1 citations · 1 across the 3 of their papers we have counts for
4 papers
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference
Xuechun Li, Shan Gao, Susu Xu
Complex systems with intricate causal dependencies challenge accurate prediction. Effective modeling requires precise physical process representation, integration of interdependent…
Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
Xuechun Li, Shan Gao, Runyu Gao +1
Post-earthquake hazard and impact estimation are critical for effective disaster response, yet current approaches face significant limitations. Traditional models employ fixed para…
Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference
Xuechun Li, Susu Xu
Interferometric Synthetic Aperture Radar (InSAR) technology uses satellite radar to detect surface deformation patterns and monitor earthquake impacts on buildings. While vital for…
Spatial-variant causal Bayesian inference for rapid seismic ground failures and impacts estimation
Xuechun Li, Susu Xu
Rapid and accurate estimation of post-earthquake ground failures and building damage is critical for effective post-disaster responses. Progression in remote sensing technologies h…