RAMEN: Region-Adaptive Mixture of Ego-Networks for Multimodal Geospatial Fusion in Urban Region Representation
Abstract
RAMEN proposes a region-adaptive mixture of ego-networks for multimodal geospatial fusion in urban region representation.
Type
Publication
Mathematics
Jinzhou Cao(曹劲舟)
Associate Professor
My research focuses on spatiotemporal big data mining, urban computing, Geo-AI, and multimodal urban foundation models.