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Weiyu Huang
Researcher at University of Pennsylvania
Publications - 33
Citations - 995
Weiyu Huang is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Metric (mathematics) & Graph (abstract data type). The author has an hindex of 15, co-authored 33 publications receiving 776 citations. Previous affiliations of Weiyu Huang include Massachusetts Institute of Technology & King Juan Carlos University.
Papers
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Journal ArticleDOI
A Graph Signal Processing Perspective on Functional Brain Imaging
Weiyu Huang,Thomas A. W. Bolton,John D. Medaglia,Danielle S. Bassett,Alejandro Ribeiro,Dimitri Van De Ville +5 more
TL;DR: How brain activity can be meaningfully filtered based on concepts of spectral modes derived from brain structure is reviewed and GSP offers a novel framework for the analysis of brain imaging data.
Journal ArticleDOI
Graph Frequency Analysis of Brain Signals
Weiyu Huang,Leah Goldsberry,Nicholas F. Wymbs,Scott T. Grafton,Danielle S. Bassett,Alejandro Ribeiro +5 more
TL;DR: It is observed that brain signals corresponding to different graph frequencies exhibit different levels of adaptability throughout learning, and a strong association between graph spectral properties of brain networks and the level of exposure to tasks performed is noticed.
Journal ArticleDOI
Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility.
John D. Medaglia,Weiyu Huang,Elisabeth A. Karuza,Apoorva Kelkar,Sharon L. Thompson-Schill,Alejandro Ribeiro,Danielle S. Bassett +6 more
TL;DR: In this article, the authors applied emerging tools from graph signal processing to examine whether BOLD signals measured at each point in time correspond to complex underlying anatomical networks in 28 individuals performing a perceptual task that probed cognitive flexibility.
Posted Content
Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility
John D. Medaglia,Weiyu Huang,Elisabeth A. Karuza,Sharon L. Thompson-Schill,Alejandro Ribeiro,Danielle S. Bassett +5 more
TL;DR: It is found that the alignment between functional signals and the architecture of the underlying white matter network was associated with greater cognitive flexibility across subjects, uncovering an integrated structure–function relation of human behaviour.
Journal ArticleDOI
Rating Prediction via Graph Signal Processing
TL;DR: New designs for recommendation systems inspired by recent advances in graph signal processing are developed, and it is demonstrated that linear latent factor models can be viewed as bandlimited interpolation algorithms that operate in a frequency domain given by the spectrum of a joint user and item network.