| Tree-structured multi-stage principal component analysis (TMPCA): theory and applications Y Su, R Lin, CCJ Kuo Expert Systems with Applications 118, 355-364, 2019 | 32 | 2019 |
| Saak transform-based machine learning for light-sheet imaging of cardiac trabeculation Y Ding, V Gudapati, R Lin, Y Fei, RRS Packard, S Song, CC Chang, ... IEEE Transactions on Biomedical Engineering 68 (1), 225-235, 2020 | 20 | 2020 |
| From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design R Lin, Z Zhou, S You, R Rao, CCJ Kuo arXiv preprint arXiv:2009.04442, 2020 | 14 | 2020 |
| Age/gender classification with whole-component convolutional neural networks (WC-CNN) CT Huang, Y Chen, R Lin, CCJ Kuo 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 11 | 2017 |
| Understanding convolutional neural networks via discriminant feature analysis H Xu, Y Chen, R Lin, CCJ Kuo APSIPA Transactions on Signal and Information Processing 7, 2018 | 6 | 2018 |
| On Tree-structured Multi-stage Principal Component Analysis (TMPCA) for Text Classification. Y Su, R Lin, CCJ Kuo arXiv preprint arXiv:1807.08228, 2018 | 3 | 2018 |
| Understanding CNN via deep features analysis H Xu, Y Chen, R Lin, CCJ Kuo 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 3 | 2017 |
| Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach R Lin, S You, R Rao, CCJ Kuo arXiv preprint arXiv:2010.07871, 2020 | 1 | 2020 |
| Demystify squeeze networks and go beyond R Lin, Y Xu, H Ghani, M Li, CCJ Kuo Applications of Digital Image Processing XLIII 11510, 115100O, 2020 | 1 | 2020 |
