| Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
|---|---|---|---|---|---|---|
| 2023 | A geometric algorithm for contrastive principal component analysis in high dimension | Rung-Sheng Lu; Shao-Hsuan Wang; Su-Yun Huang | JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 33(3), 909-916 | |||
| 2020 | On asymptotic normality of cross data matrix-based PCA in high dimension low sample size | Shao-Hsuan Wang; Su-Yun Huang ; Ting-Li Chen | JOURNAL OF MULTIVARIATE ANALYSIS 175, 104556 | |||
| 2022 | Perturbation theory for cross data matrix-based PCA | Shao-Hsuan Wang; Su-Yun Huang | JOURNAL OF MULTIVARIATE ANALYSIS 190, 104960 | |||
| 2020 | Quantification of model bias underlying the phenomenon of “Einstein from noise” | Shao-Hsuan Wang; Yi-Ching Yao ; Wei-Hau Chang; I-Ping Tu | STATISTICA SINICA | |||
| 2021 | rAMI–Rapid Alignment with Moment of Inertia for Cryo-EM Image Processing | Szu-Chi Chung; Shao-Hsuan Wang; Cheng-Yu Hung; Wei-Hau Chang; I-Ping Tu | ||||
| 2020 | Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy | Szu-Chi Chung; Shao-Hsuan Wang; Po-Yao Niu; Su-Yun Huang ; Wei-Hau Chang; I-Ping Tu | Annals of Mathematical Sciences and Applications 5(2), 283-316 |
