Wenrui Xu

GIS; remote sensing; human-centered geospatial data science & AI; urban planning & design; machine learning; multimodal LLM.

I am a first-year PhD student working with Dr. Lu Liang in the Geospatial 3M Lab. I mainly use GIS, remote sensing, and geospatial AI to understand human-environment interaction from global to urban scale to support planning and design for well-being and sustainable cities. To study this topic, I utilize large-scale and high-resolution urban sensing data and techniques such as LiDAR, street view, GPS, and social media.

Xu, Wenrui, & Gu, X. (2025). Spatiotemporal impacts of purpose-specific human mobility on air pollution: Evidence from taxi trajectories and interpretable machine learning. Sustainable Cities and Society, 126, 106411.

Gu, X., Xu, Wenrui, & Liu, X. (2025). City centers really lived up to the hype? Evidence from human perceptions of over 4000 communities in China. Cities, 166, 106278.

Xu, Wenrui., Lyu, D., Wang, W., Feng, J., Gao, C., & Li, Y. (2025). Defining and evaluating visual language models’ basic spatial abilities: A perspective from psychometrics. ACL Main (Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics) (volume 1: Long Papers) (pp. 11571–11590).