Yingjing Huang

PhD @ Peking University

Hi, I am Yingjing Huang (黄颖菁). 👋

I am an incoming University Assistant Postdoc at the University of Vienna. I hold a Ph.D. in Geographic Information Science from Peking University, China, where I was advised by Prof. Lun Wu (邬伦), Prof. Yu Liu (刘瑜), and Prof. Fan Zhang (张帆). During my doctoral studies, I also spent one year as a visiting researcher at the MIT Senseable City Lab, working with Prof. Carlo Ratti, Dr. Fábio Duarte, and Dr. Simone Mora. I received my B.S. and M.S. degrees from Wuhan University under the supervision of Prof. Teng Fei (费腾).

My research stands at the intersection of GIScience and Computer Vision. I focus on Urban Visual Intelligence, developing deep learning methods to analyze urban physical environments and their interactions with human activities.

news

Dec 13, 2025	Our paper on “Learning street view representations based on a spatiotemporal contrastive learning framework” is accepted to Computers, Environment and Urban Systems 🎉🎉
Nov 04, 2025	I am honored to receive the DAAD AI-Net Postdoc Fellowship 😁😁
Sep 16, 2025	Our paper on “Representation learning for geospatial data” is accepted to Annals of GIS 🎉🎉
Jun 18, 2025	Our paper on “Measuring Urban Physical Environments Using lmage Deep Features: A Case Study” is accepted to Cities 🎉🎉
May 19, 2025	I successfully defended my PhD thesis!

selected publications

Contrastive Learning

Learning street view representations based on a spatiotemporal contrastive learning framework

Yong Li, Yingjing Huang, and Fan Zhang

Computers, Environment and Urban Systems, 2026

DOI Bib PDF

@article{li2026learning,
  title = {Learning street view representations based on a spatiotemporal contrastive learning framework},
  author = {Li, Yong and Huang, Yingjing and Zhang, Fan},
  year = {2026},
  journal = {Computers, Environment and Urban Systems},
  volume = {125},
  pages = {102393},
  issn = {0198-9715},
  language = {en},
  doi = {10.1016/j.compenvurbsys.2025.102393},
  co_first = {true},
}

Representation Learning

Measuring urban physical environments using image deep features

Yingjing Huang, Fan Zhang, Lun Wu, and Yu Liu

Cities, 2025

DOI Bib PDF Code

@article{huang2025measuringa,
  title = {Measuring urban physical environments using image deep features},
  author = {Huang, Yingjing and Zhang, Fan and Wu, Lun and Liu, Yu},
  year = {2025},
  journal = {Cities},
  volume = {166},
  pages = {106196},
  issn = {0264-2751},
  language = {en},
  doi = {10.1016/j.cities.2025.106196},
}

Intelligent Computational Representation of Urban Imagery

Yingjing Huang, Fan Zhang, Yong Li, Lun Wu, and Yu Liu

Geomatics and Information Science of Wuhan University, 2025

(in Chinese)

DOI Bib PDF

@article{huang2025cheng,
  title = {Intelligent Computational Representation of Urban Imagery},
  author = {Huang, Yingjing and Zhang, Fan and Li, Yong and Wu, Lun and Liu, Yu},
  year = {2025},
  journal = {Geomatics and Information Science of Wuhan University},
  volume = {0},
  number = {0},
  issn = {1671-8860},
  language = {cn},
  doi = {10.13203/j.whugis20240472},
}

No True Greenery

No “true” greenery: Deciphering the bias of satellite and street view imagery in urban greenery measurement

Yingjing Huang, Rohit Priyadarshi Sanatani, Chang Liu, Yuhao Kang, Fan Zhang, Yu Liu, Fabio Duarte, and Carlo Ratti

Building and Environment, 2025

DOI Bib PDF Code Website

@article{huang2025no,
  title = {No ``true'' greenery: Deciphering the bias of satellite and street view imagery in urban greenery measurement},
  author = {Huang, Yingjing and Sanatani, Rohit Priyadarshi and Liu, Chang and Kang, Yuhao and Zhang, Fan and Liu, Yu and Duarte, Fabio and Ratti, Carlo},
  year = {2025},
  journal = {Building and Environment},
  volume = {269},
  pages = {112395},
  issn = {03601323},
  doi = {10.1016/j.buildenv.2024.112395},
  language = {en},
}

Vision-LSTM

Comprehensive Urban Space Representation with Varying Numbers of Street-Level Images

Yingjing Huang, Fan Zhang, Yong Gao, Wei Tu, Fabio Duarte, Carlo Ratti, Diansheng Guo, and Yu Liu

Computers, Environment and Urban Systems, Dec 2023

DOI Bib PDF Code Website

@article{huang2023comprehensive,
  title = {Comprehensive Urban Space Representation with Varying Numbers of Street-Level Images},
  author = {Huang, Yingjing and Zhang, Fan and Gao, Yong and Tu, Wei and Duarte, Fabio and Ratti, Carlo and Guo, Diansheng and Liu, Yu},
  year = {2023},
  month = dec,
  journal = {Computers, Environment and Urban Systems},
  volume = {106},
  pages = {102043},
  issn = {0198-9715},
  language = {en},
  doi = {10.1016/j.compenvurbsys.2023.102043},
  urldate = {2023-10-12},
}