Xiaojie Yang
Scholar

Xiaojie Yang

Google Scholar ID: Eap1w88AAAAJ
The University of Tokyo
Human mobilityCausal InferenceDeep Learning
Citations & Impact
All-time
Citations
36
 
H-index
2
 
i10-index
1
 
Publications
8
 
Co-authors
6
list available
Resume (English only)
Background
  • Specializes in Spatial Information Science with Deep Learning, leveraging big data for innovative applications
  • Academic background in Geographic Information Science, aiming to integrate advanced computer science technologies to enhance spatial research capabilities
  • Ph.D. thesis focuses on causality analysis using spatio-temporal data
  • Currently exploring the potential of large language models (LLMs) to empower urban computing in scenarios such as trajectory generation and geo-related fake information detection
  • Research interests: urban computing, causal inference, LLMs, human mobility prediction