26 citations · 27 across the 4 of their papers we have counts for
4 papers
Learning Interpretable Models for Coupled Networks Under Domain Constraints
Hongyuan You, Sikun Lin, Ambuj K. Singh
Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the relationship b…
DANR: Discrepancy-aware Network Regularization
Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh
Network regularization is an effective tool for incorporating structural prior knowledge to learn coherent models over networks, and has yielded provably accurate estimates in appl…
Autism Classification Using Brain Functional Connectivity Dynamics and Machine Learning
Ravi Tejwani, Adam Liska, Hongyuan You +2
The goal of the present study is to identify autism using machine learning techniques and resting-state brain imaging data, leveraging the temporal variability of the functional co…
Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data
Xuan Hong Dang, Ambuj K. Singh, Petko Bogdanov +2
Data mining practitioners are facing challenges from data with network structure. In this paper, we address a specific class of global-state networks which comprises of a set of ne…