Xu Si

司旭

Postdoc of Geophysics

School of Earth and Atmospheric Sciences
Georgia Institute of Technology
ES&T Building, Rm. 2128
311 Ferst Drive, Atlanta, GA

Email: xsi at gatech dot edu

Biography [CV]

I am a Postdoctoral Researcher at GT, supervised by Prof. Zhigang Peng. Recently, I got my Ph.D degree at The University of Science and Technology of China, supervised by Prof. Xinming Wu and cooperated with Prof. Zefeng Li . Before that, I received the M.Sc degree of Geophysics at CUGB in 2020 and B. Eng degree of Geophysics at China University of Geosciences in 2017.

My research lies at Geophysical application using Graph Neural Network(GNN), Foundation Model and Convolutional Neural Network(CNN).

News

[06/2024] Congratulations! I finished my Ph.D at USTC! Time to start as a postdoc at Georgia Institute of Technology.
[01/2024] Congratulations! One paper about earthquake monitoring was published on Communications Earth & Environment.
[01/2024] Congratulations! One paper about Seismology Foundation model was published on IEEE TGRS.

Selected Publications [Google Scholar]

	An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring. Xu Si, Xinming Wu, Zefeng Li, Shenghou Wang, Jun Zhu. Commun Earth Environ (CEE), 5(22), 2024. [paper][code]
	SeisCLIP: A seismology foundation model pre-trained by multimodal data for multipurpose seismic feature extraction. Xu Si, Xinming Wu, Hanlin Sheng, Jun Zhu, Zefeng Li. IEEE TGRS*, 62, 2024. [paper][code]
	Filling borehole image gaps with partial convolution neural network.. Lei Jiang, Xu Si, Xinming Wu. Geophysics*, 89(2), 2024. [paper]
	Seismic Foundation Model (SFM): a new generation deep learning model in geophysics. Hanlin Sheng, Xinming Wu, Xu Si*, Jintao Li, Sibo Zhang, Xudong Duan. arxiv:2309.02791. [paper]
	Sensing prior constraints in deep neural networks for solving exploration geophysical problems. Xinming Wu, jianwei Ma, Xu Si, Zhengfa Bi, Jiarun Yang, Hui Gao, Dongzi Xie, Zhixiang Guo, Jie Zhang. Proceedings of the National Academy of Sciences (PNAS), 120(23), 2023. [paper]
	Structural Augmentation in Seismic Data for Fault Prediction. Shenghou Wang, Xu Si, Zhongxian Cai, Yatong Cui Applied Sciences, 2022. ( Corresponding author) [paper][code]
	A three-dimensional geological structure modeling framework and its application in machine learning. Shenghou Wang, Zhongxian Cai, Xu Si, Yatong Cui Mathematical Geosciences*, 2022. [paper][code]
	Ground roll attenuation using generative adversarial networks. Yijun Yuan, Xu Si, Yue Zheng. Geophysics* , 2020. [paper]
	Attenuation of random noise using denoising convolutional neural networks. Xu Si, Yijun Yuan, Tinghua Si, Shiwen Gao. Interpretation*, 2019. [paper]

Experience

Anhui Earthquake Agency, Hefei, Anhui, China

Jul. 2020 – Aug. 2020

Research Intern
Topic: Earthquake Classification

Honors & Awards

Best Student presentation (1st) of "The 4th Workshop on Artificial Intelligence in Seismology", 2023

Best Student presentation (1st) of "Boao Disaster Prevention and Mitigation Conference", 2023

Outstanding Graduates of CUGB, 2020

National Scholarship in China, 2019

Best Student Poster of SEG IWMG Workshop, 2019

Teaching

2021-2022	Fall	GEPH6401P.01 Artificial Intelligence in Geosciences (Master)
2021-2022	Fall	ESS1502 Artificial Intelligence in Geosciences
2020-2021	Fall	ESS1502 Artificial Intelligence in Geosciences (Header TA)