Ming Li

Im Neuenheimer Feld 348
69120 Heidelberg

Fax: +49 6221 54-4529

Consultation Hours
Consultation Hours

Dr. Ming Li

Research Interests
  • location-based social networks (LBSN)
  • data mining
  • machine learning
  • geo-spatial analysis
  • context aware mobile application
  • geovisualization
Education background
  • 10/2011 – 04/2017: PhD student in GIScience/Geoinformatics Research Group, Heidelberg University, Germany
  • 09/2009 – 06/2011: Master student in School of Geodesy and Geomatics, Wuhan University, China
  • 09/2005 – 06/2009: Bachelor student in School of Geodesy and Geomatics, Wuhan University, China

Li, M., Westerholt, R., Fan, H., Zipf, A. (2016): Assessing spatiotemporal predictability of LBSN: A case study of three Foursquare datasets. GeoInformatica. Volume and issue pending. DOI:10.1007/s10707-016-0279-5.

Li, M., Sagl, G., Mburu, L., Fan, H. (2016): A contextualized and personalized model to predict user interest using location-based social networks. Computers, Environment and Urban Systems. Vol. 58, July 2016, pp. 97–106, doi:10.1016/j.compenvurbsys.2016.03.006.

Sun, Y., Li, M. (2015): Investigation of Travel and Activity Patterns Using Location-based Social Network Data: A Case Study of Active Mobile Social Media Users. ISPRS International Journal of Geo-Information. Vol. 4(3), pp. 1512-1529, doi:10.3390/ijgi4031512.

Li, M., Sun, Y. & Fan, H. (2015): Contextualized Relevance Evaluation of Geographic Information for Mobile Users in Location-Based Social Networks. ISPRS International Journal of Geo-Information. Vol. 4(2), pp. 799-814; doi:10.3390/ijgi4020799

Sun, Y., Fan, H., Li, M., & Zipf, A. (2015): Identifying city center using human travel flows generated from location-based social networking data. Environment and Planning B: Planning and Design. (accepted)

Li, M., M. Bakillah, & A. Zipf (2013): Embedding context-awareness to improve 3D geo-visualization for mobile users. gis.SCIENCE. Vol. 26(3), pp. 81-86.

Li, M., Goetz, M., Fan, H., & Zipf, A. (2013). Adapting OSM-3D to the Mobile World: Challenges and Potentials. In J. M. Krisp (Ed.), Progress in Location-Based Services (pp. 471–489). Springer Berlin Heidelberg.

Uden, M., Schilling, A., Li, M., Goetz, M., & Zipf, A. (2012). Creating a worldwide 3D globe from user-generated data. DGFK Workshop on “Map creation from user generated data”. Hannover, Germany.

Editor: Webmaster Team
Latest Revision: 2022-07-01
zum Seitenanfang/up