3 papers
cs.SI2026
Bridging the Urban Divide: Adaptive Cross-City Learning for Disaster Sentiment Understanding
Zihui Ma, Yiheng Chen, Runlong Yu +5
Social media platforms provide a real-time lens into public sentiment during natural disasters; however, models built solely on textual data often reinforce urban-centric biases an…
cs.CL2025
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
Zihui Ma, Lingyao Li, Juan Li +4
Rapid, fine-grained disaster damage assessment is essential for effective emergency response, yet remains challenging due to limited ground sensors and delays in official reporting…
cs.CE2025
RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation
Benjamin Tarver, Noelle Law, Sasha Getz +1
Building-level exposure data are critical to natural hazard risk modeling, yet most global inventories describe where buildings are located rather than what they are made of. Roof…