A visually secure image encryption scheme based on parallel compressive sensing. - Hui Wang 050; Di Xiao 001; Min Li 021; Yanping Xiang; Xinyan Li (Signal Process., 2019)

Low-cost and high-efficiency privacy-protection scheme for distributed compressive video sensing in wireless multimedia sensor networks. - Di Xiao 001; Min Li 021; Mengdi Wang; Jia Liang; Ran Liu (J. Netw. Comput. Appl., 2020)

Smart Privacy Protection for Big Video Data Storage Based on Hierarchical Edge Computing. - Di Xiao 001; Min Li 021; Hongying Zheng (Sensors, 2020)

Privacy-Assured and Multi-Prior Recovered Compressed Sensing for Image Compression-Encryption Applications. - Hui Huang 008; Di Xiao 001; Min Li 021 (DCC, 2022)

Communication-Efficient Federated Learning Based on Chained Secure Multiparty Computing and Compressed Sensing. - Di Xiao 001; Pengcen Jiang; Min Li 021 (HPCC/DSS/SmartCity/DependSys, 2022)

Compressed Sensing by Using Measurement Completion for Robust Image Coding. - Bo Zhang 030; Di Xiao 001; Sen Bai; Min Li 021 (HPCC/DSS/SmartCity/DependSys, 2022)

Communication-Efficient and Secure Federated Learning Based on Adaptive One-Bit Compressed Sensing. - Di Xiao 001; Xue Tan; Min Li 021 (ISC, 2022)

Communication-Efficient and Byzantine-Robust Differentially Private Federated Learning. - Min Li 021; Di Xiao 001; Jia Liang; Hui Huang 008 (IEEE Commun. Lett., 2022)

Multi-level video quality services and security guarantees based on compressive sensing in sensor-cloud system. - Min Li 021; Di Xiao 001; Hui Huang 008; Bo Zhang 030 (J. Netw. Comput. Appl., 2022)

Robust Watermarking Scheme in Encrypted Domain Based on Integer Lifting Wavelet Transform and Compressed Sensing. - Di Xiao 001; Qin Tang; Aozhu Zhao; Min Li 021 (ICASSP, 2023)

Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data. - Di Xiao 001; Jinkun Li; Min Li 021 (ICONIP (15), 2023)

Invertible Privacy-Preserving Adversarial Reconstruction for Image Compressed Sensing. - Di Xiao 001; Yue Li; Min Li 021 (Sensors, 2023)

Multilevel Privacy Preservation Scheme Based on Compressed Sensing. - Jia Liang; Di Xiao 001; Hui Huang 008; Min Li 021 (IEEE Trans. Ind. Informatics, 2023)

Cipher-image coding via 2D compressive sensing and cipher-domain mapping. - Bo Zhang 030; Di Xiao 001; Min Li 021; Kai Wang (Digit. Signal Process., 2024)

Prior-based privacy-assured compressed sensing scheme in cloud. - Hui Huang 008; Di Xiao 001; Jia Liang; Min Li 021 (Vis. Comput., 2024)

Manipulable, reversible and diversified de-identification via face identity disentanglement. - Di Xiao 001; Jingdong Xia; Min Li 021; Maolan Zhang (Multim. Tools Appl., 2024)

Hierarchically Fair and Differentially Private Federated Learning in Industrial IoT Based on Compressed Sensing With Adaptive-Thresholding Sparsification. - Xue Tan; Di Xiao 001; Hui Huang 008; Mengdi Wang; Min Li 021 (IEEE Trans. Ind. Informatics, 2024)

Fog-driven communication-efficient and privacy-preserving federated learning based on compressed sensing. - Hui Huang 008; Di Xiao 001; Mengdi Wang; Jia Liang; Min Li 021; Lvjun Chen; Yanqi Liu (Comput. Networks, 2025)

ACPP-MIH: A robust multiple image hiding framework with adaptive cover image privacy protection. - Yu Ren; Di Xiao 001; Lvjun Chen; Min Li 021 (Expert Syst. Appl., 2025)

Communication-privacy-accuracy trade-offs in federated learning for non-IID data with shuffle model. - Di Xiao 001; Xinchun Fan; Lvjun Chen; Min Li 021; Maolan Zhang (Knowl. Based Syst., 2025)

Adaptive compressed learning boosts both efficiency and utility of differentially private federated learning. - Min Li 021; Di Xiao 001; Lvjun Chen (Signal Process., 2025)

Communication-Efficient and Utility-Enhanced Local Differential Privacy-Based Personalized Federated Compressed Learning. - Min Li 021; Di Xiao 001 (IEEE Trans. Netw. Sci. Eng., 2025)