CV

Education

• B.S. in Information Engineering, China University of Geosciences, 2018
• Ph.D in Geographic Information Systems, Peking University, 2023

Skills

• Coding Languages
  • Python
  • Java
• Database
  • MySQL
  • PostgreSQL/PostGIS
• Web Development
  • Flask
  • FastAPI

Publications

High-Resolution Mapping of the Urban Built Environment Stocks in Beijing

Perceiving Beijing’s City Image Across Different Groups Based on Geotagged Social Media Data

Global Urban Subway Development, Construction Material Stocks, and Embodied Carbon Emissions

A BiLSTM-CNN Model for Predicting Users’ next Locations Based on Geotagged Social Media

A Novel Carbon Cycle Turbulence Index Identifies Environmental and Ecological Perturbations

Site Selection for Hybrid Offshore Wind and Wave Power Plants Using a Four-Stage Framework:A Case Study in Hainan, China

Identifying Spatiotemporal Characteristics and Driving Factors for Road Traffic CO2 Emissions

Spatial Calculation of Urban Built Environment Stock:Progress and Prospects

DouFu:A Double Fusion Joint Learning Method for Driving Trajectory Representation

GWRBoost:A Geographically Weighted Gradient Boosting Method for Explainable Quantification of Spatially-Varying Relationships

Evaluating the Human Use Efficiency of Urban Built Environment and Their Coordinated Development in a Spatially Refined Manner

High-Resolution Quantification of Building Stock Using Multi-Source Remote Sensing Imagery and Deep Learning

ConvGCN-RF:A Hybrid Learning Model for Commuting Flow Prediction Considering Geographical Semantics and Neighborhood Effects

Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China

Optimizing Segmented Trajectory Data Storage with HBase for Improved Spatio-Temporal Query Efficiency