
张帆
- 职务职称:研究员,助理教授,博士生导师
- 研究领域:地理人工智能;城市数据科学;城市视觉智能
- 办公地址:北京大学遥感楼
- 邮 编:100871
- 邮 箱:fanzhanggis(at)pku.edu.cn
个人简历
人才培养
科学研究
教研成果
工作经历
- 2023.10 - 至今 助理教授/研究员 北京大学
- 2022.09 - 2023.10 助理教授 香港科技大学
- 2019.09 - 2022.09 Senior Research Fellow 麻省理工学院
- 2017.12 - 2019.11 博士后 北京大学
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)
- 2015.12 - 2016.12 学生 麻省理工学院
课题组信息
课题组目前招收博士后(科研项目博士后或博雅博士后)从事地理人工智能和城市大数据方面的研究工作,同时欢迎感兴趣的本、硕、博研究生加入课题组,请通过邮件(fanzhanggis(at)pku.edu.cn)联系。
承担项目
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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
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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
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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
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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
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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
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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 - Now
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)
论文发表
- 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