Controllable high-capacity separable data hiding in encrypted images by compressive sensing and data pretreatment. - Di Xiao 001; Juan Zhao; Mengdi Wang 005; Yong Wang 009 (Multim. Tools Appl., 2018)

A Novel Privacy-Preserving Data Gathering Scheme in WSN Based on Compressive Sensing and Embedding. - Mengdi Wang 005; Di Xiao 001; Zihang Ao (ICC, 2019)

Privacy-Aware Controllable Compressed Data Publishing Against Sparse Estimation Attack in IoT. - Mengdi Wang 005; Di Xiao 001; Yanping Xiang; Hui Wang 050 (IEEE Internet Things J., 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 005; Jia Liang; Ran Liu (J. Netw. Comput. Appl., 2020)

A Novel High-Capacity Data Hiding in Encrypted Images Based on Compressive Sensing Progressive Recovery. - Di Xiao 001; Fei Li; Mengdi Wang 005; Hongying Zheng (IEEE Signal Process. Lett., 2020)

Privacy-Preserving Compressed Sensing for Image Simultaneous Compression-Encryption Applications. - Bo Zhang 030; Di Xiao 001; Mengdi Wang 005; Jia Liang (DCC, 2021)

Low Complexity Secure P-Tensor Product Compressed Sensing Reconstruction Outsourcing and Identity Authentication in Cloud. - Mengdi Wang 005; Di Xiao 001; Jia Liang (ICASSP, 2021)

Low-Cost and Confidentiality-Preserving Multi-Image Compressed Acquisition and Separate Reconstruction for Internet of Multimedia Things. - Mengdi Wang 005; Di Xiao 001; Yong Xiang 001 (IEEE Internet Things J., 2021)

A novel vehicular task deployment method in hybrid MEC. - Xifeng Xu; Yunni Xia; Feng Zeng; Fan Li; Hong Xie; Xiaodong Fu; Mengdi Wang 005 (J. Cloud Comput., 2022)

Hierarchical Privacy-Preserving and Communication-Efficient Compression via Compressed Sensing. - Hui Huang 008; Di Xiao 001; Mengdi Wang 005 (DCC, 2023)

Distributed privacy-preserving nested compressed sensing for multiclass data collection with identity authentication. - Mengdi Wang 005; Di Xiao 001; Jia Liang; Guiqiang Hu (Signal Process., 2023)

A Novel Structured Task Scheduling Approach in Satellite Edge Computing Environments. - Xifeng Xu; Yunni Xia; Qinglan Peng; Xingli Zhong; Song Zhou; Kai Peng 002; Mengdi Wang 005 (ICWS, 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 005; Min Li 021 (IEEE Trans. Ind. Informatics, 2024)

A Novel Self-Attention-Enhanced Multi-Neighborhood PPO Scheduling Approach for Satellite Edge Computing. - Xifeng Xu; Yunni Xia; Qinglan Peng; Xingli Zhong; Song Zhou; Kai Peng 002; Mengdi Wang 005; Jiale Zhao (ICWS, 2025)

PENOA: A Reinforcement Learning-Enhanced Evolutionary Approach for Task Offloading in Vehicular Edge Computing. - Mengfei He; Xiaoning Sun; Yunni Xia; Xifeng Xu; Jiale Zhao; Mengdi Wang 005 (ICWS, 2025)

Fog-driven communication-efficient and privacy-preserving federated learning based on compressed sensing. - Hui Huang 008; Di Xiao 001; Mengdi Wang 005; Jia Liang; Min Li 021; Lvjun Chen; Yanqi Liu (Comput. Networks, 2025)