Heejune Sheen

ORCID: 0000-0003-3286-7859
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About
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Research Areas
  • Bayesian Methods and Mixture Models
  • Respiratory viral infections research
  • SARS-CoV-2 and COVID-19 Research
  • Point processes and geometric inequalities
  • Sparse and Compressive Sensing Techniques
  • interferon and immune responses

Yale University
2022-2024

Abstract Hospitalized COVID-19 patients exhibit diverse immune responses during acute infection, which are associated with a wide range of clinical outcomes. However, understanding these heterogeneities and their links to various complications, especially long COVID, remains challenge. In this study, we performed unsupervised subtyping longitudinal multi-omics immunophenotyping in over 1,000 hospitalized patients, identifying two critical subtypes linked mortality or mechanical ventilation...

10.1101/2024.11.22.624784 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-11-25

We introduce a new discrete spatio-temporal Hawkes process model by formulating the general influence of as tensor kernel. Based on low-rank structure assumption kernel, we cast estimation kernel convex optimization problem using Fourier transformed nuclear norm. provide theoretical performance guarantees for our approach and present an algorithm to solve problem. In particular, upper bound squared error has convergence rate <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/tsp.2022.3229642 article EN IEEE Transactions on Signal Processing 2022-01-01
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