王彦飞

王彦飞 (Yanfei Wang)，男，中国科学院地质与地球物理研究所研究员。任中国科学院油气资源研究重点实验室主任，地球科学大数据与人工智能中心主任，大数据分析方法与智能计算学科组组长。 1997年河北师范大学数学系毕业，2002年获得中国科学院计算数学与科学工程计算研究所博士学位(师从中国科学院院士、美国工业与应用数学学会(SIAM)会士、AMS会士-袁亚湘研究员)。2001年以来，发表学术论文100余篇，并由科学出版社在“计算方法丛书”系列出版合著《反问题的数值解法》，由高等教育出版社在“当代科学前沿论丛”出版专著《反演问题的计算方法及其应用》。 曾获得中国科学院彭荫刚奖一等奖，中国科学院院长奖优秀奖，中国科学院首届卢嘉锡青年人才奖，中国运筹学会青年科技奖，中国地球物理学会青年科技奖，中国青年科技奖。作国际会议特邀大会报告9次(2006-2015)。 2006年应邀成为美国数学会（AMS）“数学评论（Mathematical Reviews）”评论员，应邀成为美国光学学会（OSA）会员。2008年应邀成为美国科学与工程反演学会指导委员会成员，应邀成为美国Inverse Problems in Science and Engineering刊物(Taylor & Francis)的编委。2010年应邀成为德国International Journal on Geomathematics刊物(Springer)的编委。2011年应邀成为俄罗斯Jounal of Inverse and Ill-posed Problems刊物（Walter De Gruyter）的编委。2012年应邀成为Eurasian Journal of Mathematical and Computer Applications刊物的编委。2015年成为美国勘探地球物理学会(SEG)的Active Member。现任Petroleum Science副主编。 曾先后访问过美国(2003-2004（博士后，合作导师：AMS会士, M. Z. Nashed教授）, 2007, 2015)、俄罗斯(2006, 2008-2015)、奥地利(2007)、日本(2007)、挪威(2010)、法国(2010)、哈萨克斯坦(2012)、澳大利亚(2014)等国和香港地区(多次)进行学术交流与合作。2013年获国家杰出青年科学基金资助。2016年获国家自然科学基金重大研究计划项目资助。2018年获国家重点研发计划项目资助。 主持中国科学院知识创新工程重要方向性项目一项，先导专项课题一项，重大科研装备研制项目课题一项，国家自然科学基金四项，国家基金委国际合作项目三项，人事部留学归国人员择优资助项目一项，科技部“中奥科技合作”项目一项，科技部973项目子课题一项以及主持多项中、外企业项目。

作国际会议特邀大会报告9次(2006-2015)；并曾获得：

专利 (Patents)：

申报专利10多项

软件著作权 (Computer Software Copyright)：

·获软件著作权1项 1. 页岩微纳米CT图像重构及成分分析软件(AIMCA V1.0), 登记号：2019SR0593826 (授权：中华人民共和国国家版权局)

Thesis:

Ph D Thesis:反问题的优化与正则化算法 （On the optimization and regularization algorithms for inverse problems），丛编题名: AMSS-博士学位论文；出版发行项: AMSS-AMSS， 2002； 载体信息: 154 页； 29-30 cm；科图分类法类号: LW000468； 论题主题: 计算数学 (advisor: Prof. Dr. Yaxiang Yuan (袁亚湘院士、研究员))

Books (Monographs and Edited Volumes):

[8] 王彦飞, A. G. 亚格拉，等, 反问题基本理论-积分方程：变分计算及应用, 2019.

[7] Yanfei Wang and A G Yagola, Guest Editors, Journal of Inverse and Ill-posed Problems, Vol. 26, No. 1, 2016.

[6] A G Yagola, Yanfei Wang, И. Э. Степанова, В. Н. Титаренко, Inverse Problems and Recommended Solutions. Applications to Geophysics (ОБРАТНЬΙΕ ЗАДАЧИ И МЕТОДЫ ИХ РЕШЕНИЯ.приложения к геофизике), Moscow: BINOM, 2014.

[5] Yanfei Wang, A G Yagola and C C Yang editors, Computational Methods for Applied Inverse Problems, published in “Series: Inverse and Ill-Posed Problems Series 56”, Walter de Gruyter, ISBN 978-3-11-025905-6, 2012. Contents of the book: 【PDF】 Visit at: http://www.degruyter.com/viewbooktoc/product/129837

[4] 王彦飞, I. E. 斯捷潘诺娃, V. N. 提塔连科, A. G. 亚格拉,地球物理数值反演问题 (Inverse Problems in Geophysics and Solution Methods)，高等教育出版社[全球变化与地球系统科学系列丛书]，2011年6月. Contents of the book: 【PDF】

[3] Yanfei Wang, A G Yagola and C C Yang editors, Optimization and Regularization for Computational Inverse Problems and Applications, Springer, 1st Edition., 2011, 400 p. 36 illus., Hardcover, ISBN: 978-3-642-13741-9. (Distributed in China, May 2010) Contents of the book: 【PDF】 Visit at: http://www.springer.com/mathematics/numerical+and+computational+mathematics/book/978-3-642-13741-9

[2] 王彦飞, 反演问题的计算方法及其应用 (Computational Methods for Inverse Problems and Their Applications), 高等教育出版社[当代科学前沿论丛], 2007. Contents of the book: 【PDF】

[1] 肖庭延,于慎根,王彦飞,反问题的数值解法 (Numerical Methods for the Solution of Inverse Problems), 科学出版社[计算方法丛书], 2003. (2006年第3次印刷) Contents of the book: 【PDF】

Invited Book Chapters/Proceedings Papers:

[5]Yanfei Wang and W Q Liang, Chapter: “Optimized Finite-difference Methods for Seismic Acoustic Waves Modeling” of the book 《Computational and Experimental Studies of Acoustic Waves》, DOI: http://dx.doi.org/10.5772/intechopen.71647, 2018.

[4] Yanfei Wang and J J Cao, Chapter 10: "Seismic data regularization and imaging based on compressive sensing and sparse optimization" of the book 《Compressive Sensing of Earth Observations》, C. Chen, Editor, CRC Press ([Book # K29608]), pp. 227-255, 2017.

[3] Yanfei Wang, Sparse optimization methods for seismic wavefields recovery, Trudy Instituta Matematiki i Mekhaniki UrO RAN (Proc. Inst. Math. Mech.), Vol. 18, No.1, pp. 42-55, 2012. 【PDF】

[2] Yanfei Wang, Chapter 26: "Quantitative Remote Sensing Inversion in Earth Science: Theory and Numerical Treatment" of the book《Handbook of Geomathematics》, W. Freeden, Z. Nashed, T. Sonar and C. Heine, Editors, Springer Verlag, Heidelberg, Spring, 2010. 【PDF】

[1] Yanfei Wang, C C Yang and X W Li, Chapter 12: "Kernel-based Quantitative Remote Sensing Inversion" of the book 《Kernel Methods for Remote Sensing Data Analysis》, G. Camps-Valls and L. Bruzzone, Editors, Wiley and Sons, pp.271-299, 2009.

Journal papers (SCI): (If you have difficulties to get the paper you are interested with by yourself, you can get it simply by sending me an email either with your name printed out or anonymous [这些文章可以通过给作者发email获取])

[90] Y F Wang, S F Fan, et al., Non-smooth regularization and fast optimization algorithm for micropore reconstruction of shale (页岩微米孔隙重构的非光滑正则化及快速梯度优化算法), Chinese Journal of Geophysics-Chinese Edition(地球物理学报), 63(1), 2020.

[89] Y Wang, L H Wang, J Q Wang, Z Jiang, C C Wang, Y Fu, Y F Song, Y F Wang, D Z Liu, C Jin, Multiscale characterization of three-dimensional pore structures in a shale gas reservoir: A case study of the Longmaxi shale in Sichuan basin, China, Journal of Natural Gas Science and Engineering, 66: 207-216, 2019.

[88] Y P Zhang and Y F Wang, Three-dimensional gravity-magnetic cross-gradient joint inversion based on structural coupling and a fast gradient method, Journal of Computational Mathematics, 37(6): 758-777, 2019.

[87] Y F Wang, D V Lukyanenko and A G Yagola, Magnetic parameters inversion method with full tensor gradient data, Inverse Problems and Imaging, 13(4): 745-754, 2019.

[86] Y F Wang, L L Rong, L Q Qiu, D V Lukyanenko and A G Yagola, Magnetic susceptibility inversion method with full tensor gradient data using low temperature SQUIDs, Petroleum Science, 16(4): 794-807, 2019.

[85] S S Luo, Y C Zhang, T Zhou, J P Song and Y F Wang, XCT Image Reconstruction by a Modified Superiorized Iteration and Theoretical Analysis, Optimization Methods and Software, 2019.

[84] A S Leonov, Y F Wang and A G Yagola, Piecewise uniform regularization for the inverse problem of microtomography with a-posteriori error estimate, Inverse Problems in Science and Engineering, DOI: 10.1080/17415977.2018.1561676, 2019.

[83] S X Ji, H Zhang, Y F Wang, L L Rong, Y L Shi and Y S Chen, Three-dimensional inversion of full magnetic gradient tensor data based on hybrid regularization method, Geophysical Prospecting, Vol. 67, 226-261, 2019.

[82] W Tang, Y F Wang, Application of regularizing Kaczmarz algorithm in shale Nano-CT reconstruction (正则化Kaczmarz算法在页岩纳米CT重构中的应用), Chinese Journal of Geophysics-Chinese Edition(地球物理学报), Vol. 61(11), 4598-4612, 2018.

[81] W Q Liang, X Wu, Y F Wang, J J Cao, C F Wu and B Q He, A new staggered grid finite difference scheme optimised in the space domain for the first order acoustic wave equation, Exploration Geophysics, Vol. 49(6), 898-905, 2018.

[80] W Q Liang, X Wu, Y F Wang and C C Yang, A simplified staggered-grid finite-difference scheme and its linear solution for the first-order acoustic wave-equation modeling, Journal of Computational Physics, Vol. 374, 863-872, 2018.

[79] F M Xu and Y F Wang, Recovery of seismic wavefields by an Lq-norm constrained regularization method, Inverse Problems and Imaging, Vol. 12, 1157-1172, 2018.

[78] L P Wang and Y F Wang, A joint matrix minimization approach for seismic wavefield recovery, Scientific Reports (Springer Nature), Vol. 8, 2188, DOI:10.1038/s41598-018-20556-1, 2018.

[76] Y Wang, L H Wang, J Q Wang, Z Jiang, C Jin and Y F Wang, Comparisons of mineralogy and organic matter occurrence within different shale lithofacies using SEM, Journal of Natural Gas Science and Engineering, Vol. 49, 56-65, 2018.

[75] Y F Wang and A Q Zou, Regularization and optimization methods for micro pore structure analysis of shale based on neural networks (基于神经网络的页岩微纳米孔隙微结构分析的正则化和最优化方法), Acta Petrologica Sinica (岩石学报), Vol. 34, 281-288, 2018.

[74] J Hou and Y F Wang, Least-squares Kirchhoff migration with nonsmooth regularization strategy for subsurface imaging, Exploration Geophysics, Vol. 49(6), 793-802, 2018.

[73] Z C Yan and Y F Wang, Full waveform inversion with sparse structure constrained regularization, Journal of Inverse and Ill-posed Problems,Vol. 26(2): 243-257, 2018.

[72] Y F Wang and S F Fan, Weighted L1-norm constrained sparse regularization and alternating directions method of multipliers for seismic time-frequency analysis, Science China (中国科学) , Vol. 48, 457-470, 2018.

[71] Y Wang, L H Wang, J Q Wang, Z Jiang, C Jin and Y F Wang, Investigating microstructure of longmaxi shale in shizhu area, sichuan basin, by optical microscopy, scanning electron microscopy and micro-computed tomography. Nuclear Science and Techniques, 28(11), 163, 2017.

[70] J Tang and Y F Wang, PP and PS joint inversion with a posterior constraint with the particle filtering, Journal of Geophysics and Engineering, Vol. 14, 1399-1412, 2017.

[69] Y F Wang, J Tang, W F Geng and C X Wang, Sparse solution of PP-PS joint inversion with constraint of particle filtering(带粒子滤波约束的PP-PS联合反演的稀疏解算法), Chinese Journal of Geophysics (地球物理学报), Vol. 61, 1169-1177, 2018.

[68] C Yu, J Zhao, Y Wang and Z Qiu, Sparse diffraction imaging method using an adaptive reweighting homotopy algorithm, Journal of Geophysics and Engineering, Vol. 14, 26-40, 2017.

[67] C Yu, J Zhao and Y Wang, Revealing small-scale diffracting discontinuities by an optimization inversion algorithm, Journal of Geophysics and Engineering, Vol. 14, 1-14, 2017.

[66] Y Wang, S Luo, L Wang, J Wang and C Jin, Synchrotron radiation-based L1-norm regularization on micro-CT imaging in shale structure analysis, Journal of Inverse and Ill-posed Problems, Vol. 25 (4): 483-497, 2017..

[65] C Yu, J Zhao, Y Wang, C X Wang and W F Geng, Separation and imaging diffractions by a sparsity-promoting model and subspace trust-region algorithm, Geophys. J. Int., Vol. 208, 1756-1763, 2017.

[64] C Yu, J Zhao, Y Wang, Seismic detection method for small-scale discontinuities based on dictionary learning and sparse representation, Journal of Applied Geophysics, Vol. 137, 55-62, 2017.

[63] P Liu and Y F Wang, Seismic data decomposition and reconstruction with sparse Gaussian beams and sparse optimization method, Exploration Geophysics, Vol. 49, 50-57, DOI: http://dx.doi.org/10.1071/EG15114, 2018.

[62] W Tang and Y F Wang, Iterative regularization methods for phase retrieval TIE equation in space domain (基于TIE方程的空间域相位恢复迭代算法), Chinese Journal of Geophysics (地球物理学报), Vol. 60 (5), 1851-1860, 2017.

[61] S X Ji, Y F Wang and A Q Zou, Regularizing inversion of susceptibility with projection onto convex set using full tensor magnetic gradient data, Inverse Problems in Science and Engineering, Vol. 25(2), 202-217, 2017.

[60] C X Yu, Y F Wang and J T Zhao, A seismic diffraction extraction method for study of discontinuous geologies using regularization algorithm, Exploration Geophysics, Vol. 48(1), 49-55, 2017.

[59] Y F Wang, W Q Liang, M Z Nashed and C C Yang, Determination of finite difference coefficients for the acoustic wave equation using regularized least-squares inversion, Journal of Inverse and Ill-posed Problems, Vol. 24 (6), 743-760, 2016.

[58] Y Wang, J Pu, L H Wang, J Q Wang, Z Jiang, Y F Song, C C Wang; Y F Wang, C Jin, Characterization of typical 3D pore networks of Jiulaodong formation shale using nano-transmission X-ray microscopy, Fuel, Vol. 170, 84-91, 2016.

[57] W Q Liang, Y F Wang and C C Yang, Determining the finite difference weights for the acoustic wave equation by a new dispersion-relationship-preserving method, Geophysical Prospecting, Vol. 63, 11-22, 2015. 【PDF】

[56] J T Zhao, Y F Wang and C X Yu, Diffraction imaging by uniform asymptotic theory and the double exponential fitting, Geophysical Prospecting, Vol. 63, 338-353, 2015. 【PDF】

[55] W Q Liang, Y F Wang and C C Yang, Comparison of numerical dispersion for acoustic VTI finite-difference algorithms, J. Geophys. Eng., Vol. 12, 108-113, 2015. 【PDF】

[54] Y Cui and Y F Wang, Tikhonov regularization and gradient descent algorithms for tomography using first-arrival seismic traveltimes (基于初至波走时层析成像的Tikhonov正则化与梯度优化算法), Chinese Journal of Geophysics (地球物理学报), Vol. 58, No. 4, 1367-1377, 2015. 【PDF】

[53] M C Shu and Y F Wang, The posterior constrained regularization method on reservoir density inversion (储层重力密度反演后验约束正则化方法), 地球物理学报 (Chinese Journal of Geophysics), Vol. 58, No., 6, 2079-2086, 2015. 【PDF】

[52] J J Cao, Y F Wang and B F Wang, Accelerating seismic interpolation with a gradient projection method based on tight frame property of curvelet, Exploration Geophysics, Vol. 46, 253-260, 2015. 【PDF】

[51] J J Cao and Y F Wang, Seismic data restoration with a fast L1 norm trust region method, J. Geophys. Eng., Vol. 11, No. 4, 045010, doi:10.1088/1742-2132/11/4/045010, 2014. 【PDF】

[50] W Q Liang, Y F Wang and C C Yang, Comparison of numerical dispersion in acoustic finite-difference algorithms, Exploration Geophysics, http://dx.doi.org/10.1071/EG13072, 2014.

[49] Y. H. Du, J. O. Wang, L. H. Jiang, L. S. Borgna, Y. F. Wang, Y. Zheng and T. D. Hu, Data analysis method to achieve sub-10-picometer spatial resolution using extended x-ray absorption fine structure spectroscopy, Journal of Synchrotron Radiation, Vol. 21, 1-6, DOI:10.1107/S1600577514010406, 2014. 【PDF】

[48] Y F Wang, W Q Liang, Z Nashed, X Li, G H Liangand C C Yang, Seismic modeling by optimizing regularized staggered-grid finite-difference operators using a time-space domain dispersion relationship preserving method, Geophysics, Vol. 79, No.5, T277-T285, DOI: 10.1190/GEO2014-0078.1, 2014. 【PDF】 (Most-Read Articles at the beginning of the month in Geophysics)

[47] T Sun and Y F Wang, Adaptive surface-related multiple subtraction using sparse norm minimization method, Optimization Methods and Software, Vol. 29, No. 2, 341-352, 2014.

[46] Z H Li and Yanfei Wang, A subspace trust-region method for seismic migration inversion, Optimization Methods and Software, Vol. 29, No. 2, 286-296, 2014. 【PDF】

[45] C X Yu, Y F Wang, J T Zhao and Z L Wang, Double parameterized regularization inversion method for migration velocity analysis in transversely isotropic media with a vertical symmetry axis, Geophysical Prospecting, Vol. 62, 1040-1053, DOI: 10.1111/1365-2478.12117, 2014. 【PDF】

[44] H Y Cai, Y F Wang and T Yi, An approach for minimizing a quadratically constrained fractional quadratic problem with application to the communications over wireless channels, Optimization Methods and Software, Vol.29, No.2, 310-320, 2014. 【PDF】

[43] P Liu, Y F Wang, M M Yang, C C Yang, B.B. Sholpanbaev, Zh.O.Oralbekova, Seismic data decomposition using sparse Gaussian beams (地震数据的稀疏高斯束分解方法研究), 地球物理学报 (Chinese Journal of Geophysics), Vol. 56, No. 11, 3887-3895, 2013.

[42.1] W Q Liang, C C Yang, Y F Wang and H W Liu, Acoustic wave equation modeling with new time-space domain finite difference operators (用于声波方程数值模拟的时间-空间域有限差分系数确定新方法), 地球物理学报 (Chinese Journal of Geophysics), Vol. 56, No. 10, 3497-3506, 2013. 【PDF】

[42.2] W Q Liang, C C Yang, Y F Wang and H W Liu, Acoustic wave equation modeling with new time-space domain finite difference operators,Chinese Journal of Geophysics，2013.

[41] Y F Wang, Comparison of interferometric migration and preconditioned regularizing least squares migration inversion methods in seismic imaging (地震波干涉偏移及预条件正则化最小二乘偏移成像方法研究), 地球物理学报 (Chinese Journal of Geophysics), Vol. 56, No. 1, 230-238, 2013. 【PDF】

[40] Y F Wang, P Liu, Z H Li, T Sun, C C Yang and Q S Zheng, Data regularization using Gaussian beams decomposition and sparse norms, Journal of Inverse and Ill-posed Problems, Vol.21, 1-23, 2013.【PDF】

[39] Y F Wang, Y Zhang, D V Lukyanenkob and A G Yagola, Recovering aerosol particle size distribution function on the set of bounded piecewise-convex functions, Inverse Problems in Science and Engineering, Vol.21, No.2, 339-354, 2013. 【PDF】

[38.1] J J Cao, Yanfei Wang and C C Yang, Seismic data restoration based on compressive sensing using the regularization and zero-norm sparse optimization (地震数据压缩重构的正则化与0范数稀疏最优化方法) , 地球物理学报 (Chinese Journal of Geophysics), Vol. 55, No. 2, 596-607, 2012. 【PDF】

[38.2] J J Cao, Yanfei Wang and C C Yang, Seismic data restoration based on compressive sensing using the regularization and zero-norm sparse optimization, Chinese Journal of Geophysics, Vol. 55, No. 2, 239-251, 2012.

[37] Yanfei Wang, C C Yang and J J Cao, On Tikhonov regularization and compressive sensing for seismic signal processing, Mathematical Models and Methods in Applied Sciences, Vol.22, No.2, 1150008-1-1150008-24, DOI: 10.1142/S0218202511500084,2012. 【http://dx.doi.org/10.1142/S0218202511500084】

[36] Yanfei Wang, Preconditioning Non-monotone Gradient Methods for Retrieval of Seismic Reflection Signals, Advances in Computational Mathematics, Vol. 36 (Issue 2), 353-376, DOI: 10.1007/s10444-011-9207-2, 2012. 【PDF】

[35] Yanfei Wang, Regularization for inverse models in remote sensing, Progress in Physical Geography, Vol. 36 (Issue 1), 38-59, DOI: 10.1177/0309133311420320, February 2012. 【PDF】

[34] Yanfei Wang, J J Cao and C C Yang, Recovery of seismic wavefields based on compressive sensing by an $l_1$-norm constrained trust region method and the piecewise random sub-sampling, Geophysical Journal International, Vol. 187, 199-213. DOI: 10.1111/j.1365-246X.2011.05130.x, 2011. 【PDF】

[33.1] Z H Li, Yanfei Wang and C C Yang, 正则化偏移成像的全局优化快速算法, 地球物理学报 (Chinese Journal of Geophysics), Vol. 54, No. 3, 828-834, 2011. 【PDF】

[33.2] Z H Li, Yanfei Wang and C C Yang, A fast global optimization algorithm for regularized migration imaging, Chinese Journal of Geophysics, Vol. 54, No. 3, 240-247, 2011. 【PDF】

[32] J J Cao, Yanfei Wang, J T Zhao and C C Yang, A Review on Restoration of Seismic Wavefields Based on Regularization and Compressive Sensing, Inverse Problems in Science and Engineering,Vol. 19, No. 5, 679-704, 2011. 【PDF】

[31] Yanfei Wang, Seismic Impedance Inversion Using $l_1$-Norm Regularization and Gradient Descent Methods, J. Inv. Ill-Posed Problems, Vol. 18, 823-838, online in 2010, printed in 2011. 【PDF】

[30] Yanfei Wang and C C Yang, Accelerating migration deconvolution using a non-monotone gradient method, Geophysics, Vol. 75, No. 4., S131-S137, DOI: 10.1190/1.3457923, 2010. 【PDF】

[29] Yanfei Wang and S Q Ma, A fast subspace method for image deblurring, Applied Mathematics and Computation, Vol. 215, No. 6, 2359-2377, 2009. 【PDF】

[28] Y Cui, Yanfei Wang and C C Yang, Regularizing Method with A Priori Knowledge for Seismic Impedance Inversion (带先验知识的地震波阻抗反演的正则化方法研究), 地球物理学报 (Chinese Journal of Geophysics (formerly knowns as Acta Geophysica Sinica)), Vol. 52, No. 8, 2135-2141, 2009. (in Chinese)

[27] Yanfei Wang, Jianzhong Zhang, Andreas Roncat, Claudia Kunzer and Wolfgang Wagner, Regularizing method for the determination of the backscatter cross-section in Lidar data, Journal of Optical Society of America A, Vol. 26, No. 5, pp.1071-1079, 2009. 【PDF】

[26] Yanfei Wang, J J Cao, Y X Yuan, C C Yang and N H Xiu, A regularizing active set method for ill-posed multichannel image restoration problem, Applied Optics, Vol. 48, No.7, pp.1389–1401, 2009. 【PDF】

[25.1] Yanfei Wang, C C Yang and Q L Duan, 地震偏移反演成像的迭代正则化方法研究, 地球物理学报 (Chinese Journal of Geophysics), Vol.52, No.6, pp. 1615-1624, 2009. 【PDF】

[25.2] Yanfei Wang, C C Yang and Q L Duan, On Iterative Regularization Methods for Seismic Migration Inversion Imaging , Chinese Journal of Geophysics (formerly knowns as Acta Geophysica Sinica), Vol.52, No.3, pp. 704-715, 2009. 【PDF-P1】【PDF-P2】

[24] Yanfei Wang, Y H Du, T D Hu, Projected Gradient Methods for Synchrotron Radiation Spectra Distribution Function Reconstruction, Inverse Problems in Science and Engineering, Vol.17, No.2, pp.175-186, 2009. 【PDF】

[23.1] Yanfei Wang, S Q Ma, H Yang, J D Wang, X W Li, On the Effective Inversion by Imposing A Priori Information for Retrieval of Land Surface Parameters, Science in China D, Vol. 52, No. 4, pp.540-549, 2009.

[23.2] Yanfei Wang, S Q Ma, H Yang, J D Wang, X W Li, 带先验约束的地表参数提取的有效反演方法, 中国科学-D辑 (Science in China D), Vol.39, No.3, pp.360-369, 2009. 【PDF】

[22] Yanfei Wang and Q H Ma, A gradient method for regularizing retrieval of aerosol particle size distribution function, Journal of Industrial and Management Optimization, Vol.5, No. 1, pp. 115–126, 2009.

[21] Yanfei Wang, An Efficient Gradient Method for Maximum Entropy Regularizing Retrieval of Atmospheric Aerosol Particle Size Distribution Function, Journal of Aerosol Science, Vol 39(4), pp 305-322, 2008. 【PDF】

[20] Yanfei Wang and C C Yang, Regularizing Active Set Method for Retrieval of Atmospheric Aerosol Particle Size Distribution Function, Journal of Optical Society of America A, Vol. 25, No. 2, pp. 348-356, 2008. 【PDF】

[19] Yanfei Wang, C C Yang and X W Li, A Regularizing Kernel-Based BRDF Model Inversion Method for Ill-posed Land Surface Parameter Retrieval Using Smoothness Constraint, Journal of Geophysical Research, Vol. 113, D13101, doi: 10.1029/2007jd009324, 2008. 【PDF】

[18] Yanfei Wang, X W Li, Z Nashed, F Zhao, H Yang, Y Guan and H Zhang, Regularized kernel-based BRDF model inversion method for ill-posed land surface parameter retrieval, Remote Sensing of Environment, Vol.111, No.1, 36-50, 2007. 【PDF】

[17] Yanfei Wang, S F Fan and X Feng, Retrieval of the aerosol particle size distribution function by incorporating a priori information, Journal of Aerosol Science, Vol.38, No.8, 885-901, 2007. 【PDF】

[16] Yanfei Wang and S Q Ma, Projected barzilai-borwein methods for large scale nonnegative image restorations, Inverse Problems in Science and Engineering, Vol. 15, No.6, 559-583, 2007. 【PDF】

[15] Yanfei Wang, W Z Wen, Z Nashed and Q Y Sun, On direct methods for time-limited signal and image reconstruction and enhancement, International Journal of Wavelets, Multiresolution and Information Processing, Vol.5, No.1, 51-68, 2007.

[14] Yanfei Wang, S F Fan, X Feng, G J Yan and Y N Guan, Regularized inversion method for retrieval of aerosol particle size distribution function in $W^{1,2}$ Space, Applied Optics, Vol.45, No.28, 7456-7467, 2006. 【PDF】

[13] Yanfei Wang, Z W Wen, M Z Nashed, Q Y Sun, A direct fast method for time-limited signal reconstruction, Applied Optics, Vol.45, 3111-3126, 2006. 【PDF】

[12] Y H Du, Yanfei Wang, W Hua, Y Y Huang and T D Hu, Measurement of Synchrotron Radiation Spectra Using Combined Attenuation Method and Regularized Inversion, Nuclear Inst. and Methods in Physics Research, A., Vol.565, 855-960, 2006. 【PDF】

[11] G D Li, Yanfei Wang, A Regularizing Trust Region Algorithm for Nonlinear Ill-posed Problems, Inverse Problems in Science and Engineering, Vol.14 (8), 859 - 872, 2006.

[10] Yanfei Wang and Y X Yuan, Convergence and regularity of trust region methods for nonlinear ill-posed inverse problems, Inverse Problems, Vol.21, 821-838, 2005. 【PDF】

[9.1] Yanfei Wang, X F Gu, T Yu and S F Fan, Iterative Lavrentiev regularization for symmetric kernel-driven operator equations: with application to digital image restoration problems, Science in China Ser.F, Vol.48, No.4, 467-483, 2005. 【PDF】

[9.2] Yanfei Wang, X F Gu, T Yu and S F Fan, 对称核算子方程的迭代Lavrentiev正则化方法及其在数字图像恢复问题中的应用, 中国科学-E辑 (Science in China E), Vol.35, No.4, 368-384, 2005.

[8] Z W Wen and Yanfei Wang, A new trust region method for image restoration, Science in China Ser.A, Vol.48, No.2, 169-184, 2005. 【PDF】

[7] Q H Ma and Yanfei Wang, Iterative implementation of the adaptive regularization yields optimality, Science in China Ser.A, Vol.48, No.4, 485-492, 2005. 【PDF】

[6] Y W Wang, W Q Wang, Yanfei Wang, A region based image matching method with regularized SAR model, PCM2004 LNCS3331, in Lecture Notes in Computer Science (LNCS) series, 263270, Berlin: Springer-Verlag, 2004.

[5] Y W Wang, Yanfei Wang, Y Xue and W Gao, A new algorithm for remotely sensed image texture classification and segmentation, International Journal of Remote Sensing, Vol.25, No.19, 4043-4050, 2004.

[4] Yanfei Wang, On the regularity of trust region-cg algorithm: with application to image deconvolution problem, Science in China Ser.A, Vol.46, pp.312-325, 2003.

[3] Yanfei Wang and Y X Yuan, A trust region algorithm for solving distributed parameter identification problem, Journal of Computational Mathematics, Vol.21, No.6, 759-772, 2003.

[2] Yanfei Wang, Y X Yuan and H C Zhang, A trust region-CG algorithm for deblurring problem in atmospheric image reconstruction, Science in China Ser.A, Vol.45, 731-740, 2002.

[1] Yanfei Wang and T Y Xiao, Fast realization algorithms for determining regularization parameters in linear inverse problems, Inverse Problems, Vol.17, 281-291, 2001. 【PDF】

Other Journal Papers (EI, CSCD, etc.):

[21] S S Luo and Y F Wang, Shale structure reconstruction by X-ray computerized tomography based on total variation regularization, Journal of Physics Conference Series, Vol. 1047, 012007, DOI :10.1088/1742-6596/1047/1/012007, 2018.

[20] X Yang, H Q Zhu and Y F Wang, 弹性阻抗反演的后验正则化方法, 石油地球物理勘探 (Oil Geophysical Prospecting), 53(4):791-797, 2018.

[19] Y Wang, L H Wang, J Q Wang, Z Jiang, C Jin, Y F Wang, 利用纳米CT研究石柱龙马溪组页岩有机孔三维结构特征, 岩矿测试 (Rock and Mineral Analysis), Vol. 36, 580-590, 2017.

[18] W Q Liang, Y F Wang, C C Yang, 声波方程数值模拟的矩形网格有限差分系数确定方法, 石油地球物理勘探 (Oil Geophysical Prospecting), Vol. 52(1), 56-62, 2017.

[17] Y Wang, C Jin, L H Wang, J Q Wang, Z Jiang, Y F Wang, 基于SEM图像灰度水平的页岩孔隙分割方法研究, 岩矿测试 (Rock and Mineral Analysis), Vol. 35(6): 595-602, 2016.

[16] Y Wang, C Jin, Z Jiang, L H Wang, J Q Wang, Y F Wang, 渝东五峰组-龙马溪组页岩矿物成分及孔隙特征分析,矿物学报 (Acta Mineralogica Sinica), Vol. 36(4), 555-562, 2016.

[17] W Q Liang, Y F Wang, C C Yang, 适于声波方程数值模拟的矩形网格有限差分系数确定方法,石油地球物理勘探 (Oil Geophysical Prospecting), 2016. (Accept)

[16] Y Wang, C Jin, Z Jiang, L H Wang, J Q Wang, Y F Wang, 渝东五峰组-龙马溪组页岩矿物成分及孔隙特征分析, 矿物学报 (Acta Mineralogica Sinica), 2016. (Accept)

[15] Y Wang, D V Lukyanenko and A. G. Yagola, Regularized inversion of full tensor magnetic gradient data, Numerical Methods and Programming, Vol. 17, No. 1, 13-20, 2016.

[14] Y Wang, C Jin, L H Wang, J Q Wang, Z Jiang, Y F Wang, J Pu, 应用氩离子抛光-扫描电镜方法研究四川九老洞组页岩微观孔隙特征, 岩矿测试 (Rock and Mineral Analysis), Vol.34, No.3, 278-285, 2015. (in Chinese)

[13] W Q Liang, Y F Wang and C C Yang, 基于优化方法的时间-空间域隐格式有限差分算子确定方法, 石油物探(Geophysical Prospecting for Petroleum),Vol. 54, No.3, 254-259, 2015. (in Chinese)

[12] H Z Zhang and Y F Wang, VTI介质迭代正则化偏移反演算法研究, 石油地球物理勘探 (Oil Geophysical Prospecting), Vol.49, 6, 1083-1090, 2014. (in Chinese) 【PDF】

[11] P Liu, C C Yang and Y F Wang, Three-dimensional Greens Function Calculation in TTI Media Using the Gaussian Beam Method (三维TTI介质格林函数的高斯束计算方法),Progress in Geophysics (地球物理学进展), 2013. (in Chinese)

[10] Yanfei Wang, Y Cui and C C Yang, Hybrid regularization methods for seismic reflectivity inversion, International Journal on Geomathematics, Vol. 2, No. 1, 87-112, 2011. 【PDF】

[9] Y Y Yu, C C Yang, Yanfei Wang and P Wu, P-wave azimuthal attenuation attributes in wavelet-scale domain and its application to fracture detection in carbonate, Progress in Geophysics(地球物理学进展), Vol. 24, No. 5, 1717-1722

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