Privacy-Preserving Truth Discovery for Sparse Data in Mobile Crowdsensing Systems. - Feng Liu; Bin Zhu 010; Shaoxian Yuan; Jian Li 031; Kaiping Xue (GLOBECOM, 2021)

A Fog-Aided Privacy-Preserving Truth Discovery Framework over Crowdsensed Data Streams. - Shaoxian Yuan; Bin Zhu 010; Feng Liu; Jian Li 031; Kaiping Xue (GLOBECOM, 2021)

An Incentive-Based Differential Privacy-Preserving Truth Discovery over Streaming Data. - Yaxuan Huang; Feng Liu; Jingcheng Zhao; Shaoxian Yuan; Kaiping Xue; Xianchao Zhang 002 (GLOBECOM, 2022)

Privacy-preserving Truth Discovery with Outlier Detection in Mobile Crowdsensing Systems. - Jingchen Zhao; Bin Zhu 010; Jian Li 031; Shaoxian Yuan; Kaiping Xue; Xianchao Zhang 002 (GLOBECOM, 2022)

Enabling Accurate and Efficient Privacy-Preserving Truth Discovery for Sparse Crowdsensing. - Shaoxian Yuan; Kaiping Xue; Bin Zhu 010; Jingcheng Zhao; Yaxuan Huang; Yuandong Xie; David S. L. Wei (IEEE Trans. Dependable Secur. Comput., 2025)

Private, Accurate and Communication Efficient Clustering Over Vertically Distributed Dataset. - Shaoxian Yuan; Kaiping Xue; Jingcheng Zhao; David S. L. Wei (IEEE Trans. Inf. Forensics Secur., 2025)

Privacy-Preserving Statistical Analysis With Low Redundancy Over Task-Relevant Microdata. - Jingcheng Zhao; Kaiping Xue; Yingjie Xue; Meng Li 006; Bin Zhu 010; Shaoxian Yuan (IEEE Trans. Inf. Forensics Secur., 2025)