Fenghua Tong

According to our database, Fenghua Tong authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multitiered Reversible Data Privacy Protection Scheme for IoT Based on Compression Sensing and Digital Watermarking.

Zhufeng Suo, Chao Xia, Donghua Jiang, Haipeng Peng, Fenghua Tong, Xiaoming Chen

IEEE Internet Things J., April, 2024

Multilevel Privacy Protection for Social Media Based on 2-D Compressive Sensing.

Xiaofei He, Lixiang Li, Fenghua Tong, Haipeng Peng

IEEE Internet Things J., February, 2024

Positivity preserving and mass conservative projection method for the Poisson-Nernst-Planck equation.

Fenghua Tong, Yongyong Cai

CoRR, 2024

2023

A secure and effective image encryption scheme by combining parallel compressed sensing with secret sharing scheme.

Junying Liang, Haipeng Peng, Lixiang Li, Fenghua Tong, Shuang Bao, Lanlan Wang

J. Inf. Secur. Appl., June, 2023

Novel Secure Data Transmission Methods for IoT Based on STP-CS With Multilevel Critical Information Concealment Function.

Wei Wu, Haipeng Peng, Fenghua Tong, Lixiang Li

IEEE Internet Things J., March, 2023

A Chaotic Compressed Sensing-Based Multigroup Secret Image Sharing Method for IoT With Critical Information Concealment Function.

Wei Wu, Haipeng Peng, Fenghua Tong, Lixiang Li

IEEE Internet Things J., January, 2023

Coherence-penalty minimization method for incoherent unit-norm tight frame design.

Fenghua Tong, Dawei Zhao, Chuan Chen, Lixiang Li

Signal Process., 2023

Image Compressed Sensing Using Multi-Scale Characteristic Residual Learning.

Shumian Yang, Xinxin Xiang, Fenghua Tong, Dawei Zhao, Xin Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Progressive coherence and spectral norm minimization scheme for measurement matrices in compressed sensing.

Fenghua Tong, Lixiang Li, Haipeng Peng, Dawei Zhao

Signal Process., 2022

A Chaotic Compressive Sensing Based Data Transmission Method for Sensors within BBNs.

Wei Wu, Haipeng Peng, Fenghua Tong, Lixiang Li, Binzhu Xie

Sensors, 2022

Construction of Structured Random Measurement Matrices in Semi-Tensor Product Compressed Sensing Based on Combinatorial Designs.

Junying Liang, Haipeng Peng, Lixiang Li, Fenghua Tong

Sensors, 2022

Semiconductor superlattice physical unclonable function based two-dimensional compressive sensing cryptosystem and its application to image encryption.

Zhufeng Suo, Youheng Dong, Fenghua Tong, Donghua Jiang, Xi Fang, Xiaoming Chen

Inf. Sci., 2022

Flexible construction of measurement matrices in compressed sensing based on extensions of incidence matrices of combinatorial designs.

Junying Liang, Haipeng Peng, Lixiang Li, Fenghua Tong, Yixian Yang

Appl. Math. Comput., 2022

2021

Deterministic Constructions of Compressed Sensing Matrices From Unitary Geometry.

Fenghua Tong, Lixiang Li, Haipeng Peng, Yixian Yang

IEEE Trans. Inf. Theory, 2021

Flexible construction of compressed sensing matrices with low storage space and low coherence.

Fenghua Tong, Lixiang Li, Haipeng Peng, Yixian Yang

Signal Process., 2021

Fourth order compact FD methods for convection diffusion equations with variable coefficients.

Fenghua Tong, Xinlong Feng, Zhilin Li

Appl. Math. Lett., 2021

2020

How to obtain an accurate gradient for interface problems?

Fenghua Tong, Weilong Wang, Xinlong Feng, Jianping Zhao, Zhilin Li

J. Comput. Phys., 2020

An effective algorithm for the spark of sparse binary measurement matrices.

Fenghua Tong, Lixiang Li, Haipeng Peng, Yixian Yang

Appl. Math. Comput., 2020