Age/gender classification with whole-component convolutional neural networks (WC-CNN). - Chun-Ting Huang; Yueru Chen; Ruiyuan Lin; C.-C. Jay Kuo (APSIPA, 2017)

Understanding CNN via deep features analysis. - Hao Xu; Yueru Chen; Ruiyuan Lin; C.-C. Jay Kuo (APSIPA, 2017)

On Tree-structured Multi-stage Principal Component Analysis (TMPCA) for Text Classification. - Yuanhang Su; Ruiyuan Lin; C.-C. Jay Kuo (CoRR, 2018)

Tree-structured multi-stage principal component analysis (TMPCA): Theory and applications. - Yuanhang Su; Ruiyuan Lin; C.-C. Jay Kuo (Expert Syst. Appl., 2019)

From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design. - Ruiyuan Lin; Zhiruo Zhou; Suya You; Raghuveer Rao; C.-C. Jay Kuo (CoRR, 2020)

Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach. - Ruiyuan Lin; Suya You; Raghuveer Rao; C.-C. Jay Kuo (CoRR, 2020)

On Relationship of Multilayer Perceptrons and Piecewise Polynomial Approximators. - Ruiyuan Lin; Suya You; Raghuveer Rao; C.-C. Jay Kuo (IEEE Signal Process. Lett., 2021)

Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation. - Yichen Ding; Varun Gudapati; Ruiyuan Lin; Yanan Fei; René R. Sevag Packard; Sibo Song; Chih-Chiang Chang; Kyung In Baek; Zhaoqiang Wang; Mehrdad Roustaei; Dengfeng Kuang; C.-C. Jay Kuo; et al. (IEEE Trans. Biomed. Eng., 2021)

Lightweight Fisher Vector Transfer Learning for Video Deduplication. - Chris Henry; Rijun Liao; Ruiyuan Lin; Zhebin Zhang; Hongyu Sun 001; Zhu Li 001 (ICASSP, 2023)

Fast and Robust Video Deduplication. - Chris Henry; Rijun Liao; Ruiyuan Lin; Zhebin Zhang; Hongyu Sun 001; Zhu Li 001 (MHV, 2023)

Recovering sign bits of DCT coefficients in digital images as an optimization problem. - Ruiyuan Lin; Sheng Liu; Jun Jiang; Shujun Li; Chengqing Li; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2024)

Geometrical Interpretation and Design of Multilayer Perceptrons. - Ruiyuan Lin; Zhiruo Zhou; Suya You; Raghuveer Rao; C.-C. Jay Kuo (IEEE Trans. Neural Networks Learn. Syst., 2024)