Mark Cheung - RankMe

16 papers B 1Misc 4Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	PRNet: Packet Reconstruction Network with Domain-Aware Constraints. MILCOM Mark Cheung, Sridhar Venkatesan, Ritu Chadha, Constantin Serban
2025	J	`jnl`	Reconstructing Fine-Grained Network Data using Autoencoder Architectures with Domain Knowledge Penalties. CoRR Mark Cheung, Sridhar Venkatesan
2025	—	`conf`	Trojan Vulnerabilities in Host-Based Intrusion Detection Systems. DeLTA Mark Cheung, Sridhar Venkatesan, Rauf Izmailov
2023	—	`—`	Geometric Deep Learning: Impact of Graph Structure on Graph Neural Networks Mark Cheung
2021	—	`conf`	Graph Classification: Tradeoffs between Deep Neural Network Architecture and Graph Topology. ACSCC Mark Cheung, José M. F. Moura
2021	—	`conf`	Using Sparse Spectral Shifts in Graph CNNs. ACSCC Austin Lin, Wendy Summer, John Shi, Mark Cheung, José M. F. Moura
2020	Misc	`conf`	A Dual Approach to Graph CNNs. ACSSC John Shi, Mark Cheung, Wendy Summer, José M. F. Moura
2020	Misc	`conf`	Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. ACSSC Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura
2020	J	`jnl`	Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. CoRR Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura
2020	—	`conf`	Graph Neural Networks for COVID-19 Drug Discovery. IEEE BigData Mark Cheung, José M. F. Moura
2020	J	`jnl`	Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology. IEEE Signal Process. Mag. Mark Cheung, John Shi, Oren Wright, Lavender Yao Jiang, Xujin Liu, José M. F. Moura
2020	J	`jnl`	Pooling in Graph Convolutional Neural Networks. CoRR Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura
2019	Misc	`conf`	Pooling in Graph Convolutional Neural Networks. ACSSC Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura
2018	Misc	`conf`	Classification with Vertex-Based Graph Convolutional Neural Networks. ACSSC John Shi, Mark Cheung, Jian Du, José M. F. Moura
2018	B	`conf`	Contrastive Structured Anomaly Detection for Gaussian Graphical Models. ASONAM Abhinav Maurya, Mark Cheung
2013	J	`jnl`	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. 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