An effective algorithm for the spark of sparse binary measurement matrices. - Fenghua Tong; Lixiang Li 001; Haipeng Peng; Yixian Yang (Appl. Math. Comput., 2020)

How to obtain an accurate gradient for interface problems? - Fenghua Tong; Weilong Wang; Xinlong Feng; Jianping Zhao 001; Zhilin Li 002 (J. Comput. Phys., 2020)

Fourth order compact FD methods for convection diffusion equations with variable coefficients. - Fenghua Tong; Xinlong Feng; Zhilin Li 002 (Appl. Math. Lett., 2021)

Flexible construction of compressed sensing matrices with low storage space and low coherence. - Fenghua Tong; Lixiang Li 001; Haipeng Peng; Yixian Yang (Signal Process., 2021)

Deterministic Constructions of Compressed Sensing Matrices From Unitary Geometry. - Fenghua Tong; Lixiang Li 001; Haipeng Peng; Yixian Yang (IEEE Trans. Inf. Theory, 2021)

Flexible construction of measurement matrices in compressed sensing based on extensions of incidence matrices of combinatorial designs. - Junying Liang; Haipeng Peng; Lixiang Li 001; Fenghua Tong; Yixian Yang (Appl. Math. Comput., 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 001; Xi Fang; Xiaoming Chen (Inf. Sci., 2022)

Construction of Structured Random Measurement Matrices in Semi-Tensor Product Compressed Sensing Based on Combinatorial Designs. - Junying Liang; Haipeng Peng; Lixiang Li 001; Fenghua Tong (Sensors, 2022)

A Chaotic Compressive Sensing Based Data Transmission Method for Sensors within BBNs. - Wei Wu 046; Haipeng Peng; Fenghua Tong; Lixiang Li 001; Binzhu Xie (Sensors, 2022)

Progressive coherence and spectral norm minimization scheme for measurement matrices in compressed sensing. - Fenghua Tong; Lixiang Li 001; Haipeng Peng; Dawei Zhao 001 (Signal Process., 2022)

Image Compressed Sensing Using Multi-Scale Characteristic Residual Learning. - Shumian Yang; Xinxin Xiang; Fenghua Tong; Dawei Zhao 001; Xin Li 002 (ICME, 2023)

Coherence-penalty minimization method for incoherent unit-norm tight frame design. - Fenghua Tong; Dawei Zhao 001; Chuan Chen; Lixiang Li 001 (Signal Process., 2023)

A Chaotic Compressed Sensing-Based Multigroup Secret Image Sharing Method for IoT With Critical Information Concealment Function. - Wei Wu 046; Haipeng Peng; Fenghua Tong; Lixiang Li 001 (IEEE Internet Things J., 2023)

Novel Secure Data Transmission Methods for IoT Based on STP-CS With Multilevel Critical Information Concealment Function. - Wei Wu 046; Haipeng Peng; Fenghua Tong; Lixiang Li 001 (IEEE Internet Things J., 2023)

A secure and effective image encryption scheme by combining parallel compressed sensing with secret sharing scheme. - Junying Liang; Haipeng Peng; Lixiang Li 001; Fenghua Tong; Shuang Bao; Lanlan Wang (J. Inf. Secur. Appl., 2023)

Multi-Interest Granularity Guided Semi-Joint Learning for N-Successive POI Recommendation. - Fuqiang Yu; Fenghua Tong; Dawei Zhao 001; Lijuan Xu 001; Ning Liu (DASFAA (2), 2024)

Designing incoherent unit norm tight frames via block coordinate descent-based alternating projection. - Fenghua Tong; Dawei Zhao 001; Xin Li 002; Lixiang Li 001 (Appl. Math. Comput., 2024)

Maximum bound principle preserving and mass conservative projection method for the conservative Allen-Cahn equation. - Jiayin Li; Jingwei Li; Fenghua Tong (Appl. Math. Lett., 2024)

On the Generalization Ability of Machine-Generated Text Detectors. - Yule Liu; Zhiyuan Zhong; Yifan Liao; Zhen Sun 001; Jingyi Zheng; Jiaheng Wei; Qingyuan Gong; Fenghua Tong; Yang Chen 001; Yang Zhang 016; Xinlei He 001 (CoRR, 2024)

Dual-domain sampling and feature-domain optimization network for image compressive sensing. - Xinxin Xiang; Fenghua Tong; Dawei Zhao 001; Xin Li 002; Shumian Yang (Eng. Appl. Artif. Intell., 2024)

Positivity Preserving and Mass Conservative Projection Method for the Poisson-Nernst-Planck Equation. - Fenghua Tong; Yongyong Cai (SIAM J. Numer. Anal., 2024)

A multi-level privacy-preserving scheme for extracting traffic images. - Xiaofei He 009; Lixiang Li 001; Haipeng Peng; Fenghua Tong (Signal Process., 2024)

Multilevel Privacy Protection for Social Media Based on 2-D Compressive Sensing. - Xiaofei He 009; Lixiang Li 001; Fenghua Tong; Haipeng Peng (IEEE Internet Things J., 2024)

Multitiered Reversible Data Privacy Protection Scheme for IoT Based on Compression Sensing and Digital Watermarking. - Zhufeng Suo; Chao Xia; Donghua Jiang 001; Haipeng Peng; Fenghua Tong; Xiaoming Chen (IEEE Internet Things J., 2024)

An Efficient Image Privacy Preservation Scheme for Smart City Applications Using Compressive Sensing and Multi-Level Encryption. - Xiaofei He 009; Lixiang Li 001; Haipeng Peng; Fenghua Tong (IEEE Trans. Intell. Transp. Syst., 2024)

Multi-Level Privacy Preserving Scheme for Visual IoT Data Based on Compressive Sensing. - Dawei Zhao 001; Le Ju; Fenghua Tong; Fuqiang Yu; Xin Li 002 (CSCWD, 2025)

DCCT-Net: A Network Combined Dynamic CNN and Transformer for Image Compressive Sensing. - Lijuan Xu 001; Haixiao Mei; Fenghua Tong; Dawei Zhao 001; Fuqiang Yu (ICASSP, 2025)

Conservative Crank-Nicolson-type and compact finite difference schemes for modeling the Schrödinger equation with point nonlinearity. - Yong Wu; Fenghua Tong; Xuanxuan Zhou; Yongyong Cai (Appl. Math. Lett., 2025)

TFHSVul: A Fine-Grained Hybrid Semantic Vulnerability Detection Method Based on Self-Attention Mechanism in IoT. - Lijuan Xu 001; Baolong An; Xin Li 002; Dawei Zhao 001; Haipeng Peng; Weizhao Song; Fenghua Tong; Xiaohui Han (IEEE Internet Things J., 2025)