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姓名:张帆
职称:助理教授,博士生导师
联系电话:
办公地点:遥感楼408
邮箱:fanzhanggis@pku.edu.cn
专业及研究领域:

地理人工智能;城市数据科学;城市视觉智能

教育经历

2013.10--2017.11

博士

香港中文大学

2012.09--2013.11

硕士

香港中文大学

2008.09--2012.07

学士

北京师范大学(珠海)

工作经历


2023.10--至今

热博rb88体育官网 助理教授/研究员

2022.09--2023.10

香港科技大学 助理教授

2019.09--2022.09

麻省理工学院 Senior Research Fellow

2017.12--2019.11

热博rb88体育官网 博士后

承担项目

城市大数据挖掘与视觉智能,国家自然科学基金优秀青年科学基金项目(海外),主持,2022-2025


基于街景大数据的城市物质空间多重语义表达,国家自然科学基金面上项目(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


基于多源时空大数据的城市非正规住区挖掘,中国计算机学会-腾讯犀牛鸟基金,主持,2021-2022


基于街景的城市物质空间与居民时空模式定量关系研究,国家自然科学基金青年项目(41901321),主持,2020-2022


基于街景与遥感影像融合的城市情感感知评估方法, 中国博士后科学基金(No. 2018M641068),主持,2018-2019


学术成果
  • 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

邀请报告

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


获奖情况

CPGIS Young Scholar Award (2024)

IGU MGSC Excellent Young Scholar Award (2024)

高校GIS新锐奖 (2024)

Stanford全球前2%顶尖科学家榜单 (2022-2024)

Geospatial World 50 Rising Stars (2022)

MIT Water Hackathon, Runner-up (2022)

WGDC全球前沿科技青年科学家 (2020)

江西省自然科学二等奖 (2019)


学术及社会任职

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

· ISPRS Journal of Photogrammetry and Remote Sensing》编委、客座主编

· Computers, Environment and Urban Systems》编委

· 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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