Yun-Hsin Kuo

According to our database, Yun-Hsin Kuo authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 2025

SpreadLine: Visualizing Egocentric Dynamic Influence.

Yun-Hsin Kuo, Dongyu Liu, Kwan-Liu Ma

IEEE Trans. Vis. Comput. Graph., January, 2025

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

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

: Improving Label-Based Evaluation of Dimensionality Reduction.

Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo

IEEE Trans. Vis. Comput. Graph., January, 2024

Character-Oriented Design for Visual Data Storytelling.

Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma

IEEE Trans. Vis. Comput. Graph., January, 2024

2023

VisActs: Describing Intent in Communicative Visualization.

Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma

CoRR, 2023

Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction.

Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo

CoRR, 2023

Investigating Animal Infectious Diseases with Visual Analytics.

Yun-Hsin Kuo, Beatriz Martínez-López, Kwan-Liu Ma

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns.

Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

2022

Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns.

Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma

CoRR, 2022

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

Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2019

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

Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019