Mark Cheung

According to our database, Mark Cheung authored at least 12 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Reconstructing Fine-Grained Network Data using Autoencoder Architectures with Domain Knowledge Penalties.

Mark Cheung, Sridhar Venkatesan

CoRR, April, 2025

2023

Geometric Deep Learning: Impact of Graph Structure on Graph Neural Networks

Mark Cheung

PhD thesis, 2023

2021

Using Sparse Spectral Shifts in Graph CNNs.

Austin Lin, Wendy Summer, John Shi, Mark Cheung, José M. F. Moura

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Graph Classification: Tradeoffs between Deep Neural Network Architecture and Graph Topology.

Mark Cheung, José M. F. Moura

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

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

Mark Cheung, John Shi, Oren Wright, Lavender Yao Jiang, Xujin Liu, José M. F. Moura

IEEE Signal Process. Mag., 2020

Graph Neural Networks for COVID-19 Drug Discovery.

Mark Cheung, José M. F. Moura

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Dual Approach to Graph CNNs.

John Shi, Mark Cheung, Wendy Summer, José M. F. Moura

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.

Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Pooling in Graph Convolutional Neural Networks.

Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Contrastive Structured Anomaly Detection for Gaussian Graphical Models.

Abhinav Maurya, Mark Cheung

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.

John Shi, Mark Cheung, Jian Du, José M. F. Moura

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.

Robert C. Wu, Vivian Lo, Dante Morra, Brian M. Wong, Robert Sargeant, Ken Locke, Rodrigo Cavalcanti, Sherman D. Quan, Peter G. Rossos, Kim Tran, Mark Cheung

J. Am. Medical Informatics Assoc., 2013