Yufeng Liu

About

Yufeng Liu is a Professor at the University of North Carolina at Chapel Hill, specializing in Statistical Machine Learning, Data Mining, and Bioinformatics. He holds a B.S. from Nankai University obtained in 1999, an M.S. from The Ohio State University in 2001, and a Ph.D. from The Ohio State University completed in 2004. His research focuses on statistical machine learning and data science, with particular interests in high-dimensional data analysis, nonparametric statistics and functional estimation, statistical genetics and genomics, neuroimaging data analysis, and bioinformatics. Professor Liu's work involves the design and analysis of experiments, contributing to the advancement of methods in these areas.

Research topics

• Medicine
• Computer Science
• Engineering
• Biology
• Artificial Intelligence
• Statistics
• Internal medicine
• Medical emergency
• Emergency medicine
• Mathematics

Selected publications

• Forecasting emergency department hourly occupancy using time series analysis

  The American Journal of Emergency Medicine · 2021 · 46 citations

  PublisherDOI

• Disparities in emergency department prioritization and rooming of patients with similar triage acuity score

  Academic Emergency Medicine · 2022 · 13 citations

  BACKGROUND: We identify patient demographic and emergency department (ED) characteristics associated with rooming prioritization decisions among ED patients who are assigned the same triage acuity score. METHODS: We performed a retrospective analysis of adult ED patients with similar triage acuity, as defined as an Emergency Severity Index (ESI) of 3, at a large academic medical center, during 2019. Violations of a first-come-first-served (FCFS) policy for rooming are identified and used to crea…

  PublisherDOI

• An efficient optimisation approach for designing truss structures featuring a small number of modules

  Engineering Structures · 2025-01-27 · 3 citations

  articleOpen access1st authorCorresponding
  PublisherDOI

• Decoding longitudinal microbiome trajectories: an interpretable machine learning approach for biomarker discovery and prediction

  Briefings in Bioinformatics · 2025-07-01 · 1 citations

  articleOpen access

  Information generated from longitudinally sampled microbial data has the potential to illuminate important aspects of development and progression for many human conditions and diseases. Identifying microbial biomarkers and their time-varying effects can not only advance our understanding of pathogenetic mechanisms, but also facilitate early diagnosis and guide optimal timing of interventions. However, longitudinal predictive modeling of highly noisy and dynamic microbial data (e.g. metagenomics)…

  PublisherOA PDFDOI

• Rate-Optimal Online Learning for Dynamic Assortment Selection with Positioning

  Operations Research · 2025-08-11 · 1 citations

  articleSenior author

  This study addresses a key challenge in online retail: product positioning. The authors propose a novel online learning framework called dynamic assortment selection with positioning (DAP). Unlike traditional models that focus solely on item selection, DAP also learns optimal product placement to maximize revenue. The researchers model customer choices using a multinomial logit framework, where item appeal depends on both intrinsic preference and display position. They demonstrate that ignoring…

  PublisherDOI

Recent grants

• Graph-based Learning and Inference for Sparse Regularized Techniques

  NSF · $120k · 2014–2018

• Flexible statistical machine learning techniques for cancer-related data

  NIH · $1.5M · 2010–2016

• BIGDATA: Collaborative Research: F: Foundations of Nonconvex Problems in BigData Science and Engineering: Models, Algorithms, and Analysis

  NSF · $300k · 2016–2020

Frequent coauthors

• Yang Zhou

  522 shared

• Kai Zhang

  East China Normal University

  150 shared

• Hui Shen

  Ohio Northern University

  56 shared

• D. Neil Hayes

  39 shared

• Yichao Wu

  35 shared

• J. S. Marron

  University of North Carolina at Chapel Hill

  33 shared

• Yingyong Hou

  Fudan University

  32 shared

• Lianxin Liu

  31 shared

Similar researchers at University of North Carolina at Chapel Hill

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• Yao Lih-93
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