Tianyuan Huang

Email: tianyuah [at] stanford [dot] edu

tianyuan_prof.jpg

Hi, I’m Tianyuan Huang (黄天元), a Ph.D. candidate in Civil Engineering with minor in Computer Science at Stanford University, co-advised by Ram Rajagopal and Jackelyn Hwang. Before coming to Stanford, I obtained my B.Eng. degree from South China University of Technology studying Urban Planning and Computer Science.

My research focuses on AI applications for urban sustainability, particularly applying computer vision and multimodal learning in the geospatial context, and developing data-driven approaches to enable large-scale mapping, monitoring, and modeling of urban systems.

News

Mar 12 2024 Our paper Detecting Neighborhood Gentrification with Street-level Visual Data and CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series were featured on Stanford HAI and KCBS Radio.
Oct 23 2023 Our paper Detecting Neighborhood Gentrification with Street-level Visual Data project was featured on San Francisco Chronicle.
Sep 01 2023 I was awarded as one of the Stanford Data Science Scholars.

Publications

  1. SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
    Zhecheng Wang, Rajanie Prabha*, Tianyuan Huang*, Jiajun Wu, and Ram Rajagopal
    AAAI 2024
    PAPER Code
  2. CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series
    Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, and Ram Rajagopal
    AAAI 2024 Special Track on AI for Social Impact
    PAPER Code
  3. A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning
    Yuntao Ma, Hiva Ghanbari, Tianyuan Huang, Jeremy Irvin, Oliver Brady, Sofian Zalouk, Hao Sheng, Andrew Ng, Ram Rajagopal, and Mayur Narsude
    IEEE Transactions on Intelligent Transportation Systems
    PAPER
  4. Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data
    Kevin Mayer, Lukas Haas, Tianyuan Huang, Juan Bernabé-Moreno, Ram Rajagopal, and Martin Fischer
    Applied Energy
    PAPER
  5. Detecting Neighborhood Gentrification at Scale via Street-level Visual Data
    Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, and Jackelyn Hwang
    IEEE Big Data 2022
    PAPER NEWS
  6. Detecting Neighborhood Gentrification at Scale via Street Views and POIs (Student Abstract)
    Tianyuan Huang
    AAAI 2022
    PAPER
  7. SCHMEAR: Scalable Construction of Holistic Models for Energy Analysis from Rooftops
    Thomas R. Dougherty, Tianyuan Huang, Yirong Chen, Rishee K. Jain, and Ram Rajagopal
    ACM BuildSys 2021
    PAPER NEWS
  8. Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond
    Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y. Ng, and Ram Rajagopal
    KDD 2021 Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial)
    Best Paper Runner-Up
    PAPER Code
  9. SRC: Discovering Human Activity Community in A City
    Tianyuan Huang
    ACM SIGSPATIAL 2019
    PAPER