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馬堅偉北京大學地球與空間科學學院博雅特聘教授

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馬堅偉，男，1976年12月出生于浙江東陽，北京大學地球與空間科學學院博雅特聘教授，北京大學人工智能地球科學中心主任，人工智能研究院智慧宜居地球中心主任。 1998年本科畢業于大連理工大學工程力學系，2002年博士畢業于清華大學固體力學專業。在國外從事博士后和訪問學者研究多年，并先后受聘于清華大學航天航空學院（講師、副教授）、哈爾濱工業大學數學學院和人工智能研究院。曾獲國家杰出青年科學基金資助、國家高層次人才計劃、科技部中青年科技創新領軍人才、中組部首屆青年拔尖人才、教育部新世紀優秀人才、中國百篇最具影響國際學術論文、黑龍江省自然科學一等獎、傅承義青年科技獎、中國地球物理科技創新二等獎和科技進步二等獎（2項）。主持國家重點研發計劃項目（2項）、國家自然科學基金重點項目、企業創新發展聯合基金集成項目等。擔任中國地球物理學會智能地球物理專業委員會主任、中國地質學會數據驅動與地學發展專業委員會副主任、IEEE Transactions on Geoscience and Remote Sensing期刊副主編。從事勘探地球物理學、應用數學、人工智能的交叉學科研究，在Reviews of Geophysics, IEEE Signal Processing Magazine, PNAS, Nature Communications等期刊發表論文，谷歌學術被引約7500次。入選2022年版“全球前2%頂級科學家終身成就榜” 。

哈爾濱工業大學龍江學者特聘教授，哈爾濱工業大學數學學院院長，博士生導師。主要從事應用數學和地震勘探的交叉學科研究，基于稀疏變換和壓縮感知，提出降低數據采集成本和提高數據分辨率的理論技術。

教育及工作經歷：

1994/09/01-1998/07/01，大連理工大學本科工程力學系。

1998/09/01-2002/08/01，清華大學博士工程力學系 (地震波勘探研究所）。

2020/05-至今，北京大學，地球與空間科學學院，博雅特聘教授。

2011/07/01-2020/04，哈爾濱工業大學數學系教授龍江學者特聘教授。

2010/05/01-2011/06/01，美國佛羅里達州立大學 Scientist。

2006/02/01-2010/05/01，清華大學航天航空學院(地震波勘探研究所) 講師、副教授。

2002/10/01-2006/02/1，英國劍橋大學、法國Grenoble一大等博士后。

2014/03-2014/09，德克薩斯大學澳斯汀分校地球物理勘探。

2013/07-2013/08，香港浸會大學數學。

2012/12-2012/12，新加坡國立大學數學。

2009/03/01-2009/09/01，法國巴黎高等礦業大學地球物理勘探。

2008/05/01-2008/06/30，法國格勒諾布爾大學數學。

2007/06/01-2007/09/01，美國佛羅里達州立大學數學。

2006/06/01-2006/08/30，瑞士洛桑聯邦理工大學（EPFL）數學。

2005/09/01-2005/09/30，德國杜伊斯堡大學數學。

PROFESSIONAL SOCIETIES

1、Member of the SEG China Advisory Committee, 2021-2023

2、Board of Directors, SEG Global Inc., 2020

3、Co-Guest Associate Editor: The Leading Edge, Special issue: Exploration Geophysics in China (2019)

4、Co-Guest Associate Editor: Geophysics, Sepical section: Advances in Mathematical Geophysics (2023)

5、Associate Editor: IEEE TGRS (2022-2025), IEEE GRSL (2019-2022), Journal of Geophysics and Engineering (2020-2023), Applied Geophysics

6、Technical Co-Chair for SEG 4th International Workshop on Mathematical Geophysics: Traditional & Learning (2021)

7、Technical Co-Chair for SEG 3rd International Workshop on Mathematical Geophysics: Traditional vs Learning (2019

8、Organizer for International Summer School on Mathematics and AI (2015, 2017, 2018, 2021)

9、Technical Co-Chair for CPS/SEG International Geophysical Conference and Exposition (2018)

10、Co-Chair for CPS/SEG Artificial Intelligence and Compressed Sensing Geophysical Workshop (2018)

11、Co-Chair for International Workshop on Mathematical Geophysics (2015, 2017)

12、Technical Co-Chair for SEG Workshop on Geophysical Compressed Sensing (2015)

13、Co-Chair for International Workshop on Signal Processing, Optimization and Compressed Sensing (2013

14、Committee member for CSIAM (2016-2021)

15、IEEE Senior Member, SEG Active Member, EAGE member

研究方向：

地震勘探、壓縮感知、稀疏變換、圖像處理、遙感成像。

承擔科研項目情況：

作為項目負責人承擔了國家自然科學基金（青年項目），教育部新世紀優秀人才支持計劃，國家自然科學基金（面上項目），中組部首屆青年拔尖人才計劃，�；A研究杰出人才“躍升”培育計劃，國家自然科學基金（重大研究計劃培育項目），國家自然科學基金（科學儀器專項），航天創新基金、中石油集團風險基金等項目，作為核心技術骨干參加了973項目子課題。

1、PI: National Key Research and Development Program of China (Mathematics and mathematical applications)

2、PI: National Key Research and Development Program of China (High performance computing on energy exploration)

3、PI: NSFC (Geoscience Division) on 5D AI seismic data interpolation (Key project)

4、PI: NSFC (Geoscience Division) on exploration geophysics (Distinguished young scholar)

5、PI: NSFC (Mathematical Division) on low-rank matrix completion and seismic applications

6、PI: NSFC (Geoscience Division) on 3D data-driven tight frame for seismic data reconstruction

7、PI: NSFC (Information Division) on dynamic configurable imaging system based on compressed sensing

8、PI: NSFC (Geoscience Division) on curvelets for seismic wave equations

科研成果：

1.在國際上首次提出單像素遙感成像新體系，并對嫦娥探測器的月表面成像數據進行了模擬分析。他的研究對解決有效成像載荷和成像質量這對傳統矛盾，為研發重量輕、體積小、耗能低的探測系統提供了一條新途徑。該成果發表成論文后，已被引用90多次。

2.在稀疏促進地震勘探的交叉學科研究中，他將調和分析和優化理論的最新前沿技術帶到地球物理勘探領域中，有效解決了勘探數據處理中測量數據不足帶來的實際困擾問題。他提出基于稀疏約束優化和矩陣低秩約束優化的地震數據重建和降噪方法，在提高我國某些區塊的地震勘探數據分辨率和降低數據采集成本方面具有一定的價值。這些工作對近期國際研究的熱點——壓縮感知和矩陣完備，也是一個非常好的理論提升和交叉學科延伸。

3.在幾何小波稀疏變換領域從事了15年的持續研究，構造了一些新穎有效的稀疏變換（如周期曲波變換、數據驅動緊框架、基于不等距傅里葉變換的快速脊波離散變換算法），并在著名國際期刊IEEE Signal Processing Magazine上發表了相關的邀請綜述論文。這些新的變換為地震數據的稀疏表達提供了有效途徑，為我國地震勘探學者在改進數據壓縮、去噪、重構、偏移和反演質量等方面的重大科技創新提供一個基礎儲備和技術選擇。

出版專著：

[1]J. Ma, A. S. Khwaja, M. Y. Hussaini, Compressed remote sensing, in Signal and Image Processing for Remote Sensing (Editor by Chi H. Chen), the second version, 2012, 73-90.

[2]G. Plonka, J. Ma, Curvelets, in Encyclopedia of Applied and Computational Mathematics (Editor by B. Engquist), Springer Berlin, 2013.

發表英文論文：JOURNAL PAPERS

2024：

[161]J. Sun, J. Ma, Z. Zhao, J. Yang, Elastic wavefield decomposition using the physical-constrained neural network and its application on reverse-time migration, 2024, submitted.

[160]H. Zhou, T. Ren, J. Ma*, Source directivity is a key mechanism of imaging attenuation under rugged seabed, Geophysics, 2024, submitted.

[159]H. Wang, S. Yu, T. Ren, J. Ma*, Compensation of seismic data in deep-water complex media using W transform and deep learning: A case study in South China Sea, Geophysics, 2024, submitted.

[158]P. Sun, Y. Wu*, F. Yang, J. Wang, H. Liang, J. Ma, TripleNet: A simple and fast 3D velocity model building network by learning geological characterization, 2024, submitted.

[157]M. Liu, F. Bossmann, W. Wang, J. Ma*, Towards artifact-free impedance inversion by a semi-supervised learning with Kolmogorov-Arnold networks, 2024, submitted.

[156]Z. Gu, G. Tang, J. Ma*, Compressive-sensing reconstruction for satellite monitor data using a deep generative model, IEEE Transactions on Instrumentation and Measurement, 2024, revised.

[155]Y. Wu, J. Ma*, A new regularization for seismic inversion via attention deep decoder, and its relationship to total variational regularization and wavelet transform, Geophyiscs, 2024, revised.

[154]Z. Xue, Y. Wang, X. Wu, J. Ma*, Multi-Geophysical information neural network for seismic tomography, Geophysics, 2024, revised.

[153]F. Yang, J. Ma*, Gabor-wavelet-activation implicit neural learning for full waveform inversion, Geophysics, 2024, revised

[152]F. Bossmann, W. Wu, J. Ma*, A fast and gridless ORKA algorithm for tracking moving and deforming objects, Inverse Problems, 2024, accepted.

[151]Y. Sui, X. Wang, J. Ma*, Quadratic Unet for seismic random noise attenuation, Geophysics, 2024, accepted.

[150]T. Gao, Z. Hong, Y. Tan, L. Sun, Y. Wei, J. Ma*, HC-MVSNet: A probabiliy sampling-based multi-view-stereo network with hybrid cascade structure for 3D reconstruction, Pattern Recognition Letters, 2024, 185, 59-65.

[149]J. Yang, H. Zhu*, Z. Zhao*, J. Huang*, D. Lumley, R. Stern, R. Dunn, A. Arnulf, J. Ma, Asymmetric magma plumbing system beneath axial seamount based on full waveform inversion of seismic data, Nature Communications, 2024, 15, 4767.

[148]Y. Xu, S. Yu*, L. Dong, J. Ma, Dealiased seismic data interpolation by dynamic matching, Geophysics, 2024, 89 (5).

[147]F. Li, H. Liu, W. Wang, J. Ma*, Swin transformer for seismic denoising, IEEE Geoscience and Remote Sensing Letters, 2024, 21, 7501905.

[146]Q. Liu, J. Ma*, Generative interpolation via a diffusion probabilistic model, Geophysics, 2024, 89 (1), V65-V85.

2023

[145]L. Li, J. Ma*, ISAnet: Deep neural network approximating image sequence assimilation for tracking fluid flows, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.1-20.

[144]X. Zhang, J. Ma*, S. Yu, Non-convex tensor completion for five-dimensional seismic data reconstruction, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-12.

[143]J. Ma, Q. Cheng, S. Fomel, M. Sacchi, R-S. Wu, Y. Liu, Y. Elita Li, Advances in mathematical geophysics--Introduction, Geophysics, 88 (1), WAI-WAII.

[142]Z. Yu, J. Ma*, First arrival enhancement and extrapolation via third-order cumulant interferometry method, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5922412.

[141]P. Sun, F. Yang*, H. Liang, J. Ma, Full-waveform inversion using a learned regularization, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5920715.

[140]X. Wu, J. Ma*, S. Xu, Z. Bi, J. Yang, H. Gao, D. Xie, Z. Guo, J. Zhang*, Sensing priori constraints in deep neural networks for solving exploration geophysical problems, Proceedings of the National Academy of Sciences (PNAS), 2023, 120 (23), e2219573120.

[139]X. Zhang, J. Ma*, S. Yu, No-convex tensor completion for 5D seismic data reconstruction, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5904712.

[138]F. Yang, J. Ma*, Wasserstein distance-based full waveform inversion with a regularizer powered by learned gradient, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5904813.

[137]S. Yu*, J. Ma, Simultaneous off-the-grid regularization and interpolation for 3D seismic data by a new combined sampling operator, Geophysics, 2023, 88 (4), V291-V302.

[136]Y. Wu, H. S. Aghamiry, S. Operto, J. Ma*, Helmholtz-equation solution in nonsmooth media by a physics-informed neural network incorporated quadratic terms and a perfectly matching layer condition, Geophysics, 2023, 88 (4), T185-T202.

[135]H. Zhang, W. He, J. Ma*, The back-and-forth method for the quadratic Wasserstein distance-based full waveform inversion, Geophysics, 2023, 88 (4), R469-R483.

[134]R. Zhang, P. Boue, M. Campillo, J. Ma*, Quantifying P-wave secondary microseism events: a comparison of observed and modeled back projection, Geophysical Journal International, 2023, 234 (2), 933-947.

[133]W. Wang, G. McMechan, J. Ma*, Re-weighted variational full waveform inversions, Geophysics, 2023, 88 (4), R499-R512.

[132]F. Wang, J. Ma*, FWIGAN: Full waveform inversion via a physics-informed generative adversarial network, Journal of Geophysical Research-Solid Earth, 2023, 128, e2022JB025493.

[131]Y. Chen, S. Yu*, J. Ma, A projection-onto-convex-sets network for 3D seismic data interpolation, Geophysics, 2023, 88 (3), V249-V265.

[130]W. Wang, Y. Sui, J. Ma*, Random noise attenuation via an improved self-supervised deep learning method, Mathematical Geoscience, 2023, 55, 3, 401-422.

[129]Y. Sui, X. Wang, J. Ma*, Deep unfolding dictionary learning for seismic denoising, Geophysics, 2023, 88 (1), WA129-WA147.

[128]L. Liu, J. Ma*, DL2: Dictionary learning regularized with deep learning prior for simultaneous denoising and interpolation, Geophysics, 2023, 88 (1), WA13-WA25.

[127]X. Zhang, J. Ma*, H. Zhang, Curvature regularized manifold for seismic data interpolation, Geophysics, 2023, 88 (1), WA37-WA53.

2022

[126]F. Bossmann*, J. Ma, ORKA: Object reconstruction using a K-approximation graph, Inverse Problems, 2022, 38 (12), 125009.

[125]L. Zhang, G. Zhang*, Z. Fan, J. Ma, A multi-task deep learning for simultaneous denoising and inversion of 3D gravity data, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 5923117.

[124]H. Sun, F. Yang, J. Ma*, Seismic random noise attenuation via self-supervised transfer learning, IEEE Geoscience and Remote Sensing Letters, 2022, 19.

[123]C. Ding, J. Ma*, Automatic migration velocity analysis via deep learning, Geophysics, 2022, 87 (4)：U135-U153.

[122]Wu, Yanqi; Ma, Jianwei*, Rayleigh wave equations with couple stress: modeling and dispersion characteristic, Geophysics, 2022, 87 (1): T1-T13.

[121]L. Li, J. Ma*, F. Le Dimet, A. Vidard, Assimilation of images via dictiornary learning-based sparsity regularization strategy: an application for retrieving fluid flows, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5907120.

2021

[120]Siwei, Yu; Jianwei, Ma*, Deep learning for geophysics: current and future trends, Reviews of Geophysics, 2021, 59 (3), e2021RG000742.

[119]Yang, Fangshu; Pham, Thanh-An; Brandenberg, Nathalie; Lutolf, Matthias P.; Ma, Jianwei*; Unser, Michael, Robust phase unwrapping via deep image prior for quantitative phase imaging, IEEE Transactions on Image Processing, 2021, 30: 7025-7037.

[118]Wang, Wenlong*; McMechan, George A.; Ma, Jianwei, Elastic isotropic and anisotropic full wave-form inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks, Geophysics, 2021, 86 (6), R795-R810.

[117]S. Yu, W. Yang, H. Li, X. Wang, J. Ma*, Scattered ground roll intelligent attenuation based on deep learning, Chinese Science Bulletin, 2021, 66 (18), 2343-2354.

[116]Wang, Wenlong*; McMechan, George A.; Ma, Jianwei; Xie, Fei, Automatic velocity picking from semblances with a new deep learning regression strategy: comparison with a classification approach, Geophysics, 2021, 86(2): U1-U13.

[115]Zhang, Jie; Zhu, Huiyu; Yu, Siwei; Ma, Jianwei*, Constructing the seismograms of future earthquakes in Yunnan, China using compressed sensing, Seismological Research Letters, 2021, 92(1): 261-274.

[114]Banjade, Tara P.*; Liu, Jiong; Li, Haishan; Ma, Jianwei.Enhancing earthquake signal based on variational mode decomposition and S-G filter.Journal of Seismology, 2021, 25(1): 41-54.

2020

[113]H. Zhang, J. Ma*, Hartley spectral pooling for deep learning, CSIAM Transactions on Applied Mathematics, 2020,1 (3), 518-529.

[112]Sui, Yuhan; Ma, Jianwei*, Blind sparse spike deconvolution with thin layers and structure, Geophysics, 2020, 85(6): V481-V496.

[111]J. Ma*, Random low patch-rank method for interpolation of regularly missing traces, Journal of Harbin Institute of Technology (new series): special issue for the 100th anniversary, 2020, 27 (3), 205-216.

[110]Yang, Fangshu; Pham, Thanh-An; Gupta, Harshit; Unser, Michael; Ma, Jianwei*, Deep learning projector for optical diffraction tomography, Optics Express, 2020, 28(3): 3905-3921.

[109]Zhang, Hao; Yang, Xiuyan; Ma, Jianwei*, Can learning from natural image denoising be used for seismic data interpolation?, Geophysics, 2020, 85(4): WA115-WA136.

[108]Yu, Siwei; Ma, Jianwei; Zhao, Bangliu Off-the-grid VSP data regularization by a compressive sensing method, Geophysics, 2020, 85(2): V157-V168.

[107]Wang, Wenlong; Ma, Jianwei, Velocity model building in a cross-well acquisition geometry with image-trained artificial neural networks, Geophysics, 2020, 85(2): U31-U46.

[106]Wang, Xiaojing; Ma, Jianwei*, Adaptive dictionary learning for blind seismic data denoising, IEEE Geoscience and Remote Sensing Letters, 2020, 17(7): 1273-1277.

[105]Bossmann, Florian; Ma, Jianwei*, Enhanced image approximation using shifted rank-1 reconstruction, Inverse Problems and Imaging, 2020, 14(2): 267-290.

2019

[104]Wang, Xiaojing; Wen, Bihan; Ma, Jianwei*, Denoising with weak feature preservation by group-sparsity transform learning, Geophysics, 2019, 84(6): V351-V368.

[103]S. Yu, J. Ma*, W. Wang, Deep learning for denoising, Geophysics, 2019, 84(6): V333-V350.

[102]Yang, Fangshu*; Ma, Jianwei, Deep-learning inversion: a next generation seismic velocity model building method, Geophysics, 2019, 84 (4), R583-R599.

[101]Sui, Yuhan; Ma, Jianwei*, A nonstationary sparse spike deconvolution with anelastic attenuation, Geophysics, 2019, 84(2): R221-R234.

[100]Li Long; Vidard Arthur; Le Dimet Francois Xavier; Ma Jianwei*, Topological data assimilation using Wasserstein distance, Inverse Problems,2019, 35(1): 015006.

[99]Cai, Kuijie; Ma, Jianwei*, Robust estimation of multiple local dips via multidirectional component analysis, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(5): 2798-2810.

[98]Liu Zhao*; Ma Jianwei; Yong Xueshan. Line survey joint denoising via low rank minimization, Geophysics, 2019, 84(1): V21-V32.

[97]Liu, Lina; Ma, Jianwei*, Structured graph dictionary learning and application on the seismic denoising, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(4): 1883-1893.

[96]Banjade, Tara P; Yu, Siwei*; Ma, Jianwei.Earthquake accelerogram denoising by wavelet-based variational mode decomposition.Journal of Seismology, 2019, 23(4): 649-663.

[95]Li, Yongyi; Miao, Xiaogui; Huo, Shoudong; Ma, Jianwei; Cao, Danping.Introduction to this special section: Exploration geophysics in China.Leading Edge (Tulsa, Ok), 2019, 38(8): 596.

2018

[94]Gemechu Diriba; Ma Jianwei*; Yong Xueshan A compound method for noise attenuation, Geophysical Prospecting, 2018, 66(8): 1548-1567.

[93]Liu Lina*; Ma Jianwei; Plonka Gerlind, Sparse graph-regularized dictionary learning for random seismic noise, Geophysics, 2018, 83 (3): V213-V231.

[92]Yu Siwei*; Ma Jianwei; Osher Stanley, Geometric mode decomposition, Inverse Problems and Imaging, 2018, 12(4): 831-852.

[91]Jia Yongna*; Yu Siwei; Ma Jianwei*, Intelligent interpolation by Monte Carlo machine learning, Geophysics, 2018, 83 (2): V83-V97.

[90]Yu, Siwei; Ma, Jianwei*, Complex variational model decomposition for slop-preserving denoising, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (1): 586-597.

[89]Liu Zhao; Chen Yangkang; Ma Jianwei*.Ground roll attenuation by synchrosqueezed curvelet transform.Journal of Applied Geophysics, 2018, 151: 246-262.

[88]Yuan Huan; Hu Zi-Duo; Liu Zhao; Ma Jian-Wei*.Ground roll attenuation based on an empirical curvelet transform.Applied Geophysics, 2018, 15(1): 111-117.

2017

[87]J. Ma*, S. Yu, Sparsity in compressive sensing, The Leading Edge, 2017, 36 (8), 308-314. (an invited short review).

[86]Li, Long; Le Dimet, Francois-Xavier; Ma, Jianwei*; Vidard, Arthur, A level-set based image assimilation method: applications for predicting the movement of oil spills, IEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (11): 6330-6343.

[85]Liu, Lina; Plonka, Gerlind; Ma, Jianwei*, Seismic data interpolation and denoising by learning a tensor tight frame, Inverse Problems, 2017, 33 (10): 105011. Highlights of 2017)

[84]Yu, Siwei*; Osher, Stanley; Ma, Jianwei; Shi, Zuoqiang, Noise attenuation in a low dimensional manifold, Geophysics, 2017, 82 (5): V321-V334.

[83]Jia, Yongna; Ma, Jianwei*, What can machine learning do for seismic data processing? an interpolation application, Geophysics, 2017, 82 (3): V163-V177.

[82]Jan Henrik Fitschen; Jianwei Ma; Sebastian Schuff, Removal of curtaining effects by a variational model with directional first and second order differences, Computer Vision and Image Understanding, 2017, 155: 24-32.

[81]Wang, Hairong; Sacchi, Mauricio; Ma, Jianwei*, Linearized dynamic warping with L1-norm constraint for multi-component registration, Journal of Applied Geophysics, 2017, 139:170-176.

[80]Diriba Gemechu; Huan Yuan; Jianwei Ma.Random noise attenuation using an improved anisotropic total variation regularization.Journal of Applied Geophysics, 2017, 144: 173-187.

2016

[79]Bossmann, Florian*; Ma, Jianwei*, Asymmetric chirplet transform--Part 2: phase, frequency, and chirp rate, Geophysics, 2016, 81 (6): V425-V439.

[78]Cai Zhang; Bingbing Sun; Jianwei Ma; Huizhu Yang; Ying Hu, Splitting algorithm for high-order compact finite difference scheme in wave equation modeling, Geophysics, 2016, 81 (6): T295-T302.

[77]Yu, Siwei; Ma, Jianwei*; Osher, Stanley, Monte Carlo data-driven tight frame for seismic data recovery, Geophysics, 2016, 81 (4): V327-V340.

[76]Chen, Yangkang; Ma, Jianwei*; Fomel, Sergey, Double sparsity dictionary for seismic noise attenuation, Geophysics, 2016, 81 (2): V17-V30.

[75]Zhang, C.*; Sun, B.; Yang, H.; Ma, J. A non-split perfectly matched layer absorbing boundary condition for the second-order wave equation modeling.Journal of Seismic Exploration, 2016, 25(6): 513-525.

[74]Yongna Jia; Siwei Yu; Lina Liu; Jianwei Ma.A fast rank-reduction algorithm for three-dimensional seismic data interpolation.Journal of Applied Geophysics, 2016, 132: 137-145.

2015

[73]Bossmann, Florian; Ma, Jianwei*, Asymmetric chirplet transform for sparse representation of seismic data, Geophysics, 2015, 80 (6): WD89-WD100.

[72]Yu, Siwei*; Ma, Jianwei; Zhang, Xiaoqun; Sacchi, Mauricio D., Interpolation and denoising of high-dimensional seismic data by learning a tight frame, Geophysics, 2015, 80 (5): V119-V132.

[71]J. Fitschen*, J. Ma, S. Schuff, Removel of curtaining effects by a variational model with directional first and second order differences, 2015, IEEE Trans. Image Processing, submitted.

[70]S. Yu, J. Ma*, S. Osher, Monte Carlo data-driven tight frame for seismic data recovery, Geophysics, 2015, revised.

[69]Yu, Siwei; Ma, Jianwei*; Zhang, Xiaoqun; Sacchi, Mauricio, Denoising and interpolation of high-dimensional seismic data by learning tight frame, Geophysics, 2015, 80 (5): V119-V132.

[68]Y. Chen*, S. Jiao, J. Ma, et al., Ground-roll noise attenuation using a simple and effective approach based on local bandlimited orthogonalization, IEEE Geoscience and Remote Sensing Letters, 2015, accepted.

[67]Tang, Gang; Yang, Qin; Wang, Huaqing; Luo, Ganggang; Ma, Jianwei, Sparse classfication of rotating machinery faults based on compressive sensing strategy, Mechatronics, 2015, 31: 60-67.

[66]Wang, Jing; Ma, Jianwei*; Han, Bo; Cheng, Yuanfeng, Seismic data reconstruction via weighted nuclear-norm minimization, Inverse Problem in Science and Engineering, 2015, 23(2): 277-291.

[65]Chen, Yangkang; Jiao, Shebao; Ma, Jianwei; Chen, Hanming; Zhou, Yatong; Gan, Shuwei.Ground-rollnoise attenuation using a simple and effective approach based on localbandlimited orthogonalization.IEEE Geoscience and Remote Sensing Letters, 2015, 12(11): 2316-2320.

[64]Tang, Gang; Hou, Wei; Wang, Huaqing*; Luo, Ganggang; Ma, Jianwei.Compressive Sensing of Roller Bearing Faults via Harmonic Detection from Under-Sampled Vibration Signals.Sensors, 2015, 15(10): 25648-25662.

2014

[63]S. Beckouche, J. Ma*, Simultaneously dictionary learning and denoising for seismic data, Geophysics, 2014, 79 (3), A27-A31.

[62]J. Liang, J. Ma*, X. Zhang, Seismic data restoration via data-driven tight frame,Geophysics, 2014, 79 (3), V65-V74.

[61]H. Wang, Y. Chen, J. Ma*, Curvelet-based registration of multi-component seismic waves, Journal of Applied Geophysics, 2014, 104, 90-96.

2013

[60]Y. Yang*, J. Ma, S. Osher, Seismic data reconstruction via matrix completion, Inverses Problem and Imaging, 2013, 7 (4): 1379-1392.

[59]J. Ma*, Three-dimensional irregular seismic data reconstruction via low-rank matrix completion, Geophysics, 2013, 78 (5): V181-V192.

[58]Shahidi, Reza*; Tang, Gang; Ma, Jianwei; Herrmann, Felix J. Application of randomized sampling schemes to curvelet-based sparsity-promoting seismic data recovery, Geophysical Prospecting, 2013, 61 (5): 973-997.

2012

[57]Li, Qin; Ma, Jianwei*; Erlebacher, Gordon. A new reweighted algorithm with support detection for compressed sensing, IEEE Signal Processing Letters, 2012, 19(7): 419-422.

[56]He, Yanyan; Hussaini, M. Yousuff; Ma, Jianwei*; Shafei, Behrang; Steidl, Gabriele, A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data, Pattern Recognition, 2012, 45, 3463-3471.

[55]Ma, Jianwei*; Plonka, Gerlind; Hussaini, M. Yousuff, Compressive video sampling with approximate message passing decoding, IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22(9): 1354-1364.

[54]Tsai, Kunyu; Ma, Jianwei*; Ye, Datian; Wu, Jian, Curvelet processing of MRI for local image enhancement, International Journal for Numerical Methods in Biomedical Engineering, 2012, 28(6-7): 661-677.

[53]Tang, Gang; Ma, JianWei; Yang, Huizhu.Seismic data denoising based on learning-type overcomplete dictionaries.Applied Geophysics, 2012, 9(1): 27-32.

[52]Xu, Jie; Ma, Jianwei*; Zhang, Dongming; Zhang, Yongdong; Lin, Shouxun, Improved total variation minimization method for compressive sensing by intra prediction, Signal Processing, 2012, 92(11): 2614-2623.

[50]Yu, Hongjun; Wu, Linzhi; Guo, Licheng; Ma, Jianwei; Li, Hui.A domain-independent interaction integral for fracture analysis of nonhomogeneous piezoelectric materials. International Journal of Solids and Structures, 2012, 49(23-24): 3301-3315.SCI

[49]Yu, Siwei; Khwaja, A. Shaharyar; Ma, Jianwei*.Compressed sensing of complex-valued data.Signal Processing, 2012, 92(2): 357-362.

[48]Wang, Jing; Ma, Jianwei*; Han, Bo; Li, Qin, Split Bregman iterative algorithm for sparse reconstruction of electrical impedance tomography, Signal Processing, 2012, 92(12): 2952-2961.

2011

[47]J. Ma*, Improved iterative curvelet thresholding for compressed sensing, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (1): 126-136.

[46]J. Ma*, Compressed sensing by iterative thresholding of geometric wavelets: a comparing study, Int. J. Wavelet, Multiresolution Information Processing, 2011, 9: 63-77.

[45]B. Sun, H. Chauris*, J. Ma, 3D post-stack one-way migration using curvelets, Journal of Seismic Exploration, 2011, 20 (3):257-271.

[44]Tang, Gang; Ma, Jianwei*, Applications of total variation based curvelet shrinkage for three-dimensional seismic denoising, IEEE Geoscience and Remote Sesing Letters, 2011, 8 (1): 103-107.

[43]Khwaja, Shaharyar; Ma, Jianwei*, Applications of compressed sensing for SAR moving target velocity estimation and image compression, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (8): 2828-2860.

[42]Plonka, Gerlind*; Ma, Jianwei, Curvelet-wavelet regularized split Bregman iteration for compressed sensing, Int. J. Wavelet, Multiresolution Information Processing, 2011, 9 (1):79-110.

[41]Ma, Jianwei*; Hussaini, M. Yousuff, Extensions of compressed imaging: flying sensor, coded mask, and fast decoding, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (9): 3128-3139.

[40]Sun, Bingbing*; Chauris, Herve; Ma, Jianwei, 3D post-stack one-way migration using curvelets, Journal of Seismic Exploration, 2011, 20 (3): 257-271.

2010

[39]Ma, Jianwei*; Plonka, Gerlind, The curvelet transform [入選2010年中國百篇最具國際影響力的論文] IEEE Signal Processing Magazine, 2010, 27(2): 118-133.SCI

[38]J. Ma*, Compressed sensing for surface characterization and metrology, IEEE Transactions on Instrumentation and Measurement, 2010, 59 (6), 1600-1615.SCI

[37]Liu, Jiong*; Ba, Jing; Ma, JianWei; Yang, HuiZhu, An analysis of seismic attenuation in random porous media, Science China Physics,Mechanics & Astronomy, 2010, 53(4): 628-637.

[36]Shan, Hao; Ma, Jianwei*.Curvelet-based geodesic snakes for image segmentation with multiple objects.Pattern Recognition Letters, 2010, 31(5): 355-360.SCI

[35]J. Liu, J. Ma, H. Yang.Research on P-wave’s propagation in White’s sphere model with patch saturation() Chinese J. Geophysics 2010, 53: 954-962.SCI

[34]Mi, Tieliang*; Ma, Jianwei; Chauris, Herve; Yang, Huizhu, Multilevel adaptive mesh modeling for wave propagation in layer media, Journal of Seismic Exploration, 2010, 19 (2):121-139.SCI

[33]Tian, Yanchun; Ma, Jianwei*; Yang, Huizhu.Wavefield simulation in porous media saturated with two immiscible fluids.Applied Geophysics, 2010, 7(1): 57-65.SCI

[32]Ma, Jianwei*; Plonka, Gerlind; Chauris, Herve, A new sparse representation of seismic data using adaptive easy-path wavelet transform, IEEE Geoscience and Remote Sensing Letters, 2010, 7(3): 540-544.SCI

[31]Krommweh, Jens; Ma, Jianwei*, Tetrolet shrinkage with anisotropic TV minimization for image approximation, Signal Processing, 2010, 90(8): 2529-2539.

2009

[30]Shan, Hao; Ma, Jianwei*; Yang, Huizhu.Comparisons of wavelets, contourlets and curvelets in seismic denoising.Journal of Applied Geophysics, 2009, 69(2): 103-115. SCI

[29]Y. Tian Z. Zhang Ma, Jianwei* H.Yang.Inversing physical parameter of saturated porous viscoelastic media by homotopy method.Chinese Journal of Geophysics, 2009, 52(9): 2328-2334.SCI

[28] J. Liu Ma, Jianwei*, H. Yang. Research on dispersion and attenuation of P wave in periodic layered-model with patchy saturation. Chinese Journal of Geophysics, 2009, 52(11): 2879-2885.SCI

[27]Liu, Jiong; Ma, Jianwei*; Yang, Huizhu.The study of perfectly matched layer absorbing boundaries for SH wave fields.Applied Geophysics, 2009, 6(3): 267-274..SCI

[26]Sun, Bingbing; Ma, Jianwei; Chauris, Herve*; Yang, Huizhu,Solving the wave equation in the curvelet domain: a mulit-scale and multi-directional approach. Journal of Seismic Exploration, 2009, 18(4): 385-399.SCI

[25]Ma, Jianwei*; Le Dimet, Francois-Xavier, Deblurring from highly incomplete measurements for remote sensing, IEEE Transactions on Geoscience and Remote Sensing, 2009, 47 (3): 792-802.SCI

[24]J. Ma*, A single-pixel imaging system for remote sensing using two-step iterative curvelet thresholding, IEEE Geoscience and Remote Sensing Letters, 2009, 6 (4): 676-680.SCI

[23]J. Ma*, Single-pixel remote sensing, IEEE Geoscience and Remote Sensing Letters, 2009, 6 (2): 199-203.SCI

[22]Ma, Jianwei*; Plonka, Gerlind.Computing with curvelets: from image processing to turbulent flows.IEEE J. Computing in Science & Engineering, 2009, 11(2): 72-80.SCI

[21]Ma, Jianwei; Hussaini, M. Yousuff*; Vasilyev, Oleg V.; Le Dimet, Francois-Xavier.Multiscale geometric analysis of turbulence by curvelets.Physics of Fluids, 2009, 21(7): 75104.SCI

2009年以前

[20]Jiang, Xiangqian*; Zeng, Wenhan; Scott, Paul; Ma, Jianwei; Blunt, Liam.Linear feature extraction based on complex ridgelet transform.Wear, 2008, 264(5-6): 428-433.. SCI

[19]Plonka, Gerlind*; Ma, Jianwei.Nonlinear regularized reaction-diffusion filters for denoising of images with textures.IEEE Transactions on Image Processing, 2008, 17(8): 1283-1294..SCI

[18]J. Ma.Compressed sensing by inverse scale space and curvelet thresholding. Applied Mathematics and Computation,2008, 206: 980-988.SCI

[17]Hu, Bin*; Tang, Gang; Ma, Jianwei; Yang, Huizhu.Parametric inversion of viscoelastic medium from VSP data using genetic algorithm.Applied Geophysics, 2008, 4(3): 194-200.SCI

[16]Ma, Jianwei*; Hussaini, M. Yousuff.Three-dimensional curvelets for coherent vortex analysis of turbulence.Applied Physics Letters, 2007, 91(18): 184101.SCI

[15]Ma, Jianwei*; Plonka, Gerlind.Combined curvelet shrinkage and nonlinear anisotropic diffusion.IEEE Transactions on Image Processing, 2007, 16(9): 2198-2206.SCI

[14]J. Ma*, Characterization of textual surfaces using wave atoms, Applied Physics Letters, 2007, 90, 264101.SCI

[13]J. Ma*, Curvelets for surface characterization, Applied Physics Letters, 2007, 90, 054109.SCI

[12]J. Ma*, Deblurring using singular integrals and curvelet shrinkage, Physics Letters A, 2007, 368, 245-250. SCI

[11]Plonka, Gerlind*; Ma, Jianwei.Convergence of an iterative nonlinear scheme for denoising of piecewise constant images.International Journal of Wavelets, Multiresolution and Information Processing, 2007, 5(6): 975-995..SCI

[10]Ma, Jianwei*; Fenn, Markus, Combined complex ridgelet shrinkage and total variation minimization, SIAM Journal on Scientific Computing, 2006, 28 (3):984-1000.SCI

[9]Ma, Jianwei*; Antoniadis, Anestis; Le Dimet, Francois-Xavier, Curvelets-based snake for multiscale detection and tracking for geophysical fluids, IEEE Transactions on Geoscience and Remote Sensing, 2006, 44 (12): 3626-3638. SCI

[8]J. Ma.Towards artifact-free characterization of surface topography using complex wavelets transform and total variation minimization Applied Mathematics and Computation 2005, 270: 1014-1030.SCI

[7]Ma, Jianwei*; Jiang, Xiangqian; Scott, Paul, Complex ridgelet for shift invariant characterization of surface topography with line singularities, Physics Letters A, 2005, 344(6): 423-431.SCI

[6]J. Ma*, An exploration of multiresolution symplectic scheme for wave propagation using second generation wavelets, Physics Letters A, 2004, 328 (1):36-46.SCI

[5]Ma, Jianwei*; Yang, Huizhu.Multiresolution symplectic scheme for wave propagation in complex media.Applied Mathematics and Mechanics (English Edition ), 2004, 25(5): 573-579.

[4]Ma, Jianwei*; Yang, Huizhu; Zhu, Yaping.MRFD method for numerical solution of wave propagation in layered media with general boundary condition.Electronics Letters, 2001, 37(20): 1267-1268.

[3]Ma, Jianwei*; Yang, Huizhu; Zhu, Yaping.Simulation of acoustic wave propagation in complex media using MRFD method.Acta Physica Sinica, 2001, 50(8): 1415-1420.

[2]Ma, Jianwei*; Zhu, Yaping; Yang, Huizhu.Multiscale-combined seismic waveform inversion using orthogonal wavelet transform.Electronics Letters, 2001, 37(4): 261-262.

[1]Li, Long; Ma, Jianwei*; Le Dimet, Francois-Xavier; Vidard, Arthur.Assimilation of Images via Dictionary Learning-Based Sparsity Regularization Strategy: An Application for Retrieving Fluid Flows.IEEE Transactions on Geoscience and Remote Sensing.

SELECTED CONFERENCES

[18]Y. Sui, X. Wang, J. Ma, Deep nonlinear seismic prior for seismic interpolation, Third International Meeting for Applied Geoscience & Energy, SEG/AAPG, Houston, USA, 2023, pp. 1515-1519.

[17]H. Zhang, J. Ma, Optimal transport with a new preprocessing for deep-learning full waveform inversion, IEEE International Conference on Image Processing (ICIP), 2022, 1446-1450

[16]W. Wang, G. McMechan, J. Ma, Elastic full wave-form inversion with recurrent neural networks, 90th SEG Annual Meeting, 2020.

[15]W. Wang, J. Ma, VMB-Net: A deep learning network for velocity model building in a cross-well acquisition geometry, 89th SEG Annual Meeting, 2019.

[14]X. Wang, J. Ma, Transform learning with group sparsity for random noise attenuation, 89th SEG Annual Meeting, 2019

[13]Y. Sui, X. Wang, J. Ma, Seismic deconvolution with weak reflection using atomic norm optimization, 89th SEG Annual Meeting, 2019.

[12]W. Wang, J. Ma, PS wavefield decomposition with CNN-learned filters, 81th EAGE Annual Meeting, 2019.

[11]L. Long, A. Vidard, F. X. Le Dimet, J. Ma, Adaptive image assimilation for 2D velocity reconstruction, AOGS 16th Annual Meeting, 2019.

[10]W. Wang, F. Yang, J. Ma, Velocity model building with a modified fully convolutional network, 88th SEG Annual Meeting, 2018, pp. 2086-2090.

[9]W. Wang, F. Yang, J. Ma, Automatic salt detection with machine learning, 80th EAGE Annual Meeting, 2018.

[8]S. Yu, J. Ma, Deep learning for attenuating random and coherence noise simultaneously, 80th EAGE Annual Meeting, 2018.

[7]S. Yu, J. Ma, Deep learning for denoising, SEG International Geophysical Conference, 2018, pp. 461-464.

[6]J. Ma, Compressed sensing based high performance computing for seismic inversion, SEG Workshop on High Performance Computing, 2016, pp. 43.

[5]J. Ma, S. Yu, Seismic data interpolation with polar Fourier transform, SPG/SEG International Geophysical Conference, 2016, pp. 480-481.

[4]G. Tang, R. Shahidi, F. Herrmann, J. Ma, Higher dimensional blue-noise sampling schemes for curvelet-based seismic data recoery, 79th SEG Annual Meeting, 2009, pp. 191-195.

[3]X. Zhang, Z. Chen, J. Wen, J. Ma, Y. Han, J. Villasenor, A compressive sensing reconstruction algorithm for trinary and binary sparse signals using pre-mapping, Data Compression Conference (DCC), 2011, pp. 203-212.

[2]J. Xu, J. Ma, D. Zhang, Y. Zhang, S. Lin, Compressive video sensing based on user attention model, 28th Picture Coding Symposium (PCS), 2010, pp. 90-93.

[1]F. Le Dimet, A. Antoniadis, J. Ma, I. Herlin, E. Huot, J. Berroir, Assimilation of images in geophysical models, International Science and Technology for Space, 2006.

INVITED BOOK CHAPTER

[2]J. Ma, A. S. Khwaja, M. Y. Hussaini, Compressed remote sensing, in Signal and Image Processing for Remote Sensing (Editor by Chi H. Chen), the second version, 2012, 73-90.

[1]G. Plonka, J. Ma, Curvelets, in Encyclopedia of Applied and Computational Mathematics (Editor by Bjorn Engquist), Springer Berlin, 2013.

發表中文期刊論文：

[29]丁超,馬堅偉. 基于彈性反射波正演表達的轉換波逆時偏移與反偏移[J]. 地球物理學報, 2024, 67 (09): 3496-3509.

[28]丁超, 馬堅偉. 基于逆散射成像條件的轉換波彈性波動方程自動偏移速度分析[J]. 石油物探, 2023, 62 (04): 645-654+668.

[27]于四偉, 楊午陽, 李海山, 王曉靜, 馬堅偉*. 基于深度學習的地震散射面波智能壓制方法[J]. 科學通報, 2021, 66 (18): 2343-2354.

[26]袁煥, 胡自多, 劉朝, 馬堅偉, 王鵬飛. 基于經驗曲波變換的面波壓制方法（英文）[J]. Applied Geophysics, 2018, 15 (01): 111-117+149-150.

[25]馬堅偉. 壓縮感知走進地球物理勘探[J]. 石油物探, 2018, 57 (01): 24-27.

[24]馬堅偉, 徐杰, 鮑躍全, 于四偉. 壓縮感知及其應用:從稀疏約束到低秩約束優化[J]. 信號處理, 2012, 28 (05): 609-623. 邀請綜述

[23]唐剛, 馬堅偉, 楊慧珠. 基于學習型超完備字典的地震數據去噪(英文)[J]. Applied Geophysics, 2012, 9 (01): 27-32+114-115.

[22]劉炯, 巴晶, 馬堅偉, 楊慧珠. 隨機孔隙介質中地震波衰減分析[J]. 中國科學:物理學力學天文學, 2010, 40 (07): 858-868.

[21]劉炯, 馬堅偉, 楊慧珠. White球狀Patchy模型中縱波傳播研究[J]. 地球物理學報, 2010, 53 (04): 954-962.

[20]田迎春, 馬堅偉, 楊慧珠. 含兩種不相混流體的飽和孔隙介質的波場模擬(英文)[J]. Applied Geophysics, 2010, 7 (01): 57-65+99-100.

[19]田迎春, 章梓茂, 趙成剛, 馬堅偉, 楊慧珠. 黏彈性流體飽和孔隙介質動力反應分析的顯式有限元法[J]. 科學技術與工程, 2010, 10 (05): 1112-1117.

[18]劉炯, 馬堅偉, 楊慧珠. 周期成層Patchy模型中縱波的頻散和衰減研究[J]. 地球物理學報, 2009, 52 (11): 2879-2885.

[17]劉炯, 馬堅偉, 楊慧珠. SH波場中完全匹配層吸收邊界研究(英文)[J]. Applied Geophysics, 2009, 6 (03): 267-274+300-301.

[16]田迎春, 章梓茂, 馬堅偉, 楊慧珠. 黏彈性雙相介質參數反演的同倫方法[J]. 地球物理學報, 2009, 52 (09): 2328-2334.

[15]單昊, 馬堅偉, 楊慧珠. 自適應全尺度小波數字圖像水印[J]. 清華大學學報(自然科學版), 2009, 49 (05): 749-754.

[14]單昊, 馬堅偉, 楊慧珠. 自適應全尺度小波數字圖像水印[J]. 清華大學學報(自然科學版)網絡.預覽, 2009, 49 (05): 137-142.

[13]劉炯, 馬堅偉, 楊慧珠, 巴晶. 縫洞型儲層錯格偽譜法模擬[J]. 石油地球物理勘探, 2008, 43 (06): 723-727+611+742.

[12]胡彬, 唐剛, 馬堅偉, 楊慧珠. 基于VSP直達波資料的粘彈介質參數遺傳算法反演(英文)[J]. Applied Geophysics, 2007, (03): 194-200+244-245.

[11]馬堅偉,楊慧珠. MULTIRESOLUTION SYMPLECTIC SCHEME FOR WAVE PROPAGATION IN COMPLEX MEDIA[J]. Applied Mathematics and Mechanics(English Edition), 2004, (05): 573-579.

[10]馬堅偉,楊慧珠. 多尺度辛格式求解復雜介質波傳問題[J]. 應用數學和力學, 2004, (05): 523-528.

[9]馬堅偉,朱亞平,楊慧珠. 二維地震波形小波多尺度反演[J]. 工程數學學報, 2004, (01): 109-113.

[8]馬堅偉,楊慧珠. 插值小波自適應求解層狀介質波傳問題[J]. 工程力學, 2003, (01): 86-90.

[7]馬堅偉,楊慧珠. 小波基方法在波傳問題中的應用[J]. 應用力學學報, 2002, (04): 26-30+159.

[6]馬堅偉,朱亞平,楊慧珠,徐新生. 多尺度有限差分方法求解波動方程[J]. 計算力學學報, 2002, (04): 379-383.

[5]馬堅偉,徐新生,楊慧珠,鐘萬勰. 基于哈密頓體系求解空間粘性流體問題[J]. 工程力學, 2002, (03): 1-5+9.

[4]馬堅偉,徐新生,楊慧珠,鐘萬勰. 平面粘性流體擾動與哈密頓體系[J]. 應用力學學報, 2001, (04): 82-86+157.

[3]馬堅偉,朱亞平,楊慧珠. 基于褶積模型的多尺度聯合反演問題[J]. 石油地球物理勘探, 2001, (04): 433-437+516.

[2]馬堅偉,楊慧珠,朱亞平. 多尺度有限差分法模擬復雜介質波傳問題[J]. 物理學報, 2001, (08): 1415-1420.

[1]馬堅偉,楊慧珠,朱亞平. 地震波形多尺度反演的一點討論[J]. 地球物理學進展, 2000, (04): 55-61.

發表會議論文 :

[19]李曉彤 & 馬堅偉. (2023). 基于二次神經元網絡的地震數據隨機噪聲衰減. (eds.) 2023年中國地球科學聯合學術年會論文集——專題二十六應用地球物理前沿、專題二十七油氣田與煤田地球物理勘探 (pp.30-33).

[18]楊芳舒 & 馬堅偉. (2023). Physics-informed wavelet implicit neural learning for isotropic elastic full-waveform inversion. (eds.) 2023年中國地球科學聯合學術年會論文集——專題十五智能物探與智能油氣田關鍵技術、專題十六海洋地球物理 (pp.56-57).

[17]王猛, 馬堅偉 & 林榮智. (2023). 基于二次神經元的地震數據線性相干噪聲壓制. (eds.) 2023年中國地球科學聯合學術年會論文集——專題十五智能物探與智能油氣田關鍵技術、專題十六海洋地球物理 (pp.43-46).

[16]隋宇涵, 杜越, 周彤 & 馬堅偉. (2022). 基于采樣策略的自監督學習在地震去噪中的應用. (eds.) 2022年中國石油物探學術年會論文集（下冊） (pp.474-477).

[15]孫慧敏, 劉朝 & 馬堅偉. (2021). 遷移輔助的無監督學習地震數據去噪. (eds.) 2021年中國地球科學聯合學術年會論文集（五）—專題十三無人機地球物理技術、專題十四地球物理人工智能和信息技術進展、專題十五智能物探 (pp.154-156).

[14]李燕梅, 王文龍 & 馬堅偉. (2021). 基于最優輸運與循環神經網絡的全波形反演. (eds.) 2021年中國地球科學聯合學術年會論文集（五）—專題十三無人機地球物理技術、專題十四地球物理人工智能和信息技術進展、專題十五智能物探 (pp.157).

[13]馬堅偉 & 楊芳舒. (2018). 深度學習地球物理反演. (eds.) 2018年中國地球科學聯合學術年會論文集（二十九）——專題59：計算地球物理方法和應用、專題60：地熱資源成因新理論與綜合探測新技術 (pp.3-5).

[12]于四偉 & 馬堅偉. (2018). 基于深度學習的地震噪聲壓制. (eds.) CPS/SEG北京2018國際地球物理會議暨展覽電子論文集 (pp.450-453).

[11]于四偉 & 馬堅偉. (2017). 基于低維流形的地震強噪聲衰減. (eds.) 2017中國地球科學聯合學術年會論文集（二十二）——專題45：深地資源地震波勘探理論、方法進展 (pp.11-14).

[10]王文龍 & 馬堅偉. (2017). 基于局部低秩近似的各向異性彈性波場分離. (eds.) 2017中國地球科學聯合學術年會論文集（二十二）——專題45：深地資源地震波勘探理論、方法進展 (pp.55-58).

[9]馬堅偉 & 于四偉. (2016). 基于極坐標傅里葉變換的抗假頻插值. (eds.) SPG/SEG北京2016國際地球物理會議電子文集 (pp.507-509+1240-1241).

[8]賈永娜, 于四偉, 劉麗娜 & 馬堅偉. (2015). 基于快速矩陣降秩的三維地震數據重建. (eds.) 中國石油學會2015年物探技術研討會論文集 (pp.36-39).

[7]馬堅偉 & 于四偉. (2014). 基于數據驅動緊框架的高維地震數據重構. (eds.) 2014年中國地球科學聯合學術年會——專題18：油藏地球物理論文集 (pp.18-20).

[6]馬堅偉 & 王靜. (2012). 剪切波稀疏約束和矩陣低秩約束的地震數據重構. (eds.) 中國地球物理2012 (pp.499).

[5]馬堅偉. (2011). 稀疏促進地震勘探. (eds.) 中國地球物理學會第二十七屆年會論文集 (pp.101-102).

[4]馬堅偉, 唐剛 & 湯文. (2011). 基本曲波變換和壓縮感知的不完備地震數據恢復. (eds.) 中國地球物理學會第二十七屆年會論文集 (pp.617).

[3]馬堅偉 & 孫兵兵. (2011). 三維曲波變換地震偏移. (eds.) 中國地球物理學會第二十七屆年會論文集 (pp.804).

[2]唐剛, 馬堅偉 & 楊慧珠. (2009). 壓縮采樣及其在地震數據處理中的應用. (eds.) 中國地球物理·2009 (pp.610).

[1]馬堅偉. (2009). 曲波變換和壓縮采樣在地震勘探中的成就和前景. (eds.) 中國地球物理·2009 (pp.89).

榮譽獎勵：

曾獲得國家杰出青年科學基金（2016）、國家萬人計劃領軍人才（2017）、科技部中青年科技創新人才（2017）、中組部首屆青年拔尖人才（20111）、教育部新世紀優秀人才（2011）、中國百篇最具影響國際論文（2010）、中國地球物理學會傅承義青年科技獎（2011）、中國地球物理科技創新二等獎（2018）、黑龍江省自然科學一等獎（2019）。

1、CGS Science and Technology Progress Awards (second prize), 2022

2、Natural Science of Heilongjiang Province (first prize), 2019

3、CGS Technology Innovation Awards (second prize), 2018

4、Wanren Jihua, 2017

5、NSFC Distinguished Young Scholar, 2016

6、National Youth Talent Support Program, 2011

7、Longjiang Chair Professor, 2011

8、New Century Excellent Talents by Ministry of Education of China, 2011

9、Cheng-Yi Fu Awards by Chinese Geophysical Society (CGS), 2011，

10、China Top 100 Most Impact Papers Published in International Journals, 2010

附：

應用數學研究所馬堅偉教授榮獲2011年度“傅承義青年科技獎”

2011年度“傅承義青年科技獎”五位獲獎者。馬堅偉教授（后排右二）

2011年10月18日至21日，中國地球物理學會第27屆年會在湖南長沙召開。會上我校應用數學研究所所長馬堅偉教授榮獲2011年度“傅承義青年科技獎”，系我校首次獲得的中國地球物理學界年度大獎。馬堅偉教授受邀作了題目為“稀疏促進地震勘探”的大會報告。

中國地球物理學會作為我國地球物理領域規模最大、最具權威的學術團體，此次第27屆學術年會的召開，吸引了來自我國地震、石油、國土系統的科研院所、生產單位以及港澳臺地區的1000多名專家與學者參加。傅承義是國際地震波傳播理論研究的先驅者之一，我國地球物理科學的主要奠基人。傅承義青年科技獎每年頒發一次，授予過去5年在地球物理學科做出突出成績的1－5名青年學者（45歲以下）。

馬堅偉教授，1976年12月出生于浙江，2002年8月在清華大學獲得博士學位。2002－2006年在劍橋大學等歐洲高校從事博士后研究，2006－2010年在清華大學航天航空學院工作，2010－2011在美國佛羅里達州立大學工作，2011年7月入職哈爾濱工業大學百人計劃教授崗位，并擔任應用數學研究所所長。獲得2011年第十屆黑龍江省青年科技獎。從事研究興趣為稀疏變換、壓縮感知、圖像處理、地震油氣勘探和航天遙感成像。發表SCI期刊論文50余篇，國際期刊Int. J. Artificial Intel. 和J. Signal Inform. Process. 編委，第二屆應用地球物理會議主席。近期在IEEE Signal Processing Magazine（影響因子5.86）等著名期刊上撰寫邀請綜述論文3篇，另外撰寫關于壓縮感知遙感成像的邀請書章一篇。作為項目負責人承擔了國家自然科學基金、航天創新基金、中石油集團風險基金等8個項目，作為核心技術骨干參加了973項目子課題。

來源：哈爾濱工業大學理學院 2011/11/14

馬堅偉教授的論文入選2010年度中國百篇最具國際影響力的學術論文

我校應用數學研究所所長馬堅偉教授的論文入選2010年度中國百篇最具國際影響力的學術論文。

根據中國科學技術信息研究所，12月上旬發布的數據，綜合論文的創新性、發表論文的期刊水平、是否處于研究前沿、論文的合作強度、論文的文獻類型、論文的參考文獻類型、論文的國際知名度等指標，兼顧學科分布，從表現不俗的SCI論文中，評選出2010年百篇最具影響的國際學術論文。清華大學共5篇入選，黑龍江省1篇入選。馬堅偉教授此次入選的論文為: J. Ma, G. Plonka, The curvelet transform, IEEE Signal Processing Magazine, 2010, 27 (2), 118-133。

馬堅偉教授，1976年12月出生于浙江東陽，2002年8月在清華大學獲得博士學位。2002－2006年在劍橋大學等歐洲高校從事博士后研究，2006－2010年在清華大學航天航空學院工作，2010－2011在美國佛羅里達州立大學工作，2011年7月入職哈爾濱工業大學百人計劃教授崗位，并擔任應用數學研究所所長。獲得2011年中國地球物理學會傅承義獎，第十屆黑龍江省青年科技獎，入選教育部新世紀優秀人才支持計劃。從事研究興趣為稀疏變換、壓縮感知、圖像處理、地震油氣勘探和航天遙感成像。發表IEEE Transactions，SIAM J.等SCI期刊論文50余篇。

時間：2011-12-20

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