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Yanyan Hu
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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
602021
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
502020
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
242021
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
152021
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
122023
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
82021
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
62021
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
62020
Deep perceptual loss for multi-physics joint inversion
Y Hu, X Wu, J Chen
83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022
52022
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
42022
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
42020
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
32022
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
32021
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
32020
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
22022
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
12024
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
12023
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
12022
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
12022
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
2023
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