- Ph.D., 2017-2023
- 毕业去向: Postdoc at Lawrence Berkeley National Lab.
- GitHub: zfbi
- Email: zfbi@mail.ustc.edu.cn
- Undergraduate: Geophysics, CUG (Beijing), 2013-2017.
- Experience: Cloud Computing Engineer, Summer Intern, Huawei, 2020.
- Research: inversion-based fault surface construction; deep learning for relative geologic time estimation, seismic inversion, and marine data interpretation.
Publication
12. X. Wu, 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, Vol. 120(23), e2219573120.11. Sun, X., Z. Bi, X. Wu*, Y. Ye, C. Yang, and H. Meng, 2022, Seismic facies identification based on few-shot learning with the constraints of seismic horizons. Geophysics, submitted.
10. Yang, J., X. Wu*, Z. Bi, and Z. Geng, 2022, 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. [PDF].
09. Gao, H., X. Wu*, J. Zhang, X. Sun, and Z. Bi, 2022, ClinoformNet: stratigraphic forward modeling and deep learning for seismic clinoform delineation. Geoscientific Model Development (GMD), Vol. 16(9), 2495–2513. [PDF]. [FIG].
08. Bi, Z., X. Wu*, Z. Li, D. Chang, and X. Yong, 2022, DeepISMNET: 3D Implicit structural modeling with convolutional neural network. Geoscientific Model Development (GMD), Vol. 15, 6841–6861. [PDF]. [FIG].
07. 毕钲发，刘杨，伍新明*，吴丽丽，2022， 基于深度学习的海底线缆大规模快速普查. 地球物理学报，in press.
06. Bi, Z., X. Wu*, S. Yan, S. Zhang, and H. Si, 2021, Geologic time based interpolation of borehole data for building high-resolution models. Geophysics, Vol. 87(3), IM67–IM80.
05. Bi, Z., X. Wu*, Geng, Z., and Li, H., 2021, Deep relative geologic time: a deep learning method for simultaneously interpreting 3D seismic horizons and faults. JGR, Solid Earth, Vol. 126 (9), 1-24, http://dx.doi.org/10.1029/2021JB021882.
04. Wu, X.*, S. Yan, Z. Bi, S. Zhang, and H. Si, 2021, Deep learning for multi-dimensional seismic impedance inversion. Geophysics, Vol. 86(5), R735–R745.
03. Bi, Z. and X. Wu*, 2021, Improving fault surface construction with inversion-based methods. Geophysics, Vol. 86(1), IM1–IM14.
02. Bi, Z., Geng, Z., Gao, H. and Wu, X., 2020, 3D relative geologic time estimation with deep learning, 90th Annual Meeting of the Society of Exploration Geophysics , Expanded Abstracts.
01. Bi, Z., Zhang, J., and Sun, M., 2018, The first-arrival traveltime tomography with simultaneous sources, 88th Annual Meeting of the Society of Exploration Geophysics , Expanded Abstracts.
Miniposter
