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
101 2022 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
Computer Methods in Applied Mechanics and Engineering 416, 116300, 2023
70 2023 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
53 2021 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
45 2023 Transmission+ reflection anisotropic wave‐equation traveltime and waveform inversion S Feng, GT Schuster
Geophysical Prospecting 67 (2), 423-442, 2019
43 2019 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
35 2021 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 (Machine learning applications in geophysical …, 2023
28 2023 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
27 2020 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 Machine learning applications in geophysical …, 2023
18 2023 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
17 2022 Multiscale phase inversion for vertical transverse isotropic media S Feng, L Fu, Z Feng, GT Schuster
Geophysical Prospecting 69 (8-9), 1634-1649, 2021
16 2021 The Kimberlina synthetic multiphysics dataset for CO2 monitoring investigations D Alumbaugh, E Gasperikova, D Crandall, M Commer, S Feng, W Harbert, ...
Geoscience Data Journal 11 (2), 216-234, 2024
13 2024 Review of physics-informed machine-learning inversion of geophysical data GT Schuster, Y Chen, S Feng
Geophysics 89 (6), T337-T356, 2024
12 2024 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
12 2021 S Feng, H Wang, C Deng, Y Feng, Y Liu, M Zhu, P Jin, Y Chen, Y Lin
Advances in Neural Information Processing Systems 36, 23701-23713, 2023
11 2023 Skeletonized wave-equation inversion in vertical symmetry axis media without too much math S Feng, GT Schuster
Interpretation 5 (3), SO21-SO30, 2017
11 2017 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
10 2021 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
9 2021 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
9 2018 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, 2-3, 2023
7 2023 
Youzuo LinAssociate Professor, University of North Carolina at Chapel HillGeverifieerd e-mailadres voor unc.edu