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
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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/
Social Position
Editorial Board member, Journal of Location Based Services (JLBS)
Field
GeoAI applications in human mobility modeling Impact of climate change on agriculture machinery Urban place modeling Mobility and health GeoVisualization and cartography
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.
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