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 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)

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)

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)