A Compressive Sensing based privacy preserving outsourcing of image storage and identity authentication service in cloud. - Guiqiang Hu; Di Xiao 001; Tao Xiang 001; Sen Bai; Yushu Zhang 001 (Inf. Sci., 2017)

An image coding scheme using parallel compressive sensing for simultaneous compression-encryption applications. - Guiqiang Hu; Di Xiao 001; Yong Wang 009; Tao Xiang 001 (J. Vis. Commun. Image Represent., 2017)

Cross the Chasm: Scalable Privacy-Preserving Federated Learning against Poisoning Attack. - Yiran Li; Guiqiang Hu; Xiaoyuan Liu 002; Zuobin Ying (PST, 2021)

Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers. - Yiyao Liu; Hongwei Li 001; Meng Hao 001; Xilin Zhang; Guiqiang Hu (GLOBECOM, 2023)

Distributed privacy-preserving nested compressed sensing for multiclass data collection with identity authentication. - Mengdi Wang; Di Xiao 001; Jia Liang; Guiqiang Hu (Signal Process., 2023)

Enabling Simultaneous Content Regulation and Privacy Protection for Cloud Storage Image. - Guiqiang Hu; Hongwei Li 001; Guowen Xu; Xinqiang Ma (IEEE Trans. Cloud Comput., 2023)

Efficient Byzantine-Robust and Privacy-Preserving Federated Learning on Compressive Domain. - Guiqiang Hu; Hongwei Li 001; Wenshu Fan; Yushu Zhang 001 (IEEE Internet Things J., 2024)

Lightweight distributed deep learning on compressive measurements for internet of things. - Guiqiang Hu; Yong Hu; Tao Wu; Yushu Zhang; Shuai Yuan 009 (Eng. Appl. Artif. Intell., 2025)