Customization(Multiple times)

Google个人首页: https://scholar.google.com/citations?user=7uE795IAAAAJ&hl=en&oi=ao

 

代表性期刊论文

  1. H. Chen, M. D. Sacchi, H. H. Lari, J. Gao, and X. Jiang, Nonstationary seismic reflectivity inversion based on prior-engaged semisupervised deep learning method, in Geophysics. 2023, 88(1):WA115-WA128.
  2. H. Chen; M. D. Sacchi; J. Gao, Parametric Convolutional Dictionary Learning and Its Applications to Seismic Data Processing, in IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5915815.
  3. H. Chen, J. Gao, W. Zhang and P. Yang, Seismic Acoustic Impedance Inversion via Optimization-Inspired Semisupervised Deep Learning, in IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11, 2022.
  4. H. Chen, J. Gao, X. Jiang, Z. Gao, and W. Zhang, Optimization-inspired deep learning high-resolution inversion for seismic data, in Geophysics, 86 (3), R265-R276, 2021.
  5. H. Chen, J. Gao, Z. Gao, D. Chen and T. Yang, A Sequential Iterative Deep Learning Seismic Blind High-Resolution Inversion, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7817-7829, 2021.
  6. H. Chen, J. Gao and B. Zhang, An Adaptive Time-Varying Seismic Super-Resolution Inversion Based on Lp Regularization, in IEEE Geoscience and Remote Sensing Letters, 18 (8), 1481-1485, 2021.
  7. H. Chen, J. Gao, N. Liu and Y. Yang, Multitrace Semiblind Nonstationary Deconvolution, in IEEE Geoscience and Remote Sensing Letters, 16 (8), 1195-1199, 2019.
  8. J. Gao, H. Chen, L. Wang and B. Zhang, Super-Resolution Inversion of Non-Stationary Seismic Traces, in CSIAM Transactions on Applied Mathematics. 2 (1), 131-161.
  9. H. Chen, S. Cao, S. Yuan and S. Zu, Iterative attenuation of interference via a rank reduction algorithm, in Journal of Applied Geophysics, 155, 62-69, 2018

会议论文

  1. H. Chen, M. Sacchi and J. Gao, Model-driven Deep Learning Nonstationary Seismic Reflectivity Inversion Method, in GeoConvention 2022.
  2. H. Chen, M. Sacchi, and J. Gao, Seismic reflectivity inversion via a regularized deep image prior, in Second International Meeting for Applied Geoscience& Energy, 2022.
  3. H. Chen, J. Gao, Z. Gao, S. Shen, et al., HQS-HRINet: An unrolled deep learning method for seismic high-resolution inversion with an inaccurate wavelet, in 82nd EAGE Annual Conference & Exhibition, 2021.
  4. H. Chen, J. Gao and Y. Yang, Seismic Super Resolution Inversion Based on Model-driven Deep Learning, in 14th International Conference on Theoretical and Computational Acoustics, 2019.
  5. H. Chen, S Cao, S Yuan, Z Wang, et al., Nonstationary sparse deconvolution with the SPGL1 algorithm, in International Geophysical Conference, 2017.
  6. H. Chen, S Cao, S Yuan, S Zu, et al., Robust iterative deblending of simultaneous-source data, in SEG International Exposition and Annual Meeting, 2017.
  7. H. Chen, S Cao, S Yuan, X Pan, et al., Nonstationary sparse reflectivity inversion with EADTV Regularization, in 79th EAGE Conference and Exhibition, 2017.

发明专利

  1. 高静怀, 陈红灵, 高照奇, 李闯, 米立军, 张金淼, 王清振. 基于模型驱动深度学习的地震超分辨反演方法[P]. CN112083482A. 2021.
  2. Jinghuai Gao, Hongling Chen, Zhaoqi Gao, Chuang Li, Lijun Mi, Jinmiao Zhang, Qingzhen Wang. Model-driven deep learning-based seismic super-resolution inversion method [P]. US11226423B1. 2022.