Dr. Hao Li

E-Mail: hao_bgd.li@tum.de
Telefon: (+49) 89 289 555 54
Raum: 103
Anschrift: Technische Universität München
Dr. Hao Li
Lise-Meitner-Str. 9
85521 Ottobrunn
Full publications and CV

Publikationen an der Professur

  1. Liu, Z., Wu, J., Li, H., & Werner, M. (2023). Spatio-temporal Analysis of Urban Economic Resilience during Covid-19 with Multilayer Complex Networks. The ISPRS Geospatial Week 2023, GeoHB Workshop. [PDF] [BibTeX]
  2. Li, H., Yuan, Z., Dax, G., Kong, G., Fan, H., Zipf, A., & Werner, M. (2023). Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation. [PDF] [BibTeX]
  3. Teuscher, B., Geißendörfer, O., Luo, X., Li, H., Anders, K., Holst, C., & Werner, M. (2023). Efficient In-Memory Point Cloud Query Processing. 18th International 3DGeoInfo Conference 2023. [PDF] [BibTeX]
  4. Xiong, Z., Stober, D., Krstić, M., Korup, O., Arango, M. I., Li, H., & Werner, M. (2023). Integrating AI Hardware in Academic Teaching: Experiences and Scope from Brandenburg and Bavaria. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. [BibTeX]
  5. Knoblauch, S., Li, H., Lautenbach, S., Elshiaty, Y., Rocha, A. A. de A., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2023). Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti. International Journal of Applied Earth Observation and Geoinformation, 119, 103304. https://doi.org/10.1016/j.jag.2023.103304 [PDF] [Online] [BibTeX]
  6. Dax, G., Nagarajan, S., Li, H., & Werner, M. (2022). Compression Supports Spatial Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). https://doi.org/10.1109/JSTARS.2022.3226563 [Online] [BibTeX]
  7. Grinberger, A. Y., Liu, P., Li, H., Juhasz, L., & Minghini, M. (2022). OpenStreetMap, beyond just Data: The Academic Track at State of the Map 2022. Zenodo. https://doi.org/10.5281/zenodo.7004424 [Online] [BibTeX]
  8. Werner, M., & Li, H. (2022). AtlasHDF: An Efficient Big Data Framework for GeoAI. 1–7. https://doi.org/10.1145/3557917.3567615 [PDF] [Online] [BibTeX]
  9. Hu, X., Zhou, Z., Li, H., Hu, Y., Gu, F., Kersten, J., Fan, H., & Klan, F. (2022). Location reference recognition from texts: A survey and comparison. ArXiv Preprint ArXiv:2207.01683. https://arxiv.org/pdf/2207.01683.pdf [Online] [BibTeX]

Andere Publikationen

  1. Li, H., Zech, J., Hong, D., Ghamisi, P., Schultz, M., & Zipf, A. (2022). Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. International Journal of Applied Earth Observation and Geoinformation, 110, 102804. [BibTeX]
  2. Li, H., Zech, J., Ludwig, C., Fendrich, S., Shapiro, A., Schultz, M., & Zipf, A. (2021). Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning. International Journal of Applied Earth Observation and Geoinformation, 104, 102571. [BibTeX]
  3. Li, H., Yuan, Z., Novack, T., Huang, W., & Zipf, A. (2022). Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing. Computers, Environment and Urban Systems, 96, 101848. [BibTeX]
  4. 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, 12(12), 2067. [BibTeX]
  5. Li, H., Ghamisi, P., Soergel, U., & Zhu, X. X. (2018). Hyperspectral and LiDAR fusion using deep three-stream convolutional neural networks. Remote Sensing, 10(10), 1649. [BibTeX]
  6. Li, H., Herfort, B., Huang, W., Zia, M., & Zipf, A. (2020). Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique. ISPRS Journal of Photogrammetry and Remote Sensing, 166, 41–51. [BibTeX]
  7. Li, H., Herfort, B., Lautenbach, S., Chen, J., & Zipf, A. (2022). Improving OpenStreetMap missing building detection using few-shot transfer learning in sub-Saharan Africa. Transactions in GIS. [BibTeX]

© 2020 M. Werner