Education Experiences:
2007-2012, PhD, Institute of Mathematics, Academy of Sciences and Systems Science, Chinese Academy of Sciences, Beijing, China
2003-2007, Bachelor of Science, University of Science and Technology of China, Hefei, China
Working Experiences:
2015-now, Renmin University of China
2012-2014, Posdoc, University of Graz, Graz, Austria
Research Areas:
Inverse Problems for Mathematical Physics (especially for acoustic, electromagnetic, and elastic waves)
Mathmatical Imaging Processing
Courses:
Linear Algebra C, Advanced Algebra II, Calculus D
Numerical Linear Algebra, Numerical Methods for Inverse Problems
Papers:
[1] A preconditioned alternating minimization framework for nonconvex and half quadratic regularization, Shengxiang Deng (master student), Ismail Ben Ayed, and Hongpeng Sun*, Inverse Problems and Imaging, 2024, Doi: 10.3934/ipi.2024005, Early Access.
[2] Preconditioned Algorithm for Difference of Convex Functions with Applications to Graph Ginzburg–Landau Model, Xinhua Shen (master student), Hongpeng Sun*, Xuecheng Tai, Multiscale Modeling & Simulation, Vol. 21, Iss. 4 (2023)10.1137/23M1561270.
[3] An efficient augmented Lagrangian method with semismooth Newton solver for total generalized variation, Hongpeng Sun, Inverse Problems and Imaging 2023, 17(2): 381-405. doi: 10.3934/ipi.2022047.
[4] Variatonal image motion estimation by preconditioned dual optimization, Hongpeng Sun*, Xuecheng Tai, and Jing Yuan, Inverse Problems and Imaging, 2023, 17(2):319-337,doi: 10.3934/ipi.2022043.
[5] An Investigation on Semismooth Newton based Augmented Lagrangian Method for Image Restoration, Hongpeng Sun, Journal of Scientific Computing, (2022)92:82.
[6] A Preconditioned Difference of Convex Algorithm for Truncated Quadratic Regularization with Application to Imaging, Shengxiang Deng (master student), Hongpeng Sun*, Journal of Scientific Computing, volume 88, Article number:42(2021).
[7] Efficient and Convergent Preconditioned ADMM for the Potts Models, Sun Hongpeng, Yuan Jing, Tai Xuecheng, SIAM Journal on Scientific Computing (SISC),43(2), B455-B478, 2021.
[8] Sparse reconstructions of acoustic source for inverse scattering problems in measure space, Xiang Xueshuang, Sun Hongpeng*, Inverse Problems, 2020, 36(3):035004.
[9] Analysis of Fully Preconditioned Alternating Direction Method of Multipliers with Relaxation in Hilbert Spaces, Hongpeng Sun, Journal of Optimization Theory and Applications, 2019, 183:199-229.
[10] On a gesture-computing technique using electromagnetic waves, Li Jingzhi, Liu Hongyu, Sun Hongpeng*, Inverse Problems and Imaging, 2018, 12(3): 677-696.
[11] A Proximal-Point Analysis of the Preconditioned Alternating Direction Method of Multipliers, K. Bredies, Sun Hongpeng, Journal of Optimization Theory and Applications, 1-30, 2017.
[12] Preconditioned Douglas-Rachford splitting methods for convex-concave saddle-point problems, K. Bredies, Hongpeng Sun, SIAM Journal on Numerical Analysis, 53(1), 421–444, 2015.
Other papers before 2015 can be found on the Researchgate: https://www.researchgate.net/profile/Hongpeng-Sun
Books/ Monograph:
[1] Book Chapters: Damping mechanisms for regularized transformation-acoustics cloaking, with Jingzhi Li, Hongyu Liu, Contemporary Mathematics, 615(2014), pp. 233-253 (Special issue in honor of Professor Gunther Uhlmann).
