Su-Yun Huang

25 papers C 1Journal 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
A unified selection consistency theorem for information criterion-based rank estimators in factor analysis.
J. Multivar. Anal.
Toshinari Morimoto, Hung Hung, Su-Yun Huang
2026 J jnl
Generative and Nonparametric Approaches for Conditional Distribution Estimation: Methods, Perspectives, and Comparative Evaluations.
CoRR
Yen-Shiu Chin, Zhi-Yu Jou, Toshinari Morimoto, Chia-Tse Wang, Ming-Chung Chang, Tso-Jung Yen, Su-Yun Huang, Tailen Hsing
2025 J jnl
TensorProjection layer: A tensor-based dimension reduction method in deep neural networks.
Neurocomputing
Toshinari Morimoto, Su-Yun Huang
2024 J jnl
A Generalized Mean Approach for Distributed-PCA.
CoRR
Zhi-Yu Jou, Su-Yun Huang, Hung Hung, Shinto Eguchi
2024 J jnl
A Geometric Algorithm for Contrastive Principal Component Analysis in High Dimension.
J. Comput. Graph. Stat.
Rung-Sheng Lu, Shao-Hsuan Wang, Su-Yun Huang
2022 J jnl
Perturbation theory for cross data matrix-based PCA.
J. Multivar. Anal.
Shao-Hsuan Wang, Su-Yun Huang
2022 J jnl
Robust Aggregation for Federated Learning by Minimum γ-Divergence Estimation.
Entropy
Cen-Jhih Li, Pin-Han Huang, Yi-Ting Ma, Hung Hung, Su-Yun Huang
2022 J jnl
Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution.
IEEE Trans. Signal Process.
Hung Hung, Su-Yun Huang, Shinto Eguchi
2021 J jnl
On the asymptotic normality and efficiency of Kronecker envelope principal component analysis.
J. Multivar. Anal.
Shih-Hao Huang, Su-Yun Huang
2020 C conf
Altered Functional Complexity Associated with Structural Features in Schizophrenic Brain: A Resting-state fMRI Study.
COMPLEXIS
Yi-Ju Lee, Su-Yun Huang, Shih-Jen Tsai, Albert C. Yang
2020 J jnl
On asymptotic normality of cross data matrix-based PCA in high dimension low sample size.
J. Multivar. Anal.
Shao-Hsuan Wang, Su-Yun Huang, Ting-Li Chen
2020 J jnl
TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN.
CoRR
Toshinari Morimoto, Su-Yun Huang
2019 J jnl
2SDR: Applying Kronecker Envelope PCA to denoise Cryo-EM Images.
CoRR
Szu-Chi Chung, Po-Yao Niu, Su-Yun Huang, Wei-Hau Chang, I-Ping Tu
2019 J jnl
The generalized degrees of freedom of multilinear principal component analysis.
J. Multivar. Anal.
I-Ping Tu, Su-Yun Huang, Dai-Ni Hsieh
2016 J jnl
On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation.
J. Multivar. Anal.
Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang, Chii-Ruey Hwang
2013 J jnl
Asymptotic error bounds for kernel-based Nyström low-rank approximation matrices.
J. Multivar. Anal.
Lo-Bin Chang, Zhidong Bai, Su-Yun Huang, Chii-Ruey Hwang
2013 J jnl
Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation.
IEEE J. Sel. Top. Signal Process.
Pengwen Chen, Hung Hung, Osamu Komori, Su-Yun Huang, Shinto Eguchi
2013 J jnl
Statistical Analysis of Biomarkers for Personalized Medicine.
Comput. Math. Methods Medicine
Shinto Eguchi, Shigeyuki Matsui, Su-Yun Huang, Chuhsing Kate Hsiao
2010 J jnl
Multiclass support vector classification via coding and regression.
Neurocomputing
Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang
2009 J jnl
A new regularized least squares support vector regression for gene selection.
BMC Bioinform.
Pei-Chun Chen, Su-Yun Huang, Wei J. Chen, Chuhsing Kate Hsiao
2009 J jnl
Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.
IEEE Trans. Knowl. Data Eng.
Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee
2009 J jnl
Robust Kernel Principal Component Analysis.
Neural Comput.
Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi
2007 J jnl
Model selection for support vector machines via uniform design.
Comput. Stat. Data Anal.
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, Su-Yun Huang
2007 J jnl
Reduced Support Vector Machines: A Statistical Theory.
IEEE Trans. Neural Networks
Yuh-Jye Lee, Su-Yun Huang
2004 J jnl
Bayesian marginal inference via candidate's formula.
Stat. Comput.
Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang