Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction

Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Navigating high-dimensional backstage: A guide for exploring literature for the reliable use of dimensionality reduction. EuroVis 2025 – Short Papers. https://doi.org/10.2312/EVS.20251087

Co-creating the visualisation of digital mobility outcomes: Delphi-type process with patients

Lumsdon, J., Wilson, C., Alcock, L., Becker, C., Benvenuti, F., Bonci, T., Van Den Brande, K., Brittain, G., Brown, P., Buckley, E., Caruso, M., Caulfield, B., Cereatti, A., Delgado-Ortiz, L., Del DIn, S., Evers, J., Garcia-Aymerich, J., Gaßner, H., Gur Arieh, T., … Cantu, A. (2025). Co-creating the visualisation of digital mobility outcomes: A Delphi-type process with patients. JMIR Formative Research. https://doi.org/10.2196/68782

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Unveiling high-dimensional backstage: A survey for reliable visual analytics with dimensionality reduction. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–24. https://doi.org/10.1145/3706598.3713551

TimeLighting: Guided Exploration of 2D Temporal Network Projections

Filipov, V., Ceneda, D., Archambault, D., & Arleo, A. (2025). Timelighting: Guided exploration of 2d temporal network projections. IEEE Transactions on Visualization and Computer Graphics, 31(3), 1932–1944. https://doi.org/10.1109/TVCG.2024.3514858

Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations

Shu, X., Pister, A., Tang, J., Chevalier, F., & Bach, B. (2024). Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.01272 πŸ† Best Paper at IEEE VIS 2024

Visualization atlases: Explaining and exploring complex topics through data, visualization, and narration

Wang, J., Shu, X., Bach, B., & Hinrichs, U. (2024). Visualization atlases: Explaining and exploring complex topics through data, visualization, and narration. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.07483.