Tianyuan Huang
Email: tianyuah [at] stanford [dot] edu
Hi, I’m Tianyuan Huang (黄天元), a Software Engineer at Waymo on the Perception Scene Understanding team, contributing to the Waymo onboard driver. I received my Ph.D from Stanford University, co-advised by Ram Rajagopal (Electrical Engineering/Civil Engineering) and Jackelyn Hwang (Sociology). Before coming to Stanford, I obtained my B.Eng. degree from South China University of Technology studying Urban Planning and Computer Science.
My research uses multimodal learning to extract societal signals from large-scale spatial-temporal data: street-level imagery, satellite observations, and textual sources that capture how built environments change over time. The goal is to make visible what was previously unmeasurable at scale, and turn those observations into findings that matter for the people and policies they touch.
News
| Dec 03 2025 | Our paper Built environment disparities are amplified during extreme weather recovery was published in Nature and featured on Stanford Report. |
|---|---|
| Mar 12 2024 | Our paper CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series was featured on Stanford HAI. |
| Oct 23 2023 | Our paper Detecting Neighborhood Gentrification with Street-level Visual Data project was featured on San Francisco Chronicle and KCBS Radio. |
| Sep 01 2023 | I was awarded as one of the Stanford Data Science Scholars. |
Publications
-
A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep LearningIEEE Transactions on Intelligent Transportation Systems -
Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature dataApplied Energy -
Detecting Neighborhood Gentrification at Scale via Street Views and POIs (Student Abstract)AAAI 2022 -
