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Yun-Hsin Kuo
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2020 – today
- 2024
- [j2]Keshav Dasu
, Yun-Hsin Kuo
Character-Oriented Design for Visual Data Storytelling. IEEE Trans. Vis. Comput. Graph. 30(1): 98-108 (2024) - [j1]Hyeon Jeon, Yun-Hsin Kuo
: Improving Label-Based Evaluation of Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 30(1): 781-791 (2024) - [i6]Yun-Hsin Kuo, Dongyu Liu, Kwan-Liu Ma:
SpreadLine: Visualizing Egocentric Dynamic Influence. CoRR abs/2408.08992 (2024) - 2023
- [c4]Yun-Hsin Kuo, Beatriz Martínez-López, Kwan-Liu Ma:
Investigating Animal Infectious Diseases with Visual Analytics. PacificVis 2023: 71-81 - [c3]Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma:
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. PacificVis 2023: 122-131 - [i5]Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo:
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. CoRR abs/2308.00278 (2023) - [i4]Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma:
Character-Oriented Design for Visual Data Storytelling. CoRR abs/2308.07557 (2023) - [i3]Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma:
VisActs: Describing Intent in Communicative Visualization. CoRR abs/2309.05739 (2023) - 2022
- [c2]Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou
A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. PacificVis 2022: 91-100 - [i2]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 abs/2202.05413 (2022) - [i1]Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma:
Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. CoRR abs/2206.13891 (2022)
2010 – 2019
- 2019
- [c1]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: 134
Coauthor Index
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