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Fucheng

College of Information and Electrical Engineering

About

  • Department: College of Information and Electrical Engineering
  • Gender: male
  • Nationality:
  • Post: Professor
  • Duties:
  • Research Label: Mobility Big Data; GeoAI; Place Modeling
  • Graduate School: University of Maryland
  • Degree: PhD
  • Tel:
  • Email: cheng.fu@cau.edu.cn
  • Office Location:
  • Address:
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  • Fax:

Expert category

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Resume

Cheng Fu is a Professor (Full) at the College of Information and Electrical Engineering, China Agricultural University, since October 2024. He was a Postdoctoral Researcher, then a Lecturer and Senior Researcher (Oberassistent in German, since 2020.10) and the Group Leader of Urban GeoInformatics (since 2021.11) in the Department of Geography, University of Zurich (UZH), Switzerland.

Check more information at his persoanl website: https://cfu1.github.io/

Teaching research

Social Position

Editorial Board member, Journal of Location Based Services (JLBS)



Dynamic activity

Field

  • GeoAI applications in human mobility modeling

  • Impact of climate change on agriculture machinery

  • Urban place modeling

  • Mobility and health

  • GeoVisualization and cartography


Open Course

Project

Thesis

  • Zhou, Z.Y., Fu, C.*, Weibel, R., SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps. International Journal of Applied Earth Observation and Geoinformation.

  • Chen, D., Fu, C., He, J., Jenkins, L., Baer, A., Jandt, R.R., & Loboda, T.V. Fire-vegetation interactions in Arctic tundra and their spatial variability. Nature Plants.

  • Fu, C., Zhou, Z.Y., Xin, Y.N., & Weibel, R., Reasoning Cartographic Knowledge in Deep Learning-Based Map Generalization with Explainable AI. International Journal of Geographical Information Science. DOI: https://doi.org/10.1080/13658816.2024.2369535

  • Fu, C., Zhou, Z.Y., Feng, Y., & Weibel, R. (2023) Keeping Straight Walls: Data Model and Training Set Size Matter for Deep Learning in Building Generalization. Cartography and Geographic Information Science. DOI: https://doi.org/10.1080/15230406.2023.2264757

  • He, J., Ren, F., Weibel, R., & Fu, C.* (2023) The Effect of China’s Photovoltaic-Based Intervention on Multidimensional Poverty Reduction: Evidence from Pilot Counties. Renewable Energy.DOI: https://doi.org/10.1016/j.renene.2023.119294

  • 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. DOI: https://doi.org/10.1016/j.isprsjprs.2023.06.004

  • 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. DOI: https://doi.org/10.1109/TITS.2023.3291737

  • 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. DOI: https://doi.org/10.1080/15230406.2023.2190164 

  • 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. DOI: https://doi.org/10.3390/ijgi12020078

  • 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. DOI: https://doi.org/10.1080/10095020.2022.2156821

  • 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. DOI: https://doi.org/10.1016/j.gerinurse.2022.10.017

  • 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. DOI: https://doi.org/10.1016/j.compenvurbsys.2022.101760

  • 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. DOI: https://doi.org/10.1080/13875868.2021.1959595

  • 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. DOI: https://doi.org/10.1016/j.rse.2021.112393

  • 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. DOI: https://doi.org/10.1080/13658816.2020.1778003

  • 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. DOI: https://doi.org/10.3390/rs11242965

  • 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. DOI: https://doi.org/10.1177/0361198119850790

  • 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. DOI: https://doi.org/10.1016/j.trc.2019.04.019

  • 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. DOI: https://doi.org/10.1016/j.compenvurbsys.2018.07.003

  • 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. DOI: https://doi.org/10.1145/3091478.3091502

  • 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. DOI: https://doi.org/10.1007/s12469-014-0091-2

  • 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. DOI: https://doi.org/10.1016/j.mcm.2010.11.053

  • Wu, C., Fu, C., Su, H., Zheng, L., Ji, R., and Hu, Y., (2009). GPS-Collection Technology for Agriculture Mobile Management. Transactions of the Chinese Society for Agricultural Machinery, 2009, 40(Z1):169-172. In Chinese with English abstract.

  • Tang, A., Wu, C., Zheng, L., Ji, R., Chen, X., and Fu, C. (2009). Wireless Telecommunication Technology for Agriculture Applications. Transactions of the Chinese Society of Agricultural Machinery S1, 244-247. In Chinese.


Thesis

Achievements

The software works Patent

Honor

Enrollment

Enrollment in previous years Application intention

Team Display

Post: Professor

Duties:

Research Label: Mobility Big Data; GeoAI; Place Modeling

Degree: PhD

Tel:

Email: cheng.fu@cau.edu.cn

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