96 citations · 99 across the 3 of their papers we have counts for
3 papers
physics.geo-ph2025★ 3 cited
Towards End-to-End Earthquake Monitoring Using a Multitask Deep Learning Model
Weiqiang Zhu, Junhao Song, Haoyu Wang +1
Seismic waveforms contain rich information about earthquake processes, making effective data analysis crucial for earthquake monitoring, source characterization, and seismic hazard…
physics.geo-ph2024
QuakeFormer: A Uniform Approach to Earthquake Ground Motion Prediction Using Masked Transformers
Yitian Feng, Weiqiang Zhu, Xinzheng Lu
Ground motion prediction (GMP) models are critical for hazard reduction before, during and after destructive earthquakes. In these three stages, intensity forecasting, early warnin…
physics.geo-ph2022★ 96 cited
QuakeFlow: A Scalable Machine-learning-based Earthquake Monitoring Workflow with Cloud Computing
Weiqiang Zhu, Alvin Brian Hou, Robert Yang +4
Earthquake monitoring workflows are designed to detect earthquake signals and to determine source characteristics from continuous waveform data. Recent developments in deep learnin…