A Principal Component Analysis (PCA)-based framework for automated variable selection in geodemographic classification. - Yunzhe Liu 001; Alex Singleton 001; Daniel Arribas-Bel (Geo spatial Inf. Sci., 2019)

Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City. - Yunzhe Liu 001; Alex Singleton 001; Daniel Arribas-Bel; Meixu Chen (Comput. Environ. Urban Syst., 2021)

Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. - Thomas Fisher; Harry Gibson; Yunzhe Liu 001; Moloud Abdar; Marius Posa; Gholamreza Salimi-Khorshidi; Abdelaali Hassaïne; Yutong Cai; Kazem Rahimi; Mohammad Mamouei (Remote. Sens., 2022)