Journal Articles

Zhang, T., Wang, J., Wang, T., Pang, Y., Wang, P., & Wang, W. (2024). A deep marked graph process model for citywide traffic congestion forecasting. Computer-Aided Civil and Infrastructure Engineering, 39(8), 1180–1196. https://doi.org/10.1111/mice.13131 ( reposiTUm)
He, Z., Zhang, T., Wang, W., & Li, J. (2024). A deep pedestrian trajectory generator for complex indoor environments. Transactions in GIS, 28(2), 411–432. https://doi.org/10.1111/tgis.13143 ( reposiTUm)
Griffin, A. L., Reichenbacher, T., Liao, H., Wang, W., & Yinghui Cao. (2024). Cognitive issues of mobile map design and use. Journal of Location Based Services. https://doi.org/10.1080/17489725.2024.2371288 ( reposiTUm)
Zhang, T., Liu, R., Wang, P., Gao, C., LIiu, J., & Wang, W. (2023). Physics-informed Machine Learning and Its Research Prospects in GeoAI. Journal of Geo-Information Science, 25(7), 1297–1311. https://doi.org/10.12082/dqxxkx.2023.220795 ( reposiTUm)
Wang, P., Zhang, T., Zhang, H., Cheng, S., & Wang, W. (2023). Adding attention to the neural ordinary differential equation for spatio-temporal prediction. International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2023.2275160 ( reposiTUm)
Duan, X., Zhang, T., Xu, Z., Wan, Q., Yan, J., Wang, W., & Tian, Y. (2023). Discovering urban mobility structure: a spatio-temporal representational learning approach. International Journal of Digital Earth, 16(2), 4044–4072. https://doi.org/10.1080/17538947.2023.2261769 ( reposiTUm)
Li, Y., Zhang, T., Lv, X., & Wang, W. (2023). Profiling Public Transit Passenger Mobility Using Adversarial Learning. ISPRS International Journal of Geo-Information, 12(8), Article 338. https://doi.org/10.3390/ijgi12080338 ( reposiTUm)

Conference Proceedings Contributions

Wang, W., Huang, H., & Gartner, G. (2024). Supporting Spatial Learning with the Indoor Sign InteGrated Navigation System. In European Cartographic Conference – EuroCarto 2024. European Cartographic Conference – EuroCarto 2024, Wien, Austria. https://doi.org/10.5194/ica-abs-7-183-2024 ( reposiTUm)
Wang, W., Binn, A., & Gartner, G. (2023). Experiences with distance teaching and learning in cartography – a European perspective. In S. Coetzee (Ed.), 31st International Cartographic Conference (ICC 2023). Copernicus Publications. https://doi.org/10.5194/ica-abs-6-268-2023 ( reposiTUm)
Ali, H., & Wang, W. (2023). A novel indoor trajectory pattern mining framework. In S. Coetzee (Ed.), 31st International Cartographic Conference (ICC 2023). Copernicus Publications. https://doi.org/10.5194/ica-abs-6-7-2023 ( reposiTUm)
Griffin, A. L., Reichenbacher, T., Liao, H., Wang, W., & Yinghui Cao. (2023). Cognitive issues of mobile map design and use: a collaborative research agenda. In S. Coetzee (Ed.), 31st International Cartographic Conference (ICC 2023). Copernicus Publications. https://doi.org/10.5194/ica-abs-6-79-2023 ( reposiTUm)
Gartner, G., Binn, A., Gabela, J., Retscher, G., Gikas, V., Schmidt, M., & Wang, W. (2022). From project-based to problem-based learning in engineering disciplines: enhancing Cartography and Geomatics education. In 8th International Conference on Higher Education Advances (HEAd’22). 8th International Conference on Higher Education Advances (HEAd´22), Valencia, Spain. https://doi.org/10.4995/head22.2022.14473 ( reposiTUm)
Wang, W., Huang, H., & Gartner, G. (2021). Can indoor navigation service incorporating signs support spatial learning? In P. Zamperlin, A. Cantile, & M. Milli (Eds.), Abstracts of the ICA (pp. 1–2). https://doi.org/10.5194/ica-abs-3-312-2021 ( reposiTUm)
Wang, W., Klettner, S., Gartner, G., Fian, T., Hauger, G., Angelini, A. E. N., Söllner, M., Florack, A., Skok, M., & Past, M. (2019). Towards a User-Oriented Indoor Navigation System in Railway Stations. In LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng. Wien. https://doi.org/10.34726/lbs2019.58 ( reposiTUm)
Wang, W., Huang, H., Lyu, H., & Gartner, G. (2019). Incorporating directional signs into indoor navigation systems. In Abstracts of the ICA (pp. 1–2). https://doi.org/10.5194/ica-abs-1-394-2019 ( reposiTUm)
Lyu, H., & Wang, W. (2019). Understanding landmark types in human navigation from a database perspective. In Abstracts of the ICA (pp. 1–2). https://doi.org/10.5194/ica-abs-1-232-2019 ( reposiTUm)
Wang, W., Huang, H., & Gartner, G. (2018). Considering Existing Indoor Navigational Aids in Navigation Services. In P. Fogliaroni, A. Ballatore, & E. Clementini (Eds.), Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) (pp. 179–189). Springer. https://doi.org/10.1007/978-3-319-63946-8_33 ( reposiTUm)
Wang, W., & Gartner, G. (2018). Integrating Existing Indoor Navigational Aids into Data Modelling and Route Planning. In P. Kiefer, H. Huang, N. van de Weghe, & M. Raubal (Eds.), Adjunct Proceedings of the 14th International Conference on Location Based Services (p. 5). http://hdl.handle.net/20.500.12708/43800 ( reposiTUm)

Presentations

Wang, W., Huang, H., & Gartner, G. (2024, June 26). Enhancing spatial learning during navigation by integrating signs into indoor navigation services [Conference Presentation]. Spatial Cognition Conference 2024, Dublin, Ireland. ( reposiTUm)
Gartner, G., & Wang, W. (2021). Experiences of a Pandemic Affected International M.Sc. Semester. Pre-ICC2021 CET workshop “Challenges and Opportunities of Cartography and GIS Education: in the Classroom and in the Cloud,” Beijing, China, China. http://hdl.handle.net/20.500.12708/84024 ( reposiTUm)
Wang, W., & Gartner, G. (2019). Towards a Functional Ontology for Mobile Map Applications. ICA Workshop “User Experience Design for Mobile Cartography: Setting the Agenda,” Beijing, China. http://hdl.handle.net/20.500.12708/83809 ( reposiTUm)

Theses

Wang, W. (2023). Please follow the signs: : Considering existing navigational aids in indoor navigation services [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.37191 ( reposiTUm)
Wang, W. (2014). Modeling individual’s familiarity of places using social media [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.21526 ( reposiTUm)