Educational Experience:
2011.9 - 2015.6: University of Science and Technology of China, Geophysics, Bachelor's Degree
2015.9 - 2021.6: Institute of Geology and Geophysics, Chinese Academy of Sciences, Geophysics, PhD
2019.12 - 2021.3: Cranfield University, UK, Interdisciplinary, Joint Training

Work Experience:
2021.7 - 2023.12: Institute of Geology and Geophysics, Chinese Academy of Sciences, Postdoctoral Fellow
2023.12 - Present: Institute of Geology and Geophysics, Chinese Academy of Sciences, Senior Engineer

1. Geoscience Large Model
2. Generative Large Model of Oil and Gas

Host projects

1. Horizontal project: Inversion of well logging curves based on Transformer intelligent model.

Participate in projects

1. Key independent research topics of the Lithosphere: Research on carbon dioxide storage mechanism and site selection evaluation.
2. National Natural Science Foundation of China special project: Research on comprehensive prediction of phase permeability curve based on deep learning.

1. Shan, X., Chen, Z., Fu, B., Zhang, W., Li, J., & Wu, K. (2023). Predicting TOC from Well Logs Based on Deep Spatial-Sequential Graph Convolutional Network. Geophysics, 88(3), 1-64.
2. Shan, X., Cao, J., Huo, S., Chen, L., Sarrigiannis, P. G., & Zhao, Y. (2022). Spatial–temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram. Human Brain Mapping.
3. Shan, X., Huo, S., Yang, L., Cao, J., Zou, J., Chen, L., ... & Zhao, Y. (2021). A Revised Hilbert-Huang Transformation to Track Non-stationary Association of Electroencephalography Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
4. Shan, X., Tian, F., Cheng, F., Yang, C., & Xin, W. (2019). Spectral Decomposition and a Waveform Cluster to Characterize Strongly Heterogeneous Paleokarst Reservoirs in the Tarim Basin, China. Water, 11(2), 256.
5. Zhang, W., Shan, X.*, Fu, B., Zou, X., & Fu, L. Y. (2022). A deep encoder-decoder neural network model for total organic carbon content prediction from well logs. Journal of Asian Earth Sciences, 240, 105437.
6. Yang, L., Shan, X., Lv, C., Brighton, J., & Zhao, Y. (2021). Learning spatio-temporal representations with a dual-stream 3D residual network for non-driving activity recognition. IEEE Transactions on Industrial Electronics.
7. Lv, Y., Shan, X., Huo, S., Yang,C. 2020. Local SNR estimation of seismic data based on deep convolutional neural network. Chinese Journal of Geophysics (in Chinese), 63(1): 320-328, doi: 10.6038/cjg2020N0058
8. Cao, J., Zhao, Y., Shan, X., Blackburn, D., Wei, J., Erkoyuncu, J. A., ... & Sarrigiannis, P. G. (2022). Ultra high-resolution time-frequency analysis of EEG to characterise brain functional connectivity with the application in Alzheimer's disease. Journal of Neural Engineering.
9. Cao, J., Zhao, Y., Shan, X., Wei, H. L., Guo, Y., Chen, L., ... & Sarrigiannis, P. G. (2022). Brain functional and effective connectivity based on electroencephalography recordings: A review. Human Brain Mapping, 43(2), 860-879.
10. Xin, W., Tian, F., Shan, X., Zhou, Y., Rong, H., & Yang, C. (2020). Application of Geologically Constrained Machine Learning Method in Characterizing Paleokarst Reservoirs of Tarim Basin, China. Water, 12(6), 1765.
11. Marsot, M., Mei, J., Shan, X., Ye, L., Feng, P., Yan, X., ... & Zhao, Y. (2020). An adaptive pig face recognition approach using Convolutional Neural Networks. Computers and Electronics in Agriculture, 173, 105386.
12. Cao, J., Grajcar, K., Shan, X., Zhao, Y., Zou, J., Chen, L., ... & Sarrigiannis, P. G. (2021). Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity. Biomedical Signal Processing and Control, 67, 102554.