Some of my codes are available here.

Efficient Primal-Dual methods for optimal transport related gradient flows

GitHub: [https://github.com/Yunhong0335/PDFB-for-optimal-transport]

Description: The code for implementing our PDFB splitting methods proposed in our papers [1, 2].

1. Yunhong Deng and Chaozhen Wei. “A Primal-dual Forward-backward Splitting Method for Cross-diffusion Gradient Flows with General Mobility Matrices.” arXiv preprint arXiv: 2510.27660 (2025).

2. Yunhong Deng and Chaozhen Wei. “Efficient Primal-dual Forward-backward Splitting Method for Wasserstein-like Gradient Flows with General Nonlinear Mobilities.” arXiv preprint arXiv: 2504.12713 (2025).

Variational methods for image regularization

GitHub: [https://github.com/Yunhong0335/Variational-Methods-for-Image-Regulartization]

Description: This project contains some of my implementation of variational methods for image regularization inverse problems during my study, including the well-known ROF total-variation model [1], and the fascinating curvature model by Antonin Chambolle, and Thomas Pock [2].

1. Leonid I. Rudin, Stanley Osher, and Emad Fatemi. "Nonlinear total variation based noise removal algorithms." Physica D: nonlinear phenomena 60. 1-4 (1992): 259-268.

2. Antonin Chambolle, and Thomas Pock. "Total roto-translational variation." Numerische Mathematik 142.3 (2019): 611-666.