Ph.D. student in Geographic Information Systems at Texas A&M University, advised by Prof. Lei Zou in the TAMU GEAR Lab.
I am an interdisciplinary researcher building GeoAI methods for urban science, human-environment interaction, and 3D urban analytics. My work connects street view imagery, remote sensing, 3D city models, and multimodal large language models to make urban environments more measurable, interpretable, and actionable.
Before joining Texas A&M, I earned my M.S. in Spatial Data Science at the University of Southern California and worked as a Research Assistant at HKUST(GZ) AI4City Lab, Harvard Spatial Data Lab, and The Hong Kong Polytechnic University.
I am open to collaboration on GeoAI, spatial analysis, urban perception, street-view intelligence, remote sensing, and 3D urban space.
- GeoAI and spatial intelligence
- Urban science and human-environment interaction
- Street view imagery and urban perception
- Remote sensing and multimodal learning
- 3D city models, mesh models, and digital twins
- AI agents for research, applications, and geospatial workflows
| Project | Paper / Venue | What it does |
|---|---|---|
| GeoIdentity-Sat2Street | ISPRS JPRS 2026 | Generates geographically faithful street-view imagery from satellite imagery. |
| BuildingMultiView | JAG 2026 | Extracts 11 multi-scale building characteristics from satellite and street-view imagery. |
| BuildingView | SpatialDI 2025 / LNCS | Constructs urban building exterior databases from Google Street View and multimodal LLMs. |
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AutoApplyClaw
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AAG 125th Anniversary Globe
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Auto-Eco
Automated econometrics paper-writing pipeline for literature review, causal identification, empirical analysis, and LaTeX compilation.
Python | PyTorch | GeoPandas | Shapely | Rasterio | PostGIS | Google Earth Engine | OpenStreetMap | Mapbox | ArcGIS Pro | QGIS | React | FastAPI | Three.js | LLM Agents