331 citations · 569 across the 47 of their papers we have counts for
7 papers · 1 filter
Green Learning: Introduction, Examples and Outlook
C. -C. Jay Kuo, Azad M. Madni
Rapid advances in artificial intelligence (AI) in the last decade have largely been built upon the wide applications of deep learning (DL). However, the high carbon footprint yield…
Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach
Ruiyuan Lin, Suya You, Raghuveer Rao +1
The construction of a multilayer perceptron (MLP) as a piecewise low-order polynomial approximator using a signal processing approach is presented in this work. The constructed MLP…
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification
Yueru Chen, C. -C. Jay Kuo
A new machine learning methodology, called successive subspace learning (SSL), is introduced in this work. SSL contains four key ingredients: 1) successive near-to-far neighborhood…
Graph Representation Learning: A Survey
Fenxiao Chen, Yuncheng Wang, Bin Wang +1
Research on graph representation learning has received a lot of attention in recent years since many data in real-world applications come in form of graphs. High-dimensional graph…
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Jenn-Bing Ong, Wee-Keong Ng, C. -C. Jay Kuo
Tensor network decomposition, originated from quantum physics to model entangled many-particle quantum systems, turns out to be a promising mathematical technique to efficiently re…
Analysis on Gradient Propagation in Batch Normalized Residual Networks
Abhishek Panigrahi, Yueru Chen, C. -C. Jay Kuo
We conduct mathematical analysis on the effect of batch normalization (BN) on gradient backpropogation in residual network training, which is believed to play a critical role in ad…