Shenzhen General Program, Multimodal representation learning for urban agglomeration monitoring and evaluation, RMB 300,000
Type: Shenzhen Natural Science Foundation General Program
PI: Jinzhou Cao(曹劲舟)
Grant No.: JCYJ20240813113300001
Period: 2024.11-2027.11
Funding: RMB 300,000
Status: Ongoing
The project develops transferable and interpretable multimodal representation learning methods for comprehensive monitoring and evaluation of urban agglomerations.
Jinzhou Cao(曹劲舟)
Associate Professor
My research focuses on spatiotemporal big data mining, urban computing, Geo-AI, and multimodal urban foundation models.