫为, 朱辉, 李晖. 一种防御投毒攻击的高效隐私保护联邦学习方法. 陕西省. 专利号: ZL202410203615.8, 专利申请日: 2024年02月23日, 申请公告号: CN118094618A, 申请公告日: 2024年05月28日.
6. 何国章, 王枫为, 杨晓鹏, 朱辉, 李晖, 薛行策. 6G网络中朴素贝叶斯模型的安全获取方法. 陕西省. 专利号: ZL202311678316.1, 专利申请日: 2023年12月07日, 申请公告号: CN117651272A, 申请公告日: 2024年03月05日.
7. 朱辉, 王枫为, 李晖, 李凤华, 杨晓鹏, 武衡. 一种面向在线打车服务的隐私保护系统及方法. 专利号: ZL201810241147.8, 授权公告日: 2020年11月10日.
8. 李昊, 王枫为, 朱辉, 李晖, 赵家奇, 寇笑语. 一种面向多方协同的贝叶斯分类器安全生成系统及方法. 专利号: ZL201911269984.2, 申请公告日: 2020年05月15日.
9. 朱辉, 王枫为, 寇笑语, 李晖, 朱丹, 华佳烽. 隐私保护的多方诊断模型融合方法及系统、云端服务器. 专利号: ZL201811163660.6, 授权公告日: 2021年07月30日.
10. 朱辉, 赵家奇, 胡国靖, 王枫为, 季琰, 徐奇. 一种隐私保护的神经网络多方协作无损训练方法及系统. 专利号: ZL202110560355.6, 申请公告日: 2021年09月24日.