David Hong
Assistant Professor
University of Delaware
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David Hong is an Assistant Professor at the University of Delaware, USA. His research areas include high-dimensional data analysis, adversarially robust classification, and innovations in group testing methodologies, particularly in response to COVID-19. Additionally, his work encompasses probabilistic methods for data with heteroscedastic noise and applications of tensor decomposition in various domains.
Articles (9)
Collaborators (5)
Laura Balzano
University of Michigan
UNITED STATES
Alexander Robey
University of Pennsylvania
UNITED STATES
Ian Hiskens
University of Michigan
UNITED STATES
James Hay
University of Oxford
UNITED KINGDOM
Xihong Lin
Professor
Harvard University
UNITED STATES
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