Hsiang-Yun Wu

I am a visualization researcher and lecturer.

International Journal Publications (Peer-Reviewed)

Image Publication Links
Henry Ehlers, Daniel Pahr, Sara di Bartolomeo, Velitchko Filipov, Hsiang-Yun Wu, and Renata G. Raidou. Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness, Computers & Graphics, Vol. 131, 2025. [DOI]
Daniel Pahr, Sara Di Bartolomeo, Henry Ehlers, Velitchko Filipov, Christina Stoiber, Wolfgang Aigner, Hsiang-Yun Wu, and Renata G. Raidou. NODKANT: Exploring Constructive Network Physicalization, Computer Graphics Forum (Proceedings of EuroVis 2025),e70140, 2025. [DOI] [Preprint]
Henry Ehlers, Nicolas Brich, Michael Krone, Martin Nöllenburg, Jiacheng Yu, Hiroaki Natsukawa, Xiaoru Yuan, and Hsiang-Yun Wu. An introduction to and survey of biological network visualization, Computers & Graphics, Vol. 126, pp. 104115, 2025. [DOI] [Preprint]
Daniel Pahr, Michal Piovarči, Hsiang-Yun Wu, and Renata G. Raidou. Squishicalization: Exploring Elastic Volume Physicalization, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024. [DOI] [Preprint]
Henry Ehlers, Velitchko Filipov, Daniel Pahr, Hsiang-Yun Wu, and Renata G. Raidou. Me! Me! Me! Me! A study and comparison of ego network representations, Computers & Graphics, Vol. 125, pp. 104123, 2024. [DOI] [Preprint]
Daniel Pahr, Henry Ehlers, Hsiang-Yun Wu, Manuela Waldner, and Renata G. Raidou. Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes, Computer Graphics Forum (Proceedings of EuroVis 2024), Vol. 43:e15106, No. 3, 2024. [DOI] [Preprint1] [Preprint2] [Video]
Henry Ehlers, AnaÏs Villedieu, Renata G. Raidou, and Hsiang-Yun Wu. Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting, Computers & Graphics, Vol. 116, pp. 448-463, 2023. [DOI] [Preprint]
Jialu Dong, Huijie Zhang, Meiqi Cui, Yiming Lin, Hsiang-Yun Wu, and Chongke Bi. TCEVis: Visual analytics of traffic congestion influencing factors based on explainable machine learning, Visual Informatics, 2023. [DOI] [Preprint]
Wei-Ting Chen, Hsiang-Yun Wu, Yun-An Shih, Chih-Chuan Wang, and Yu-Shuen Wang. Exploration of Player Behaviours from Broadcast Badminton Videos, Computer Graphics Forum, Vol. 42, No. 6, pp. 1-15, 2023. [DOI] [Preprint]
Sujoy Bhore, Guangping Li, Martin Nöllenburg, Ignaz Rutter, and Hsiang-Yun Wu. Untangling circular drawings: Algorithms and complexity, Computational Geometry, Vol. 111, 2023. [DOI] [Preprint]
Tobias Batik, Soeren Terziadis, Yu-Shuen Wang, Martin Nöllenburg, and Hsiang-Yun Wu. Shape-Guided Mixed Metro Map Layout, Computer Graphics Forum (Proceedings of Pacific Graphics 2022), 2022. [DOI] [Preprint1] [Preprint2] [Material]
Florian Ganglberger, Monika Wißmann, Hsiang-Yun Wu, Nicolas Swoboda, Andreas Thum, Wulf Haubensak, Katja Bühler. Spatial-data-driven Layouting for Brain Network Visualization, Computers & Graphics, Vol. 105, pp. 12-24, 2022. [DOI] [Preprint] [Video]
Marwin Schindler, Thorsten Korpitsch, Renata G. Raidou, and Hsiang-Yun Wu. Nested Papercrafts for Anatomical and Biological Edutainment, Computer Graphics Forum (Proceedings of EuroVis 2022), Vol. 41, No. 3, pp. 541-553, 2022. [DOI] [Preprint1] [Preprint2] [Video] [Video] [Material]
Hsiang-Yun Wu, Aleksandr Amirkhanov, Nicolas Grossmann, Tobias Klein, David Kouřil, Haichao Miao, Laura R. Luidolt, Peter Mindek, Renata G. Raidou, Ivan Viola, Manuela Waldner, and Eduard Gröller. Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt, Journal of Visual Informatics, Vol. 5, No. 1, pp. 76-84, 2021. [DOI] [Preprint]
Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, and The other Dagstuhl Seminar participants. The Future is Big Graphs! A Community View on Graph Processing Systems, Communications of the ACM (CACM), Vol. 64, No. 9, pp. 62-71,, 2021.
[Selected cover page of the journal]		 [DOI] [Preprint1] [Preprint2] [Video]
Hsiang-Yun Wu, Martin Nöllenburg, and Ivan Viola. Multi-level Area Balancing of Clustered Graphs, IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 28, No. 7, pp. 2682-2696, 2022. [DOI] [Preprint] [Material] [Video] [Video]
Ladislav Čmolík, Václav Pavlovec, Hsiang-Yun Wu, and Martin Nöllenburg. Mixed Labeling: Integrating Internal and External Labels, IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 28, No. 4, pp. 1848-1861, 2022. [DOI] [Preprint] [Material] [Video] [Video]
Renata Raidou, Eduard Gröller, and Hsiang-Yun Wu. Slice and Dice: A Physicalization Workflow for Anatomical Edutainment, Computer Graphics Forum (Proceedings of Pacific Graphics 2020), Vol. 39, No. 7, pp. 623-634, 2020. [DOI] [Preprint1] [Preprint2] [Material] [Video] [Video]
Hsiang-Yun Wu, Benjamin Niedermann, Shigeo Takahashi, Maxwell J. Roberts, and Martin Nöllenburg. A Survey on Transit Map Layout from Design, Machine, and Human Perspectives, Computer Graphics Forum (Proceedings of EuroVis 2020 - STAR Track), Vol. 39, No. 3, pp. 619-646, 2020. [DOI] [Project] [Preprint] [Material]
Thorsten Korpitsch, Shigeo Takahashi, Eduard Gröller, and Hsiang-Yun Wu. Simulated Annealing to Unfold 3D Meshes and Assign Glue Tabs, Journal of WSCG, Vol. 28, No. 1-2, pp. 47-56, 2020. [DOI] [Preprint] [Video] [Video]
Shigeo Takahashi, Ken Maruyama, Takamasa Kawagoe, Hsiang-Yun Wu, Kazuo Misue, and Masatoshi Arikawa. Mental Map Preservation for Progressively Labeling Railway Networks, International Journal of Art, Culture and Design Technologies (IJACDT), Vol. 8, No. 1, pp. 31-50, 2019. [DOI] [Preprint] [Video] [Video]
Kazuyo Mizuno, Hsiang-Yun Wu, Shigeo Takahashi, and Takeo Igarashi. Optimizing Stepwise Animation in Dynamic Set Diagrams, Computer Graphics Forum (Proceedings of EuroVis 2019), Vol. 38, No. 3, pp. 13-24, 2019.
[Best Paper Honorable Mention at EuroVis 2019]		 [DOI] [Preprint] [Materia] [Video] [Video]
Hsiang-Yun Wu, Martin Nöllenburg, Filipa L. Sousa, and Ivan Viola, Metabopolis: Scalable Network Layout for Biological Pathway Diagrams in Urban Map Style, BMC Bioinformatics, Vol. 20, No. 1, p. 187, 2019. [DOI] [Preprint] [Video] [Video]
Vahan Yoghourdjian, Daniel Archambault, Stephan Diehl, Tim Dwyer, Karsten Klein, Helen C. Purchase, Hsiang-Yun Wu, Exploring the limits of complexity: A survey of empirical studies on graph visualisation, Visual Informatics, Vol. 2, No. 4, 2019. [DOI] [Preprint]
David Kouřil, Ladislav Čmolík, Barbora Kozlikova, Hsiang-Yun Wu, Graham Johnson, David Goodsell, Arthur Olson, Meister Eduard Göller, Ivan Vioa. Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments, IEEE Transactions on Visualization and Computer Graphics, Vol. 25, No. 1, 2019.
[Best Paper Honorable Mention at IEEE VIS 2018]		 [Project] [DOI] [Preprint] [Video] [Video]
Byoungkwon An, Ye Tao, Jianzhe Gu, Tingyu Cheng, Xiang ‘Anthony’ Chen, Xiaoxiao Zhang, Wei Zhao, Youngwook Do, Shigeo Takahashi, Hsiang-Yun Wu, Teng Zhang, Lining Yao. Thermorph: Democratizing 4D Printing of Self-Folding Materials and Interfaces, in Proceedings of CHI 2018, pp. 260:1-260:12, 2018. [DOI] [Preprint] [Video] [Video]
Hsiang-Yun Wu, Shigeo Takahashi, Rie Ishida. Overlap-Free Labeling of Clustered Networks Based on Voronoi Tessellation, Journal of Visual Languages & Computing, pp. 106-119, Vol. 44, 2018. [DOI] [Preprint]
Makoto Uemura, Ryosuke Itoh, Ioannis Liodakis, Dmitry Blinov, Masanori Nakayama, Longyin Xu, Naoko Sawada, Hsiang-Yun Wu, Issei Fujishiro. Optical polarization variations in the blazar PKS 1749+096, Publications of the Astronomical Society of Japan (PASJ), pp. 96, Vol. 69, No. 6, 2017. [DOI] [Preprint]
Hsiang-Yun Wu, Shigeo Takahashi, Hiroko Nakamura Miyamura, Satoshi Ohzahata, Akihiro Nakao. Inferring Partial Orders of Nodes for Hierarchical Network Layout, Journal of Imaging Science and Technology, pp. 60407-1-60407-13(13), Vol. 60, No. 6, 2016. [DOI] [Preprint]
Makoto Uemura, Ryosuke Itoh, Longyin Xu, Masanori Nakayama, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, and Issei Fujishiro. TimeTubes: Visualization of Polarization Variations in Blazars, Galaxies, pp. 23, Vol. 4, No. 3, 2016. [DOI] [Preprint]
Daisuke Sakurai, Osamu Saeki, Hamish Carr, Hsiang-Yun Wu, Takahiro Yamamoto, David Duke, and Shigeo Takahashi. Interactive Visualization for Singular Fibers of Functions ƒ : ℜ³ → ℜ², IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 22, No. 1, 2016. [DOI] [Preprint] [Video] [Video]
Hsiang-Yun Wu, Shigeo Takahashi, Daichi Hirono, Masatoshi Arikawa, Chun-Cheng Lin, and Hsu-Chun Yen. Spatially Efficient Design of Annotated Metro Maps, Computer Graphics Forum (Proceedings of EuroVis 2013), Vol. 32, No. 3, pp. 261-270, 2013. [Project] [DOI] [Preprint] [Video] [Video]
Hsiang-Yun Wu, Shigeo Takahashi, Chun-Cheng Lin, and Hsu-Chun Yen. Travel-Route-Centered Metro Map Layout and Annotation, Computer Graphics Forum (Proceedings of EuroVis 2012), Vol. 31, No. 3, pp. 925-934, 2012. [Project] [DOI] [Preprint] [Video] [Video]
Shigeo Takahashi, Hsiang-Yun Wu, Seow Hui Saw, Chun-Cheng Lin, and Hsu-Chun Yen. Optimized Topological Surgery for Unfolding 3D Meshes, Computer Graphics Forum (Proceedings of Pacific Graphics 2011), Vol. 30, No. 7, pp. 2077-2086, 2011. [Project] [DOI] [Preprint] [Video] [Video]

International Conference Publications (Peer-Reviewed)

Image Publication Links
Henry Ehlers, Diana Marin, Hsiang-Yun Wu, and Renata G. Raidou. Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities, in Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (IVAPP2024), 2024. [DOI] [Preprint]
Jacob Miller, Mohammad Ghoniem, Hsiang-Yun Wu, and Helen C. Purchase. On the Perception of Small Sub-graphs, in Proceedings of the 31th International Symposium on Graph Drawing and Network Visualization (GD2023), 2023. [DOI] [Preprint] [Preprint2]
Martin Nöllenburg, Manuel Sorge, Soeren Terziadis, AnaÏs Villedieu, Hsiang-Yun Wu, and Jules Wulms. Planarizing Graphs and their Drawings by Vertex Splitting, in Proceedings of the 30th International Symposium on Graph Drawing and Network Visualization (GD2022), 2022. [DOI] [Preprint] [Preprint2]
Sujoy Bhore, Guangping Li, Martin Nöllenburg, Ignaz Rutter, and Hsiang-Yun Wu. Untangling Circular Drawings: Algorithms and Complexity, in Proceedings of the 32nd International Symposium on Algorithms and Computation (ISAAC 2021), 2021. [DOI] [Preprint] [Preprint2]
Daniel Pahr, Hsiang-Yun Wu, and Renata Raidou. Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization, in Proceedings of the 11th Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2021), 2021. [DOI] [Preprint] [Video]
Thomas Köppel, Eduard Gröller, and Hsiang-Yun Wu. Context-Responsive Labeling in Augmented Reality, in Proceedings of the 14th IEEE Pacific Visualization Symposium (PacificVis2021), 2021. [DOI] [Preprint] [Video] [Video]
Marwin Schindler, Hsiang-Yun Wu, and Renata Raidou. The Anatomical Edutainer, in Proceedings of IEEE Visualization Short Paper Track (Vis 2020), 2020.
[Best Short Paper Award at IEEE Vis 2020]		 [DOI] [Preprint1] [Preprint2] [Material] [Presentation] [Video] [Video]
Helen Purchase, Daniel Archambault, Stephen Kobourov, Martin Nöllenburg, Sergey Pupyrev, and Hsiang-Yun Wu. The Turing Test for Graph Drawing Algorithms, in Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD2020), 2020. [DOI] [Preprint1] [Preprint2]
Narumi Kuroko, Hayato Ohya, Takayuki Itoh, Nicolas Grossman, and Hsiang-Yun Wu. Visualization of Correlations Between Places of Music Listening and Acoustic Features, in Proceedings of the 24th International Conference on Information Visualisation (iV2020), 2020. [DOI] [Preprint]
Akari Iijima, Takayuki Itoh, Hsiang-Yun Wu, and Nicolas Grossmann. Visualization of Semantic Differential Studies with a Large Number of Images, Participants and Attributes, in Proceedings of the 24th International Conference on Information Visualisation (iV2020), 2020. [DOI] [Preprint]
Maximilian Sbardellati, Haichao Miao, Hsiang-Yun Wu, Eduard Gröller, Ivan Barisic, Ivan Viola. Interactive Exploded Views for Molecular Structures, in Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2019), 2019. [DOI] [Preprint] [Video] [Video]
Ken Maruyama, Shigeo Takahashi, Hsiang-Yun Wu, Kazuo Misue, and Masatoshi Arikawa. Scale-Aware Cartographic Displacement Based on Constrained Optimization, in Proceedings of the 23th International Conference on Information Visualisation (iV2019), 2019.
[Best Paper Award]		 [DOI] [Preprint]
Yuka Yoshida, Ken Maruyama, Takamasa Kawagoe, Hsiang-Yun Wu, Masatoshi Arikawa, and Shigeo Takahashi. Progressive Annotation of Schematic Railway Maps, in Proceedings of the 22th International Conference on Information Visualisation (iV2018), 2018. [DOI] [Preprint]
Issei Fujishiro, Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, and Makoto Uemura. TimeTubes: Visual Exploration of Observed Blazar Datasets, In Proceedings of the Journal of Physics: Conference Series (HD3-2017), 1036(1), 012011, 2018. [DOI]
Hsiang-Yun Wu, Shigeo Takahashi, Sheung-Hung Poon, and Masatoshi Arikawa. Introducing Leader Lines into Scale-Aware Consistent Labeling, in Proceedings of the Advances in Cartography and GIScience: Selections from the International Cartographic Conference 2017 (ICACI 2017), pp. 117-130, 2017. [DOI] [Preprint]
Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, Issei Fujishiro. TimeTubes: visual fusion and validation for ameliorating uncertainties of blazar datasets from different observatories, in Proceedings of the Computer Graphics International Conference (CGI 2017), pp. 14:1-14:6, 2017. [DOI] [Preprint]
Hsiang-Yun Wu, Shigeo Takahashi, Sheung-Hung Poon, and Masatoshi Arikawa. Scale-Adaptive Placement of Hierarchical Map Labels, in Short Paper Proceedings of the 19th Eurographics Conference on Visualization (EuroVis2017), pp. 1-5, 2017. [DOI] [Video] [Preprint]
Hsiang-Yun Wu, Yusuke Niibe, Kazuho Watanabe, Shigeo Takahashi, Makoto Uemura, and Issei Fujishiro. Making Many-to-Many Parallel Coordinate Plots Scalable by Asymmetric Biclustering, in Notes Proceedings of the 10th IEEE Pacific Visualization Symposium (PacificVis2017), pp. 305-309, 2017. [DOI] [Preprint]
Kouhei Yasuda, Shigeo Takahashi, and Hsiang-Yun Wu. Enhancing Infographics Based on Symmetry Saliency, in Proceedings of the 9th International Symposium on Visual Information Communication and Interaction (VINCI 2016), pp. 35-42, 2016. [DOI] [Preprint] [Video] [Video]
Longyin Xu, Masanori Nakayama, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, Makoto Uemura, and Issei Fujishiro. TimeTubes: Design of a Visualization Tool for Time-Dependent, Multivariate Blazar Datasets, in Proceedings of the NICOGRAPH International 2016, Hangzhou, pp. 15–20, 2016. [DOI] [Preprint]
Rie Ishida, Shigeo Takahashi, and Hsiang-Yun Wu. Adaptive Blending of Multiple Network Layouts for Overlap-Free Labeling, in Proceedings of the 20th International Conference on Information Visualisation (iV2016), pp. 15–20, 2016. [DOI] [Preprint]
Hsiang-Yun Wu. Focus+Context Metro Map Layout and Annotation, in Proceedings of Spring Conference on Computer Graphics (SCCG2016), 2016.
[Best Paper Award][2nd Best Presentation Award]		 [DOI] [Preprint]
Kazuho Watanabe, Hsiang-Yun Wu, Shigeo Takahashi, and Issei Fujishiro. Asymmetric biclustering with constrained von Mises-Fisher models, Journal of Physics: Conference Series (HD3-2015), pp. 012018, Vol. 699, No. 1, 2016. [DOI] [Preprint]
Makoto Uemura, Koji S. Kawabata, Shiro Ikeda, Keiichi Maeda, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, and Issei Fujishiro. Data-driven approach to Type Ia supernovae: variable selection on the peak luminosity and clustering in visual analytics, Journal of Physics: Conference Series (HD3-2015), pp. 012009, Vol. 699, No. 1, 2016. [DOI] [Preprint]
Yuki Ohtaka, Shigeo Takahashi, Hsiang-Yun Wu, and Naoya Ohta. Using Mutual Information for Exploring Optimal Light Source Placements, in Proceedings of the 13th International Symposium on Smart Graphics (SG2015), pp. 155-166, 2015. [DOI] [Preprint]
Fumiya Sato, Hsiang-Yun Wu, Shigeo Takahashi, and Masatoshi Arikawa. Extracting important routes from illustration maps using kernel density estimation, in Proceedings of the 13th International Symposium on Smart Graphics (SG2015), pp. 167-174, 2015.
[Best Short Paper Award]		 [DOI] [Preprint]
Hsiang-Yun Wu, Sheung-Hung Poon, Shigeo Takahashi, Masatoshi Arikawa, Chun-Cheng Lin, and Hsu-Chun Yen. Designing and Annotating Metro Maps with Loop Lines, in Proceedings of the 19th International Conference on Information Visualisation (iV2015), pp. 9–14, 2015. [DOI] [Preprint]
Rie Ishida, Shigeo Takahashi, and Hsiang-Yun Wu. Interactively Uncluttering Node Overlaps for Network Visualization, in Proceedings of the 19th International Conference on Information Visualisation (iV2015), pp. 200–205, 2015. [DOI] [Preprint]
Kazuho Watanabe, Hsiang-Yun Wu, Yusuke Niibe, Shigeo Takahashi, and Issei Fujishiro. Biclustering Multivariate Data for Correlated Subspace Mining, in Proceedings of the 8th IEEE Pacific Visualization Symposium (PacificVis2015), pp. 287-294, 2015. [Project] [DOI] [Preprint] [Video] [Video]
Gao Yi, Hsiang-Yun Wu, Kazuo Misue, Kazuyo Mizuno, and Shigeo Takahashi. Visualizing Bag-of-Features Image Categorization Using Anchored Maps, in Proceedings of the 7th International Symposium on Visual Information Communication and Interaction (VINCI2014), pp. 39-48, 2014. [Project] [DOI] [Preprint] [Video] [Video]
Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, and Issei Fujishiro. Spectral-Based Contractible Parallel Coordinates, in Proceedings of the 18th International Conference on Information Visualisation (IV2014), pp. 7-12, 2014. [Project] [DOI] [Preprint] [Video]
Kazuyo Mizuno, Hsiang-Yun Wu, and Shigeo Takahashi. Manipulating Bilevel Feature Space for Category-Aware Image Exploration, in Proceedings of the 7th IEEE Pacific Visualization Symposium (PacificVis2014), pp. 217-224, 2014. [Project] [DOI] [Preprint] [Video] [Video]
Hsiang-Yun Wu, Shigeo Takahashi, Chun-Cheng Lin, and Hsu-Chun Yen. Voronoi-Based Label Placement for Metro Maps, in Proceedings of the 17th International Conference on Information Visualisation (IV2013), pp. 96–101, 2013. [DOI] [Preprint]
Daichi Hirono, Hsiang-Yun Wu, Masatoshi Arikawa, and Shigeo Takahashi. Constrained Optimization for Disoccluding Geographic Landmarks in 3D Urban Maps, in Proceedings of the 6th IEEE Pacific Visualization Symposium (PacificVis2013), pp. 17-24, 2013. [Project] [DOI] [Preprint] [Video] [Video]
Chun-Cheng Lin, Sheung-Hung Poon, Shigeo Takahashi, Hsiang-Yun Wu, and Hsu-Chun Yen. One-and-a-Half-Side Boundary Labeling, in Proceedings of the 5th International Conference on Combinatorial Optimization and Applications (COCOA2011), pp. 387–398, 2011. [DOI] [Preprint]
Hsiang-Yun Wu, Shigeo Takahashi, Chun-Cheng Lin, and Hsu-Chun Yen. A Zone-Based Approach for Placing Annotation Labels on Metro Maps, in Proceedings of the 11th International Symposium on Smart Graphics (SG2011), Vol. 6815 of Sprinter Lecture Notes in Computer Science (LNCS), pp. 91-102, 2011. [Project] [DOI] [Preprint] [Video] [Video]
Chun-Cheng Lin, Hsiang-Yun Wu, and Hsu-Chun Yen. Boundary Labeling in Text Annotation, in Proceedings of the 13th International Conference on Information Visualisation (iV2009), pp. 110–115, 2009. [DOI] [Preprint]

Editorials, Parts in Books or Collections (Peer-Reviewed)

  • Karsten Klein, Juan F. Sequeda, Hsiang-Yun Wu, and Da Yan. Bringing Graph Databases and Network Visualization Together, Dagstuhl Report, 2022.
    [DOI] [URL]
  • Da Yan, Hong Qin, Hsiang-Yun Wu, and Jake Y. Chen. Editorial: AI-Enabled Data Science for COVID-19, Frontiers, 2021.
    [DOI] [URL]
  • Osamu Saeki, Shigeo Takahashi, Daisuke Sakurai, Hsiang-Yun Wu, Keisuke Kikuchi, Hamish Carr, David Duke, and Takahiro Yamamoto. Visualizing Multivariate Data using Singularity Theory, In The Impact of Applications on Mathematics (Proceedings of Forum Math-for-Industry 2013), pp. 51–65. Springer, 2014.

Position/Workshop Papers (Peer-Reviewed)

Image Publication Links
Sujoy Bhore, Guangping Li, Martin Nöllenburg and, Hsiang-Yun Wu. Untangling Almost Outerplanar Drawings, The 37th International Symposium on Computational Geometry (SoCG) Young Researchers Forum, 2021. [Preprint]
Hsiang-Yun Wu, Martin Nöllenburg, and Ivan Viola. Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges, The 1st Workshop on Multilayer Nets: Challenges in Multilayer Network Visualization and Analysis, 2019. [Preprint]
Hsiang-Yun Wu, Benjamin Niedermann, Shigeo Takahashi, and Martin Nöllenburg. A Survey on Computing Schematic Network Maps: The Challenge to Interactivity, The 2nd Schematic Mapping Workshop, 2019. [Preprint1] [Preprint2]
Fumiya Sato, Hsiang-Yun Wu, Shigeo Takahashi, and Masatoshi Arikawa. Landmark-aware Map Deformation using Graph Drawing Techniques, The International Symposium on Cartography in Internet and Ubiquitous Environments (CIU2015), 2015. [Preprint]

International Posters

  • Tobias Batik, Soeren Nickel, Martin Nöllenburg and Yu-Shuen Wang, and Hsiang-Yun Wu. Mixed Metro Maps with User-Specified Motifs, in Poster Proceedings of the 29th International Symposium on Graph Drawing and Network Visualization, 2021.
    [Preprint1] [Preprint2]
  • Elitza Vasileva and Hsiang-Yun Wu. OptiRoute: Interactive Maps for Wayfinding in a Complex Environment, The 2nd Schematic Mapping Workshop, 2019.
    [Best Poster Award] [Preprint1] [Preprint2]
  • Hsiang-Yun Wu, Ken Maruyama, Takamasa Kawagoe, Kazuo Misue, Masatoshi Arikawa, and Shigeo Takahashi. Aspect-Ratio-Preserved Labeling on Metro Maps, The 2nd Schematic Mapping Workshop, 2019.
    [Preprint1] [Preprint2]

  • Hsiang-Yun Wu, Martin Nöllenburg, and Ivan Viola. A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways, in Poster Proceedings of 20th EG/VGTC Conference on Visualization (EuroVis2018), 2018.

  • Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, and Issei Fujishiro. TimeTubes: Visual Fusion for Detailed and Precise Analysis of Time-Varying Multi-Dimensional Datasets, in Poster Proceedings of the International Meeting on “High-Dimensional Data-Driven Science” (HD3-2017), 2017.

  • Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, and Issei Fujishiro. TimeTubes: Visual Fusion for Ameliorating Uncertainty of Blazar Datasets from Different Observatories, in Poster Proceedings of 10th IEEE Pacific Visualization Symposium (PacificVis2017), 2017.

  • Hsiang-Yun Wu, Shigeo Takahash, Masatoshi Arikawa, and Sheung-Hung Poon. Consistent Placement of Labels with Different Scale Ranges. in Poster Proceedings of the IEEE VIS Conference, 2016.

  • Shigeo Takahash, Hsiang-Yun Wu, Masatoshi Arikawa, and Sheung-Hung Poon. Optimized Displacement and Selection in Scale-Aware Map Editing. in Poster Proceedings of the IEEE VIS Conference, 2016.

  • Yusuke Niibe, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, and Issei Fujishiro. Making Many-to-many Parallel Coordinate Plots Scalable by Asymmetric Biclustering. in Poster Proceedings of the International Meeting on High-Dimensional Data Driven Science (HD3-2015), 2015.

  • Longyin Xu, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, and Issei Fujishiro. TimeTubes: Preliminary Design of Visualization Tool for Timedependent, Multivariate Blazar Datasets, in Poster Proceedings of the International Meeting on High-Dimensional Data Driven Science (HD3-2015), 2015.

  • Yi Gao, Hsiang-Yun Wu, Kazuyo Mizuno, Kazuo Misue, and Shigeo Takahashi. Visualizing Bag-of-Features Image Categorization using Anchored Maps, in Poster Proceedings of 7th IEEE Pacific Visualization Symposium (PacificVis2014), pp. 47-48, 2014.

  • Hsiang-Yun Wu, Shigeo Takahashi, Chun-Cheng Lin, and Hsu-Chun Yen. Designing Octilinear Layouts for Customized Metro Maps, in Poster Proceedings of the 5th IEEE Pacific Visualization Symposium (PacificVis2012), 2012.

  • Hsiang-Yun Wu, Shigeo Takahashi, Chun-Cheng Lin, and Hsu-Chun Yen. A Genetic-Based Method for External Labeling on Metro Maps, in Poster Proceedings of 4th IEEE Pacific Visualization Symposium (PacificVis2011), pp. 27-28, 2011.

International Contests

Image Publication Links
Hsiang-Yun Wu. The World of Scientists, The 24-Hour Science Map Contest, 2021.
[1st Place Award]		 small [png] large [png]
Daniel Pahr, Hsiang-Yun Wu, and Renata Raidou. The Anatomical Edutainer: A Physicalization Approach for Accessible Anatomical Edutainment, Image Contest of 10th EG Workshop on Visual Computing for Biology and Medicine (VCBM2021), 2021. [png]
Markus Wallinger and Hsiang-Yun Wu. K-Pop Hive, The 29th Annual Graph Drawing Contest (GD2020), 2020.
[3rd Place Award]		 [pdf]
Marwin Schindler, Hsiang-Yun Wu, and Renata Raidou. The Anatomical Edutainer: A Physicalization Approach for Accessible Anatomical Edutainment, Image Contest of 10th EG Workshop on Visual Computing for Biology and Medicine (VCBM2020), 2020. [jpg1] [jpg2]
Guangping Li, Soeren Nickel, Martin Nöllenburg, and Ivan Viola, Hsiang-Yun Wu. World Map of Recipes, The 28th Annual Graph Drawing Contest (GD2019), 2019.
[1st Place Award]		 [pdf]
Hsiang-Yun Wu, Martin Nöllenburg, and Ivan Viola. Map of Metabolic Harmony, Image Contest of 9th EG Workshop on Visual Computing for Biology and Medicine (VCBM2019), 2019. [png]
Hsiang-Yun Wu, Martin Nöllenburg, and Ivan Viola. The Travel of a Metabolite, Visual Data Storytelling Contest of 11th IEEE Pacific Visualization Symposium (PacificVis2018), 2018.
[Top 10 Award]		 [Video] [MOV]

International Seminar Publications

  • Thorsten Korpitsch and Hsiang-Yun Wu, Optimising 3D Mesh Unfoldings with Additional Gluetabs using Simulated Annealing, in Central European Seminar on Computer Graphics (CESCG 2020), 2020.
    [Best Paper Award at CESCG 2020]

  • Seokhee Hong, Stephen Kobourov, Giuseppe Liotta, Yoshio Okamoto, and Hsiang-Yun Wu. Visual Metaphors, Trends and Perspectives in Graph Drawing and Network Visualization (Shonan Meeting No. 171), in Steven Chaplick, Takayuki Itoh, Giuseppe Liotta, Kwan-Liu Ma, and Ignaz Rutter (Eds.), NII Shonan Meeting Reports No.2020-02 [No.171], 2020.
    [Preprint]

  • Lars Linsen, David Mayerich, Shuichi Onami, Guido Reina, Baoqing Wang, and Hsiang-Yun Wu. Integration and Standardization in BioMedical Visualization, Dissemination: Driver of Formalization in BioMedical Visualization , Formalizing Biological and Medical Visualization (Shonan Meeting No. 167), in Renata Georgia Raidou, Barbora Kozlikova, Johanna Beyer, Timo Ropinski, and Issei Fujishiro (Eds.), NII Shonan Meeting Reports No.2020-02 [No.167], 2020.

  • Daniel Haehn, Barbora Kozlikova, Martin Krzywinski, Johannes Sorger, and Hsiang-Yun Wu. Dissemination: Driver of Formalization in BioMedical Visualization , Formalizing Biological and Medical Visualization (Shonan Meeting No. 167), in Renata Georgia Raidou, Barbora Kozlikova, Johanna Beyer, Timo Ropinski, and Issei Fujishiro (Eds.), NII Shonan Meeting Reports No.2020-02 [No.167], 2020.
    [Preprint]

  • Hsiang-Yun Wu, Graph! A Fundamental Structure for Maps, in Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt (Eds.), Big Graph Processing Systems (Dagstuhl Seminar 19491), Dagstuhl Reports, pp. 1-27, Vol. 9, No. 12, 2020.
    [DOI] [Preprint]

  • Hsiang-Yun Wu, Geometry and Data Representation, in Andrea Fuster, Evren Özarslan, Thomas Schultz, and Eugene Zhang (Eds.), Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy (Dagstuhl Seminar 18442), Dagstuhl Reports, pp. 11-14, Vol. 8, No. 10, 2019.
    [DOI] [Preprint]

  • Daniel Archambault, Jessie Kennedy, Tatiana von Lan-desberger, Mark McCann, Fintan McGee, Benjamin Renoust, and Hsiang-Yun Wu. Lost in Translation: Alignment of Mental Representations for Visual Analytics, Reimagining the Mental Map and Drawing Stability (Shonan Meeting No. 127), in Daniel Archambault, Karsten Klein, Kazuo Misue (Eds.), NII Shonan Meeting Reports No.2018-12 [No.127], 2018.
    [Preprint]

  • Radu Jianu, Martin Krzywinski, Luana Micallef, and Hsiang-Yun Wu, Mapifying the Genome, in Yifan Hu, Luana Micallef, Martin Nöllenburg, and Peter Rodgers (Eds.), Scalable Set Visualizations (Dagstuhl Seminar 17332), Dagstuhl Reports, pp. 11-14, Vol. 7, No. 8, 2018.
    [DOI] [Preprint]

  • Daniel Archambault, Michael Burch, Markus Chimani, Peter Eades,Hiroshi Hosobe, Karsten Klein, Kazuo Misue, Hsiang-Yun Wu, and Xiaru Yuan. Scalability, Dynamic Networks Visual Analytics: Approaches to Facilitate Visual Analysis of Complex and Dynamic Network Data (Shonan Meeting No. 085), in Takayuki Itoh, Karsten Klein, and Giuseppe　Liotta (Eds.), NII Shonan Meeting Reports No. 2016-11 [085], 2016.
    [Preprint]

  • Daniel Archambault, Stephan Diehl, Tim Dwyer, Chun-Cheng Lin,Kazuo Misue, Tamara Munzner, and Hsiang-Yun Wu. Cognitive Scalability of Graph Visualization, Big Graph Drawing: Metrics andMethods (Shonan Meeting No. 054), in Takayuki Itoh, Karsten Klein, and Giuseppe　Liotta (Eds.), NII Shonan Meeting Reports No.2015-1, 2015.
    [Preprint]

  • Hsiang-Yun Wu. Designing Annotated Metro Maps through Constrained Optimization, Computer Visualization–Concepts and Challenges (Shonan Meeting No. 046), in Arie E. Kaufman and Issei Fujishiro (Eds.), NII Shonan Meeting Reports No.2014-1, 2014.
    [Preprint]

Domestic Journal Publications (Peer-Reviewed)

Image Publication Links
藤代一成, 高橋成雄, 渡辺一帆, Hsiang-Yun Wu. スパースモデリングと情報可視化 (Sparse Modeling and Information Visualization), 電子情報通信学会誌 (スパースモデリングの発展ー原理から応用までー特集) (in Japanese), pp. 466-470, Vol. 99, No. 5, 2016.  
Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, and Issei Fujishiro. Axis Contraction of Parallel Coordinates Using Spectral Graph Analysis, The Journal of the Institute of Image Electronics Engineers of Japan (in Japanese), pp. 447-456, Vol. 44, No. 3, 2015.  

研究会発表:

  • Hsiang-Yun Wu, 高橋成雄, 宮村浩子, 大坐畠智, 中尾彰宏. 視覚分析のためのP2Pネットワーク階層最適化, 電子情報通信学会総合大会, March, 2016.

  • 宮村浩子, Hsiang-Yun Wu, 高橋成雄, 大坐畠智, 中尾彰宏. 階層最適化を用いたネットワークグラフレイアウト, 電子情報通信学会総合大会, March, 2016.

  • 宮村浩子, Hsiang-Yun Wu, 吉田雅裕, 大坐畠智, 中尾彰宏, 高橋成雄. AS 間接続関係を用 いたオーバレイネットワークの可視化, 電子情報通信学会ネットワークシステム研究会, March, 2013.

  • 廣野大地, Hsiang-Yun Wu, 有川正俊, and 高橋成雄. 3 次元都市地図における経路の重なりを回避したレイアウトの自動生成, Visual Computing/グラフィクスとCAD 合同シンポジウム, June, 2012.

  • 佐々木海, Hsiang-Yun Wu, 吉田雅裕, 宮村浩子, 大坐畠智, 中尾彰宏, 高橋成雄, P2P ネットワーク解析のためのスケールフリーネットワークの可視化, 電子情報通信学会ネットワークシステム研究会, March, 2012.

  • 高橋成雄, Seow Hui Saw, Hsiang-Yun Wu, Chun-Cheng Lin, and Hsu-Chun Yen, 曲率を考慮に入れた3 次元メッシュの展開図生成, 情報処理学会グラフィクスとCAD 研究会研究報告, 2011-CG-142(16), February, 2011.

全国大会:

  • 澤田 奈生子, 中山 雅紀, 植村 誠, Hsiang-Yun Wu, 藤代 一成. TimeTubes：多次元時系列ブレーザー観測データの視覚的融合による不確実性の緩和, 情報処理学会 第79回全国大会 学生セッション 3X-08, 2017. (学生奨励賞受賞)

  • 芦沢未菜, Hsiang-Yun Wu, 高橋成雄. 高次元データ解析における測地的 k-平均クラスタリング法の効果の検証, 情報処理学会 第77回全国大会 学生セッション 3Y-05, 2015. (学生奨励賞受賞)

  • 石田理恵, Hsiang-Yun Wu, 高橋成雄. ボロノイ図を用いたラベル重複を軽減するグラフレイアウト手法, 情報処理学会 第77回全国大会 学生セッション 3Y-06, 2015.

  • 大高悠希, Hsiang-Yun Wu, 高橋成雄. 相互情報量による視点位置の定量的評価, 情報処理学会 第77回全国大会 学生セッション 5Y-05, 2015. (学生奨励賞受賞)

  • 安田昂平, Hsiang-Yun Wu, 高橋成雄. 2次元都市地図画像からのゲシュタルト特徴抽出, 情報処理学会 第77回全国大会 学生セッション 5Y-08, 2015.

  • 菊池景介，櫻井大督, Hsiang-Yun Wu, 佐伯修, 高橋成雄. 多値関数に関するトポロジー記述子を用いた3次元形状検索, 情報処理学会 第76回全国大会 学生セッション 1ZC-6, 2014.

  • 古戝友規, 櫻井大督, Hsiang-Yun Wu, 高橋成雄. 注視点計測を用いた画像から自己相似構造の抽出, 情報処理学会 第76回全国大会 学生セッション 2T-7, 2014.

  • 佐藤史弥, Hsiang-Yun Wu, 高橋成雄， 有川正俊. 非透視投影による古地図の構造のモデリング, 情報処理学会 第76回全国大会 学生セッション 1ZC-4, 2014.

  • 能野琴, Hsiang-Yun Wu, 渡辺一帆, 高橋成雄, 藤代一成. 相関に基づくクラスタリングを用いた軸縮約可能な平行座標系, 情報処理学会 第76回全国大会 学生セッション 3ZC-9, 2014. (学生奨励賞受賞)

地図学会:

  • Hsiang-Yun Wu. フォーカス＋コンテキスト地下鉄路線図レイアウトと注釈付け, 日本地図学会 定期大会 口頭発表, 2016.

  • 佐藤史弥, 有川 正俊, Hsiang-Yun Wu, 高橋 成雄, 今井 浩. イラスト地図読者の視覚的注目点のシミュレーション手法, 日本地図学会 定期大会 口頭発表, 2016.

  • 高橋成雄, Hsiang-Yun Wu, Sheung-Hung Poon, 有川正俊. 連続スケールにおける地図ラベルの取捨選択, 日本地図学会 定期大会 口頭発表, 2015.

  • 佐藤史弥, Hsiang-Yun Wu, 高橋成雄, 有川正俊. カーネル密度推定を利用したイラスト地図における重要ルートの抽出, 日本地図学会 定期大会 口頭発表, 2015.

  • 佐藤史弥, Hsiang-Yun Wu, 高橋成雄, 有川正俊. 古地図の歪み抽出による構図のモデリング, 日本地図学会 定期大会 口頭発表, 2014.

  • Hsiang-Yun Wu, 高橋成雄, 有川正俊, 林春成, 顏嗣鈞. 地下鉄路線図のためのポップアップラベル設計, 日本地図学会 定期大会 口頭発表, 2014.

ポスター発表:

  • Hsiang-Yun Wu, 成雄 高橋, 正俊 有川 and Sheung-Hung Poon. スケールに関する一貫性を保持した地名ラベリングへのリーダ線の導入, CSIS DAYS 2017「全国共同利用研究発表大会」, November, 2017.

  • Hsiang-Yun Wu, 高橋成雄, Sheung-Hung Poon, 有川正俊. 異なるスケール存在範囲をもつ地図ラベルの一貫性を保持した配置, CSIS DAYS 2016「全国共同利用研究発表大会」, November, 2016.

  • 高橋成雄, Hsiang-Yun Wu, Sheung-Hung Poon, 有川正俊. 対話地図の縮小編集操作における転位と取捨選択アルゴリズムの実現, CSIS DAYS 2015「全国共同利用研究発表大会」, November, 2015.

  • 高橋成雄, Hsiang-Yun Wu, Sheung-Hung Poon, 有川正俊.連続スケールにおける地図ラベル配置の最適化, CSIS DAYS 2015「全国共同利用研究発表大会」, November, 2015.

  • Hsiang-Yun Wu, Sheung-Hung Poon, 高橋成雄, 有川正俊, Chun-Cheng Lin, and Hsu-Chun Yen. 環状経路を中心とする地下鉄路線図レイアウト設計, CSIS DAYS 2014「全国共同利用研究発表大会」, November, 2014.

  • 佐藤史弥, Hsiang-Yun Wu, 高橋成雄, 有川正俊. 透視投影図の組み合わせ抽出を用いた吉田初三郎の鳥瞰図における構図の解析, CSIS DAYS 2014「全国共同利用研究発表大会」, November, 2014.

  • Hsiang-Yun Wu, 高橋成雄, 有川正俊, 廣野大地, Chun-Cheng Lin, and Hsu-Chun Yen. 注釈ラベル配置の空間効率を考慮した地下鉄路線図設計, CSIS DAYS 2013「全国共同利用研究発表大会」, November, 2013.

  • 高橋成雄, Hsiang-Yun Wu, 廣野大地, 有川正俊. 3 次元都市ナビゲーションにおける時空間制約を用いた地図レイアウトの最適化, CSIS DAYS 2013「全国共同利用研究発表大会」, November, 2013.

  • 廣野大地, Hsiang-Yun Wu, 有川正俊, and 高橋成雄. 3 次元都市地図における視認性の定式化とそのレイアウト最適化, CSIS DAYS 2012「全国共同利用研究発表大会」, November, 2012.

  • Hsiang-Yun Wu, 有川正俊, 高橋成雄, Chun-Cheng Lin, and Hsu-Chun Yen. 地下鉄路線図網のレイアウトに応じた注釈ラベルの配置手法, CSIS DAYS 2012「全国共同利用研究発表大会」, November, 2012.

解説記事:

  • Hsiang-Yun Wu, Haichao Miao，and Ivan Viola. 从细胞到分子—生物信息可视化(in Chinese), 中国计算机学会通讯 Vol. 15, No. 3, pp. 17–22, March, 2019. 中国计算机学会通讯 (China Computer Federation).

  • 高橋 成雄，Hsiang-Yun Wu, 渡辺 一帆，藤代 一成. 多変量データ可視化のための軸縮約可能並行座標表示(in Japanese), 画像ラボ Vol. 29, No. 11, pp. 23–32, November, 2018. 日本工業出版 (ISSN0915-6755).