most citedDetecting gender differences in perception of emotion in crowdsourced data

6 citations · 6 across the 3 of their papers we have counts for

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eess.SP2020

Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology

Mark Cheung, John Shi, Oren Wright +3

Deep learning, particularly convolutional neural networks (CNNs), have yielded rapid, significant improvements in computer vision and related domains. But conventional deep learnin…

eess.SP2020

Pooling in Graph Convolutional Neural Networks

Mark Cheung, John Shi, Lavender Yao Jiang +2

Graph convolutional neural networks (GCNNs) are a powerful extension of deep learning techniques to graph-structured data problems. We empirically evaluate several pooling methods…