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Shihang Feng
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Cited by
Year
Transmission+ reflection anisotropic wave‐equation traveltime and waveform inversion
S Feng, GT Schuster
Geophysical Prospecting 67 (2), 423-442, 2019
392019
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
C Deng, S Feng, H Wang, X Zhang, P Jin, Y Feng, Q Zeng, Y Chen, Y Lin
Advances in Neural Information Processing Systems 35, 6007-6020, 2022
38*2022
Multiscale data-driven seismic full-waveform inversion with field data study
S Feng, Y Lin, B Wohlberg
IEEE transactions on geoscience and remote sensing 60, 1-14, 2021
272021
InversionNet3D: Efficient and scalable learning for 3-D full-waveform inversion
Q Zeng, S Feng, B Wohlberg, Y Lin
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
212021
Multiscale reflection phase inversion with migration deconvolution
Y Chen, Z Feng, L Fu, A AlTheyab, S Feng, G Schuster
Geophysics 85 (1), R55-R73, 2020
202020
Real‐time deep‐learning inversion of seismic full waveform data for CO2 saturation and uncertainty in geological carbon storage monitoring
ES Um, D Alumbaugh, Y Lin, S Feng
Geophysical Prospecting 72 (1), 199-212, 2024
152024
Solving seismic wave equations on variable velocity models with fourier neural operator
B Li, H Wang, S Feng, X Yang, Y Lin
IEEE Transactions on Geoscience and Remote Sensing 61, 1-18, 2023
152023
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
M Zhu, S Feng, Y Lin, L Lu
arXiv preprint arXiv:2305.17289, 2023
132023
Multiscale phase inversion for vertical transverse isotropic media
S Feng, L Fu, Z Feng, GT Schuster
Geophysical Prospecting 69 (8-9), 1634-1649, 2021
132021
Development of a multi-scale synthetic data set for the testing of subsurface CO2 storage monitoring strategies
D Alumbaugh, M Commer, D Crandall, E Gasperikova, S Feng, W Harbert, ...
AGU Fall Meeting Abstracts 2021, S25A-0212, 2021
112021
Skeletonized wave-equation inversion in vertical symmetry axis media without too much math
S Feng, GT Schuster
Interpretation 5 (3), SO21-SO30, 2017
112017
Deep learning multiphysics network for imaging CO2 saturation and estimating uncertainty in geological carbon storage
ES Um, D Alumbaugh, M Commer, S Feng, E Gasperikova, Y Li, Y Lin, ...
Geophysical Prospecting 72 (1), 183-198, 2024
102024
An intriguing property of geophysics inversion
Y Feng, Y Chen, S Feng, P Jin, Z Liu, Y Lin
International Conference on Machine Learning, 6434-6446, 2022
92022
Auto-windowed super-virtual interferometry via machine learning: A strategy of first-arrival traveltime automatic picking for noisy seismic data
K Lu, S Feng
SEG 2018 Workshop: SEG Maximizing Asset Value Through Artificial …, 2018
82018
Connect the Dots: In Situ 4-D Seismic Monitoring of CO₂ Storage With Spatio-Temporal CNNs
S Feng, X Zhang, B Wohlberg, NP Symons, Y Lin
IEEE Transactions on Geoscience and Remote Sensing, 2021
72021
Physically realistic training data construction for data-driven full-waveform inversion and traveltime tomography
S Feng, Y Lin, B Wohlberg
SEG International Exposition and Annual Meeting, D031S068R003, 2020
72020
CycleFCN: A physics-informed data-driven seismic waveform inversion method
P Jin, S Feng, Y Lin, B Wohlberg, D Moulton, E Cromwell, X Chen
SEG Technical Program Expanded Abstracts 2020, 3867-3871, 2020
72020
Anisotropic wave-equation traveltime and waveform inversion
S Feng, G Schuster
SEG International Exposition and Annual Meeting, SEG-2016-13818024, 2016
72016
Superpixel-based convolutional neural network for georeferencing the drone images
S Feng, L Passone, GT Schuster
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
62021
Simplifying Full Waveform Inversion via Domain-Independent Self-Supervised Learning
Y Feng, Y Chen, P Jin, S Feng, Z Liu, Y Lin
arXiv preprint arXiv:2305.13314, 2023
42023
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