Yun-Hsin Kuo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Visual Analytics

Interactive Visualizations

Dimensionality Reduction

Infectious Disease

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
: Improving Label-Based Evaluation of Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
Character-Oriented Design for Visual Data Storytelling. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Yun-Hsin Kuo, Beatriz Martínez-López, Kwan-Liu Ma
Investigating Animal Infectious Diseases with Visual Analytics. PacificVis (2023)
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
Character-Oriented Design for Visual Data Storytelling. CoRR (2023)
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
VisActs: Describing Intent in Communicative Visualization. CoRR (2023)
Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. CoRR (2023)
Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. PacificVis (2023)
Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma
A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. PacificVis (2022)
Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma
A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. CoRR (2022)
Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma
Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. CoRR (2022)
Yun-Hsin Kuo, Fa-Xuan Xiao, Cheng-Wei Lu, Chia-Hua Chang, Ling-Chieh Kung
Public Transportation Advertisement Scheduling: Algorithms and a Case Study in Taiwan. PACIS (2019)