2 citations · 3 across the 4 of their papers we have counts for
5 papers
Event-Centric Earthquake Monitoring with a Multi-Station Transformer
Haoyu Wang, Weiqiang Zhu
Earthquake catalogs underpin studies such as fault structure, earthquake processes and seismic hazard, and their value depends on being both complete and reliable. Machine learning…
VORA: Rapid Association of Earthquake Phases from Local to Global
Junhao Song, Weiqiang Zhu, Haoyu Wang +3
Earthquake phase association, which groups seismic phase arrivals into common origins, is a key step towards more complete and reliable seismicity catalogs. It has become a challen…
California Earthquake Dataset for Machine Learning and Cloud Computing
Weiqiang Zhu, Haoyu Wang, Bo Rong +7
The San Andreas Fault system, known for its frequent seismic activity, provides an extensive dataset for earthquake studies. The region's well-instrumented seismic networks have be…
Robust Earthquake Location using Random Sample Consensus (RANSAC)
Weiqiang Zhu, Bo Rong, Yaqi Jie +1
Accurate earthquake location, which determines the origin time and location of seismic events using phase arrival times or waveforms, is fundamental to earthquake monitoring. While…
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…