Park, J., Ahn, J., and Park, C. (2023), Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data, Proceedings of the 40th International Conference on Machine Learning (ICML). Link.Github.
Kang, I., Choi, H., Yoon, Y.-J., Park, J., Kwon, S.-S., and Park, C. (2023), Frechet Distance-Based Cluster Analysis for Multi-Dimensional Functional Data, Statistics and Computing, 33(4), 75.
Park, J., Yoon, C., Park, C., and Ahn, J. (2022), Kernel Methods for Radial Transformed Compositional Data with Many Zeros, Proceedings of the 39th International Conference on Machine Learning (ICML), Link.
In Progress
Interpretable Dimension Reduction for Compositional Data (with Jeongyoun Ahn and Cheolwoo Park), partially appeared in my Ph.D. thesis (Chapter 3, 5).