| 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 | 41* | 2022 |
| Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop P Jin, X Zhang, Y Chen, SX Huang, Z Liu, Y Lin arXiv preprint arXiv:2110.07584, 2021 | 27 | 2021 |
| 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 | 9 | 2022 |
| 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 | 7 | 2020 |
| Synthetic augmentation with large-scale unconditional pre-training J Ye, H Ni, P Jin, SX Huang, Y Xue International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| 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 | 4 | 2023 |
| Exploring multi-physics with extremely weak supervision S Feng, P Jin, Y Chen, X Zhang, Z Liu, Y Lin arXiv preprint arXiv:2202.01770, 2022 | 3 | 2022 |
| EFWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. S Feng, H Wang, C Deng, Y Feng, Y Liu, M Zhu, P Jin, Y Chen, Y Lin CoRR, 2023 | 2 | 2023 |
| Does Full Waveform Inversion Benefit from Big Data? P Jin, Y Feng, S Feng, H Wang, Y Chen, B Consolvo, Z Liu, Y Lin arXiv preprint arXiv:2307.15388, 2023 | 2 | 2023 |
| : Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties 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, 2024 | 1 | 2024 |
| Extremely weak supervision inversion of multiphysical properties S Feng, P Jin, X Zhang, Y Chen, D Alumbaugh, M Commer, Y Lin Second International Meeting for Applied Geoscience & Energy, 1785-1789, 2022 | 1 | 2022 |
| OpenFWI 2.0: Benchmark Datasets for Elastic Full-waveform Inversion S Feng, H Wang, C Deng, Y Feng, M Zhu, P Jin, Y Chen, Y Lin SEG International Exposition and Annual Meeting, SEG-2023-3896358, 2023 | | 2023 |
| OpenFWI 2.0: Benchmark datasets for elastic full-waveform inversion H Wang, Y Lin, S Feng, Y Feng, C Deng, M Zhu, P Jin, Y Chen Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | | 2023 |
| An Open-source Platform to Facilitate Data-driven FWI Research S Feng, C Deng, H Wang, X Zhang, Q Zeng, P Jin, Y Feng, Y Lin, Y Chen AGU Fall Meeting Abstracts 2022, NS35B-0387, 2022 | | 2022 |
| Weakly Supervised Inversion of Multi-physics Data for Geophysical Properties S Feng, P Jin, Y Chen, X Zhang, Z Liu, D Alumbaugh, M Commer, Y Lin ICML 2022 2nd AI for Science Workshop, 2022 | | 2022 |
Youzuo LinStaff Scientist at Los Alamos National LaboratoryVerified email at lanl.gov
