Xuanshu Luo

E-Mail:	xuanshu.luo (at) tum.de
Phone:	n/a
room:	01.9377.113
Address:	Technische Universität München Xuanshu Luo Lise-Meitner-Str. 9 85521 Ottobrunn

Forschungsinteressen

• Edge Computing
• Deep Learning
• FPGA

Projekte

• Brandenburg / Bayern Aktion für KI-Hardware (BB-KI Chips)

Publikationen an der Professur

1. Walther, P., Luo, X., & Werner, M. (2024). TraBiMap: Reducing Privacy Concerns in Trajectory Analysis with Randomized Data Representations. 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies. https://doi.org/10.1145/3681768.3698496 [PDF] [Online]
2. Li, H., Deuser, F., Yin, W., Luo, X., Walther, P., Mai, G., Huang, W., & Werner, M. (2024). Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN. https://doi.org/10.48550/arXiv.2408.06761 [PDF] [Online]
3. Li, H., Wang, J., Teuscher, B., Luoa, P., Hong, D., Mai, G., & Werner, M. (2024). GIMI: A Geographical Generalizable Image-to-Image Search Engine with Location-explicit Contrastive Embedding. ICLR 2024 Workshop on Machine Learning in Remote Sensing(ML4RS). [PDF]
4. Luo, X., Walther, P., Mansour, W., Teuscher, B., Zollner, J. M., Li, H., & Werner, M. (2023). Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet. The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’23), November 13–16, 2023, Hamburg, Germany. https://doi.org/10.1145/3589132.3629971 [PDF] [Online]
5. Teuscher, B., Geißendörfer, O., Luo, X., Li, H., Anders, K., Holst, C., & Werner, M. (2024). Efficient In-Memory Point Cloud Query Processing. In T. H. Kolbe, A. Donaubauer, & C. Beil (Eds.), Recent Advances in 3D Geoinformation Science (pp. 267–286). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43699-4_16 [PDF] [Online]

Andere Publikationen

1. Wu, J., Ji, X., Lyu, Y., Luo, X., Meng, Y., Morales, E., Wang, D., & Luo, X. (2022). Touchscreens Can Reveal User Identity: Capacitive Plethysmogram-Based Biometrics. IEEE Transactions on Mobile Computing, 1–15. https://doi.org/10.1109/TMC.2022.3214846
2. Luo, X., & Meratnia, N. (2022). A Geometric Deep Learning Framework for Accurate Indoor Localization. 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 1–8. https://doi.org/10.1109/IPIN54987.2022.9918118