Public Transportation Advertisement Scheduling: Algorithms and a Case Study in Taiwan. - Yun-Hsin Kuo; Fa-Xuan Xiao; Cheng-Wei Lu; Chia-Hua Chang; Ling-Chieh Kung (PACIS, 2019)

A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. - Yun-Hsin Kuo; Takanori Fujiwara; Charles C.-K. Chou; Chun-Houh Chen; Kwan-Liu Ma (PacificVis, 2022)

Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. - Takanori Fujiwara; Yun-Hsin Kuo; Anders Ynnerman; Kwan-Liu Ma (CoRR, 2022)

Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. - Takanori Fujiwara; Yun-Hsin Kuo; Anders Ynnerman; Kwan-Liu Ma (PacificVis, 2023)

Investigating Animal Infectious Diseases with Visual Analytics. - Yun-Hsin Kuo; Beatriz Martínez-López; Kwan-Liu Ma (PacificVis, 2023)

Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. - Hyeon Jeon; Yun-Hsin Kuo; Michaël Aupetit 001; Kwan-Liu Ma; Jinwook Seo (CoRR, 2023)

VisActs: Describing Intent in Communicative Visualization. - Keshav Dasu; Yun-Hsin Kuo; Kwan-Liu Ma (CoRR, 2023)

Character-Oriented Design for Visual Data Storytelling. - Keshav Dasu; Yun-Hsin Kuo; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2024)

: Improving Label-Based Evaluation of Dimensionality Reduction. - Hyeon Jeon; Yun-Hsin Kuo; Michaël Aupetit 001; Kwan-Liu Ma; Jinwook Seo (IEEE Trans. Vis. Comput. Graph., 2024)

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction. - Hyeon Jeon; Hyunwook Lee; Yun-Hsin Kuo; Taehyun Yang; Daniel Archambault; Sungahn Ko; Takanori Fujiwara; Kwan-Liu Ma; Jinwook Seo (CHI, 2025)

SpreadLine: Visualizing Egocentric Dynamic Influence. - Yun-Hsin Kuo; Dongyu Liu; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2025)

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction. - Hyeon Jeon; Hyunwook Lee; Yun-Hsin Kuo; Taehyun Yang; Daniel Archambault; Sungahn Ko; Takanori Fujiwara; Kwan-Liu Ma; Jinwook Seo (CoRR, 2025)