Hui Huang

Orcid: 0000-0002-1049-9023

Affiliations:
  • Southwest University, School of Electronics and Information Engineering, Chongqing, China


According to our database1, Hui Huang authored at least 16 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Fog-driven communication-efficient and privacy-preserving federated learning based on compressed sensing.
Comput. Networks, 2025

2024
Hierarchically Fair and Differentially Private Federated Learning in Industrial IoT Based on Compressed Sensing With Adaptive-Thresholding Sparsification.
IEEE Trans. Ind. Informatics, December, 2024

Secure Low-complexity Compressive Sensing with Preconditioning Prior Regularization Reconstruction.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Prior-based privacy-assured compressed sensing scheme in cloud.
Vis. Comput., March, 2024

2023
Multilevel Privacy Preservation Scheme Based on Compressed Sensing.
IEEE Trans. Ind. Informatics, June, 2023

Hierarchical Privacy-Preserving and Communication-Efficient Compression via Compressed Sensing.
Proceedings of the Data Compression Conference, 2023

2022
Secure Sampling and Low-Overhead Compressive Analysis by Linear Transformation.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Two-Layer Controllable Recovery for Privacy-Preserving Double-Compressed Images.
IEEE Signal Process. Lett., 2022

Multi-level video quality services and security guarantees based on compressive sensing in sensor-cloud system.
J. Netw. Comput. Appl., 2022

Communication-Efficient and Byzantine-Robust Differentially Private Federated Learning.
IEEE Commun. Lett., 2022

Compressing Cipher Images by Using Semi-tensor Product Compressed Sensing and Pre-mapping.
Proceedings of the Data Compression Conference, 2022

Privacy-Assured and Multi-Prior Recovered Compressed Sensing for Image Compression-Encryption Applications.
Proceedings of the Data Compression Conference, 2022

2021
Privacy-Assured FogCS: Chaotic Compressive Sensing for Secure Industrial Big Image Data Processing in Fog Computing.
IEEE Trans. Ind. Informatics, 2021

2019
Serious Challenges and Potential Solutions for the Industrial Internet of Things with Edge Intelligence.
IEEE Netw., 2019

2018
A compression-diffusion-permutation strategy for securing image.
Signal Process., 2018

2017
Harnessing the Hybrid Cloud for Secure Big Image Data Service.
IEEE Internet Things J., 2017


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