Yingjing Huang

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PhD @ Peking University

Hey, I am Yingjing Huang (黄颖菁). 👋

I am a Ph.D. candidate in Cartograpghy and Geographic Information Science at Peking University, China, jointly supervised by Prof. Lun Wu (邬伦), Prof. Yu Liu (刘瑜), and Prof. Fan Zhang (张帆). I spent one year as a visiting Ph.D. student at the MIT Senseable City Lab for one year, jointly supervised by Prof. Carlo Ratti, Dr. Fábio Duarte, and Dr. Simone Mora. I hold a bachelor’s and master’s degree from Wuhan University, China, where I was advised by Prof. Teng Fei (费腾).

My research lies at the intersection of GIScience and computer vision, focusing on urban visual AI and its applications in urban planning.

I expect to complete my Ph.D. in June 2025 and am actively seeking faculty or postdoctoral opportunities.

news

May 19, 2025 I successfully defended my PhD thesis!
Apr 16, 2025 Our paper on “Intelligent Computational Representation of Urban Imagery” (in Chinese)is accepted to Geomatics and Information Science of Wuhan University 🎉🎉
Dec 01, 2024 Our paper on “No “true” greenery: Deciphering the bias of satellite and street view imagery in urban greenery measurement” is accepted to Building and Environment 🎉🎉
Apr 17, 2024 Presentation on 2024 AAG Annual Meeting
Sep 23, 2023 Our paper on “Comprehensive urban space representation with varying numbers of street-level images” is accepted to Computers, Environment and Urban Systems 🎉🎉

selected publications

  1. 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)
  2. No True Greenery
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    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
  3. Vision-LSTM
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    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
  4. Emotional Computing
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    GIS-Based Emotional Computing: A Review of Quantitative Approaches to Measure the Emotion Layer of Human–Environment Relationships
    Yingjing Huang, Teng Fei, Mei-Po Kwan, Yuhao Kang, Jun Li, Yizhuo Li, Xiang Li, and Meng Bian
    ISPRS International Journal of Geo-Information, Sep 2020
  5. Bias in Place Emotion
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    Quantifying the Bias in Place Emotion Extracted from Photos on Social Networking Sites: A Case Study on a University Campus
    Yingjing Huang, Jun Li, Guofeng Wu, and Teng Fei
    Cities, Jul 2020