Preprint: 'StarMAP: Global neighbor embedding for faithful data visualization,' arXiv:2502.03776 (2025)
Journal: 'SpectralMAP: Approximating data manifold with spectral decomposition,' IEEE Access, vol. 11, pp. 31530–31540 (2023)
Journal: 'Gaussian process decoder with spectral mixtures and locally estimated manifold for data visualization,' Applied Sciences, vol. 13, no. 8018 (2023)
Conference: 'Hyperboloid GPLVM for discovering continuous hierarchies via nonparametric estimation,' AISTATS 2025 (acceptance rate: 31.3%)
Conference: 'Estimating graph topology with smooth latent signals via Gaussian process,' 26th HU-SNU Joint Symposium Satellite Session (2023)
Conference: 'Learning graph Laplacian from intrinsic patterns via Gaussian process,' ICASSP 2023
Conference: 'Summarizing data structures with Gaussian process and robust neighborhood preservation,' ECML PKDD 2022 (acceptance rate: 26%)
Conference: 'Distributed label dequantized Gaussian process latent variable model for multi-view data integration,' ICASSP 2022
Contributed to multiple conference papers on graph-based data augmentation and continual learning (e.g., GCCE 2025)