Yazhuo WANG

Research

I am a geophysicist focused on the integration of seismology and computational intelligence. My research aims to leverage advanced data-driven techniques to solve complex problems in seismic monitoring, event detection, and Earth structure characterization.

By combining traditional geophysical principles with deep learning architectures, I work to improve the precision and automation of seismic signal processing, seeking to uncover deeper insights into earthquake mechanisms and geological processes.

Background

I earned my M.S. in Seismology from Nanjing University. Prior to that, I completed my B.S. in Exploration Technology and Engineering at Jilin University.

Research interests

• Seismology
• Deep Learning and Artificial Intelligence in Geophysics
• Seismic signal processing and automation

Selected publications

• Wang, Y. and Ruan, Y. (2025), Improving the Signal-to-Noise Ratio of Single-Channel Earthquake Data With an Attention-Based UNet3+ and Phase-Difference Mask, IEEE Transactions on Geoscience and Remote Sensing, 63, 5909510. https://doi.org/10.1109/TGRS.2025.3555661