Area coverage-based worker recruitment under geo-indistinguishability. - Pengfei Zhang 010; Xiang Cheng 003; Sen Su; Ning Wang (Comput. Networks, 2022)

Effective truth discovery under local differential privacy by leveraging noise-aware probabilistic estimation and fusion. - Pengfei Zhang 010; Xiang Cheng 003; Sen Su; Ning Wang (Knowl. Based Syst., 2023)

PrivTDSI: A Local Differentially Private Approach for Truth Discovery via Sampling and Inference. - Pengfei Zhang 010; Xiang Cheng 003; Sen Su; Binyuan Zhu (IEEE Trans. Big Data, 2023)

Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition. - Pengfei Zhang 010; Xiang Cheng 003; Sen Su; Ning Wang (IEEE Trans. Big Data, 2023)

Horizontal multi-party data publishing via discriminator regularization and adaptive noise under differential privacy. - Pengfei Zhang 010; Xiang Fang; Zhikun Zhang 001; Xianjin Fang; Yining Liu; Ji Zhang 001 (Inf. Fusion, 2025)

Maximizing Area Coverage in Privacy-Preserving Worker Recruitment: A Prior Knowledge-Enhanced Geo-Indistinguishable Approach. - Pengfei Zhang 010; Xiang Cheng 003; Zhikun Zhang 001; Youwen Zhu; Ji Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Privacy-Preserving Recommendations With Mixture Model-Based Matrix Factorization Under Local Differential Privacy. - Pengfei Zhang 010; Hong Sun; Zhikun Zhang 001; Xiang Cheng 003; Youwen Zhu; Ji Zhang 001 (IEEE Trans. Ind. Informatics, 2025)