Zhang Fan

  • Title：Assistant Professor
  • Research Domain：Geospatial Artificial Intelligence; Urban Data Science; Urban Visual Intelligence
  • Address：Institute of Remote Sensing and GIS, Peking University
  • Zip Code：100871
  • Email: fanzhanggis@pku.edu.cn

Resume

Teaching

Projects

Achievements

Working Experience

  • 2023.10 -   Now,    Assistant Professor, Peking University
  • 2022.09 - 2023.10, Assistant Professor, The Hong Kong University of Science and Technology
  • 2019.09 - 2022.09, Senior Research Fellow, Massachusetts Institute of Technology
  • 2017.12 - 2019.11, Postdoc, Peking University

 

Education

  • 2013.10 - 2017.11, PhD, The Chinese University of Hong Kong
  • 2012.09 - 2013.11, MSc, The Chinese University of Hong Kong
  • 2008.09 - 2012.07, BS, Beijing Normal University, Zhuhai

Teaching Experience

  • 01235510 Geospatial Artificial Intelligence, PekingU, Instructor, 2025 - Now (Spring term)
  • 01213590 Spatial Analysis and GIS Applications, PekingU, Instructor, 2025 - Now (Spring term)
  • CIVL4100S GIS and Urban Data Science, HKUST, Instructor, 2023 Spring
  • CORE1221 Data Science for Smart Cities, HKUST, Instructor, 2023 Fall
  • 11.S951 Senseable City: Data and Analytics, MIT, Co-Instructor, 2022 Spring

Services

  • 《Transactions in Urban Data, Science, and Technology》Associate Editor
  • 《ISPRS Journal of Photogrammetry and Remote Sensing》Editorial Board Member
  • 《Computers, Environment and Urban Systems》Editorial Board Member
  • BOD (Board of Directors) member of YSIN-ISDE (Young Scientist Innovation Network of the International Society for Digital Earth) 2023 - Now
  • BOD (Board of Directors) member of CPGIS (International Association of Chinese Professionals in GISciences) 2021 - 2022
  • BOD (Board of Directors) member of IEEE GRSS HK-Chapter (IEEE Geoscience and Remote Sensing Society Hong Kong Chapter) 2022 - Now

Grants

  • Geospatial Data Mining & Visual Intelligence, National Natural Science Foundation of China-Excellent Young Scientists Fund Program (Overseas) (No. 41901321), PI, 2022-2025

  • Representing Urban Physical Environment using Street View Imagery, National Natural Science Foundation of China (No. 42371468), PI, 2024-2026

  • Mapping Residents’ Perception of Safety through Street View Images and Interpretable AI: A Hong Kong Case Study, Public Policy Research Funding Scheme (No. PPR23EG01), PI, 2023-2024

  • Understanding the relationship between urban physical environment and urban mobility patterns quantitatively using street view imagery, National Natural Science Foundation of China (No. 41901321), PI, 2020-2022

  • Identifying urban informal settlement using multi-source big geo-data, Tencent Academic Research Fund (No. RAGR20210101), PI, 2021-2022

  • Measuring the Evolution of Urban Renewal in the United States using Satellite Imagery and Deep Learning, Cornell-HKUST Global Strategic Collaboration Fund, PI, 2023- 2024

  • Perceptions of Urban physical environment quantification and evaluation with multi-source image data fusion, China Postdoctoral Science Foundation Grant (No. 2018M641068), PI, 2018-2019

Awards

  • CPGIS Young Scholar Award 2024
  • IGU MGSC Excellent Young Scholar Award 2024
  • Stanford's list World Top 2% scientists 2022-2024
  • Geospatial World 50 Rising Stars 2022
  • Runner-up, MIT Water Hackathon 2022
  • Global Young Scientist Award in Frontier Science and Technology 2020
  • Second Class, Natural Science Award of Jiangxi Province 2019
  • International Scholar Exchange Fellowship, China 2018
  • Seed Award, Shanghai Open Data Apps 2016

Publications

  • Zhang, Yan, Yong Li, and  Fan Zhang*. Multi-level urban street representation with street-view imagery and hybrid semantic graph. ISPRS Journal of Photogrammetry and Remote Sensing 218: 19-32, 2024
  • Hou, Ce,  Fan Zhang*, Yuhao Kang, Song Gao, Yong Li, Fábio Duarte, and Sen Li. Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities. Annals of the American Association of Geographers 1-19, 2024.
  • Min Chen,  et al. "Collaboration between artificial intelligence and Earth science communities for mutual benefit." Nature Geoscience 17, no. 10: 949-952, 2024.
  • Zhuangyuan Fan, Fan Zhang*, Becky PY Loo, and Carlo Ratti. Urban visual intelligence: Uncovering hidden city profiles with street view images. Proceedings of the National Academy of Sciences, 120(27):e2220417120, 2023 
  • Fan Zhang*, Arianna Salazar-Miranda, Fábio Duarte, Lawrence Vale, Gary Hack, Min Chen, Yu Liu, Michael Batty, and Carlo Ratti. Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery. Annals of the American Association of Geographers, 2024.
  • Arianna Salazar Miranda, Fan Zhang*, Maoran Sun, Pietro Leoni, Fábio Duarte, and Carlo Ratti. Smart curbs: Measuring street activities in real-time using computer vision. Landscape and Urban Planning, 234:104715, 2023
  • Yingjing Huang, Fan Zhang*, Yong Gao, Wei Tu, Fabio Duarte, Carlo Ratti, Diansheng Guo, and Yu Liu. Comprehensive urban space representation with varying numbers of street-level images. Computers, Environment and Urban Systems, 106:102043, 2023
  • Fan Zhang, Jan Dirk Wegner, Bisheng Yang, and Yu Liu. Street-level imagery analytics and applications. ISPRS Journal of Photogrammetry and Remote Sensing, 199:195–196, 2023
  • Zhixin Zhang, et al. Significant carbon mitigation potential of rooftop solar photovoltaics in China. Nature Communications, 14(2347), 2023
  • Chuanbo Hu, Shan Jia, Fan Zhang, Changjiang Xiao, Mindi Ruan, Jacob Thrasher, and Xin Li. Updexplainer: an interpretable transformer-based framework for urban physical disorder detection using street view imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 204:209–222, 2023
  • Chuan-bo Hu, Shan Jia, Fan Zhang, and Xin Li. A saliency-guided street view image inpainting framework for efficient last-meters wayfinding. ISPRS Journal of Photogrammetry and Remote Sensing, 195:365–379, 2023
  • Min Chen, et al. Nature Reviews Earth & Environment, 4(8):568–581, 2023
  • Maoran Sun, Changyu Han, Quan Nie, Fan Zhang*, and Qunshan Zhao*. Understanding building energy efficiency with administrative and emerging urban big data by deep learning in Glasgow. Energy and Buildings, 273:112331, 2022 
  • Maoran Sun, Fan Zhang*, Fabio Durate, and Carlo Ratti. Understanding architecture ages and styles through deep learning. Cities, 128:103787, 2022
  • Zhuangyuan Fan, Fan Zhang, and Becky P.Y. Loo.  Rhythm of Transit Stations Uncovering  the Activity-travel Dynamics of Transit-Oriented Development in the U.S. IEEE Transactions on Intelligent Transportation Systems, 23:12503–12517, 2022
  • Yuhao Kang, Fan Zhang*, Wenzhe Peng, Song Gao, Jinmeng Rao, Fabio Duarte, and Carlo Ratti. Understanding house price appreciation using multi-source big geo-data and machine learning. Land Use Policy, 111:104919, 2021
  • Yuhao Kang, Fan Zhang*, Song Gao, Wenzhe Peng, and Carlo Ratti. Human settlement value assessment from a place perspective: considering human mobility and perceptions in house price modeling. Cities, 117, 2021
  • Fan Zhang and Yu Liu. Street view imagery: methods and applications based on artificial intelligence techniques. National Remote Sensing Bulletin, 25:1057–1068, 2021
  • Chuanbo Hu, Fan Zhang*, Fangying Gong, Carlo Ratti, and Xin Li. Classification and mapping of urban canyon geometry using Google Street View images and deep multitask learning. Building and Environment, 167:106424, 2020
  • Yuhao Kang, Fan Zhang*, Song Gao, Hui Lin, and Yu Liu. A review of urban physical environment sensing using street view imagery in public health studies. Annals of GIS, 26(3):261–275, 2020
  • Fan Zhang, Zhuangyuan Fan, Yujie Hu, and Carlo Ratti. “Perception bias”: Deciphering a mismatch between urban crime rate and perception of safety. Landscape and Urban Planning, 207:104003, 2020
  • Fan Zhang, Jinyan Zu, Mingyuan Hu, Di Zhu, Yuhao Kang, Song Gao, Yi Zhang, and Zhou Huang. Uncovering inconspicuous places using social media check-ins and street view images. Computers, Environment and Urban Systems, 81:101478, 2020
  • Di Zhu, Fan Zhang, Shengyin Wang, Ximeng Cheng, Zhou Huang, Yaoli Wang, and Yu Liu. Understanding place characteristics in geographic contexts through graph convolutional neural networks. Annals of the American Association of Geographers, 110(2):408–420, 2020
  • Fan Zhang, Lun Wu, Di Zhu, and Yu Liu. Social sensing from street-level imagery: a case study in learning spatio-temporal urban mobility patterns. ISPRS Journal of Photogrammetry and Remote Sensing, 153:48–58, 2019 
  • Fan Zhang, Ding Zhang, Yu Liu, and Hui Lin. Representing place locales using scene elements. Computers, Environment and Urban Systems, 71:153–164, 2018
  • Fan Zhang, Bolei Zhou, Liu Liu, Yu Liu, Helene H. Fung, Hui Lin, and Carlo Ratti. Measuring human perceptions of a large-scale urban region using machine learning. Landscape and Urban Planning, 180:148–160, 2018

 

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