Yun-Hsin Kuo - RankMe

16 papers A* 1B 3Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction. CoRR Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo, Taehyun Yang, Daniel Archambault, Sungahn Ko, Takanori Fujiwara, Kwan-Liu Ma, Jinwook Seo
2025	J	`jnl`	SpreadLine: Visualizing Egocentric Dynamic Influence. IEEE Trans. Vis. Comput. Graph. Yun-Hsin Kuo, Dongyu Liu, Kwan-Liu Ma
2025	A*	`conf`	Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction. CHI Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo, Taehyun Yang, Daniel Archambault, Sungahn Ko, Takanori Fujiwara, Kwan-Liu Ma, Jinwook Seo
2025	J	`jnl`	Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction. CoRR Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo, Taehyun Yang, Daniel Archambault, Sungahn Ko, Takanori Fujiwara, Kwan-Liu Ma, Jinwook Seo
2024	J	`jnl`	: Improving Label-Based Evaluation of Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
2024	J	`jnl`	Character-Oriented Design for Visual Data Storytelling. IEEE Trans. Vis. Comput. Graph. Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
2024	J	`jnl`	SpreadLine: Visualizing Egocentric Dynamic Influence. CoRR Yun-Hsin Kuo, Dongyu Liu, Kwan-Liu Ma
2023	J	`jnl`	Character-Oriented Design for Visual Data Storytelling. CoRR Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
2023	J	`jnl`	Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. CoRR Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
2023	B	`conf`	Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. PacificVis Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma
2023	B	`conf`	Investigating Animal Infectious Diseases with Visual Analytics. PacificVis Yun-Hsin Kuo, Beatriz Martínez-López, Kwan-Liu Ma
2023	J	`jnl`	VisActs: Describing Intent in Communicative Visualization. CoRR Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
2022	J	`jnl`	A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. CoRR Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma
2022	B	`conf`	A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. PacificVis Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma
2022	J	`jnl`	Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. CoRR Takanori Fujiwara, Yun-Hsin Kuo, Anders Ynnerman, Kwan-Liu Ma
2019	—	`conf`	Public Transportation Advertisement Scheduling: Algorithms and a Case Study in Taiwan. PACIS Yun-Hsin Kuo, Fa-Xuan Xiao, Cheng-Wei Lu, Chia-Hua Chang, Ling-Chieh Kung