Predicting the locations of missing persons in China by using NGO data and deep learning techniques.

Integrating a deep forest algorithm with vector-based cellular automata for urban land change simulation.

Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data.

Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning.

The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types.