学术论文
- Jiaqi Zhao, Hui Zhu*, Junpeng Zhang, Xiaoyu Kou, Haonan Yan, Fengwei Wang, Hui Li. Plog: An Efficient and Privacy-Preserving Collaborative Learning Framework on Vertically Partitioned Graph Data. IEEE Transactions on Knowledge and Data Engineering (CCF A), 2026, 1-15. (SCI, EI)
- Jiaqi Zhao, Hui Zhu*, Fengwei Wang, Rongxing Lu, Hui Li. SXGB: Secure and Efficient Vertical Federated XGBoost via Trusted Execution Environments. IEEE Transactions on Dependable and Secure Computing (CCF A), 2025, 1-14. (SCI, EI)
- Jiaqi Zhao, Shanpeng Lai, Mingqin Hou, Xiangyang Wang, Gang Yi, Hui Zhu. PVLR: Efficient and Privacy-Preserving Collaborative Logistic Regression on Vertically Partitioned Data. 2025 11th IEEE International Conference on Privacy Computing and Data Security, 2025, 1-8. (EI)
- Jiaqi Zhao, Hui Zhu*, Junpeng Zhang, Jiezhen Tang, Fengwei Wang, Hui Li. SplitAD: A Lightweight and Privacy-Enhancing Vertical Federated Anomaly Detection Framework Based on Hierarchical Autoencoders. Information Sciences, 2025, 714:122211. (SCI, EI)
- 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 (CCF A), 2024, 2320-2333. (SCI, EI)
- 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. (SCI, EI)
- 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 (CCF A), 2023, 18:1022-1036. (SCI, EI)
- 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. (SCI, EI)
- Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li. Efficient and Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned Data. 66th IEEE Global Communications Conference, GLOBECOM 2023, 2023, 1-6. (EI)
- 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. (SCI, EI)
- 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 (CCF A), 2022, 17:2059-2073. (SCI, EI)
- 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 (CCF A), 2022, 65(170307):1-2. (SCI, EI)
- Mingqin Hou, Wei Luo, Jiaqi Zhao*, Chengyu Tan, Shanpeng Lai, Hui Zhu. An Efficient Unbalanced Privacy Set Intersection Scheme Based on Secret Sharing and TEEs. 2026 4th International Conference on Big Data and Privacy Computing, 2026, 1-8. (EI)
- Xiaoyu Kou, Hui Zhu*, Jiezhen Tang, Jiaqi Zhao, Fengwei Wang, Hui Li. CoDa: Privacy-Preserving Multi-Dimensional Dataset Publishing Based on Consistent Data Masking. Information Sciences, 2026, 755:123742. (SCI, EI)
- Junpeng Zhang, Hui Zhu*, Jiaqi Zhao, Mengqian Li, Shuang Zhang, Bin Xie, Hui Li. Achieving Privacy-Preserving and High-Accuracy Collection of Key-Value Data With Local Differential Privacy. IEEE Transactions on Information Forensics and Security (CCF A), 2026, 21:2785-2798.
- Jiezhen Tang, Hui Zhu*, Yandong Zheng, Junpeng Zhang, Fengwei Wang, Jiaqi Zhao, Hui Li. UNIRE: Secure Trajectory-User Linking Model Aggregation with Knowledge Transfer. 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2025, 916-925. (EI)
- Wei Xu, Hui Zhu*, Jiaqi Zhao, Yandong Zheng, Fengwei Wang, Baishun Sun, Songnian Zhang, Dengguo Feng. SGBoost+: Efficient and Privacy-Preserving Vertical Boosting Trees for Federated Outsourced Training and Inference. IEEE Transactions on Information Forensics and Security (CCF A), 2025, 20:8701-8714. (SCI, EI)
- Junpeng Zhang, Hui Zhu*, Jiaqi Zhao, Rongxing Lu, Yandong Zheng, Jiezhen Tang. COKV: Key-Value Data Collection With Condensed Local Differential Privacy. IEEE Transactions on Information Forensics and Security (CCF A), 2025, 20:3260-3273. (SCI, EI)
- Wei Xu, Hui Zhu*, Guozhang He, Jingqiang Lin, Jiaqi Zhao, Rongxing Lu, Dengguo Feng. Collusion-Resistant Privacy-Preserving Outsourced Training Under Single Cloud With Semi-Honest TEE. IEEE Transactions on Dependable and Secure Computing (CCF A), 2025, 1-15. (SCI, EI)
- 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 (CCF A), 2024, 878-892. (SCI, EI)
- Qi Xu, Hui Zhu*, Yandong Zheng, Jiaqi Zhao, Rongxing Lu, Hui Li. An Efficient and Privacy-Preserving Route Matching Scheme for Carpooling Services. IEEE Internet of Things Journal, 2022, 9(20):19890-19902. (SCI, EI)
- 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. (SCI, EI)