Development of a Smart Mobile Farming Service System
Zheng, L., Li, M., Wu, C., Ye, H., Ji R., Deng X., Che Y., Fu, C., and Guo, W. (2011). Development of a Smart Mobile Farming Service System. Mathematical and Computer Modelling 54 (3), 1194-1203.
CV
Education
- B.S. in Remote Sensing and GIS, Peking University, PRC, 2010
- M.A. in Geography, Binghamton University, USA, 2012
- PhD in Geography, University of Maryland, USA, 2018
Work experience
- 2021.11-present: Group Leader of Urban Geoinformatics
- Department of Geography, University of Zurich
- 2020.10-present: “Oberassistent” (Lecturer/Senior Scientist)
- Geographic Information Systems Unit, Department of Geography, University of Zurich
- 2018.7-2020.9: Postdoctoral Fellow
- Department of Geography, University of Zurich
- 2016.2-2018.5: Teaching Assistant and Graduate Assistant
- Department of Geographical Sciences, University of Maryland
- 2016.1-2016.5: Instructor of Object-oriented programming for GIS
- Department of Geographical Sciences, University of Maryland
- 2016.1: Teacher of Big Data Analysis on Python
- Department of Geographical Sciences, University of Maryland
- 2015.9-2015.12: Teaching Assistant and Graduate Research Assistant
- Department of Geographical Sciences, University of Maryland
- 2014.10-2015.3: Technology Assistant Consultant
- Office of Regional Economic Integration, Asian Development Bank
- 2014.6-2014.8: Intern Consultant
- Office of Regional Economic Integration, Asian Development Bank
- 2012.8-2015.5: Graduate Research Assistant
- Department of Geographical Sciences, University of Maryland
- 2012.2-2012.5: Graduate Assistant of the Vice Dean of Graduate School
- Binghamton University
- 2011.7-2011.8: Internship as Software Engineer
- Geomatics Center of Zhejiang, Zhejiang Institute of Survey and Mapping, China
- 2008.11-2010.7: Undergraduate Research Assistant
- Global Navigation Satellite System and Application Lab, Remote Sensing and GIS Institute, Peking University, China
Publications
A tool for measuring and visualizing connectivity of transit stop, route and transfer center in a multimodal transportation network
Mishra, S., Welch, T., Torrens, P., Fu, C., Zhu, H., and Knaap, E. (2015). A tool for measuring and visualizing connectivity of transit stop, route and transfer center in a multimodal transportation network. Public Transport. 7(1). 77-99.
Insights from Online Communications for Local Government Managing Disaster Relief: the Case of Snowstorms
Hong, L., Fu, C., Wu, J., and Frias-Martinez, V. (2018). Insights from Online Communications for Local Government Managing Disaster Relief: the Case of Snowstorms. Information Systems Frontiers. 30(4). 387-396.
Identifying Spatiotemporal Urban Activities through Linguistic Signatures
Fu, C.*, McKenzie, G., Frias-Martinez, V., and Stewart, K. (2018). Identifying Spatiotemporal Urban Activities through Linguistic Signatures. Computers, Environment, and Urban Systems. 72. 25-37.
Using Big GPS Trajectory Data Analytics for Vehicle Miles Traveled Estimation
Fan, J.C., Fu, C., Stewart, K., and Zhang, L. (2019). Using Big GPS Trajectory Data Analytics for Vehicle Miles Traveled Estimation. Transportation Research Part C: Emerging Technologies. 103. 298-307.
Advanced Vehicle Miles Traveled Estimation Methods for Non-federal Aid System Roadways using GPS Vehicle Trajectory Data and Statistical Power Analysis
Nasri, A., Zhang, L., Fan, J.C., Stewart, K., Younes, H., Fu, C., and Jessberger S. (2019). Advanced Vehicle Miles Traveled Estimation Methods for Non-federal Aid System Roadways using GPS Vehicle Trajectory Data and Statistical Power Analysis. Transportation Research Record. 2673(11). 296-308.
Integrating Activity-Based Geographic Information and Long-Term Remote Sensing to Characterize Urban Land Use Change
Fu, C.*, Song, X.P., and Stewart, K. (2019). Integrating Activity-Based Geographic Information and Long-Term Remote Sensing to Characterize Urban Land Use Change. Remote Sensing. 11(24), 2965.
Adaptive Simplification of GPS Trajectories with Geographic Context
Fu, C.*, Huang, H.S., and Weibel, R. (2020). Adaptive Simplification of GPS Trajectories with Geographic Context. International Journal of Geographical Information Science. 1-28.
Spatio-temporal Patterns of Optimal Landsat Data for Burn Severity Index Calculations: Implications for High Northern Latitudes Wildfire Research
Chen, D., Fu, C., Hall, J., Hoy, E., and Loboda, T. (2021). Spatio-temporal Patterns of Optimal Landsat Data for Burn Severity Index Calculations: Implications for High Northern Latitudes Wildfire Research. Remote Sensing of Environment. 258, 112393.
Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment
Zhou, Z.Y., Weibel, R., Fu, C., Winter, S., and Huang, H.S. (2021) Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment. Spatial Cognition & Computation.
Modeling Individuals’ Car Accident Risk by Trajectory, Driving Events, and Geographical Context
Bruehwiler, L., Fu, C.*, Huang, H.S., Longi, L., & Weibel, R. (2022) Modeling Individuals’ Car Accident Risk by Trajectory, Driving Events, and Geographical Context. Computers, Environment, and Urban Systems.
Psychometric Properties of the MOBITEC-GP Mobile Application for Real-Life Mobility Assessment in Older Adults
Giannouli, E., Kim, E.K., Fu, C., Weibel, R., Sofios, A., Infanger, D., Protegijs, E., Rantanen, T., Huang, H.S., Schmidt-Trucksäss, A., Zeller, A., & Hinrichs, T. (2022). Psychometric Properties of the MOBITEC-GP Mobile Application for Real-Life Mobility Assessment in Older Adults. Geriatric Nursing. 48. 273-279.
Epidemiological-Survey-based Multidimensional Modeling for Understanding Daily Mobility during the COVID-19 Pandemic Across Urban-Rural Gradient in the Chinese Mainland
Zhao, F., Dai, Z.X., Zhang, W.Y., Shan, Y.T., Fu, C.* (2023). Epidemiological-Survey-based Multidimensional Modeling for Understanding Daily Mobility during the COVID-19 Pandemic Across Urban-Rural Gradient in the Chinese Mainland. Geo-spatial Information Science.
What Do We Know about the Multidimensional Poverty in China: Its Causes, Dynamics, and Implications for Sustainability
He, J., Fu, C., Li, X., Dong J. X. & Ren. F. (2023). What Do We Know about the Multidimensional Poverty in China: Its Causes, Dynamics, and Implications for Sustainability. ISPRS International Journal of Geo-Information.
A Conceptual Framework for Developing Dashboard for Big Mobility Data
Conrow, L., Fu, C.*, Huang, H.S., Andrienko, G., Andrienko, N., & Weibel. R. (2023). A Conceptual Framework for Developing Dashboard for Big Mobility Data. Cartography and Geographic Information Science.
Remove and Move: Multi-Task Learning for Building Simplification of Vector Maps with Graph Convolutional Neural Network
Zhou, Z.Y., Fu, C., & Weibel, R. (2023) Remove and Move: Multi-Task Learning for Building Simplification of Vector Maps with Graph Convolutional Neural Network. ISPRS Journal of Photogrammetry and Remote Sensing.
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
Neun, M., Eichenberger, C., Xin, Y.N., Fu, C., Wiedemann, N., Martin, H., Tomko, M. Ambuehl, L., Hermes, L., & Kopp, M. (2023). Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities. IEEE Transactions on Intelligent Transportation Systems.
The effect of large scale photovoltaic-based projects on poverty reduction: Empirical evidence from China
He, J., Ren, F., Weibel, R., & Fu, C.* (2023). The effect of large scale photovoltaic-based projects on poverty reduction: Empirical evidence from China. Renewable Energy, 119294.
Keeping Walls Straight: Data Model and Training Set Size Matter for Deep Learning in Building Generalization
Fu, C., Zhou, Z.Y., Feng, Y., & Weibel, R. (2023). Keeping Walls Straight: Data Model and Training Set Size Matter for Deep Learning in Building Generalization.
Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI
Fu, C., Zhou, Z.Y., Xin, Y.N., & Weibel, R. (2024). Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI.
Regional fire–greening positive feedback loops in Alaskan Arctic tundra
Chen, D., Fu, C., Jenkins, L.K., He, J.Y., Wang, Z.H., Jandt, R.R., Frost, G.V., Bredder, A., Berner, L.T., & Loboda, T.V. (2024). Regional fire–greening positive feedback loops in Alaskan Arctic tundra.
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps
Zhou, Z.Y., Fu, C.*, & Weibel, R. (2024). SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps.
Talks
Preliminary Study on Linking Twitter to Crime Issues
Talk at Maryland Emergency Management Association Conference 2014, Atlantic City, MD, USA
Computational Place and Behavior Modeling Using Socially Sensed Data
Talk at HERE Inc., Online
Mobility Modeling with Big Trajectory Data
Talk at State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Online
Trajectory Modeling Practices in the Track&Know Project
Talk at Open Geospatial Consortium (OGC) Summit on Mobility Data Science, Online
Place and mobility
Talk at Dagstuhl Seminar 22162, Dagstuhl, Germany
Progress in Deep Learning-backed Map Generalization
Talk at the 4th Youth Forum by the Institute of Remote Sensing and GIS, Peking University, Beijing, China
Teaching
Awards
- International Graduate Workshop on GeoInformatics ’20 Excellent Presentation Award
- NSF Mobility Workshop ’17 Travel Grant
- ACM SIGSPATIAL’14 Travel Grant
Service and leadership
- Journal reviewer
- ACM Transactions on Spatial Algorithms and Systems, Applied Energy, Cartography and Geographic Information Science (CartoGIS), Cities, Computers, Environment and Urban Systems (CEUS), Environment and Planning B: Urban Analytics and City Science (EPB), Geo-spatial Information Science (TGSI), International Journal of Applied Earth Observation and Geoinformation (IJAEOG), International Journal of Geographical Information Science (IJGIS), Journal of Location Based Services (JLBS), Journal of Spatial Information Science (JOSIS), PLOS One, Scientific Reports, Transactions in GIS (T-GIS), Transportation Research Part A: Policy and Practice
- Conference program committees
- International Symposium on Location-Based Big Data and GeoAI 2023 (LocBigDataAI 2023)
- Traffic4cast 2022: from Few Public Vehicle Counters to Entire City-Wide Traffic.
- International Cartography Association Commission on Location Based Services, 16th International Conference on Location Based Services (LBS 2020, 2023)
- 6th, 7th, and 8th International Conference on Geographical Information Systems Theory, Application and Management (GISTAM 2020, 2021, and 2022)
- International Cartography Association Commission on Location Based Services, International Symposium on Location-Based Big Data 2019 (LocBigData 2019)
- 8th International Symposium “From Data to Models and Back” (DataMod 2019)
- Membership in professional associations
- Co-founder of the Communication Group of Chinese Scholars and Students in Geography in Europe
- Association of American Geographers
- Chinese Professional in Geographic Information Systems (CPGIS)
- Official Nominator of VinFuture Prize by the VinFuture Foundation
- Grant reviewer
- German Israeli Foundation for Scientific Research & Development. 2022
- Department service
- Representative of the GIS Unit in the department faculty meeting since 2020.11
- Workshop organizer
- CartoAI: AI for cartography. GIScience 2023
- Traffic4cast Data Workshop by the Institute of Advanced Research in Artificial Intelligence. 2022.7