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

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]
```
@article{2023_multilayer_Zhihang,
  author = {Liu, Zhihang and Wu, Jinlin and Li, Hao and Werner, Martin},
  title = {Spatio-temporal Analysis of Urban Economic Resilience during Covid-19 with Multilayer Complex Networks},
  journal = {the ISPRS Geospatial Week 2023, GeoHB workshop},
  year = {2023}
}
```
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]
```
@misc{2023_semisupervised_Hao,
  title = {Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation},
  author = {Li, Hao and Yuan, Zhendong and Dax, Gabriel and Kong, Gefei and Fan, Hongchao and Zipf, Alexander and Werner, Martin},
  year = {2023},
  eprint = {2307.02574},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV}
}
```
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]
```
@article{2023_pointcloudqueries_Teuscher,
  author = {Teuscher, Balthasar and Geißendörfer, Oliver and Luo, Xuanshu and Li, Hao and Anders, Katharina and Holst, Christoph and Werner, Martin},
  title = {Efficient In-Memory Point Cloud Query Processing},
  journal = {18th International 3DGeoInfo Conference 2023},
  year = {2023}
}
```
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]
```
@article{2022_IGCE_AcademicTeaching_BBKI_Xiong,
  title = {Integrating AI Hardware in Academic Teaching: Experiences and Scope from Brandenburg and Bavaria},
  project = {bbki},
  author = {Xiong, Zhouyi and Stober, Dirk and Krstić, Miloš and Korup, Oliver and Arango, Maria Isabel and Li, Hao and Werner, Martin},
  journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  year = {2023}
}
```
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]
```
@article{2022_Geoepi_watertank_Hao,
  title = {Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti},
  author = {Knoblauch, Steffen and Li, Hao and Lautenbach, Sven and Elshiaty, Yara and Rocha, Ant{\^o}nio A de A and Resch, Bernd and Arifi, Dorian and J{\"a}nisch, Thomas and Morales, Ivonne and Zipf, Alexander},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  url = {https://doi.org/10.1016/j.jag.2023.103304},
  volume = {119},
  pages = {103304},
  year = {2023},
  publisher = {Elsevier}
}
```
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]
```
@article{2022_CompInDL_Dax,
  title = {Compression Supports Spatial Deep Learning},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)},
  author = {Dax, Gabriel and Nagarajan, Srilakshmi and Li, Hao and Werner, Martin},
  url = {https://doi.org/10.1109/JSTARS.2022.3226563},
  year = {2022},
  project = {mlab}
}
```
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]
```
@proceedings{grinberger_a_yair_2022_7004424,
  author = {Grinberger, A Yair and Liu, Pengyuan and Li, Hao and Juhasz, Levente and Minghini, Marco},
  title = {{OpenStreetMap, beyond just Data: The Academic
                     Track at State of the Map 2022}},
  year = {2022},
  publisher = {Zenodo},
  month = aug,
  doi = {10.5281/zenodo.7004424},
  url = {https://doi.org/10.5281/zenodo.7004424}
}
```

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]

@inproceedings{2022_atlashdf_Werner,
  author = {Werner, Martin and Li, Hao},
  title = {AtlasHDF: An Efficient Big Data Framework for GeoAI},
  year = {2022},
  isbn = {9781450395311},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3557917.3567615},
  doi = {10.1145/3557917.3567615},
  pages = {1–7},
  numpages = {7},
  keywords = {GeoAI, OpenStreetMap, big data, hierarchical data format, immediate mapping},
  location = {Seattle, Washington},
  series = {BigSpatial '22}
}

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]
```
@article{hu2022location,
  title = {Location reference recognition from texts: A survey and comparison},
  author = {Hu, Xuke and Zhou, Zhiyong and Li, Hao and Hu, Yingjie and Gu, Fuqiang and Kersten, Jens and Fan, Hongchao and Klan, Friederike},
  journal = {arXiv preprint arXiv:2207.01683},
  url = {https://arxiv.org/pdf/2207.01683.pdf},
  year = {2022}
}
```

Andere Publikationen

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]
```
@article{li2022leveraging,
  title = {Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection},
  author = {Li, Hao and Zech, Johannes and Hong, Danfeng and Ghamisi, Pedram and Schultz, Michael and Zipf, Alexander},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  volume = {110},
  pages = {102804},
  year = {2022},
  publisher = {Elsevier}
}
```
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]
```
@article{li2021automatic,
  title = {Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning},
  author = {Li, Hao and Zech, Johannes and Ludwig, Christina and Fendrich, Sascha and Shapiro, Aurelie and Schultz, Michael and Zipf, Alexander},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  volume = {104},
  pages = {102571},
  year = {2021},
  publisher = {Elsevier}
}
```
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]
```
@article{li2022understanding,
  title = {Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing},
  author = {Li, Hao and Yuan, Zhendong and Novack, Tessio and Huang, Wei and Zipf, Alexander},
  journal = {Computers, Environment and Urban Systems},
  volume = {96},
  pages = {101848},
  year = {2022},
  publisher = {Elsevier}
}
```
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]
```
@article{li2020multi,
  title = {A multi-sensor fusion framework based on coupled residual convolutional neural networks},
  author = {Li, Hao and Ghamisi, Pedram and Rasti, Behnood and Wu, Zhaoyan and Shapiro, Aurelie and Schultz, Michael and Zipf, Alexander},
  journal = {Remote Sensing},
  volume = {12},
  number = {12},
  pages = {2067},
  year = {2020},
  publisher = {MDPI}
}
```
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]
```
@article{li2018hyperspectral,
  title = {Hyperspectral and LiDAR fusion using deep three-stream convolutional neural networks},
  author = {Li, Hao and Ghamisi, Pedram and Soergel, Uwe and Zhu, Xiao Xiang},
  journal = {Remote Sensing},
  volume = {10},
  number = {10},
  pages = {1649},
  year = {2018},
  publisher = {MDPI}
}
```
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]
```
@article{li2020exploration,
  title = {Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique},
  author = {Li, Hao and Herfort, Benjamin and Huang, Wei and Zia, Mohammed and Zipf, Alexander},
  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
  volume = {166},
  pages = {41--51},
  year = {2020},
  publisher = {Elsevier}
}
```
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]
```
@article{li2022improving,
  title = {Improving OpenStreetMap missing building detection using few-shot transfer learning in sub-Saharan Africa},
  author = {Li, Hao and Herfort, Benjamin and Lautenbach, Sven and Chen, Jiaoyan and Zipf, Alexander},
  journal = {Transactions in GIS},
  year = {2022},
  publisher = {Wiley Online Library}
}
```