Mark Cheung

Orcid: 0000-0002-5909-8853

According to our database1, Mark Cheung authored at least 10 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Using Sparse Spectral Shifts in Graph CNNs.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Graph Classification: Tradeoffs between Deep Neural Network Architecture and Graph Topology.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology.
IEEE Signal Process. Mag., 2020

Graph Neural Networks for COVID-19 Drug Discovery.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Dual Approach to Graph CNNs.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Pooling in Graph Convolutional Neural Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Contrastive Structured Anomaly Detection for Gaussian Graphical Models.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Classification with Vertex-Based Graph Convolutional Neural Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2013
Research and applications: The intended and unintended consequences of communication systems on general internal medicine inpatient care delivery: a prospective observational case study of five teaching hospitals.
J. Am. Medical Informatics Assoc., 2013


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