Deep learning-based seismic velocity inversion, tunnel geological forward-prospecting, and other applications of deep learning in geophysical data.
 Senlin Yang, Zhengfang Wang, Jing Wang*, Anthony G. Cohn, Jiaqi Zhang, Peng Jiang, Qingmei Sui. Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network. Construction and Building Materials, 2022, Volume: 319, Page: 125658. DOI: 10.1016/j.conbuildmat.2021.125658.
 Bin Liu, Senlin Yang, Yuxiao Ren, Xinji Xu, Yangkang Chen, Peng Jiang*. Deep learning seismic full waveform inversion for realistic structural models. Geophysics, 2021, Volume: 86, Issue: 1, Page: R31-R44. DOI: 10.1190/geo2019-0435.1.
 Xu Guo, Jiansen Wang, Senlin Yang, Yuxiao Ren*. Optimal staggered-grid finite-difference method for wave modeling based on artificial neural networks. Computers & Mathematics with Applications, 2022, Volume: 108, Page: 141-158. DOI: 10.1016/j.camwa.2022.01.012.
 Yuxiao Ren, Xinji Xu*, Senlin Yang, Lichao Nie*, Yangkang Chen. A physics-based neural-network way to perform seismic full waveform inversion. IEEE Access, 2020, Volume: 8, Page: 112266-112277. DOI: 10.1109/ACCESS.2020.2997921.
2013 - 2017 BS, School of Control Science and Engineering, Shandong University, China
2017 - Present PhD, School of Qilu Transportation, Shandong University, China
Society of Exploration Geophysicists student member
Geotechnical and Structural Engineering Research Center, Shandong University;
School of Qilu Transportation, Shandong University