3 papers
cs.CV2026
Automated Quality Assessment of Geospatial Vector Data: A GeoAI Approach using Spatial Representation Learning
Hao Li, Chen Chu, Filip Biljecki +2
Geospatial vector data quality is a foundational research topic in GIS, yet classic rule-based quality assessment algorithms often struggle with diverse urban morphologies and mass…
cs.LG2026
From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models
Chen Chu, Bita Azarijoo, Li Xiong +2
Recent large language models (LLMs) often appear to exhibit spatial reasoning ability; however, this capability is largely \emph{symbolic}, arising from pattern matching over spati…
cs.CV2025
Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities
Chen Chu, Cyrus Shahabi
Spatial representation learning is essential for GeoAI applications such as urban analytics, enabling the encoding of shapes, locations, and spatial relationships (topological and…