15 citations · 24 across the 10 of their papers we have counts for
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physics.geo-ph2023
SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction
Xu Si, Xinming Wu, Hanlin Sheng +2
Training specific deep learning models for particular tasks is common across various domains within seismology. However, this approach encounters two limitations: inadequate labele…
physics.geo-ph2023★ 15 cited
Seismic Foundation Model (SFM): a new generation deep learning model in geophysics
Hanlin Sheng, Xinming Wu, Xu Si +3
While computer science has seen remarkable advancements in foundation models, which remain underexplored in geoscience. Addressing this gap, we introduce a workflow to develop geop…
physics.geo-ph2023★ 1 cited
Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN)
Xu Si, Xinming Wu, Zefeng Li +2
Earthquake monitoring is vital for understanding the physics of earthquakes and assessing seismic hazards. A standard monitoring workflow includes the interrelated and interdepende…