Jinzhou Cao(曹劲舟)
Jinzhou Cao(曹劲舟)
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Guangdong General Program, Urban spatial representation and intelligent decision-making with multimodal deep features, RMB 100,000
Guangdong Basic and Applied Basic Research Foundation General Program
Teaching reform project, Curriculum reform for Data Science and Big Data Technology in application-oriented universities, RMB 20,000
University-level Teaching Reform Project
Shenzhen General Program, Multimodal representation learning for urban agglomeration monitoring and evaluation, RMB 300,000
Shenzhen Natural Science Foundation General Program
GEMLab Open Fund, City-flow dual-space representation learning for urban agglomerations, RMB 30,000
Open Fund of Key Laboratory of Guangdong-Hong Kong-Macao Greater Bay Area Geographical Environment Monitoring
Shenzhen Stable Support Project, Urban spatial profiling through imbalanced spatiotemporal data fusion, RMB 300,000
Shenzhen Natural Science Foundation Stable Support Project
China Postdoctoral Science Foundation, Research on multi-scalef prediction of urban functions based on big data
Type: China Postdoctoral Science Foundation, Research on multi-scalef prediction of urban functions based on big data PI: Jinzhou Cao(曹劲舟) Grant number: 2020M672803 Year: 2020.06 -2021.12 Time: RMB 80,000
National Natural Science of China and Foundation of China Youth Science Fund Projects, Study on the multi-scaled identification of urban dynamic functions based on mobile phone big data
Type: National Natural Science of China and Foundation of China Youth Science Fund Projects PI: Jinzhou Cao(曹劲舟) Grant number: 42001393 Year: 2021.01 -2023.12 Time: RMB 300,000 The layout of urban functions is an important indicator of urban planning and development.
Open Fund of Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources
Instructor: Open Fund of Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources PI: Jinzhou Cao(曹劲舟) Grant number: 2020NGCMZD02 Year: 2021.11 -2022.12 Time: RMB 100,000
Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources,基于多源时空轨迹大数据的城市出行模式与空间结构适配性评估
National Natural Science Foundation of China (NSFC)
Shenzhen Postdoctoral Research Subsidy Project
Type: Shenzhen Postdoctoral Research Subsidy Project PI: Jinzhou Cao(曹劲舟) Grant number: 20231063010033 Year: 2021.09 -2023.09 Time: RMB 300,000
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