About me
Bonjour! I’m Xiayin Lou, a doctoral student in Chair of Cartography and Visual Analytics at Technical University of Munich (TUM). My research interests lie at the intersection of Machine Learning, GIScience, Urban Study, and Visualization. The core questions for me can be devided into five parts: (1) “how to percept our world with multimodal geospatial related datasets using spatially explicit machine learning models (e.g., remote sensing images, streetview images, geographic texts, geotagged tweets, videos, sounds, etc.)?“, (2) “what knowledge can we learn by analyzing these spatial related data?“, (3) “how can geoinformation benefit our society and improve our living quality?“, (4) “how can spatial intelligence automate our world?“ and (5) “what problem may happen after introducing spatial information into traditional machine learning models?“. I want to exploit the full potential of geospatial data as well as spatially explicit models to explore the human-centered topics in the urban areas, such as human mobility, barrier-free accessibility, transportation flow, etc. Inspired by recent advance in AGI (Artificial General Intelligence), I also aim to build a unified model for the field of GIScience, which is called GeoAGI. If you are interested in working with me, please feel free to contact me!
During my leisure time, I usually enjoy trail running, marathon, rowing, etc.
News
- [22 November 2023] Our paper “FINNCH: Cooperative Pursuit Navigation for a Pursuer Team to Capture a Single Evader in Urban Environments“ is now available online in ISPRS International Journal of Geo-Information.
- [5 September 2022] Our paper “A fine-grained navigation network construction method for urban environments“ is now avaiable online in International Journal of Applied Earth Observation and Geoinformation.