Li, Y., X. Wu*, Z. Zhu, J. Ding, and Q. Wang, 2024, FaultSeg3D plus: a comprehensive study on evaluating and improving CNN-based seismic fault segmentation, Geophysics, in press.
Si, X., X. Wu*, Z. Li*, S. Wang, and J. Zhu, 2024, An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring, Communications Earth & Environment, Vol. 5(22).
Si, X., X. Wu*, H. Sheng, J. Zhu, and Z. Li, 2024, SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction, IEEE TGRS, Vol. 62, pp. 1-13, Art no. 5903713, doi: 10.1109/TGRS.2024.3354456,
Jiang, L., X. Si, and X. Wu*, 2024, Filling borehole image gaps with partial convolution neural network. Geophysics, Vol. 89(2), D289–D98.
Wang, F.+, X. Wu*, H. Zeng, X. Janson, and C. Kerans, 2024, Stratal surfaces honoring seismic structures and interpreted geologic time surfaces. Geophysics, Vol. 89(2), N45–N57.
Wu, X., J. Ma*, S. Xu, Z. Bi, J. Yang, H. Gao, D. Xie, Z. Guo, and J. Zhang, 2023, Sensing prior constraints in deep neural networks for solving geophysical problems, PNAS, Vol. 120(23), e2219573120.
Bangs, N.*, J. Morgan, R. Bell, S. Han, R. Arai, S. Kodaira, A. Gase, X. Wu, et al., 2023, Slow slip along the Hikurangi margin linked to fluid-rich sediments trailing subducting seamounts, Nature Geoscience.
Jiang, E.+, R. Chen*, X. Wu*, J. Liu, D. Zhu, and W. Liu, 2023, Deep learning based sferics recognition for AMT data processing in the dead band, Geophysics, Vol. 88(5), B233–B250.
Gao, H., X. Wu*, J. Zhang, X. Sun, and Z. Bi, 2023, ClinoformNet-1.0: stratigraphic forward modeling and deep learning for seismic clinoform delineation. Geoscientific Model Development (GMD), Vol. 16(9), 2495–2513.
Yang, J., X. Wu*, Z. Bi, and Z. Geng, 2023, A multi-task learning method for relative geologic time, horizons, and faults with prior information and transformer. IEEE TGRS, vol. 61, pp. 1-20, Art no. 5907720, doi: 10.1109/TGRS.2023.3264593
Xue, Z. and X. Wu*, 2023, Automatic velocity analysis with physics-constrained optimal surface picking, Geophysics, Vol. 88(3), U71–U80.
Sheng, H., X. Wu*, X. Sun, and L. Wu, 2023, Deep learning for characterizing CO2 migration in time-lapse seismic images, Fuel, Vol. 336, 126806. https://doi.org/10.1016/j.fuel.2022.126806.
Li, J., , X. Wu*, Y. Ye, C. Yang, Z. Hu, X. Sun, and T. Zhao, 2023, Unsupervised contrastive learning for seismic facies characterization, Geophysics, Vol. 88(1), WA81–WA89.
Yu, Y., Y. Li, X. Wu, and X. Jia*, 2023, Enhancing one-way wave equation-based migration with deep learning. Geophysics, Vol. 88(1), WA105–WA114.
张文, 伍新明*，漆杰，2023，几何地震属性的快速算法实现，地球物理学报，66(8): 3374-3390.