Yuxiao Ren
Yuxiao Ren
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Cited by
Cited by
Deep-learning inversion of seismic data
S Li, B Liu, Y Ren, Y Chen, S Yang, Y Wang, P Jiang
arXiv preprint arXiv:1901.07733, 2019
Deep learning inversion of electrical resistivity data
B Liu, Q Guo, S Li, B Liu, Y Ren, Y Pang, X Guo, L Liu, P Jiang
IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5715-5728, 2020
GPRInvNet: Deep learning-based ground-penetrating radar data inversion for tunnel linings
B Liu, Y Ren, H Liu, H Xu, Z Wang, AG Cohn, P Jiang
IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8305-8325, 2021
Deep-learning seismic full-waveform inversion for realistic structural models
B Liu, S Yang, Y Ren, X Xu, P Jiang, Y Chen
Geophysics 86 (1), R31-R44, 2021
A physics-based neural-network way to perform seismic full waveform inversion
Y Ren, X Xu, S Yang, L Nie, Y Chen
IEEE Access 8, 112266-112277, 2020
Building complex seismic velocity models for deep learning inversion
Y Ren, L Nie, S Yang, P Jiang, Y Chen
IEEE Access 9, 63767-63778, 2021
Reverse time migration of seismic forward-prospecting data in tunnels based on beamforming methods
S Li, Y Ren, L Liu, X Xu, B Liu, Q Zhang
Rock Mechanics and Rock Engineering 52, 3261-3278, 2019
Structural complexity‐guided predictive filtering
B Liu, C Fu, Y Ren, Q Zhang, X Xu, Y Chen
Geophysical Prospecting 68 (5), 1509-1522, 2020
Tunnel prospecting based on integrated interpretation of geophysical data: Xiangyun Tunnel, Yunnan Province, China
L Chen, F Zhang, Y Ren, X Xu, Z Yang, M Li
Journal of Environmental and Engineering Geophysics 24 (1), 63-75, 2019
Forward prediction for tunnel geology and classification of surrounding rock based on seismic wave velocity layered tomography
B Liu, J Wang, S Yang, X Xu, Y Ren
Journal of Rock Mechanics and Geotechnical Engineering 15 (1), 179-190, 2023
Seismic data inversion with acquisition adaptive convolutional neural network for geologic forward prospecting in tunnels
Y Ren, B Liu, S Yang, D Li, P Jiang
Geophysics 86 (5), R659-R670, 2021
Physics-driven self-supervised learning system for seismic velocity inversion
B Liu, P Jiang, Q Wang, Y Ren, S Yang, AG Cohn
Geophysics 88 (2), R145-R161, 2023
Prestack reverse time imaging in tunnels based on the decoupled nonconversion elastic-wave equation
Y Ren, Z Yang, B Liu, X Xu, Y Chen
Geophysics 85 (6), S371-S383, 2020
3C-3D tunnel seismic reverse time migration imaging: A case study of Pearl River Delta Water Resources Allocation Project
J Wang, S Yang, X Xu, P Jiang, Y Ren, C Du, S Du
Journal of Applied Geophysics 210, 104954, 2023
Well-log information-assisted high-resolution waveform inversion based on deep learning
S Yang, T Alkhalifah, Y Ren, B Liu, Y Li, P Jiang
IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023
Decoupled elastic least-squares reverse time migration and its application in tunnel geologic forward prospecting
B Liu, J Wang, Y Ren, X Guo, L Chen, L Liu
Geophysics 87 (1), EN1-EN19, 2022
Optimal staggered-grid finite-difference method for wave modeling based on artificial neural networks
X Guo, J Wang, S Yang, Y Ren
Computers & Mathematics with Applications 108, 141-158, 2022
Full waveform inversion based on inversion network reparameterized velocity
P Jiang, Q Wang, Y Ren, S Yang, N Li
Geophysical Prospecting 72 (Machine learning applications in geophysical …, 2023
Pre-stack elastic reverse time migration in tunnels based on cylindrical coordinates
Y Ren, J Wang, Z Yang, X Xu, L Chen
Journal of Rock Mechanics and Geotechnical Engineering 14 (6), 1933-1945, 2022
Deep learning inversion of seismic data in tunnels
B Liu, S Yang, X Xu, Y Ren, P Jiang*
SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020
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