| Character-Oriented Design for Visual Data Storytelling K Dasu, YH Kuo, KL Ma IEEE Transactions on Visualization and Computer Graphics, 2023 | 8 | 2023 |
| Classes are Not Clusters: Improving Label-Based Evaluation of Dimensionality Reduction H Jeon, YH Kuo, M Aupetit, KL Ma, J Seo IEEE Transactions on Visualization and Computer Graphics 30 (1), 781-791, 2023 | 6 | 2023 |
| Feature learning for nonlinear dimensionality reduction toward maximal extraction of hidden patterns T Fujiwara, YH Kuo, A Ynnerman, KL Ma 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 122-131, 2023 | 4 | 2023 |
| Feature learning for dimensionality reduction toward maximal extraction of hidden patterns T Fujiwara, YH Kuo, A Ynnerman, KL Ma | 3 | 2022 |
| Investigating Animal Infectious Diseases with Visual Analytics YH Kuo, B Martínez-López, KL Ma 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 71-81, 2023 | 2 | 2023 |
| SpreadLine: Visualizing egocentric dynamic influence YH Kuo, D Liu, KL Ma IEEE Transactions on Visualization and Computer Graphics, 2024 | 1 | 2024 |
| A machine-learning-aided visual analysis workflow for investigating air pollution data YH Kuo, T Fujiwara, CCK Chou, C Chen, KL Ma 2022 IEEE 15th Pacific Visualization Symposium (PacificVis), 91-100, 2022 | 1 | 2022 |
| VisActs: Describing Intent in Communicative Visualization K Dasu, YH Kuo, KL Ma arXiv preprint arXiv:2309.05739, 2023 | | 2023 |
| Public Transportation Advertisement Scheduling: Algorithms and a Case Study in Taiwan YH Kuo, FX Xiao, CW Lu, CH Chang, LC Kung | | 2019 |
