A neural network method for time-dependent inverse source problem with limited-aperture data. - Ping Zhang; Pinchao Meng; Weishi Yin; Hongyu Liu 001 (J. Comput. Appl. Math., 2023)

Solving Inverse Scattering Problem with a Crack in Inhomogeneous Medium Based on a Convolutional Neural Network. - Weishi Yin; Ziyuan Yang 003; Pinchao Meng (Symmetry, 2023)

Weak Galerkin method for the Navier-Stokes equation with nonlinear damping term. - Yue Tai; Xiuli Wang; Weishi Yin; Pinchao Meng (Networks Heterog. Media, 2024)

Deep siamese residual support vector machine with applications to disease prediction. - Xinjia Yang; Pinchao Meng; Zhixia Jiang; Linhua Zhou (Comput. Biol. Medicine, 2025)

A novel method for solving the inverse spectral problem with incomplete data. - Pinchao Meng; Zhaobin Xu; Xianchao Wang; Weishi Yin; Hongyu Liu 001 (J. Comput. Appl. Math., 2025)

A stable neural network for inverse scattering problems with contaminated data. - Jiabao Zhuang; Pinchao Meng; Weishi Yin (Knowl. Based Syst., 2025)