Jianwei Ma (Senior Member, IEEE) received the Ph.D. degree in solid mechanic from Tsinghua University, Beijing, China, in 2002. From 2006 to 2010, he was an Assistant Professor and an Associate Professor with the School of Aerospace, Tsinghua University. From 2010 to 2011, he was a Scientist with Florida State University. He has been a Postdoctoral Researcher and has visiting experiences with the University of Cambridge, the University of Grenoble, the University of Goettingen, EPFL, the Ecole des Mines de Paris, the University of Texas at Austin, the University of California at Los Angeles, etc. After 2011, he was a Professor with the Department of Mathematics, and the Vice Dean of the Institute of Artificial Intelligence (AI), Harbin Institute of Technology, Harbin, China. He is a Professor with the School of Earth and Space Sciences, Director of Center for Artificial Intelligence Geoscience, and Director of Center for Habitable Intelligent Planet at Institute of AI, Peking University, China, since 2020. His main research interests include sparse transform, geophysical data processing, inverse problems, compressed sensing, and deep learning. He was a recipient of the NSFC Distinguished Young Scholars in 2016 and the Principal Investigator of the National Key Research and Development Program of China. He is associate editor for IEEE TGRS. He published reviewal papers in Reviews of Geophysics and IEEE Signal Processing Magazine.

 MathGeo download  MathGeo is an open-source software package for sparse transform, artificial intelligence, seismic data processing and inversion to reproducible computational experiments.

MathGeo2020 updated: https://gitee.com/sevenysw/MathGeo2020

SELECTED PAPERS

1. 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, submitted.

2. Z. Xue, Y. Wang, X. Wu, J. Ma*, Multi-Geophysical information neural network for seismic tomography, Geophysics, 2024, submitted.

3. F. Yang, J. Ma*, Gabor-wavelet-activation implicit neural learning for full waveform inversion, Geophysics, 2024, submitted

4. F. Bossmann, W. Wu, J. Ma*, A fast and gridless ORKA algorithm for tracking moving and deforming objects, Inverse Problems, 2024, submitted.

5. Y. Sui, X. Wang, J. Ma*, Quadratic Unet for seismic random noise attenuation, Geophysics, 2024, submitted.

6. 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, revised.

7. F. Li, H. Liu, W. Wang, J. Ma*, Swin transformer for seismic denoising, IEEE GRSL, 2024, accepted.

8. Q. Liu, J. Ma*, Generative interpolation via a diffusion probabilistic model, Geophysics, 2024, 89 (1) .

9. 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.

10. 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.

11. Y. Xu, S. Yu*, L. Dong, J. Ma, Dealiased seismic data interpolation by dynamic matching, Geophysics, 2023, revised.

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

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

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

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

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

24. Y. Sui, X. Wang, J. Ma*, Deep unfolding dictionary learning for seismic denoising, Geophysics, 2023, 88 (1), WA37-WA53. 

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

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

27. H. Sun, F. Yang, J. Ma*, Seismic random noise attenuation via self-supervised transfer learning, IEEE GRSL, 2022,19.

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

29. 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.

30. F. Bossmann, J. Ma, ORKA: object reconstruction using a K-approximation graph, Inverse Problems, 2022, 38, 125009. 

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

32. Y. Wu, J. Ma*, Rayleigh wave equations with couple stress: modeling and dispersion characteristic, Geophysics, 2022, 87 (1), T1-T13.

33. S. Yu, J. Ma*, Deep learning for geophysics: current and future trends, Reviews of Geophysics, 2021, 59 (3), e2021RG000742.

34. F. Yang, T. Pham, N. Brandenberg, M. Lutolf, J. Ma*, M. Unser, Robust phase unwrapping via deep image prior for quantitative phase imaging, IEEE Transactions on Image Processing, 2021, 30, 7025-7037.

35. W. Wang*, G. McMechan, J. Ma, Elastic isotropic and anisotropic full wave-from inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks, Geophysics, 2021, 86 (6), R795-R810.

36. W. Wang*, G. McMechan, J. Ma, F. Xie, Automatic velocity picking from semblances with a new deep learning regression strategy: comparison with a classification approach, Geophysics, 2021, 86 (2), U1-U13.

37. 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.
    

38. J. Zhang, H. Zhu, S. Yu, J. Ma*, Constructing the seismograms of future earthquakes in Yunnan, China using compressed sensing, Seismological Research Letters, 2021, 91 (1), 261-274.

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

40. Y. Sui, J. Ma*, Blind sparse spike deconvolution with thin layers and structure, Geophysics, 2020, 85 (6), V481-496.

41. F. Yang, T. Pham, H. Gupta, M. Unser, J. Ma*, Deep learning projector for optical diffraction tomography, Optics Express, 2020, 28 (3), 3905-3921.

42. H. Zhang, X. Yang, J. Ma*, Can learning from natural image denoising be used for seismic data interpolation?, Geophysics, 2020, 85 (4), WA115-WA136.

43. S. Yu, J. Ma*, B. Zhao, Off-the-grid VSP data regularization by a compressive sensing method, Geophysics, 2020, 85 (2), V157-V168.

44. W. Wang*, J. Ma, Velocity model building in a cross-well acquisition geometry with image-trained artificial neural networks, Geophysics, 2020, 85 (2), U31-U46.

45. X. Wang, J. Ma*, Adaptive dictionary learning for blind seismic data denoising, IEEE Geoscience and Remote Sensing Letters, 2020, 17 (7), 1273-1277.

46. F. Bossmann, J. Ma*, Enhanced image approximation using shifted rank-1 reconstruction, Inverse Problems and Imaging, 2020, 14 (2), 267-290.

47. X. Wang, B. Wen, J. Ma*, Denoising with weak feature preservation by group-sparsity transform learning, Geophysics, 2019, 84 (6), V351-368.

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

49. F. Yang, J. Ma*, Deep-learning inversion: a next generation seismic velocity model building method, Geophysics, 2019, 84 (4), R583-R599. 

50. Y. Sui, J. Ma*, A nonstationary sparse spike deconvolution with anelastic attenuation, Geophysics, 2019, 84 (2), R221-R234.

51. L. Li, A. Vidard, F. Le Dimet, J. Ma*, Topological data assimilation using Wasserstein distance, Inverse Problems, 2019, 35, 015006.

52. K. Cai, J. Ma*, MDCA: multidirectional component analysis for robust estimation of multiple local dips, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (5), 2798-2810.

53. Z. Liu J. Ma*, X. Yong, Line survey joint denoising via low rank minimization, Geophysics, 2019, 84 (1), V21-V32.

54. L. Liu, J. Ma*, Structured graph dictionary learning and application on the seismic denoising, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (4), 1883-1893.

55. D. Gemechu, J. Ma*, X. Yong, A compound method for noise attenuation, Geophysical Prospecting, 2018, 66, 1548-1567.

56. L. Liu, J. Ma*, G. Plonka, Sparse graph-regularized dictionary learning for random seismic noise, Geophysics, 2018, 83 (3), V213-V231.

57. S. Yu, J. Ma*, S. Osher, Geometric mode decomposition, Inverse Problems and Imaging, 2018, 12 (4), 831-852.

58. Y. Jia, S. Yu, J. Ma*, Intelligent interpolation by Monte Carlo machine learning, Geophysics, 2018, 83 (2), V83-V97.

59. S. Yu, J. Ma*, Complex variational model decomposition for slop-preserving denoising, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (1), 586 - 597.

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

61. L. Li, F. Le Dimet, J. Ma*, A. Vidard, 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.

62. L. Liu, G. Plonka, J. Ma*, Seismic data interpolation and denoising by learning a tensor tight frame, Inverse Problems, 2017, 33 (10), 105011. （Highlights of 2017)

63. S. Yu, S. Osher, J. Ma*, Z. Shi, Noise attenuation in a low dimensional manifold, Geophysics, 2017, 82 (5), V321-V334.

64. Y. Jia, J. Ma*, What can machine learning do for seismic data processing? an interpolation application, Geophysics, 2017, 82 (3), V163-V177.

65. J. Fitschen*, J. Ma, S. Schuff, Removel of curtaining effects by a variational model with directional first and second order differences, Computer Vision and Image Understanding, 2017, 155, 24-32.

66. H. Wang, M. Sacchi, J. Ma*, Linearized dynamic warping with L1-norm constraint for multi-component registration, Journal of Applied Geophysics, 2017, 139, 170-176.

67. F. Bossmann, J. Ma*, Asymmetric chirplet transform--Part 2: phase, frequency, and chirp rate, Geophysics, 2016, 81 (6), V425-V439.

68. C. Zhang, B. Sun*, J. Ma, H. Yang, Y. Hu, Splitting algorithm for high-order compact finite difference scheme in wave equation modeling, Geophysics, 2016,  81 (6), T295-T302.

69. S. Yu, J. Ma*, S. Osher, Monte Carlo data-driven tight frame for seismic data recovery, Geophysics, 2016, 81 (4),  V327-V340.

70. Y. Chen, J. Ma*, S. Fomel, Double sparsity dictionary for seismic noise attenuation, Geophysics, 2016, 81 (2), V17-V30.

71. F. Bossmann, J. Ma*, Asymmetric chirplet transform for sparse representation of seismic data, Geophysics, 2015, 80 (6), WD89-WD100.

72. S. Yu, J. Ma*, X. Zhang, M. Sacchi, Interpolation and denoising of high-dimensional seismic data by learning a tight frame, Geophysics, 2015, 80 (5), V119-V132.

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

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

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

76. Y. Yang*, J. Ma, S. Osher, Seismic data reconstruction via matrix completion, Inverse Problems and Imaging, 2013, 7 (4), 1379-1392.

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

78. R. Shahidi*, G. Tang, J. Ma, F. Herrmann, Application of randomized sampling schemes to curvelet-based sparsity-promoting seismic data recovery, Geophysical Prospecting, 2013, 61 (5), 973-997.

79. Q. Li, J. Ma*, G. Erlebacher, A new reweighted algorithm with support detection for compressed sensing, IEEE Signal Processing Letters, 2012, 19 (7), 419-422.

80. Y. He, M. Y. Hussaini, J. Ma*, B. Shafei, G. Steidl, 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.

81. J. Ma*, G. Plonka, M. Y. Hussaini, Compressive video sampling with approximate message passing decoding, IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22 (9), 1354-1364.

82. J. Wang, J. Ma*, B. Han, Qin Li, Split Bregman iterative algorithm for sparse reconstruction of electrical impedance tomography, Signal Processing, 2012, 92, 2952-2961.

83. J. Xu, J. Ma*, Y. Zhang et al., Improved total variation minimization method for compressive sensing by intra prediction, Signal Processing, 2012, 92, 2614-2623.

84. S. Yu, A. S. Khwaja, J. Ma*, Compressed sensing of complex-value data, Signal Processing, 2012, 92, 357–362.

85. K. Tsai, J. Ma*, D. Ye, J. Wu, Curvelet processing of MRI for local image enhancement, Int. J. Numerical Methods in Biomedical Engineering, 2012, 28 (6-7), 661-677.

86. G. Tang*, J. Ma, H. Yang, Seismic denoising via learning sparse dictionary, Applied Geophysics, 2012, 9, 27-32.

87. J. Ma*, M. Y. Hussaini, Extensions of compressed imaging: flying sensor, coded mask, and fast decoding, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (9), 3128-3139.

88. A. S. Khwaja, J. Ma*, Applications of compressed sensing for SAR moving target velocity estimation and image compression, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (8), 2828-2860.

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

90. G. Plonka*, J. Ma, Curvelet-wavelet regularized split Bregman iteration for compressed sensing, Int. J. Wavelet, Multiresolution Information Processing, 2011, 9 (1), 79-110.

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

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

93. G. Tang, J. Ma*, Applications of total variation based curvelet shrinkage for three-dimensional seismic denoising, IEEE Geoscience and Remote Sensing Letters, 2011, 8 (1), 103-107.

94. J. Ma*, G. Plonka, The curvelet transform, IEEE Signal Processing Magazine, 2010, 27 (2), 118-133.

95. J. Krommweh, J. Ma*, Tetrolet shrinkage with anisotropic TV minimization for image approximation, Signal Processing, 2010, 90, 2529-2539.

96. J. Ma*, G. Plonka, H. Chauris, A new sparse representation of seismic data using adaptive easy-path wavelet transform, IEEE Geoscience and Remote Sensing Letters, 2010, 7 (3), 540-544.

97. H. Shan, J. Ma*, Curvelet-based geodesic active contours for multiple objects image segmentation, Pattern Recognition Letters, 2010, 31 (5), 355-360.

98. J. Liu*, J. Ba, J. Ma, H. Yang, An analysis of seismic attenuation in random porous media, Science in China, Series G, 2010, 53, 628-637.

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

100. J. Ma*, F.-X. Le Dimet, Deblurring from highly incomplete measurements for remote sensing, IEEE Transactions on Geoscience and Remote Sensing, 2009, 47 (3), 792-802.

101. 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.

102. J. Ma*, Single-pixel remote sensing, IEEE Geoscience and Remote Sensing Letters, 2009, 6 (2), 199-203.

103. J. Ma*, M. Y. Hussaini, O. Vasilyev, F. Le Dimet, Multiscale Geometric analysis of turbulence by curvelets, Physics of Fluids, 2009, 21, 075104.

104. H. Shan, J. Ma*, H. Yang, Comparisons of wavelets, contourlets and curvelets for seismic denoising, Journal of Applied Geophysics, 2009, 69, 103-115.

105. B. Sun, J. Ma, H. Chauris*, H. Yang, Solving the wave equation in the curvelet domain: a multi-scale and multi-directional approach, Journal of Seismic Exploration, 2009, 18, 385-399.

106. G. Plonka*, J. Ma, Nonlinear regularized reaction-diffusion filters for denoising of images with textures, IEEE Transactions on Image Processing, 2008, 17 (8), 1283-1294.

107. X. Jiang*, W. Zeng, P. Scott, J. Ma, L. Blunt, Linear feature extraction based on complex ridgelet transform, Wear, 2008, 265, 428-433.

108. J. Ma*, G. Plonka, Combined curvelet shrinkage and nonlinear anisotropic diffusion, IEEE Transactions on Image Processing, 2007, 16 (9), 2198-2206.

109. J. Ma*, M. Y. Hussaini, There-dimensional curvelets for coherent vortex analysis of turbulence, Applied Physics Letters, 2007, 91, 184101.

110. J. Ma*, Curvelets for surface characterization, Applied Physics Letters, 2007, 90, 054109.

111. J. Ma*, Characterization of textual surfaces using wave atoms, Applied Physics Letters, 2007, 90, 264101.

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

113. G. Plonka*, J. Ma, Convergence of an iterative nonlinear scheme for denoising of piecewise constant images, Int. J. Wavelet, Multiresolution and Information Processing, 2007, 5, 975-995.

114. J. Ma*, M. Fenn, Combined complex ridgelet shrinkage and total variation minimization, SIAM Journal on Scientific Computing, 2006, 28 (3), 984-1000.

115. J. Ma*, A. Antoniadis, F.-X. Le Dimet, Curvelets-based multiscale detection and tracking for geophysical fluids, IEEE Transactions on Geoscience and Remote Sensing, 2006, 44 (12), 3626-3638.

116. J. Ma*, J. Xiang, P. Scott, Complex ridgelet for shift invariant characterization of surface topography with line singularities, Physics Letters A, 2005, 344, 423-431.

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

SELECTED CONFERENCES

1. 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.
   

2. 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.

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

4. 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.
   

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

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

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

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

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

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

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

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

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

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

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

16. 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.

17. 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.

18. 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

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 Bjorn Engquist), Springer Berlin, 2013.

Member of the SEG China Advisory Committee, 2021-2023

Board of Directors, SEG Global Inc., 2020

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

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

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

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

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

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

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

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

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

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

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

Committee member for CSIAM (2016-2021)

IEEE Senior Member, SEG Active Member, EAGE member

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

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

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

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

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

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

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

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

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

Natural Science of Heilongjiang Province (first prize), 2019

CGS Technology Innovation Awards (second prize), 2018

Wanren Jihua, 2017

NSFC Distinguished Young Scholar, 2016

National Youth Talent Support Program, 2011

Longjiang Chair Professor, 2011

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

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

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

1998 - 2002,  Ph. D. Solid Mechanics, Tsinghua University

1994 - 1998,  B. S.  Engineering Mechanics, Dalian University of Technology

Prof. Anestis Antoniadis, University of Joseph Fourier, Grenoble, France

Dr. Florian Bossmann, University of Goettingen, Germany

Mr. Simons Bechouche, CEA, France

Dr. Nathalie Brandenberg, Ecole Polytechnique Federale de Lausanne, Switzerland

Prof. Herve Chauris, Ecole des Mines de Paris, France

Prof. Francois Le Dimet, University of Joseph Fourier and INRIA, France

Prof. Gorden Erlebacher, Florida State University, USA

Prof. Sergey Fomel, University of Texas at Austin, USA

Dr. Markus Fenn, University of Mannheim, Germany

Prof. Felix Herrmann, University of British Columbia, Canada

Prof. M Yousuff Hussaini, Florida State University, USA

Prof. Jane Jiang, University of Huddersfield, UK

Dr. Jens Krommweh, University of Duisburg-Essen, Germany

Prof. Matthias Lutolf, Ecole Polytechnique Federate de Lausanne, Switzerland

Prof. George McMechan, University of Texas at Dallas, USA

Prof. Stanley Osher, University of California at Los Angeles, USA

Prof. Gerlind Plonka, University of Goettingen, Germany

Dr. Thanh-An Pham, Ecole Polytechnique Federate de Lausanne, Switzerland

Prof. Mauricio Sacchi, University of Alberta, Canada

Prof. Gabriele Steidl, University of Kaiserslautern, Germany

Prof. Michael Unser, Ecole Polytechnique Federale de Lausanne, Switzerland

Prof. Oleg Vasilyev, University of Colorado at Boulder, USA

Prof. JohnVillasenor, University of California at Los Angeles, USA

Prof. Bihan Wen, Nanyang Technological University, Singapore

Prof. Jiangtao Wen, Tsinghua University (Computer Science), China

Prof. Huizhu Yang, Tsinghua University (School of Aeropace), China

Prof. Datian Ye, Tsinghua University (Biomedical Engineering), China

Prof. Xiaoqun Zhang, Shanghai Jiao Tong University, China