A Neurodynamic Algorithm for Sparse Signal Reconstruction with Finite-Time Convergence. - Hongsong Wen; Hui Wang; Xing He 001 (Circuits Syst. Signal Process., 2020)

Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function. - Hongsong Wen; Xing He 001; Tingwen Huang (Neural Networks, 2022)

A Two-Layer Distributed Algorithm Using Neurodynamic System for Solving L1-Minimization. - Junpeng Xu; Xing He 001; Xin Han; Hongsong Wen (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Fixed-Time Projection Neural Network for Solving L₁-Minimization Problem. - Xing He 001; Hongsong Wen; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Arbitrary-Time Stable Gradient Flows Using Neurodynamic System for Continuous-Time Optimization. - Hongsong Wen; Xing He 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A fixed-time converging neurodynamic approach with time-varying coefficients for l1-minimization problem. - Jing Xu; Chuandong Li 001; Xing He 001; Hongsong Wen; Xiaoyu Zhang 015 (Inf. Sci., 2024)

Neurodynamic Algorithms With Finite/Fixed-Time Convergence for Sparse Optimization via ℓ1 Regularization. - Hongsong Wen; Xing He 001; Tingwen Huang; Junzhi Yu (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Fixed-time neural networks with time-invariant and time-varying coefficients for mixed variational inequalities. - Hongsong Wen; Xing He 001; Jing Xu; Mingliang Zhou 001; Tingwen Huang (Inf. Sci., 2024)

Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application. - Jing Xu; Chuandong Li 001; Xing He 001; Hongsong Wen (Cogn. Comput., 2024)

A Novel Projection Neural Network for Sparse Optimization With ${L_ mathrm{{1}}}$-Minimization Problem. - Hongsong Wen; Xing He 001; Tingwen Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function. - Jing Xu; Chuandong Li 001; Xing He 001; Hongsong Wen; Xingxing Ju (IEEE Trans. Neural Networks Learn. Syst., 2025)