Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction.
CoRR, June, 2025
SpreadLine: Visualizing Egocentric Dynamic Influence.
IEEE Trans. Vis. Comput. Graph., January, 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, 2025
: Improving Label-Based Evaluation of Dimensionality Reduction.
IEEE Trans. Vis. Comput. Graph., January, 2024
Character-Oriented Design for Visual Data Storytelling.
IEEE Trans. Vis. Comput. Graph., January, 2024
VisActs: Describing Intent in Communicative Visualization.
CoRR, 2023
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction.
CoRR, 2023
Investigating Animal Infectious Diseases with Visual Analytics.
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns.
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023
Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns.
CoRR, 2022
A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data.
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022
Public Transportation Advertisement Scheduling: Algorithms and a Case Study in Taiwan.
Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019