FH-Prof. Dr. Hsiang-Yun Wu
- Hochschul-Dozentin
- Department Medien und Digitale Technologien
Studiengänge
- Creative Computing (BA)
- Digital Healthcare (MA)
Departments
- Medien und Digitale Technologien
Publikationen
Stoiber, C., Filipov, V., Boucher, M., de Jesus Oliveira, V. A., Wu, H.-Y., Raidou, R. G., Amabili, L., Keck, M., & Kriglstein, S. (2026). VisGames 2: Workshop on Visualization Play, Games, and Activities. EuroVis Workshop. Eurographics Conference on Visualization (EuroVis), Nottingham, United Kingdom.
Ehlers, H., Pahr, D., Di Bartolomeo, S., Filipov, V., Wu, H.-Y., & Raidou, R. G. (2025). Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness. Computers & Graphics, 131, 104290. https://doi.org/10.1016/j.cag.2025.104290
Pahr, D., Piovarči, M., Wu, H.-Y., & Raidou, R. G. (2025). Squishicalization: Exploring Elastic Volume Physicalization. IEEE Transactions on Visualization and Computer Graphics, 31(9), 6437–6450. https://doi.org/10.1109/TVCG.2024.3516481
Ehlers, H., Brich, N., Krone, M., Nöllenburg, M., Yu, J., Natsukawa, H., Yuan, X., & Wu, H.-Y. (2025). An introduction to and survey of biological network visualization. Computers & Graphics, 126, 104115. https://doi.org/10.1016/j.cag.2024.104115
Pahr, D., Di Bartolomeo, S., Ehlers, H., Filipov, V., Stoiber, C., Aigner, W., Wu, H.-Y., & Raidou, R. (2025). NODKANT: Exploring Constructive Network Physicalization. Computer Graphics Forum, 44, e70140. https://doi.org/10.1111/cgf.70140
Ehlers, H., Pahr, D., Filipov, V., Wu, H.-Y., & Raidou, R. G. (2024). Me! Me! Me! Me! A study and comparison of ego network representations. Computers & Graphics, 125, 104123. https://doi.org/10.1016/j.cag.2024.104123
Dong, J., Zhang, H., Cui, M., Lin, Y., Wu, H.-Y., & Bi, C. (2024). TCEVis: Visual analytics of traffic congestion influencing factors based on explainable machine learning. Visual Informatics, 8(1), 56–66. https://doi.org/10.1016/j.visinf.2023.11.003
Ehlers, H., Marin, D., Wu, H.-Y., & Raidou, R. (2024). Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 697–708. https://doi.org/10.5220/0012431200003660
Boucher, M., Stoiber, C., Boucher, A., Wu, H.-Y., Aigner, W., & De Jesus Oliveira, V. A. (2024). Comixplain: Comics on Visualization Foundations in Higher Education. Poster at IEEE Visualization and Visual Analytics (VIS 2024).
Ehlers, H., Villedieu, A., Raidou, R. G., & Wu, H.-Y. (2023). Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting. Computers & Graphics, 116, 448–463. https://doi.org/10.1016/j.cag.2023.09.010
Bhore, S., Li, G., Nöllenburg, M., Rutter, I., & Wu, H.-Y. (2023). Untangling circular drawings: Algorithms and complexity. Computational Geometry, 111, 101975. https://doi.org/10.1016/j.comgeo.2022.101975
Nöllenburg, M., Sorge, M., Terziadis, S., Villedieu, A., Wu, H.-Y., & Wulms, J. (2023). Planarizing Graphs and Their Drawings by Vertex Splitting. In P. Angelini & R. Von Hanxleden (Eds.), Graph Drawing and Network Visualization (Vol. 13764, pp. 232–246). Springer International Publishing. https://doi.org/10.1007/978-3-031-22203-0_17
Miller, J., Ghoniem, M., Wu, H.-Y., & Purchase, H. C. (2023). On the Perception of Small Sub-graphs. In M. A. Bekos & M. Chimani (Eds.), Graph Drawing and Network Visualization (Vol. 14465, pp. 213–230). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49272-3_15
Rind, A., Aigner, W., Böck, J., Grassinger, F., Oliveira, V. A. de. J., Wu, H.-Y., & Zauchinger, M. (2022, September 30). Daten erlebbar machen: Wie Daten sichtbar, hörbar und greifbar werden [Demo & Poster]. European Researchers" Night 2022, St. Pölten.
Wu, H.-Y. (2022, July 4). Map the Knowledge for Human-Data Communication. Summer School of Zhejiang University.