Patents:
- More than 25 patents to be updated (to be updated)
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Seismic dip angle estimation with regularization technique, ZL201510106959.8 (Authorized by: State Intellectual Property Office of the People's Republic of China)
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Diffraction imaging using L0-norm regularization, ZL201510107121.0 (Authorized by: State Intellectual Property Office of the People's Republic of China)
- Micro-CT imaging technology for shale, ZL201610178448.1 (Authorized by: State Intellectual Property Office of the People's Republic of China)
- Sparsity constrained migration velocity analysis technology, ZL201510107120.6 (Authorized by: State Intellectual Property Office of the People's Republic of China)
- Shale pore imaging methods, ZL 201610270879.0 (Authorized by: State Intellectual Property Office of the People's Republic of China)
- Gauss beam migration imaging method, ZL2016112654320.0 (Authorized by: State Intellectual Property Office of the People's Republic of China)
- Gaussian beam migration imaging method and device, United States Patent.
- Method and Device for Reconstructing Image of Pore Structure, Australian Patent.
Computer Software Copyright:
- 7 Software copyrights are enrolled (to be updated)
- AI-MCA, Ver. 1.0 (Authorized by: National Copyright Administration of the People's Republic of China)
- GEOBAYES V1.01 (Authorized by: National Copyright Administration of the People's Republic of China)
- AIASI V1.01 (Authorized by: National Copyright Administration of the People's Republic of China)
Thesis:
Ph D Thesis: “On the optimization and regularization algorithms for inverse problems”, Publisher: AMSS-AMSS, 2002: 154pp. Category index: LW000468. Major in Computational Mathematics (Advisor: Academician, Prof. Dr. Yaxiang Yuan)
Books (Monographs and Edited Volumes):
[8] Yanfei Wang, V T Volkov and A G Yagola, Basic Theory of Inverse Problems: Variational Analysis and Geoscience Applications, Science Press, 2021.
[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] Yanfei Wang, I. E. Stepanova, V. N. Titarenko and A. G. Yagola, Inverse Problems in Geophysics and Solution Methods, Higer Education Press (HEP Series in Global Change and Earth System Science), Jun., 2011.
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] Yanfei Wang, Computational Methods for Inverse Problems and Their Applications, Higher Education Press (New Frontiers of Science), 2007.
Contents of the book: 【PDF】
[1] T Y Xiao, S G Yu and Yanfei Wang, Numerical Methods for the Solution of Inverse Problems, Science Press (Series of Numerical Methods), 2003, 2005 and 2006.
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.
[4] Yanfei Wang and J J Cao, Chapter 11: "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]), 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)
[127] Y Wang, Y F Wang, Quantitative Evaluation of Gas Hydrate Reservoir by AVO Attributes Analysis Based on the Brekhovskikh Equation, Petroleum Science, 2023.
[126] Z H Meng, Y F Wang, J H Li, G Q Ma, F T Li, A fast and stable projected space algorithm for sparsity inversion of gravity data, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2022.3227981, 2023.
[125] W Y Pan, K A Innanen, Y F Wang, Adjoint Q tomography with central-frequency measurements in viscoelastic medium, Geophysical Journal International, DOI: https://doi.org/10.1093/gji/ggac502, 2023.
[124] J Shao, Y B Wang, Y F Wang, H Y Yan, High-Resolution Seismic Characterization of Gas Hydrate Reservoir Using Wave-Equation-Based Inversion, Energies, 15(20), 7652, 2022.
[123] W Y Pan, N Ma, Y F Wang, An Envelope Travel-Time Objective Function for Reducing Source–Velocity Trade-Offs in Wave-Equation Tomography, Remote Sensing, 14, 5223, 2022.
[122] Z H Meng, Y F Wang, J H Li, F T Li, Z S Zhang, The improvement of sparsity gravity inversion using an adaptive Lanczos bidiagonalization method, Frontiers in Earth Science, DOI: 10.3389/feart.2022.1020384, 2022.
[121] I I Kolotov, D V Lukyanenko, I E Stepanova, Y F Wang, A G Yagola, Recovering the magnetic properties of Mercury from satellite observations, Eurasian Journal of Mathematical and Computer Applications, 10(2): 26-41, 2022. (Inversion: Mercury)
[120] Q L He, Y F Wang, Trust-region versus line search globalization strategies for inexact Newton method and application in full waveform inversion, Journal of Applied Geophysics, 201: 104639, 2022.
[119] Y L Wu, G A McMechan, Y F Wang, Adaptive feedback convolutional-neural-network-based high-resolution reflection-waveform inversion, Journal of Geophysical Research-Solid Earth, 127: e2022JB024138, 2022. (AI+RWI)
[118] W Q Liang, Y F Wang, J J Cao and Ursula Iturrarán-Viveros, A hybrid explicit implicit staggered grid finite-difference scheme for the first?order acoustic wave equation modeling, Scientific Reports, 12: 10967, 2022.
[117] T Q Wang and Y F Wang, High Resolution Seismic Faults Interpretation based on Adversarial Neural Networks with Regularization Technique, Geophysics, 2022. (AI: FaultAdvNet)
[116] W Q Liang, G X Chen, Y F Wang, J J Cao, J X Chen, A non-balanced staggered-grid FDTD Scheme for the first-order elastic-wave extrapolation and reverse time migration, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 4772-4781, 2022.
[115] A Q Zou, Y F Wang and D H Wang, Blind inversion of multichannel nonstationary seismic data for acoustic impedance and wavelet, Pure and Applied Geophysics, 179: 2147-2166, 2022.
[114] Y Cui and Y F Wang, Sparse regularization inversion of Rayleigh wave multiple mode dispersion curve, Chinese Journal of Geophysics, 65(3): 1086-1095, 2022.
[113] Q Zhang and Y F Wang, Numerical simulations of combined brine flooding with electrical heating–assisted depressurization for exploitation of natural gas hydrate in the Shenhu area of the South China sea, Front. Earth Sci., 10: 843521. doi: 10.3389/feart.2022.843521, 2022.
[115] A Q Zou, Y F Wang and D H Wang, Blind inversion of multichannel nonstationary seismic data for acoustic impedance and wavelet, Pure and Applied Geophysics, 2022.
[114] Y Cui and Y F Wang, Sparse regularization inversion of Rayleigh wave multiple mode dispersion curve (瑞雷波多阶模式频散曲线稀疏正则化反演方法研究), Chinese Journal of Geophysics (地球物理学报), 65(3): 1086-1095, 2022.
[113] Q Zhang and Y F Wang, Numerical simulations of combined brine flooding with electrical heating–assisted depressurization for exploitation of natural gas hydrate in the Shenhu area of the South China sea, Front. Earth Sci., 10: 843521. doi: 10.3389/feart.2022.843521, 2022.
[112] I Kolotov, D Lukyanenko, I Stepanova, Y F Wang, A Yagola, Recovering the magnetic image of Mars from satellite observations, Journal of Imaging, 7, 234, 2021. (https://doi.org/10.3390/jimaging7110234)
[111] X K Yan, Q L He, Y F Wang, Truncated trust region method for nonlinear inverse problems and application in full-waveform inversion, Journal of Computational and Applied Mathematics, 404: 113896, 2021.
[110] Y X Ning and Y F Wang, Q-compensated reverse-time migration for natural gas hydrate using fractional viscoacoustic wave equation, Energy Reports, 7: 8505–8521, 2021. (Fractional PDE: Q-RTM)
[109] Y Cui and Y F Wang, Sparse regularization inversion of Rayleigh wave multiple mode dispersion curve (瑞雷波多阶模式频散曲线稀疏正则化反演方法研究), Chinese Journal of Geophysics (地球物理学报), 2021.
[108] X M Sun, Y F Wang, X Yang, Y B Wang, Three-dimensional transient electromagnetic inversion with optimal transport, Journal of Inverse and Ill-posed Problems, https://doi.org/10.1515/jiip-2020-0159, 2021.
[107] Y Cui and Y F Wang, Velocity modeling based on Rayleigh wave dispersion curve and sparse optimization, Inverse Problems and Imaging, 15(5): 1121-1134, DOI: 10.3934/ipi.2021031 , 2021.
[106] Z Geng, A Bonnelye, C David, P Dick, Y F Wang, A Schubnel, Pressure solution compaction during creep deformation of Tournemire shale: implications for temporal sealing in shales, Journal of Geophysical Research: Solid Earth, 126, e2020JB021370, 2021.
[105] Q L He and Y F Wang, Reparameterized full waveform inversion under the framework of deep neural networks, Geophysics, https://doi.org/10.1190/geo2019-0382.1, 2021. (AI+FWI)
[104] 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, 35(6): 1080-1097, 2020.
[103] Y F Wang, Y X Ning and Y B Wang, Fractional time derivative seismic wave equation modeling for natural gas hydrate, Energies, 13, 5901, 2020. (Fractional PDE: forward)
[102] Y F Wang, I. I. Kolotov, D. V. Lukyanenko and A. G. Yagola, Reconstruction of magnetic susceptibility using full magnetic gradient data, Computational Mathematics and Mathematical Physics, 60(6): 1000-1007, 2020.
[101] Q H Ma, Z L Xu, Y F Wang, Y Wang, L H Wang and J Q Wang, Shale microstructure prediction with nonsmooth sparse regularizing X-ray CT imaging, Numerical Functional Analysis and Optimization, 2020.
[100] W Y Pan, K A Innanen, Y F Wang, SeisElastic2D: An open-source package for multiparameter full-waveform inversion in isotropic-, anisotropic- and visco-elastic media, Computers and Geosciences, 145: 104586, 2020.
[99] Z Geng and Y Wang, Physics-guided deep learning for predicting geological drilling risk of wellbore instability using seismic attributes data, Engineering Geology, 279: 105857, 2020.
[98] Z Geng and Y Wang, Automated design of a convolutional neural network with multi-scale filters for cost-efficient seismic data classification, Nature Communications, 11(1): 3311, 2020. (提出新的神经网络模型SeismicPatchNetwork, SPN)
[97] Q L He and Y F Wang, Inexact Newton-type methods based on Lanczos orthonormal method and application for full waveform inversion, Inverse Problems, 36: 115007, 2020.
[96] Y F Wang, A S Leonov, D V Lukyanenko and A G. Yagola, General Tikhonov Regularization with Applications in Geoscience, CSIAM Transactions on Applied Mathematics, 1: 53-85, 2020. (Review Article的形式发表)
[95] C Sun and Y Wang, Gravity-magnetic cross-gradient joint inversion by the cyclic gradient method, Optimization Methods and Software, 35(5): 982-1001, 2020.
[94] Y Wang, H Q Jiang, Y B Ke, S K Zhang, L H Wang, Y F Wang, C Y He, L J Zhang, J Q Wang, Investigation of pore structures of a shallow Longmaxi shale in south China using large area electron imaging and neutron scattering technique, Energy & Fuels, 34(7): 7974-7984, 2020.
[93] G T Chen, Y F Wang, Z L Wang and S Y Zhang, Dispersion-relationship-preserving seismic modelling using the cross-rhombus stencil with the finite-difference coefficients solved by an over-determined linear system, Geophysical Prospecting, 68: 1771-1792, 2020.
[92] W Pan, K A Innanen and Y F Wang, Parameterization analysis and field validation of VTI-elastic full-waveform inversion in a walk-away vertical seismic profile configuration, Geophysics, 85(3) : B87–B107, 2020.
[91] W Pan and Y Wang, On the influence of different misfit functions for attenuation estimation in viscoelastic full-waveform inversion: synthetic study, Geophys. J. Int., 221: 1292-1319, 2020.
[90] Y F Wang, S F Fan, et al., Non-smooth regularization and fast optimization algorithm for micropore reconstruction of shale, Chinese Journal of Geophysics-Chinese Edition, 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, Chinese Journal of Geophysics-Chinese Edition, 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.
[77] P Liu and Y F Wang, Sparse decomposition of seismic data and migration using Gaussian beams with nonzero initial curvature, Journal of Applied Geophysics, Vol. 151, 82-89, 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, Acta Petrologica Sinica, 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, 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, Chinese Journal of Geophysics, Vol. 61, 1169-1177, 2017.
[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, 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, 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, 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, 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, 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, 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, A fast global optimization algorithm for regularized migration imaging, Chinese Journal of Geophysics, Vol. 54, No. 3, 828-834, 2011. 【PDF】 (in Chinese)
[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, 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, On Iterative Regularization Methods for Seismic Migration Inversion Imaging, Chinese Journal of Geophysics, Vol.52, No.6, pp. 1615-1624, 2009. 【PDF】(in Chinese)
[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, On the Effective Inversion by Imposing A Priori Information for Retrieval of Land Surface Parameters, Science in China D, Vol.39, No.3, pp.360-369, 2009. 【PDF】(in Chinese)
[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, Iterative Lavrentiev regularization for symmetric kernel-driven operator equations: with application to digital image restoration problems, Science in China E, Vol.35, No.4, 368-384, 2005. (in Chinese)
[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, 263-270, 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.):
[25] X K Yan, Q L He, Y F Wang, Full waveform inversion based on MINRES-QLP truncated Newton method, Acta Mathematicae Applicatae Sinica, 2023.
[24] K Q Wang, Z G Wang, J H Gao, and Y F Wang. Seismic methods for exploration of metal mineral resources: review and prosect. Progress in Geophysics(in Chinese), 36(4): 1607-1629, doi: 10.6038/pg2021FF0024, 2021.
[23] Y. F. Wang, A. S. Leonov, D. V. Lukyanenko, V. D. Shinkarev, and A. G. Yagola, On the phase correction in tomographic research, Journal of Applied and Industrial Mathematics, Vol. 14, No. 4, 1-11, 2020.
[22] Y Wang, I I Kolotov, D V Lukyanenko and A G Yagola, Restoration of magnetic susceptibility using full magneto-gradient data, Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, 60(6): 1027-1034, 2020. (Translated)
[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 and Y F Wang, A posterior regularization method for elastic impedance inversion, Oil Geophysical Prospecting, 53(4):791-797, 2018.
[19] Y Wang, L H Wang, J Q Wang, Z Jiang, C Jin, Y F Wang, Investigation of organic matter pore structures of Longmaxi shale in Shizhu area in three dimensions using nano-CT, Rock and Mineral Analysis, Vol. 36, 580-590, 2017.
[18] W Q Liang, Y F Wang, C C Yang, Rectangular grid finite-difference coefficient determination method for numerical simulation of acoustic wave equations, 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, Pore segmentation methods based on gray scale of scanning electron microscopy images, 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, Mineral composition and microscopic pore characteristics of Wufeng-Longmaxi formation shale in Eastern Chongqing city, China, Acta Mineralogica Sinica, Vol. 36(4), 555-562, 2016.
[15] Y F 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, Characterization of pore structures of Jiulaodong formation shale in the Sichuan basin by SEM with Ar-ion milling, Rock and Mineral Analysis, Vol.34, No.3, 278-285, 2015. (in Chinese)
[13] W Q Liang, Y F Wang and C C Yang, Determination on the implicit finite-difference operator based on optimization method in time-space domain, Geophysical Prospecting for Petroleum,Vol. 54, No.3, 254-259, 2015. (in Chinese)
[12] H Z Zhang and Y F Wang, On the algorithms of iterative regularization migration inversion in VTI media, Oil Geophysical Prospecting, Vol.49, 6, 1083-1090, 2014. (in Chinese) 【PDF】
[11] P Liu, C C Yang and Y F Wang, Three-dimensional Green's Function Calculation in TTI Media Using the Gaussian Beam Method, Progress in Geophysics, 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, Vol. 24, No. 5, 1717-1722, 2009. (in Chinese)
[8] Y Y Yu, C C Yang, Yanfei Wang, P Wu, B T Li and Y H Chen, Application of pre-stack seismic elastic impedance inversion to gas reservoir, Progress in Geophysics, Vol. 24, No. 2, 574-580, 2009. (in Chinese)
[7] W C Huang, C C Yang and Yanfei Wang, The Application of Pre-stack Seismic Data in Predicting the Fractured Reservoir, Progress in Geophysics, Vol.22, No.5, 1602-1606, 2007. (in Chinese)
[6] S F Fan, Q H Ma, Yanfei Wang, A new method for choosing regularization parameter with perturbed operator and noisy data, Journal of Beijing Normal University (Natural Science), Vol.42, 25-31, 2006. (in Chinese)
[5] Yanfei Wang and Q H Ma, Convergence and optimality of adaptive regularization for ill-posed deconvolution problems in infinite spaces, Acta Mathematicae Applicatae Sinica, Vol.22, No.3, 429-436, Springer-Verlag, 2006. 【PDF】
[4] Yanfei Wang, A restarted conjugate gradient method for ill-posed problems, Acta Mathematicae Applicatae Sinica, Vol. 19, 31-40, 2003.
[3] Yanfei Wang, A note on numerical solution of iterated Tikhonov regularization, Journal on Numerical Methods and Computer Applications, Vol.23, No.3, 237-240, 2002. (in Chinese)
[2] Yanfei Wang and T Y Xiao, A fast algorithm for regularization reconstruction and extrapolation of 2d band-limited signals, Signal Processing, Vol.17, No.5, 429-435, 2001. (in Chinese)
[1] T Y Xiao and Yanfei Wang, Fast Algorithms for the Extrapolation of 1d Band-limited Signals, Signal Processing, Vol.17, No.1, 31-36, 2001. (in Chinese)
Book Chapters/Proceedings:
[33] I I Kolotov , D V Lukyanenko, A G Yagola and Y F Wang, 3D Inverse problems of magnetic susceptibility restoration from experimental data, International Conference Marchuk Scientific Readings, October 4-8, 2021.
[32] Y Wang and Y F Wang, Frequency-Division AVO Inversion of Thin-Layer Based on Brekhovski Equation, In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2021 (IFEDC 2021), pp 3893–3909. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-2149-0_364, 2022.
[31] T Hu, Y F Wang, T F Xu, H L Tian and B Zhou, The fate of injected CO2 after enhanced oil recovery, In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2021 (IFEDC 2021) , pp 4444–4453. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-2149-0_413, 2022.
[30] Y L Wu, G A McMechan and Y F Wang, A spatially constrained divisive hierarchical k-means clustering to capture prior features for deep-learning LSRTM, SEG, Extended Abstract, 2021.
[29] Y L Wu, G A McMechan and Y F Wang, CNN-based gradient-free multi-parameter reflection full-waveform inversion, SEG, Extended Abstract, 2021.
[28] X M Sun and Y F Wang, Application of Optimal Transport Theory in TEM, AGU, Abstract ID: 571725, 2019.
[27] X M Sun and Y F Wang, The forward and inversion modeling of the CSAMT signal incorporating IP effect, SEG, Extended Abstract, 2018.
[26] Y F Wang, Shale microstructure reconstruction by micro-CT imaging, SEG International Exposition and 87th Annual Meeting in Houston, Texas, Extended Abstract, 2017.
[25] J J Cao and Yanfei Wang, Random nosie contained seismic data interpolation via thresholding method, SEG New Orleans Annual Meeting, DOI: http://dx.doi.org/10.1190/segam2015-5796261.1, pp. 3869-3874, 2015. 【PDF】
[24] T Sun and Y F Wang, An L1-norm constrained data regularization using Radon transform, 77th EAGE Conference & Exhibition 2015, IFEMA Madrid, Spain, 1-4 June, 2015.
[23] J J Cao and Yanfei Wang, P-norm based seismic data blind deconvolution, SEG Denver 2014 Annual Meeting, DOI: http://dx.doi.org/10.1190/segam2014-0216.1, pp. 3277-3281, 2014.
[22] Yanfei Wang and Z H Li, Seismic Migration and Inversion, in Y. F. Wang, A. G. Yagola and C. C. Yang editors: Computational Methods for Applied Inverse Problems (Series: Inverse and Ill-posed Problems Series 56), De Gruyter, 2012.
[21] Yanfei Wang, J J Cao, T Sun and C C Yang, Seismic Wavefields Interpolation Based on Sparse Regularization and Compressive Sensing, in Y. F. Wang, A. G. Yagola and C. C. Yang editors: Computational Methods for Applied Inverse Problems (Series: Inverse and Ill-posed Problems Series 56), De Gruyter, 2012.
[20] Yanfei Wang, S Q Ma and Q H Ma, Full Space and Subspace Methods for Large Scale Image Restoration, in Y. F. Wang, A. G. Yagola and C. C. Yang editors: Optimization and Regularization for Computational Inverse Problems and Applications, Beijing/Berlin: Higher Education Press and Springer, pp. 183-201, May, 2010.
[19] Yanfei Wang and X W Li, Numerical Inversion Methods in Geoscience and Quantitative Remote Sensing, in Y. F. Wang, A. G. Yagola and C. C. Yang editors: Optimization and Regularization for Computational Inverse Problems and Applications, Beijing/Berlin: Higher Education Press and Springer, pp. 273-299, May, 2010.
[18] Yanfei Wang and C C Yang, Inverse Problems, Optimization and Regularization: a Multi-Disciplinary Subject, in Y. F. Wang, A. G. Yagola and C. C. Yang editors: Optimization and Regularization for Computational Inverse Problems and Applications, Beijing/Berlin: Higher Education Press and Springer, pp. 3-14, May, 2010.
[17] Yanfei Wang, Y H Du and T D Hu, On projected gradient methods for regularizing reconstruction of synchrotron radiation spectra distribution function, PAMM-Proceedings in Applied Mathematics and Mechanics, Print/Online ISSN: 1617-7061, WILEY-VCH VERLAG GMBH, 2008.
[16] Yanfei Wang and Claudia Kuenzer, On gradient methods for maximum entropy regularizing retrieval of atmospheric aerosol particle size distribution function, PAMM-Proceedings in Applied Mathematics and Mechanics, Print/Online ISSN: 1617-7061, WILEY-VCH VERLAG GMBH, 2008.
[15] Yanfei Wang, Y H Du and T D Hu, Projected gradient methods for synchrotron radiation spectra distribution function reconstruction, Inverse Problems, Design and Optimization, Vol.1, IPDO Symposium Miami, Florida, USA, April 16-18, 2007.
[14] Yanfei Wang, A gradient method for regularizing retrieval of aerosol particle size distribution function, Proceedings of the 7th International Conference on Optimization: Techniques and Applications (ICOTA7), 2007.
[13] Yanfei Wang and Q H Ma, Iterated adaptive regularization for the operator equations of the first kind, in Hager, W.W., Huang, S.-J., Pardalos, P.M., Prokopyev, O.A. (Eds.): Multiscale Optimization Methods and Applications (in series: Nonconvex Optimization and Its Applications), Springer ISBN: 0-387-29549-6, Vol. 82 (XVIII), 367-378, 2006.
[12] Yanfei Wang, Zuhair Nashed, X W Li, Non-statistical regularized methods for land surface parameter retrieval, Proceedings of the International Conference Tikhonov and Contemporary Mathematics, Sec.4, 2006.
[11] Yanfei Wang, W Z Wen, Z Nashed and Q Y Sun, A fast TSVD method for time-limited signal reconstruction, in De-shuang Huang ed.: Advances in Intelligent Computing-ICIC 2005, 51-60, 2005. (IEEE Proceedings)
[10] Yanfei Wang, X W Li, S Q Ma, H Yang, Z Nashed and Y N Guan, BRDF model inversion of multiangular remote sensing: ill-posedness and interior point solution method, Proceedings of the 9th International Symposium on Physical Measurements and Signature in Remote Sensing (ISPMSRS), Vol.XXXVI, 328-330, 2005. 【PDF】
[9] Z W Wen and Yanfei Wang, A trust region method for large scale inverse problems in atmospheric image restoration, in Yuan Y. ed.: Numerical Linear Algebra and Optimization, 275-287, Science Press, Beijing/New York, 2004.
[8] 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, 263-270, Berlin: Springer-Verlag, 2004.
[7] Yanfei Wang, Iterated self-adaptive regularization method for ill-posed problems, in Y Yuan ed.: Numerical Linear Algebra and Optimization, Science Press, Beijing/New York, 180-187, 2003.
[6] Y W Wang, Yanfei Wang, Y Xue and W Gao, A new algorithm for remotely sensed image texture classification and segmentation, Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, Vol.6, 3534-3536, 2003. (IEEE Proceedings)
[5] Y W Wang, Yanfei Wang, W Gao, Y Xue, A new method for classification and segmentation of the textured images, Picture Coding Symposium 2003, Palais du Grand Large Saint-Malo, France, Apr.23-25, 349-352, 2003. (IEEE Proceedings)
[4] Y W Wang, Yanfei Wang, W Gao and Y Xue, A regularized simultaneous autoregressive model for texture classification, IEEE International Symposium on Circuits and Systems 2003, Bangkok, Thailand, May 25-28, pp.IV/105-IV/108, 2003. (IEEE Proceedings)
[3] Yanfei Wang and Y X Yuan, On the regularity of trust region-CG algorithms for nonlinear ill-posed problems, in T Sunada, P W Sy and Y Lo eds.: Proceedings of the Third Asian Mathematical Conference, Singapore: World Scientific Publishing Co.Pte.Ltd, 562-580, 2002. 【PDF】
[2] Yanfei Wang and Ya-xiang Yuan, On the regularity of trust region algorithm for nonlinear ill-posed inverse problems, Short communications at the International Congress of Mathematicians, China, August 22, 2002.
[1] Yanfei Wang and T Y Xiao, Fast Convergence Algorithms for Solving 2-D Integral Equations of the First Kind, in Chen, Ewing and Shi eds.: Lecture Notes in Physics (Numerical Treatment of Multiphase Flows in Porous Media), Springer-Verlag, 333-344, 2000.
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