3 citations · 6 across the 7 of their papers we have counts for
7 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…
Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models
Chenguang Wang, Davis Engler, Xuechun Li +4
When a damaging earthquake occurs, immediate information about casualties is critical for time-sensitive decision-making by emergency response and aid agencies in the first hours a…
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery
Chenguang Wang, Yepeng Liu, Xiaojian Zhang +6
Timely and accurate assessment of hurricane-induced building damage is crucial for effective post-hurricane response and recovery efforts. Recently, remote sensing technologies pro…
Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery
Xuechun Li, Paula M. Burgi, Wei Ma +3
Onsite disasters like earthquakes can trigger cascading hazards and impacts, such as landslides and infrastructure damage, leading to catastrophic losses; thus, rapid and accurate…