ACCEL: an efficient and privacy-preserving federated logistic regression scheme over vertically partitioned data. - Jiaqi Zhao 005; Hui Zhu 001; Fengwei Wang; Rongxing Lu; Hui Li 006; Zhongmin Zhou; Haitao Wan (Sci. China Inf. Sci., 2022)

An Efficient and Privacy-Preserving Route Matching Scheme for Carpooling Services. - Qi Xu; Hui Zhu 001; Yandong Zheng; Jiaqi Zhao 005; Rongxing Lu; Hui Li 006 (IEEE Internet Things J., 2022)

CORK: A privacy-preserving and lossless federated learning scheme for deep neural network. - Jiaqi Zhao 005; Hui Zhu 001; Fengwei Wang; Rongxing Lu; Hui Li 006; Jingwei Tu; Jie Shen (Inf. Sci., 2022)

PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework. - Jiaqi Zhao 005; Hui Zhu 001; Fengwei Wang; Rongxing Lu; Zhe Liu 001; Hui Li 006 (IEEE Trans. Inf. Forensics Secur., 2022)

Efficient and Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned Data. - Jiaqi Zhao 005; Hui Zhu 001; Fengwei Wang; Rongxing Lu; Hui Li 006 (GLOBECOM, 2023)

VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic Regression. - Jiaqi Zhao 005; Hui Zhu 001; Fengwei Wang; Rongxing Lu; Ermei Wang; Linfeng Li; Hui Li 006 (IEEE Trans. Cloud Comput., 2023)

SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting Framework. - Jiaqi Zhao 005; Hui Zhu 001; Wei Xu 042; Fengwei Wang; Rongxing Lu; Hui Li 006 (IEEE Trans. Inf. Forensics Secur., 2023)

Efficient and privacy-preserving tree-based inference via additive homomorphic encryption. - Jiaqi Zhao 005; Hui Zhu 001; Fengwei Wang; Rongxing Lu; Hui Li 006 (Inf. Sci., 2023)

UNIRE: Secure Trajectory-User Linking Model Aggregation with Knowledge Transfer. - Jiezhen Tang; Hui Zhu 001; Yandong Zheng; Junpeng Zhang; Fengwei Wang; Jiaqi Zhao 005; Hui Li 006 (TrustCom, 2024)

ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning. - Wei Xu 042; Hui Zhu 001; Yandong Zheng; Fengwei Wang; Jiaqi Zhao 005; Zhe Liu 001; Hui Li 006 (IEEE Trans. Serv. Comput., 2024)

Efficient and Privacy-Preserving Federated Learning Against Poisoning Adversaries. - Jiaqi Zhao 005; Hui Zhu 001; Fengwei Wang; Yandong Zheng; Rongxing Lu; Hui Li 006 (IEEE Trans. Serv. Comput., 2024)

SplitAD: A lightweight and privacy-enhancing vertical federated anomaly detection framework based on hierarchical autoencoders. - Jiaqi Zhao 005; Hui Zhu 001; Junpeng Zhang; Jiezhen Tang; Fengwei Wang; Hui Li 006 (Inf. Sci., 2025)

SGBoost+: Efficient and Privacy-Preserving Vertical Boosting Trees for Federated Outsourced Training and Inference. - Wei Xu 042; Hui Zhu 001; Jiaqi Zhao 005; Yandong Zheng; Fengwei Wang; Baishun Sun; Songnian Zhang; Dengguo Feng (IEEE Trans. Inf. Forensics Secur., 2025)

COKV: Key-Value Data Collection With Condensed Local Differential Privacy. - Junpeng Zhang; Hui Zhu 001; Jiaqi Zhao 005; Rongxing Lu; Yandong Zheng; Jiezhen Tang; Hui Li 006 (IEEE Trans. Inf. Forensics Secur., 2025)