A modified block preconditioner for complex nonsymmetric indefinite linear systems. - Hong-Tao Fan; Yan-Jun Zhang; Yajing Li 002 (Appl. Math. Comput., 2019)

A variant of relaxed triangular splitting preconditioners for generalized saddle point problems from Navier-Stokes equations. - Hong-Tao Fan; Xin-Yun Zhu; Yajing Li 002; Bing Zheng (Appl. Math. Comput., 2019)

Relaxed block upper-lower triangular preconditioner for generalized saddle point problems from the incompressible Navier-Stokes equations. - Yajing Li 002; Xin-Yun Zhu; Hong-Tao Fan (J. Comput. Appl. Math., 2020)

Fast and Accurate Low-Rank Tensor Completion Methods Based on QR Decomposition and L2, 1 Norm Minimization. - Hongbing Zhang; Xinyi Liu; Hongtao Fan; Yajing Li 002; Yinlin Ye (CoRR, 2021)

Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery. - Hongbing Zhang; Xinyi Liu; Hongtao Fan; Yajing Li 002; Yinlin Ye (CoRR, 2021)

Tensor Recovery Based on Tensor Equivalent Minimax-Concave Penalty. - Hongbing Zhang; Xinyi Liu; Hongtao Fan; Yajing Li 002; Yinlin Ye (CoRR, 2022)

Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative. - Yinlin Ye; Hongtao Fan; Yajing Li 002; Xinyi Liu; Hongbing Zhang (Neurocomputing, 2022)

An improved two-sweep iteration method for absolute value equations. - Hongbing Zhang; Yanjun Zhang; Yajing Li 002; Hongtao Fan (Comput. Appl. Math., 2022)

An artificial neural network approach for a class of time-fractional diffusion and diffusion-wave equations. - Yinlin Ye; Hongtao Fan; Yajing Li 002; Ao Huang; Weiheng He (Networks Heterog. Media, 2023)

SLeNN-ELM: A shifted Legendre neural network method for fractional delay differential equations based on extreme learning machine. - Yinlin Ye; Yajing Li 002; Hongtao Fan; Xinyi Liu; Hongbing Zhang (Networks Heterog. Media, 2023)

Tensor Recovery Based on a Novel Non-Convex Function Minimax Logarithmic Concave Penalty Function. - Hongbing Zhang; Hongtao Fan; Yajing Li 002; Xinyi Liu; Chang Liu 107; Xin-Yun Zhu (IEEE Trans. Image Process., 2023)

Two new low rank tensor completion methods based on sum nuclear norm. - Hongbing Zhang; Hongtao Fan; Yajing Li 002; Xinyi Liu; Yinlin Ye; Xin-Yun Zhu (Digit. Signal Process., 2023)

Gaussian-impulse mixed noise image recovery based on AB fractional calculus and SNSS priors. - Xinyi Liu; Hongtao Fan; Yajing Li 002; Hongbing Zhang; Yinlin Ye (Digit. Signal Process., 2023)

Tensorial bipartite graph clustering based on logarithmic coupled penalty. - Chang Liu 107; Hongbing Zhang; Hongtao Fan; Yajing Li 002 (Pattern Recognit., 2024)

Tensor recovery based on Bivariate Equivalent Minimax-Concave Penalty. - Hongbing Zhang; Hongtao Fan; Yajing Li 002 (Pattern Recognit., 2024)

Preconditioners based on matrix splitting for the structured systems from elliptic PDE-constrained optimization problems. - Hongtao Fan; Yajing Li 002; Hongbing Zhang; Xin-Yun Zhu (Appl. Math. Comput., 2024)

Stability in Distribution of Highly Nonlinear Hybrid Stochastic Delay Systems by Delay Feedback Control. - Xiaomeng Gao; Yajing Li 002; Hongtao Fan (IEEE Trans. Autom. Control., 2024)

Tensorial multi-view subspace clustering based on logarithmic n-order penalty. - Chang Liu 107; Hongbing Zhang; Hongtao Fan; Yajing Li 002 (Pattern Recognit., 2025)

Stability Analysis of Fractional Bidirectional Associative Memory Neural Networks With Multiple Proportional Delays and Distributed Delays. - Xiaomeng Gao; Yajing Li 002; Xinyi Liu; Yinlin Ye; Hongtao Fan (IEEE Trans. Neural Networks Learn. Syst., 2025)