A Maxwell's Equations Based Deep Learning Method for Time Domain Electromagnetic Simulations P Zhang, Y Hu, Y Jin, S Deng, xuqing Wu, J Chen IEEE Journal on Multiscale and Multiphysics Computational Techniques 6, 35-40, 2021 | 96 | 2021 |
A supervised descent learning technique for solving directional electromagnetic logging-while-drilling inverse problems Y Hu, R Guo, Y Jin, X Wu, M Li, A Abubakar, J Chen IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8013-8025, 2020 | 60 | 2020 |
A theory-guided deep neural network for time domain electromagnetic simulation and inversion using a differentiable programming platform Y Hu, Y Jin, X Wu, J Chen IEEE Transactions on Antennas and Propagation 70 (1), 767-772, 2021 | 41 | 2021 |
A deep learning-enhanced framework for multiphysics joint inversion Y Hu, X Wei, X Wu, J Sun, J Chen, Y Huang, J Chen Geophysics 88 (1), K13-K26, 2023 | 21 | 2023 |
Deep learning-enhanced multiphysics joint inversion Y Hu, X Wei, X Wu, J Sun, J Chen, J Chen, Y Huang First International meeting for applied geoscience & energy, 1721-1725, 2021 | 18 | 2021 |
A robust learning method for low-frequency extrapolation in GPR full waveform inversion Y Jin, Y Zi, W Hu, Y Hu, X Wu, J Chen IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 11 | 2022 |
Three-dimensional cooperative inversion of airborne magnetic and gravity gradient data using deep-learning techniques Y Hu, X Wei, X Wu, J Sun, Y Huang, J Chen Geophysics 89 (1), WB67-WB79, 2024 | 8 | 2024 |
Deep Learning Enhanced Joint Inversion of Multiphysics Data with Nonconforming Discretization Y Hu, xuqing Wu, J Chen, xuqing Wu, Y Huang 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2021 | 8 | 2021 |
A physics-augmented deep learning method for seismic data deblending S Wang, W Hu, Y Hu, X Wu, J Chen SEG Technical Program Expanded Abstracts 2020, 3877-3881, 2020 | 8 | 2020 |
Deep learning enhanced joint geophysical inversion for crosswell monitoring Y Hu, Y Jin, X Wu, J Chen, J Chen, Q Shen, Y Huang 2021 United States National Committee of URSI National Radio Science Meeting …, 2021 | 7 | 2021 |
Deep perceptual loss for multi-physics joint inversion Y Hu, X Wu, J Chen 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | 6 | 2022 |
RNN-based gradient prediction for solving magnetotelluric inverse problem Y Jin, Y Hu, X Wu, J Chen SEG International Exposition and Annual Meeting, D041S085R004, 2020 | 6 | 2020 |
Solving time domain electromagnetic forward and inverse problems using a differentiable programming platform Y Hu, Y Jin, X Wu, J Chen 2021 International Conference on Electromagnetics in Advanced Applications …, 2021 | 5 | 2021 |
A flexible and versatile joint inversion framework using deep learning Y Hu, J Chen, X Wu, Y Huang SEG International Exposition and Annual Meeting, D011S079R001, 2022 | 4 | 2022 |
Solving full waveform inversion enhanced by efficient progressive transfer learning Y Jin, Y Zi, W Hu, Y Hu, X Wu, J Chen 2022 United States National Committee of URSI National Radio Science Meeting …, 2022 | 4 | 2022 |
A physics-driven deep-learning inverse solver for subsurface sensing Y Hu, Y Jin, X Wu, J Chen 2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP …, 2020 | 4 | 2020 |
3d joint inversion of multi-physics data using deep learning techniques Y Hu, X Wei, X Wu, J Sun, Y Huang, J Chen 2023 XXXVth General Assembly and Scientific Symposium of the International …, 2023 | 2 | 2023 |
Deep learning enhanced joint inversion for mineral exploration using airborne geophysics: Application in decorah area Y Hu, X Wei, X Wu, J Sun, J Chen, Y Huang Third International Meeting for Applied Geoscience & Energy, 1117-1121, 2023 | 2 | 2023 |
Time‐Domain Electromagnetic Forward and Inverse Modeling Using a Differentiable Programming Platform Y Hu, Y Jin, X Wu, J Chen Advances in Time‐Domain Computational Electromagnetic Methods, 395-421, 2022 | 1 | 2022 |
Multiphysics joint inversion using successive deep perceptual constraints Y Hu, J Chen, X Wu, Y Huang 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2022 | 1 | 2022 |