Xiaoqian Liu

College of Sciences

Works (3)

Updated: April 11th, 2023 10:13

2022 article

A Sharper Computational Tool for L2E Regression

Liu, X., Chi, E. C., & Lange, K. (2022, October 6). TECHNOMETRICS, Vol. 10.

By: X. Liu n, E. Chi  & K. Lange *

author keywords: Distance penalization; Integral squared error criterion; MM principle; Newton's method; Penalized estimation
topics (OpenAlex): Sparse and Compressive Sensing Techniques; Statistical Methods and Inference; Advanced Statistical Methods and Models
TL;DR: The majorization-minimization (MM) principle is adopted to design a new algorithm for updating the vector of regression coefficients that achieves faster convergence than the previous alternating proximal gradient descent algorithm by Chi and Chi and improves performance in coefficient estimation and structure recovery. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 8, 2022

2022 journal article

Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty

PATTERN RECOGNITION LETTERS, 156, 60–66.

By: X. Liu n & E. Chi 

author keywords: Convexity-preserving nonconvex strategy; Generalized minimax concave penalty; Linearly involved convexity-preserving  model; Feasibility problem; Saddle-point problem
topics (OpenAlex): Sparse and Compressive Sensing Techniques; Numerical methods in inverse problems; Photoacoustic and Ultrasonic Imaging
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16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 6, 2022

2021 article

An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions

2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 4432–4435.

By: X. Liu n, M. Vardhan *, Q. Wen*, A. Das *, A. Randles * & E. Chi 

MeSH headings : Coronary Artery Disease; Heart; Hemodynamics; Humans; Machine Learning; Stress, Mechanical
topics (OpenAlex): Coronary Interventions and Diagnostics; Cardiac Imaging and Diagnostics; Cardiovascular Function and Risk Factors
TL;DR: The experimental results show that CART can estimate a simple, interpretable, yet accurately predictive nonlinear model of TAWSS as a function of such features, and has the potential to refine predictions of disturbed hemodynamic flow based on an individual’s cardiac and lesion anatomy. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 30, 2021

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