A level-set algorithm for the inverse problem of full magnetic gradient tensor data. - Wenbin Li 007; Jianliang Qian (Appl. Math. Lett., 2020)

Newton-type Gauss-Seidel Lax-Friedrichs high-order fast sweeping methods for solving generalized eikonal equations at large-scale discretization. - Wenbin Li 007; Jianliang Qian (Comput. Math. Appl., 2020)

Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet. - Davide Bianchi; Marco Donatelli; Davide Evangelista; Wenbin Li 007; Elena Loli Piccolomini (SSVM, 2023)

Learning on the correctness class for domain inverse problems of gravimetry. - Yihang Chen; Wenbin Li 007 (Mach. Learn. Sci. Technol., 2024)

A Data-Dependent Regularization Method Based on the Graph Laplacian. - Davide Bianchi; Davide Evangelista; Stefano Aleotti; Marco Donatelli; Elena Loli Piccolomini; Wenbin Li 007 (SIAM J. Sci. Comput., 2025)