Ground roll attenuation using generative adversarial networks Y Yuan, X Si, Y Zheng Geophysics 85 (4), WA255-WA267, 2020 | 55 | 2020 |
Random noise attenuation based on residual learning of deep convolutional neural network X Si, Y Yuan SEG international exposition and annual meeting, SEG-2018-2985176, 2018 | 34 | 2018 |
Attenuation of random noise using denoising convolutional neural networks X Si, Y Yuan, T Si, S Gao Interpretation 7 (3), SE269–SE280, 2019 | 29 | 2019 |
Deep learning for efficient microseismic location using source migration‐based imaging Q Zhang, W Zhang, X Wu, J Zhang, W Kuang, X Si Journal of Geophysical Research: Solid Earth 127 (3), e2021JB022649, 2022 | 23 | 2022 |
Sensing prior constraints in deep neural networks for solving exploration geophysical problems X Wu, J Ma, X Si, Z Bi, J Yang, H Gao, D Xie, Z Guo, J Zhang Proceedings of the National Academy of Sciences 120 (23), e2219573120, 2023 | 18 | 2023 |
Ground roll attenuation based on conditional and cycle generative adversarial networks X Si*, Y Yuan, F Ping, Y Zheng, L Feng SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020 | 9 | 2020 |
Attenuation of linear noise based on denoising convolutional neural network with asymmetric convolution blocks Y Yuan, Y Zheng, X Si Exploration Geophysics 53 (5), 532-546, 2022 | 7 | 2022 |
The improved DnCNN for linear noise attenuation Y Zheng*, Y Yuan, X Si SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020 | 6 | 2020 |
Seismic Foundation Model (SFM): a new generation deep learning model in geophysics H Sheng, X Wu, X Si, J Li, S Zhang, X Duan arXiv preprint arXiv:2309.02791, 2023 | 4 | 2023 |
Ground roll attenuation with conditional generative adversarial networks X Si SEG International Exposition and Annual Meeting, D031S030R008, 2020 | 4 | 2020 |
An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring X Si, X Wu, Z Li, S Wang, J Zhu Communications Earth & Environment 5 (1), 22, 2024 | 3 | 2024 |
A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning S Wang, Z Cai, X Si, Y Cui Mathematical Geosciences 55 (2), 163-200, 2023 | 2 | 2023 |
Structural Augmentation in Seismic Data for Fault Prediction S Wang, X Si, Z Cai, Y Cui Applied Sciences 12 (19), 9796, 2022 | 2 | 2022 |
SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction X Si, X Wu, H Sheng, J Zhu, Z Li IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
Filling borehole image gaps with a partial convolution neural network L Jiang, X Si, X Wu Geophysics 89 (2), D89-D98, 2024 | | 2024 |