activity
20242026
collaborators

12 papers

cs.CV2026

Damage-TriageFormer: A Foundation-Model Framework for Typology-Based Building Damage Assessment from Mono-Temporal Imagery

Yiming Xiao, Yu-Hsuan Ho, Sanjay Thasma +2

Decision-relevant building damage assessment is critical for prioritizing resources and recovery after a disaster, yet most automated methods either flatten damage into a single se…

cs.LG2026

Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models

Lipai Huang, Adithi Srinath, Manas Singh +2

Near-real-time flood depth prediction demands surrogate models that are accurate, fast, and transferable across watersheds. Supervised surrogates can match physics-based simulators…

cs.IR2026

DisastRAG: A Multi-Source Disaster Information Integration and Access System Based on Retrieval-Augmented Large Language Models

Bo Li, Zhitong Chen, Kai Yin +3

Effective disaster management requires rapid access to information distributed across structured operational records, unstructured institutional documents, and dynamic external sou…

cs.CL2026

DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management

Zhitong Chen, Kai Yin, Xiangjue Dong +7

Accurate question answering (QA) in disaster management requires reasoning over uncertain and conflicting information, a setting poorly captured by existing benchmarks built on cle…

cs.CE2025

A Parametric Framework for Anticipatory Flashflood Warning: Integrating Landscape Vulnerability with Precipitation Forecasts

Xiangpeng Li, Junwei Ma, Samuel D Brody +1

Flash flood warnings are largely reactive, providing limited advance notice for evacuation planning and resource prepositioning. This study presents and validates an anticipatory,…

cs.CY2025

Quantifying Functional Criticality of Lifelines Through Mobility-Derived Population-Facility Dependence for Human-Centered Resilience

Junwei Ma, Bo Li, Xiangpeng Li +2

Lifeline infrastructure underpins the continuity of daily life, yet conventional criticality assessments remain largely asset-centric, inferring importance from physical capacity o…