Levenberg-Marquardt method with general convex penalty for nonlinear inverse problems. - Zhenwu Fu; Bo Han 007; Yong Chen (J. Comput. Appl. Math., 2022)

A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems. - Guangyu Gao; Bo Han 007; Zhenwu Fu; Shanshan Tong (SIAM J. Imaging Sci., 2023)

Stochastic gradient descent method with convex penalty for ill-posed problems in Banach spaces. - Ruixue Gu; Zhenwu Fu; Bo Han 007; Hongsun Fu (CoRR, 2024)

Regularization by double complementary priors for full waveform inversion. - Hongyu Qi; Zhenwu Fu; Yang Li; Bo Han; Longsuo Li (Comput. Geosci., 2025)

An accelerated Bouligand-Landweber method based on projection and Nesterov acceleration for nonsmooth ill-posed problems. - Zhenwu Fu; Yang Li; Yong Chen; Bo Han; Hao Tian (J. Comput. Appl. Math., 2025)

A fast generalized two-point homotopy perturbation iteration with a learned initial value for nonlinear ill-posed problems. - Xiaoyan Zhang; Guangyu Gao; Yang Li; Zhenwu Fu; Bo Han 007 (J. Comput. Appl. Math., 2025)