Research Directions

Urban spatiotemporal data sensing and representation

Urban Spatiotemporal Sensing

Integrating streetscape, remote sensing, trajectory, POI, and statistical data to represent urban structure, functional semantics, and dynamic change.

  • Multi-source fusion
  • Urban representation
  • Dynamic function sensing
Multimodal urban foundation models and applications

Multimodal Urban Foundation Models

Developing multimodal alignment, contrastive learning, generative models, and urban foundation models for understanding, prediction, simulation, and decision support.

  • Multimodal alignment
  • Urban foundation models
  • Generation and prediction
Geospatial intelligence and social computing

Geo-AI And Social Computing

Combining Geo-AI, social sensing, spatial statistics, and knowledge reasoning to analyze human-place interactions, spatial equity, and governance decisions.

  • Geo-AI methods
  • Social sensing
  • Spatial decision-making
Human mobility and travel behavior analytics

Human Mobility Analytics

Analyzing mobility patterns, activity networks, and urban flows from mobile phone, transport, location-based service, and urban activity data.

  • Trajectory mining
  • Travel behavior
  • Urban flows

Projects

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All PI Particiapted Completed Ongoing
Guangdong General Program, Urban spatial representation and intelligent decision-making with multimodal deep features, RMB 100,000
Teaching reform project, Curriculum reform for Data Science and Big Data Technology in application-oriented universities, RMB 20,000
Shenzhen General Program, Multimodal representation learning for urban agglomeration monitoring and evaluation, RMB 300,000
GEMLab Open Fund, City-flow dual-space representation learning for urban agglomerations, RMB 30,000
Shenzhen Stable Support Project, Urban spatial profiling through imbalanced spatiotemporal data fusion, RMB 300,000
China Postdoctoral Science Foundation, Research on multi-scalef prediction of urban functions based on big data
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
Open Fund of Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources
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
Shenzhen Postdoctoral Research Subsidy Project
Study on the multi-scaled identification of urban dynamic functions based on mobile phone big data
Study on the multi-scaled identification of urban dynamic functions based on mobile phone big data
Study on the multi-scaled identification of urban dynamic functions based on mobile phone big data
SIMETRI