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姓名:張帆
職稱:助理教授,博士生導師
聯系電話:
辦公地點:遙感樓408
郵箱:fanzhanggis@pku.edu.cn
專業及研究領域:

地理人工智能;城市數據科學;城市視覺智能

教育經曆

2013.10--2017.11

博士

香港中文大學

2012.09--2013.11

碩士

香港中文大學

2008.09--2012.07

學士

北京師範大學(珠海)

工作經曆


2023.10--至今

beat365 助理教授/研究員

2022.09--2023.10

香港科技大學 助理教授

2019.09--2022.09

麻省理工學院 Senior Research Fellow

2017.12--2019.11

beat365 博士後

承擔項目

城市大數據挖掘與視覺智能,國家自然科學基金優秀青年科學基金項目(海外),主持,2022-2025


基于街景大數據的城市物質空間多重語義表達,國家自然科學基金面上項目(42371468),主持,2024-2027


Mapping Residents' Perception of Safety through Street View Images and Interpretable AI: A Hong Kong Case Study, Hong Kong Public Policy Research Funding Scheme (2022.A7.024.22B), 主持, 2023-2024


基于多源時空大數據的城市非正規住區挖掘,中國計算機學會-騰訊犀牛鳥基金,主持,2021-2022


基于街景的城市物質空間與居民時空模式定量關系研究,國家自然科學基金青年項目(41901321),主持,2020-2022


基于街景與遙感影像融合的城市情感感知評估方法, 中國博士後科學基金(No. 2018M641068),主持,2018-2019


學術成果
  • 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, 204:209222, 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, 23:1250312517, 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,      25:10571068, 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

邀請報告

2024 Center for Geographic Analysis Center, Harvard University

2024 Department of Architecture, Cambridge University

2023 College of Design and Engineering, National University of Singapore

2023 ISEIS Seminar, The Chinese University of Hong Kong

2022 The Advanced Urban Remote Sensing Workshop, The University of Hong Kong

2022 Urban Artificial Intelligence TAMU workshop, Texas A&M University

2022 LSGI Talk Series: Emerging Topic in Geospatial and Urban Science, The Hong Kong Polytechnic University

2020 Global Frontier Science and Technology Young Scientist Forum

2020 GeoAI International Young Scholar Lecture Series

2019“Urban Visual Intelligence: Perceiving Cities with Imagery”, Department of Architecture and Design, Polytechnic University of Turin


獲獎情況

CPGIS Young Scholar Award (2024)

IGU MGSC Excellent Young Scholar Award (2024)

高校GIS新銳獎 (2024)

Stanford全球前2%頂尖科學家榜單 (2022-2024)

Geospatial World 50 Rising Stars (2022)

MIT Water Hackathon, Runner-up (2022)

WGDC全球前沿科技青年科學家 (2020)

江西省自然科學二等獎 (2019)


學術及社會任職

· Transactions in Urban Data, Science, and Technology》副主編

· ISPRS Journal of Photogrammetry and Remote Sensing》編委、客座主編

· Computers, Environment and Urban Systems》編委

· 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 - 2024


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