GEMLab Open Fund, City-flow dual-space representation learning for urban agglomerations, RMB 30,000
Type: Open Fund of the Ministry of Natural Resources Key Laboratory
PI: Jinzhou Cao(曹劲舟)
Grant No.: GEMLab-2023016
Period: 2023.12-2025.10
Funding: RMB 30,000
Status: Ongoing
Using the Guangdong-Hong Kong-Macao Greater Bay Area as a study case, this project studies city-flow dual-space representation learning for urban agglomeration functional connections, collaborative monitoring, and spatial decision-making.
Jinzhou Cao(曹劲舟)
Associate Professor
My research focuses on spatiotemporal big data mining, urban computing, Geo-AI, and multimodal urban foundation models.