2021-present

Ph.D. candidate

GitHub: not available

Email: jryang@mail.ustc.tsg211.com

Master: Geophysics, CUP (Beijing), 2018-2021.

Undergraduate: Geophysics, Chengdu University of Technology, 2014-2018.

Research: deep learning for seismic interpretation of horizons, faults, karst caves, channels, and so on

Publication

6. Yang, J., X. Wu*, and G. Wang, 2024, A multi-class training dataset and hybrid neural network for simultaneous karst and channel detection, submitted.

5. 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. [PDF]. [FIG].

4. 伍新明, 杨家润, 朱振宇, 丁继才, 王清振, 2022, 计算地震构造解释与建模的实现讨论. 石油物探，Vol. 87(3), 392-407. [PDF]
Wu, X.*, J. Yang, Z. Zhu, J. Ding, and Q. Wang, 2022, Discussions on computational seismic structural interpretation and modeling. Geophysical Prospecting for Petroleum, Vol. 87(3), 392-407.

3. Yang, J., S. Chen, W. Yang, Y. Li, and J. Wei, 2021, Karst cave detection using physical model data sets and deep learning. EAGE, 2021(1): 1-5.

2. 杨午阳., 杨佳润, 陈双全, 匡丽琴, 王恩利, 以及周春雷, 2021, 基于U-Net深度学习网络的地震数据断层检测. 石油地球物理勘探, 2021, 56(04), 688-697, DOI:10.13810/j.cnki.issn.1000-7210.2021.04.002.

1. Yang, J., and S. Chen, 2020, U-Net with residual module applied to fault detection. SPG&SEG, 4: 1023-1026.

Miniposter

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