Zeyu Wang
Ph.D. Researcher (Urban Analytics, AI + Society) | Globetrotter
Hi, I'm Zeyu!
Dynamic researcher with 6+ years of experience leveraging spatiotemporal data and advanced analytical technologies to analyze and improve urban spaces and human movement.
Dedicated to enhancing quality of life and promoting social equity through innovative solutions.
Proven ability to collaborate within interdisciplinary teams, adopting cutting-edge tools to tackle complex challenges.
Passionate about connecting with diverse individuals, enriched by experiences from traveling to over 40 countries and 100+ cities worldwide.
Bio
I'm a third-year Ph.D. student inUrban Design & Planning Interdisciplinary Ph.D. Programat theUniversity of Washington. Prior to that, I worked in theUrban Analytics Labat theNational University of Singapore, where I received my M.U.P. degree in Urban Analytics.
My research integrates advanced artificial intelligence and machine learning techniques to develop data-driven solutions for urban systems. I am fortunate to be advised byDr. Don MacKenzie(UW), andDr. Filip Biljecki(NUS).
I enjoy hiking, traveling, photography and proud of being a fan of aviation and transit. I am always eager to explore new places and cultures.
For more updates and further information about my featured past/ongoing research, please visit the project page.
Recent Papers
"Does the café entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
arXiv 2025
Froehlich et al.
arXiv:2508.15752
RampNet: A two-stage pipeline for bootstrapping curb ramp detection in streetscape images
ICCV 2025
O'Meara et al.
ICCV 2025 Paper (PDF)
Physical urban change and its socio-environmental impact: Insights from street view imagery
CEUS 2025
Liu, Wang et al.
DOI: 10.1016/j.compenvurbsys.2025.102284
Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery
Cities 2024
Wang, Ito, Biljecki
DOI: 10.1016/j.cities.2023.104704
Global Streetscapes—A comprehensive dataset of 10 million street-level images
ISPRS 2024
Hou et al.
DOI: 10.1016/j.isprsjprs.2024.06.023
Urban Greenery Distribution and Its Link to Social Vulnerability
UFUG 2024
Liu, Gu, Wang, Anderson
DOI: 10.1016/j.ufug.2024.12854Conferences
- Speaker,The 4th ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, Minneapolis, MN: Street View for Whom?
- Poster,TRB 104th Annual Meeting, Washington DC: Examining Household and Travel Dynamics in Response to Urban Visual Diversity Using Street View Images
- Speaker,ACSP 2024 Annual Conference, Seattle, WA: Physical Urban Change and Its Socio-Environmental Impact: Insights from Street View Imagery
- Speaker,Metrolab Summit 2024, Washington DC: Using INRIX data to calibrate agent-based transportation models like POLARIS across multiple dimensions
- Speaker,International Association of China Planning 2024 Annual Conference, Hangzhou, China: Assessing Built Environment Perceptions in Urban Neighborhoods using Time-series Street View Imagery
