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姓名 王彦飞 性别:
职称 研究员 学历 博士
电话 010-82998132 传真: 010-62010846
Email: yfwang@mail.iggcas.ac.cn; yfwang_ucf@yahoo.com 邮编: 100029
地址 北京市朝阳区北土城西路19号,中科院地质与地球物理研究所
更多信息:

English】 油气资源研究院重点实验室 大数据分析与人工智能地球物理学科组

NEW! The Sixth International Workshop on Computational Inverse Problems and Applications (CIPA), 22-26, July, Shenzhen, Guangdong Province, China, 2022. (Chairman)
 Visit at: http://www.cipa2022.cn
     http://www.igg.cas.cn/xwzx/xshd/202205/t20220506_6444558.html

 
简历:

  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,大数据分析与人工智能地球物理学科组组长。
  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。曾任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。

 
研究方向:
 
学科类别:
地球物理学/运筹学/应用与计算数学
 
职务:
重点实验室主任/大数据中心主任/学科组组长
 
社会任职:
 
获奖及荣誉:

作国际会议特邀大会报告9次(2006-2015);并曾获得:

  • 国家级人才计划 (2021)
  • 科技部人才计划 (2021)
  • 国务院政府特殊津贴专家 (2020)
  • 入选国家百千万人才工程国家级人选,授予“有突出贡献中青年专家” (2019)
  • 中国科学院彭荫刚奖(原“伟华科技奖”)一等奖 (2001)
  • 中国科学院院长奖优秀奖 (2002)
  • 中国科学院首届卢嘉锡青年人才奖 (2008)
  • 中国科学院青年创新促进会会员
  • 中国运筹学会青年科技奖 (2008)
  • 中国地球物理学会傅承义青年科技奖 (2011)
  • 中国运筹学会理事 (2012)
  • 中国运筹学会常务理事 (2016)
  • 国家杰出青年科学基金 (2013)
  • 中国青年科技奖 (2013)
  • 中国工业与应用数学学会大数据与人工智能专业委员会委第一届委员 (2017)
  • 中国地球物理学会油气地球物理专业委员会第一届学术委员会委员 (2017)
  • 中国计算机学会CCF大数据与计算智能大赛优秀指导教师奖 (2021)
  • 中国科学院朱李月华奖 (2021)
  • 中国运筹学会数学与智能分会常务理事 (2022)
  • 中国运筹学会应用咨询委员会副主任委员 (2022)
  • 中国运筹学会运筹帷幄决策咨询专家团队团员 (2022)
  • 中国石油学会物探专业委员会(SPG)委员 (2022)
  • 第九届CCF大数据与计算智能大赛“数字化能源”优秀指导教师奖 (2022)
  • CSIAM数学与产业专委会委员 (2022)
  • 中国地震学会地震人工智能专业委员会委员 (2022)
  • 中国地震学会地震数值预测专业委员会委员 (2023)
 
承担科研项目情况:
  1. 国家重点研发计划项目:2018-2021 (首席科学家)
  2. 国家杰出青年科学基金:2014-2017,计算地球物理、勘探地球物理 (负责人)
  3. 国家自然科学基金重大研究计划:2017-2019,(负责人)
  4. 中国科学院从0到1原始创新项目:2019-2023(负责人) 
  5. 国家自然科学基金:2006-2008,反问题的最优化和正则化方法研究 (负责人)
  6. 国家自然科学基金-国际合作基金:2008-2009,不适定反演问题的先验知识表达和数值最优化方法 (中方负责人)
  7. 国家自然科学基金:2009-2011,大规模反演问题数值计算的最优化和正则化理论及算法研究 (负责人)
  8. 国家自然科学基金-国际合作基金:2010-2011 (中方负责人)
  9. 国家自然科学基金:2010-2012(负责人)
  10. 国家自然科学基金-国际合作基金:2012-2013 (中方负责人)
  11. 国家自然科学基金:2013-2016(负责人)
  12. 国家自然科学基金-国际合作基金:2014-2015 (中方负责人)
  13. 国家自然科学基金-国际合作基金:2017-2018 (中方负责人)
  14. 国家自然科学基金-国际(地区)合作与交流项目:2018(负责人) 
  15. 国家自然科学基金-国际合作基金:2019-2020 (中方负责人)
  16. 国家自然科学基金:2022-2025(负责人)
  17. 国家自然科学基金:2023-2025(负责人) 
  18. 国家自然科学基金:2024(负责人)
  19. 人事部留学回国人员择优资助项目:2005-2007,大气气溶胶粒度谱分布的最优化和正则化方法研究 (负责人)
  20. 科技部“中奥科际合作项目”:2007-2009,激光束扫描波形建模研究  (中方负责人)
  21. 科技部“973项目-陆表生态环境要素主被动遥感协同反演理论与方法”子课题:2007-2012 (负责人) 
  22. 中国科学院知识创新工程重要方向性项目:2010-2012 (负责人) 
  23. 中国科学院科研装备项目:分布式并行深度学习系统,2022(负责人)
  24. 财政部重大科研装备研制项目专项课题:2012-2016 (负责人) 
  25. 中国科学院战略性先导科技专项课题:2014-2018(负责人)
  26. 企业项目(系列中、外企):2012-2024(负责人)
  27. 大数据地质项目:2017(负责人)
  28. 中国石油天然气集团公司-中国科学院战略合作项目课题:2015-2017(负责人)
 
代表论著:

专利 (Patents):

申报专利10多项

  1. 一种基于正则化技术的地震数据倾角估计方法及装置, 专利号:ZL201510106959.8 (授权:中华人民共和国国家知识产权局)
  2. 一种基于L0半范数的绕射波成像方法及装置,专利号:ZL201510107121.0 (授权:中华人民共和国国家知识产权局)
  3. 一种基于稀疏反演的偏移速度分析方法及装置,专利号:ZL201510107120.6 (授权:中华人民共和国国家知识产权局)
  4. 页岩微米孔隙成像方法及装置,专利号:ZL201610178448.1 (授权:中华人民共和国国家知识产权局)
  5. 一种页岩孔隙成像方法和装置, 专利号:ZL201610270879.0 (授权:中华人民共和国国家知识产权局)
  6. 页岩纳米孔隙结构投影数据的几何校正方法及装置, 专利号:ZL201610744372.4 (授权:中华人民共和国国家知识产权局)
  7. 一种基于空间域相位校正的孔隙成像方法及装置, 专利号:ZL201610566803.2 (授权:中华人民共和国国家知识产权局)
  8. 高斯束偏移成像方法及装置,专利号:ZL2016112654320.0 (授权:中华人民共和国国家知识产权局)
  9. 起伏地表条件下高斯束偏移成像方法及装置,专利号:ZL201710128791.X (授权:中华人民共和国国家知识产权局)
  10. 地震全波形反演方法及装置,专利号:ZL201710791533.X (授权:中华人民共和国国家知识产权局)
  11. 一种地震绕射波分离方法和装置,专利号:ZL201710019616.7 (授权:中华人民共和国国家知识产权局)
  12. 地震数据规则化方法及装置,专利号:ZL201710800505.X (授权:中华人民共和国国家知识产权局)
  13. 地震数据的处理方法和装置,专利号:ZL201710378593.9 (授权:中华人民共和国国家知识产权局)
  14. 一种页岩微米孔隙结构分析方法及装置,专利号:ZL201711054719.3 (授权:中华人民共和国国家知识产权局)
  15. 磁化率反演方法及装置,专利号:ZL201610137247.7(授权:中华人民共和国国家知识产权局)
  16. Gaussian beam migration imaging method and device, United States Patent.
  17. Method and Apparatus for Separating Seismic Diffracted Wave, United States Patent. 
  18. 基于曲波变换和聚类的地震数据去噪方法和装置,专利号:ZL201710778973.1 (授权:中华人民共和国国家知识产权局)
  19. 页岩CT图像重构方法及装置,专利号:ZL201711406029.X (授权:中华人民共和国国家知识产权局)
  20. 页岩CT成像方法及装置,专利号:ZL201710165715.6(授权:中华人民共和国国家知识产权局)
  21. 地震波速度反演方法和装置,专利号:ZL201710168052.3(授权:中华人民共和国国家知识产权局)
  22. 一种基于卷积稀疏编码的高斯束偏移方法,专利号:ZL201910443810.7(授权:中华人民共和国国家知识产权局)
  23. 全波形反演方法、装置及电子设备,专利号:ZL202010571206.5 (授权:中华人民共和国国家知识产权局)
  24. Method and Device for Reconstructing Image of Pore Structure, Australian Patent.
  25. 弹性参数反演方法及装置,专利号:202011462534.8 (授权:中华人民共和国国家知识产权局)
  26. 基于卷积神经网络深度学习的反射波形反演方法和系统,专利号:202210357986.2 (授权:中华人民共和国国家知识产权局)
  27. 对抗神经网络高分辨率地震断层检测方法和系统,专利号:202111001525.3 (授权:中华人民共和国国家知识产权局)
  28. AVO属性的分析方法、装置以及电子设备,专利号:202210009340.5 (授权:中华人民共和国国家知识产权局)
  29. 卷积神经网络的处理方法、装置和电子设备,专利号:ZL202211217986.9 (授权:中华人民共和国国家知识产权局)
  30. 地震数据的反演方法、装置及电子设备,专利号:ZL202310212580.X (授权:中华人民共和国国家知识产权局)

软件著作权 (Computer Software Copyright):
·获软件著作权10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)
  2. 地球科学大数据与人工智能平台WEB端软件(GEOBAYES V1.01), 登记号:2020SR0655175 (授权:中华人民共和国国家版权局)
  3. 人工智能辅助地震解释软件(AIASI V1.01), 登记号:2020SR0668502 (授权:中华人民共和国国家版权局)
  4. 综合地球物理联合反演与解释一体化平台(IPIG V1.0), 登记号:2021SR1369744 (授权:中华人民共和国国家版权局)
  5. 地球物理大数据分布式数据库软件(IPIG-GeoBD V1.0), 登记号:2021SR1369709 (授权:中华人民共和国国家版权局)
  6. 综合地球物理联合反演与解释数据处理软件(IPIG-GeoDP V1.0), 登记号:2021SR1369821 (授权:中华人民共和国国家版权局)
  7. 地球物理数据可视化软(IPIG-GeoVisualization V1.0), 登记号:2021SR1369683 (授权:中华人民共和国国家版权局)
  8. 多模态测井数据标准化软件, 登记号:2023SR1075641
  9. 深度神经网络架构自动演化与动态分析软件, 登记号:2023SR1081857
  10. 异常地层压力与井壁失稳风险联合分析与标注系统, 登记号:2023SR1318972

·软件平台

  1. 地球科学大数据与人工智能软件平台
  2. 网格化磁场反演软件
  3. 数据约束的页岩微纳米CT图像重构及成分分析软件
  4. 人工智能地球物理软件平台
  5. 综合地球物理联合反演与解释一体化平台
  6. 天然气水合物多场多项高性能模拟器

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, V. T. 沃尔科夫, A. G. 亚格拉, 反问题基本理论:变分分析及在地球科学中的应用(Basic Theory of Inverse Problems: Variational Analysis and Geoscience Applications), 科学出版社, 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] 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])

[134] Z J Bai, Y F Wang, C Z Wang, C X Yu, D Lukyanenko, I Stepanova and A G Yagola, joint gravity and magnetic inversion using CNNs’Deep Learning, Remote Sens., 16, 1115, 2024.

[133] Y Wang, Y F Wang, Spectral decomposition and multifrequency joint amplitude-variation-with-offset inversion based on the neural network, Geophysics, 88(3), R373- R383, 2023. (多参数联合反演的AI架构与实现)

[132] I Kolotov, D Lukyanenko, I Stepanova, Y F Wang and A Yagola, Recovering the Near-Surface Magnetic Image of Mercury from Satellite Observations, Remote Sensing, 15, 2125, 2023.

[131] W Y Pan, L P Qu, Kristopher A. Innanen, Jan Dettmer, Marie Macquet, Donald Lawton, and Y F Wang, Imaging near-surface S-wave velocity and attenuation models by full-waveform inversion with distributed acoustic sensing-recorded surface waves, Geophysics, 88(1), R65–R78, 2023.

[130] Q Zhang, Y F Wang, Comparisons of different electrical heating assisted depressurization methods for developing the unconfined hydrate deposits in Shenhu area, Energy, 269, 126828, 2023.

[129] S Fan, W Tang, Y Wang and M Z Nashed, Posterior regularization method for phase removal of shale nano-structure imaging in space domain, Front. Earth Sci., 11, 1050031, 2023.

[128] T Hu, Y F Wang, T Fu Xu, H L Tian, Z H Rui, Y Zhao, T T Liu, A novel technique for quantifying the fate of CO2 injected in oil reservoir for geological utilization and storage, Energy Reports, 9, 5350-5361, 2023.

[127] Y Wang, Y F Wang, Quantitative Evaluation of Gas Hydrate Reservoir by AVO Attributes Analysis Based on the Brekhovskikh Equation, Petroleum Science, 20(4), 2045-2059, 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, 60, 5925611, 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, 233(2), 1144-1165, 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 (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, 86 (1): V1-V13. DOI: 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 (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(5), 2036-2042, 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.

[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 (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.):

[26] 王宸章,王彦飞,白治经,基于伪标签方法的页岩孔隙语义分割网络, CT 理论与应用研究, 2024.

[25] 严小快, 河清龙, 王彦飞, 基于MINRES-QLP截断牛顿法的全波形反演, 应用数学学报, 2023.

[24] 王柯淇, 王治国, 高静怀, 王彦飞. 2021. 金属矿产资源探测的地震方法:综述与展望. 地球物理学进展, 36(4): 1607-1629, doi: 10.6038/pg2021FF0024.

[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, 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 Green's 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, 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(地球物理学进展), 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 (地球物理学进展), 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) (北京师范大学学报(自然科学版)), 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 (数值计算与计算机应用), 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 (信号处理), 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 (信号处理), Vol.17, No.1, 31-36, 2001. (in Chinese)


Book Chapters/Proceedings/Extended Abstracts:

[34] W L Wang, Y L Wu, Y F Wang , G A McMechan, Leveraging self-supervised deep learning to address cross-talks in multi-parameter inversions, SEG, Extended Abstract, 2024.

[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.

Invited Talks:

  • Invited Plenary speaker, Theory and Numerics of Inverse and Ill-posed Problems (Zoom Conference), April 12, 2021.
  • Invited Keynote speaker, 5th International Symposium on “Inverse Problems, Design and Optimization”, September 24-26, Tianjin, 2019.
  • Invited Plenary speaker, International Workshop on Generalized Inverses, Space Structure, Methods of Functional Analysis and their Applications, May 12-14, Harbin, 2017.
  • Invited talk at the 9th International Conference on Inverse Problems in Engineering (ICIPE), University of Waterloo, May 23-26 2017.
  • Invited Plenary speaker, International Workshop on Generalized Inverses, Space Structure, Methods of Functional Analysis and their Applications, May 12-14, Harbin, 2017.
  • Invited talk at the 9th International Conference on Inverse Problems in Engineering (ICIPE), University of Waterloo, May 23-26 2017.
  • Invited talk at the International Workshop on Computational Seismology, Sanya, January 04-08, 2016.
  • Invited Plenary speaker, International Workshop on Inverse and Ill-Posed Problems, November 18-22, Moscow, 2015.
  • Invited Plenary speaker, International Conference on Inverse Problems and Optimal Control, December 4-6, Hong Kong, 2014.
  • Invited Plenary lecturer, International Conference: Algorithmic Analysis of Unstable Problems, November 10-14, Chelyabinsk, 2014.
  • Invited talk at the International Workshop on Theoretical and Computational Analyses for Inverse Problems, March 15-16, 2014.
  • Invited Plenary speaker, Imaging Science, A Conference Dedicated to Professor Stanley Osher, December 15-18, 2012.
  • Invited Plenary speaker, International Conference "Inverse and Ill-Posed Problems of Mathematical Physics", August 5-12, 2012.
  • Invited Mini-symposium Plenary speaker, at the China-Germany Conference on "Mathematics and Industry", March 15-18, 2010.
  • Invited Plenary speaker, at the International Conference and Young Scientists School "Theory and Computational Methods for Inverse and Ill-posed Problems" Akademgorodok, Novosibirsk, Russia, 10-20 August 2009 , August 10-20, 2009.
  • Invited Plenary speaker, at the International Conference "Algorithmic Analysis of Unstable Problems" dedicated to the 100-th anniversary of outstanding Russian mathematician V. K. Ivanov, September 01-06, 2008.
  • Invited speaker, at the Optimization Minisymposium at the International Congress on Industrial and Applied Mathematics, ICIAM07, Zurich, Switzerland, 2007.
  • Invited speaker, at the Inverse Problems Minisymposium at the International Congress on Industrial and Applied Mathematics, ICIAM07, Zurich, Switzerland, 2007.
  • Invited Plenary speaker, at the International Symposium on Approximation Theory and Remote Sensing Applications, 22nd April-26th April, Kun Ming, China, 2006.
  • Invited speaker, at short communications at the International Congress of Mathematicians, August, Beijing, 2002.
  • Other invited lectures at different conferences and different research institutes/universities more than 40 times (since 2002).

Professional Activities/Membership:
      - Reviewer of American Mathematical Society (AMS) “Mathematical Reviews” since June 2006.
      - Member of Optical Society of American (OSA) since October 2006.
      - Member of Operational Research Society of China (ORSC) since August 2007.
      - Executive member of Council of the Operational Research Society of China (ORSC) since October 2016.
      - Member of Chinese Geophysical Society (CGS) since June 2009.
      - Steering Member of Inverse Problems in Science and Engineering Society since 2008.
      - Member of editorial board of Inverse Problems in Science and Engineering since 2008 (Associate editor).
      - Member of editorial board of International Journal on Geomathematics since 2010 (Associate editor).
      - Member of editorial board of Journal of Inverse and Ill-posed Problems since 2011 (Associate editor).
      - Member of editorial board of Eurasian Journal of Mathematical and Computer Applications since 2012 (Associate editor).
      - Member of European Association of Geoscientists & Engineers (EAGE) since 2014.
      - Associate Member of Society of Exploration Geophysicists (SEG) since 2014.
      - Active Membership with the Society of Exploration Geophysicists (SEG) since 2015.
      - Review Editor of Frontiers in Mathematics of Computation and Data Science since 2016.
     
- Member of editorial board of International Journals of Petrochemistry and Research (IJPR) since 2017.
      - Member of editorial board of International Journal of Geo-Spatial Knowledge and Intelligence (GSKI) since 2017.
      - Member of editorial board of Hebei University of Technology since 2017. 
      - Member of editorial board of Progress in Geophysics since 2017.
      - Associate Editor of Petroleum Science since 2017.

      - Member of SIAM since 2019.
      - Member of editorial board of CSIAM Transactions on Applied Mathematics since 2019.
      - Member of editorial board of Journal on Numerical Methods and Computer Applications (数值计算与计算机应用) since 2020.
      - Membership of Society of Petroleum Geophysicists (SPG), 2022.
      - Executive member of Council of the Mathematical Intelligence Branch of the Operational Research Society of China (ORSC) since 2022.
      - Membership of China Petroleum and Chemical Industry Association, 2022.
      - Member of editorial board of Geophysical Prospecting for Petroleum (石油物探) since 2022.
      - Membership of Inverse Problems International Association (IPIA), 2022.
      - Membership of Earthquake Artificial Intelligence Professional Committee of Seismological Society of China, 2022.
      - Membership of Earthquake Numerical Prediction Professional Committee of Seismological Society of China, 2023.
      - Member of editorial board of Oil and Gas Geology (石油与天然气地质) since 2024.

Conferences related:

[36] The Sixth International Workshop on Computational Inverse Problems and Applications, 22-26, July, Shenzhen, Guangdong Province, China, 2022. (Chairman)
    Visit at: http://www.cipa2022.cn/

[35] 油气田勘探与开发国际会议(IFEDC), 2021年10月20-22日, 青岛. (Session Chair)

[34] 油气行业院士专家论坛, 华为, 2021年4月8-9日.

[33] 中国工业与应用数学学会第十八届年会, 2020年10月29-11月1日. (Session Co-organizer)

[32] The Fifth International Workshop on Computational Inverse Problems and Applications, 25-29, July, Longyan, Fujian Province, China, 2019. (Chairman)

[31] International Workshop on PDE-Constrained Optimization, Optimal Control & Applications, December 10-14, 2018.

[30] 23rd International Symposium on Mathematical Programming (ISMP), The World Congress of the Mathematical Optimization Society (MOS), Bordeaux, July 1-6, 2018

[29] International Workshop on Modern Optimization and Applications, June 16-18, Beijing, 2018.

[28] 国家天元数学东北中心2018年度全国反问题年会,5月28-31日, 吉林, 2018.

[27] 全国“大数据时代:地质学的挑战与机遇”学术研讨会,5月23-25日, 杭州, 2018.

[26] 地球科学大数据与人工智能学术研讨会,中国科学院地质与地球物理研究所,11月18-19日,北京,2017. (Organizer)

[25] 2017地学大数据培训会,中国科学院地质与地球物理研究所,10月17-18日,北京,2017.(Organizer)

[24] Minisymposium on Computational Methods for Geophysical Inverse Problems, at the International Conference: Applied Inverse Problems, Hangzhou, May 29-June 2, 2017. (Organizer)

[23] Minisymposium on Optimization Methods for Inverse Problems, at the 5th International Conference on Continuous Optimization (ICCOPT), Tokyo, Japan, August 6-12, 2016. (Organizer)

[22] "Computational Seismology" at Tsinghua Sanya International Mathematics Forum (TSIMF), January 4-8, Sanya, 2016

[21] The Fourth International Workshop on Computational Inverse Problems and Applications, 8-12, July, Zibo, Shandong Province, China, 2016. (Chairman)

  Visit at: http://cipa2016.sdut.edu.cn/index.html

[20] International Workshop on Inverse and Ill-Posed Problems, November 18-22, Moscow, 2015

[19] “偏微分反问题及其应用”研讨会,东南大学数学系,2015年11月6-8日,南京,江苏,2015

[18] Minisymposium on Optimization Methods for Inverse Problems, at the 8th International Congress on Industrial and Applied Mathematics (ICIAM), August 10-14, Beijing, China, 2015. (Organizer)
  Visit at:
http://www.iciam2015.cn/

[17] International Conference on Inverse Problems and Optimal Control, December 4-6, Hong Kong, 2014.
  Visit at:
http://www.math.cuhk.edu.hk/conference/ipoc2014/

[16] International Workshop on Theoretical and Computational Analyses for Inverse Problems, March 15-16, Sun Yat-sen University, Guangzhou, China, 2014.
  Visit at:
http://inverseprobl.sysu.edu.cn/index.htm

[15] The Third International Workshop on Computational Inverse Problems and Applications, 8-12, July, Nanchang, China, 2013. (Chairman)
  
Visitat: http://mathinf.ecit.edu.cn/meeting/index.html

[14] 2013 Workshop on Interdisciplinary Applied and Computational Mathematics, Zhejiang, December 19-21,2013.

[13] 2013数学物理反问题及其应用研讨会,哈尔滨,8月22-27日,2013.

[12] Imaging Science, a workshop in honor of Stanley Osher,December 15-18, 2012.

[11] 国家自然科学基金委员会暑期学校,国防科技大学,长沙,湖南,2012,6月24日-7月22日. (授课教师)

[10] International Conference “Inverse and Ill-Posed Problems of Mathematical Physics”, dedicated to the 80th anniversary of the birthday of Academician M. M. Lavrent'ev,August 5-12, 2012, Novosibirsk, Russia.
  
Visit at: http://conf.nsc.ru/lavr80/en/

[9] Sixth International Conference "Algorithmic Analysis of Unstable Problems" (AAUP-2011), to be held in Ekaterinburg, Oct. 31-Nov. 5, 2011.
  Visit at: http://

[8] The 7th International Conference on Inverse Problems in Engineering: Theory and Practice (ICIPE 2011), to be held in University of Central Florida, Orlando, Florida, May 4-6 (Wedn.-Friday), 2011.
  
Visit at: http://

[7] The Second International Workshop on Computational Inverse Problems and Applications, A Workshop at the Institute of Geology and Geophysics, the Chinese Academy of Sciences, Beijing, China July 12 – July 15, 2010. (Organizer & Chair)
  Visit at: http://english.igg.cas.cn/ns/ue/201003/t20100305_51243.html

[6] Invited Mini-symposium Plenary speaker, at the China-Germany Conference on "Mathematics and Industry", March 15-18, 2010.
  
Visit at: http://lsec.cc.ac.cn/~cgcmi/

[5] Invited speaker at the 5th International Conference “Inverse Problems: Modeling and Simulation”  (IP: MS 2010), May 24-29, Antalya, Turkey, 2010. (International Program Committee Member)
Organizer: Minisymposiums of IP: MS, “Numerical Inversion, Optimization and Large Scale Scientific Computing (Chair: Yanfei Wang)”
  Visit at:
http://www.ipms-conference.org/ and http://www.ipms-conference.org/minisymp.htm

[4] Invited workshop Lecturer, at the International Workshop on Computational Methods for Ill-Posed Problems December 18-20, 2009.

[3] International Conference and Young Scientists School "Theory and Computational Methods for Inverse and Ill-posed Problems" Akademgorodok, Novosibirsk, Russia, 10-20 August 2009 , August 10-20, 2009. (International Program Committee Member)
  Visit at:
http://math.nsc.ru/conference/onz09/engl.html

[2] Optimization and Regularization for Computational Inverse Problems and Applications, An International Workshop at the Institute of Geology and Geophysics, the Chinese Academy of Sciences, Beijing, China July 21 – July 25, 2008. (Organizer & Chair)
  Visit at:
http://www.iggcas.ac.cn/workshop2008_eng.htm

[1] Fifth International Conference "Algorithmic Analysis of Unstable Problems", dedicated to 100-th anniversary of outstanding Russian mathematician V.K. Ivanov Еkaterinburg, Russia: September 01 - 06, 2008. (International Program Committee Member)
  Visit at:
http://aanz.imm.uran.ru/Default.aspx


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