Liping's Publications

(Google Scholar Profile)


Refereed research papers

  1. Yang, L., Oyen, D., and Wohlberg, B. A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis. In CVPR 2019 Workshop on Deep Learning for Geometric Shape Understanding. June 2019.
  2. Yang, L., Cervone, G.. Analysis of remote sensing imagery for disaster assessment using deep learning: a case study of flooding event. Soft Computing, 2019. (https://doi.org/10.1007/s00500-019-03878-8)
  3. Yang, N., MacEachren, A. M., and Yang, L. TIN-based tag map layout. The Cartographic Journal, 2019. (https://doi.org/10.1080/00087041.2018.1533294)
  4. Yang, L., MacEachren, A. M., Mitra, P., and Onorati, T. Visually-enabled active deep learning for (geo) text and image classification: a review. ISPRS International Journal of Geo-Information, 7(2), 65, 2018. [Click here (pdf) to download a draft of this paper]
  5. Pan, Y., Zhang, X., Cervone, G., and Yang, L. Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (99): 3701 - 3712, 2018.
  6. MacEachren, A. M., Caneba, R., Chen, H., Cole, H., Domanico, E., Triozzi, N., Xu, F., and Yang, L. Is This Statement About A Place? Comparing two perspectives (Short Paper).. In LIPIcs-Leibniz International Proceedings in Informatics (Vol. 114). Schloss DagstuhlLeibniz-Zentrum fuer Informatik, 2018.
  7. Yang, L. and Worboys, M. Generation of navigation graphs for indoor space. International Journal of Geographical Information Science, 29(10): 1737-1756, 2015. [Click here (pdf) to download a draft of this paper]
  8. Yang, L. and Worboys, M. A navigation ontology for outdoor-indoor space. Third ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness (ISA 2011), November, Chicago, IL. 2011. [Click here (pdf) to download a draft of this paper]
  9. Ma, J., Lin, G., Chen, J. and Yang, L. An improved topographic wetness index considering topographic position. Geoinformatics, 18th International Conference. IEEE, 2010.
  10. Lin, L., Lin, G., Yan, X., Yang, L., Yang, Z. and Chen, A. Surface modeling of human population on subdistrict scale using SPOT5 image and census data: A case study of Xiamen, PR China. Geoinformatics, 18th International Conference. IEEE, 2010.
  11. Yang, L., Lin, G., Chen, A., Chen, Y., and Wen, X. A spatio-temporal data model for administrative division place names: A case study of Xiamen . Proceedings of the 6th International Symposium on Digital Earth (ISDE6): Digital Earth in Action, Beijing, China, September 9-12, 2009. [Click here (pdf) to download a draft of this paper]
  12. Yang, L., Lin, G. and Chen, Y. Color processing methods of different seasonal SPOT5 images before mosaic. Remote Sensing Technology and Application, 24(2):140-145, 2009. (in Chinese)
  13. You, L., Lin, G., Yang, C., Lin, Q. and Yang, L. The effects of spatial scales on landscape indices — a case study of the landuse pattern of Xiamen island. Geo-Information Science, 10(1): 74-79, 2008. (in Chinese)
  14. Jiao, Y. and Yang, L. Multi-scale research on the fractal beauty of Hani terrace based on remote sensing and geographic information system. Journal of Mountain Science, 26(3): 339-346, 2008. (in Chinese)
  15. Jiao, Y. and Yang, L. The fractal characteristics of Hani terrace in Ailao mountain. Acta Ecologica Sinica, 27(11): 4583-4589, 2007. (in Chinese)

Invited talks

  1. Enhancing GIScience and Remote Sensing Using GeoAI, Research Computing Center & Mansueto Institute for Urban Innovation, The University of Chicago, Chicago, IL, July 2018.
  2. Introduction to Deep Learning with TensorFlow (with hands-on tutorial: using TensorFlow for image classification on NCAR HPC cluster), NCAR SEA Class and Hands-on Workshop: Spark and TensorFlow, NCAR (National Center for Atmospheric Research), Boulder, CO. June 2017.
  3. What is Deep learning, the Geospatial Data Science Workshop (GDS 2017) at Pennsylvania State University, University Park, PA. February 2017.

Posters, short papers, and talks (not included above)

  1. Yang, L., Cervone, G., MacEachren, A. M., Mitra, P., and Baka J. Visually-enabled Image and Text Analysis Using Machine Learning and Deep Learning. Poster presentation at the Penn State ICS Symposium 2018: Harnessing the Power of Data. Penn State University, University Park, PA. March 2018.
  2. Yang, L. A unified OI-space navigation model supporting seamless navigation between and within built indoor and outdoor spaces. Doctoral colloquium talk given at the Conference on Spatial Information Theory (COSIT 2013), September, Scarborough, UK. 2013.
  3. Yang, L. A navigation ontology for outdoor-indoor space. Poster presentation at the UMaine Graduate Expo, April 2012, University of Maine.
  4. Yang, L. and Worboys, M. Similarities and differences between outdoor and indoor space from the perspective of navigation. Poster presentation at the Conference on Spatial Information Theory (COSIT 2011), September, Belfast, ME. 2011. ( extended abstract, poster)
  5. Yang, L. A unified informatic framework supporting seamless navigation within built indoor and outdoor spaces. Doctoral colloquium talk given at the Conference on Spatial Information Theory (COSIT 2011), September, Belfast, ME. 2011.

Theses