李文彬 - 哈尔滨工业大学（深圳）

个人简介

教育经历 2005/09-2009/07 四川大学数学学院，理学学士（数学与应用数学） 2009/09-2010/07 四川大学数学学院，硕士研究生（计算数学）。导师：谢小平 2010/08-2014/07 香港科技大学数学系，哲学博士（数学）。导师：梁承裕 (Shingyu Leung)，王筱平 (Xiaoping Wang) 研究与工作经历 2014/08-2017/08 Department of Mathematics, Michigan State University. Postdoctoral Fellow / Visiting Assistant Professor (Supervisor: Jianliang Qian) 2017/09-2020/12 哈尔滨工业大学深圳校区，助理教授，硕士生导师 2021/01-至今哈尔滨工业大学深圳校区，副教授，博士生导师（2023年3月起）科研项目国家自然科学基金-青年科学基金项目 41804096，主持，项目期：2019/01/01-2021/12/31 广东省自然科学基金-面上项目（自由申请） 2018A030313341，主持，项目期：2018/05/01-2021/04/30 深圳市科创委基础研究面上项目 JCYJ20190806144005645， “基于深度学习的数据反演算法与地球成像技术”，主持，项目期：2020/06/01-2023/05/31 深圳市引进人才科研启动项目，“基于人工智能算法的物探数据反演与地球成像技术”，主持，项目期：2018/06-2020/12 哈工大科研启动项目，主持

研究领域

1. 反问题建模与计算（1）偏微分方程反问题计算（2）界面反问题的水平集方法（3）数据驱动的反问题求解、深度学习与反问题（4）地球物理数据分析及成像应用、医疗成像 2. 偏微分方程数值解 Hamilton-Jacobi方程与高频波计算

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Yihang Chen, Wenbin Li*. Learning on correct class for domain inverse problems of gravity data. Preprint 2023. Davide Bianchi, Marco Donatelli, Davide Evangelista, Wenbin Li*, Elena Loli Piccolomini. Graph Laplacian and neural networks for inverse problems in imaging: graphLaNet. Scale Space and Variational Methods in Computer Vision: 9th International Conference, SSVM 2023, Proceedings. Cham: Springer International Publishing, 2023: 175-186. Davide Bianchi, Guanghao Lai, and Wenbin Li*. Uniformly convex neural networks and non-stationary iterated network Tikhonov (iNETT) method. Inverse Problems (2023) 39(5): 055002. Wenbin Li, Jianliang Qian. Kantorovich-Rubinstein metric based level-set methods for inverting modulus of gravity-force data. (In memory of Dr. Victor Isakov.) Inverse Problems and Imaging (2022) 16(6): 1643-1667. Wenbin Li*, Kangzhi Wang, Tingting Fan. A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data. Inverse Problems (2022) 38(7): 075002. Wenqi Ao, Wenbin Li*, Jianliang Qian. A data and knowledge driven approach for SPECT using convolutional neural networks and iterative algorithms. Journal of Inverse and Ill-Posed Problems (2021) 29(4): 543-555. Wenbin Li, Jianliang Qian. Simultaneously recovering both domain and varying density in inverse gravimetry by efficient level-set methods. Inverse Problems and Imaging (2021) 15(3): 387-413. Wenbin Li, Jianliang Qian. A level-set algorithm for the inverse problem of full magnetic gradient tensor data. Applied Mathematics Letters (2020) 107: 106416. Wenbin Li, Jianliang Qian, Yaoguo Li. Joint inversion of surface and borehole magnetic data: A level-set approach. Geophysics (2020) 85(1): J15-J32. Wenbin Li, Jianliang Qian. Newton-type Gauss-Seidel Lax-Friedrichs high-order fast sweeping methods for solving generalized eikonal equations at large-scale discretization. Computers & Mathematics with Applications (2020) 79: 1222-1239. Wenbin Li, Wangtao Lu, Jianliang Qian, Yaoguo Li. A multiple level-set method for 3D inversion of magnetic data. Geophysics (2017) 82(5): J61–J81. Wenbin Li, Jianliang Qian. Joint inversion of gravity and traveltime data using a level-set-based structural parameterization. Geophysics (2016) 81(6): G107-G119. Wenbin Li, Wangtao Lu, Jianliang Qian. A level-set method for imaging salt structures using gravity data. Geophysics (2016) 81(2): G27-G40. Wenbin Li, Shingyu Leung, Jianliang Qian. A level-set adjoint-state method for crosswell transmission-reflection traveltime tomography. Geophysical Journal International (2014) 199(1): 348-367. Wenbin Li, Shingyu Leung. A fast local level set adjoint state method for first arrival transmission traveltime tomography with discontinuous slowness. Geophysical Journal International (2013) 195(1): 582-596. Wenbin Li, Shingyu Leung and Hongkai Zhao. An Eulerian Labeling Method for Computing Multivalued solutions of Eikonal Equations. Preprint.