Universitätssiegel

Im Neuenheimer Feld 348
Raum 012D
69120 Heidelberg
hao.li@uni-heidelberg.de
Telefon: +49 6221 54-5534
Fax: +49 6221 54-4529
personal website

 

Hao Li

Research Interests
  • volunteered geographic information (VGI)
  • geo-semantics
  • deep learning and machine learning
  • remote sensing
Curriculum Vitae
  • 09/2015-02/2018: Master of Science in Geomatics Engineering, University of Stuttgart, Germany
  • 07/2017-01/2018: Master thesis student, Signal Processing in Earth Observation Group, Techinical University of Munich & German Aerospace Center (DLR), Germany
  • 09/2012-07/2015: Bachelor of Science (double degree) in Computer Science, Wuhan University, China
  • 09/2011-07/2015: Bachelor of Science in Geographic Information System, Wuhan University, China
Projects
  • DeepVGI: Deep Learning with Volunteered Geographic Information
Publications
  • Hu, X., Noskov, A., Fan, H., Novack, T., Li, H., Gu, F., Shang, J. & Zipf, A. (2021): Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning, International Journal of Geographical Information Science. DOI: 10.1080/13658816.2020.1861282
  • Li, H.; Ghamisi, P.; Rasti, B.; Wu, Z.; Shapiro, A.; Schultz, M.; Zipf, A.(2020): A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. Remote Sensing. 2020, 12, 2067. DOI: https://doi.org/10.3390/rs12122067
  • Wu, Zhaoyan, Li, Hao, & Zipf, Alexander. (2020): From Historical OpenStreetMap data to customized training samples for geospatial machine learning. In proceedings of the Academic Track at the State of the Map 2020 Online Conference, July 4-5 2020. DOI: http://doi.org/10.5281/zenodo.3923040
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