About Me
I am now a lecturer and research associate in Technical University of Munich, Germany, and also affiliated with the GIScience group in Heidelberg Universtiy. Prior to TUM, I received my Ph.D. in the GIScience research group at the Institute of Geography in Heidelberg University, Germany. I got my MS.c degree from University of Stuttgart, Germany, where I was major in Geomatics engineering. Before came to Germany, I got my double BS.c degrees in both Geographical Information Systems and Computer Science at Wuhan University, China.
Besides research, I enjoy basketball, cylcing, and running. In addition, I’m also a big fan of cooking for my family, just cannot stop trying all differents delicious cuisines.
Special Issues and Workshops
- Urban AI for a Sustainable Built Environment, special issue in Environment and Planning B: Urban Analytics and City Science. DDL: 1 December, 2024. Submission link
- Advances in AI-Driven Geospatial Analysis and Data Generation, special issue in ISPRS International Journal of Geo-Information. DDL: 31 August 2024. Submission link
- Geosearch 2024 , workshop orgnaized in the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024). DDL: 31 August 2024. Submission link
Research Interests
- volunteered geographic information
- geospatial machine learning
- multi-sensor data fusion
- geo-semantics
- intelligent urban mobility
- remote sensing
Invited Talks
- Deep Learning from Volunteered Geographical Information and Heterogeneous Geospatial Data, Department of Geography and Resource Managemen, the Chinese University of Hong Kong (CUHK), September, 2023.
- A Conceptual Model for Converting OpenStreetMap Contribution to Geospatial Machine Learning Training Data, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), May, 2022
- Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap, the Urban Analytics Lab seminar series, National University of Singapore (NUS), April 2022.
- Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap, the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (LIESMARS), April 2022.
- Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap, College of Surverying and Geo-infromatics, Tongji University, November 2021.
Awards
Project
- Principle Investigator, HDF4Water: Hierarchical Data Format for Water-related Big Geodata, funded by the NFDI4Earth consortium, from July, 2022 to Dec, 2022.
- Co- Principle Investigator, Coding4Geo: An open-access and interactive coding platform to facilitate E-Teaching in Geospatial Data Analysis, funded by the NFDI4Earth consortium, from Oct, 2022 to Feb, 2023.
- Principle Staff Researcher, GeoAI4Water - Methods for Prediction and Mapping of Water-Related Infrastructure from Heterogeneous Geodata Sources, funded by Anonymous Industrial Partner, from July 2019 to June 2022.
- Staff Researcher, DeepVGI – Deep Learning with Volunteered Geographic Information, funded by Klaus Tschira Stiftung.
Teaching
- Principles of Spatial Data Mining and Machine Learning, Lecture & Excercise (3 SWS), WS2022, WS2023, Technical University of Munich
- Selected Topic in Big Geospatial Data, Lecture & Seminar (3 SWS), SS2022, WS2023, Technical University of Munich
- Research Seminar Big Geospatial Data, Seminar (2 SWS), WS 2022, Technical University of Munich
- Geographical Analysis of Social Media Data (GASMD), Seminar & Lab (2 SWS), WS2021, Heidelberg University.
- Machine Learning for Geographic Applications, Seminar & Lab (2 SWS), SS 2021, Heidelberg University.
- Machine Learning for Geographic Applications, Seminar & Lab (2 SWS), SS 2020, Heidelberg University.
Internaltional Conference
- Workshop Chair, GeoSearch 2023: the 2nd ACM SIGSPATIAL International Workshop On Searching and Mining Large Collections of Geospatial Data, ACM SIGSPATIAL 2023 in Hamburg, Germany
- Academic Committee, OSMScience 2023, State of the Map EU 2023
- Workshop Chair, GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours, ISPRS Geospatial Week 2023 in Cairo, Agypt
- PC member, The 1st International Workshop on Geographic Information Extraction from Texts (GeoExT), ECIR 2023 in Dublin, April 2, 2023
- Academic Committee, Academic Track, State of the Map 2022
- PC member, The 3rd Data-driven Humanitarian Mapping workshop, ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022
- PC member, The 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI), ACM SIGSPATIAL Conference in Seattle 2022
Scientific Reviewing
- ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier
- Annals of the American Association of Geographers, Taylor & Francis
- International Journal of Geographical Information Science, Taylor & Francis
- Remote Sensing of Environment, Elsevier
- Transactions in GIS, John Wiley & Sons, Inc
- The Professional Geographer, Taylor & Francis
- IEEE Transaction on Geoscience and Remote Sensing (TGRS), IEEE
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), IEEE
- IEEE Geoscience and Remote Sensing Letters, IEEE
- International Journal of Applied Earth Observation and Geoinformation, Elsevier
- International Journal of Digital Earth, Taylor & Francis
- ISPRS International Journal of Geo-Information, MDPI
- Remote Sensing, MDPI
- Arabian Journal of Geosciences, Springer
- Information Processing and Management, Elsevier
Memberships
- IEEE Geoscience and Remote Sensing Society (GRSS) Member
- ACM SIGSPATIAL Member
- American Association of Geographers (AAG) Member
