Hua Zhou

Works (25)

Updated: September 9th, 2025 09:24

2018 article

Algorithms for Fitting the Constrained Lasso

Gaines, B. R., Kim, J., & Zhou, H. (2018, May 18). Journal of Computational and Graphical Statistics.

By: B. Gaines n, J. Kim * & H. Zhou*

topics (OpenAlex): Statistical Methods and Inference; Reservoir Engineering and Simulation Methods; Risk and Portfolio Optimization
TL;DR: This work employs the alternating direction method of multipliers (ADMM) and also derive an efficient solution path algorithm for solving the constrained lasso problem, and shows that, for an arbitrary penalty matrix, the generalized lasso can be transformed to a constrainedLasso, while the converse is not true. (via Semantic Scholar)
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Source: NC State University Libraries
Added: December 31, 2018

2018 article

MM ALGORITHMS FOR VARIANCE COMPONENT ESTIMATION AND SELECTION IN LOGISTIC LINEAR MIXED MODEL

Hu, L., Lu, W., Zhou, J., & Zhou, H. (2018, January 4). Statistica Sinica, Vol. 29, pp. 1585–1605.

By: L. Hu n, W. Lu n , J. Zhou * & H. Zhou*

author keywords: Generalized linear mixed model (GLMM); Laplace approximation; MM algorithm; variance components selection
topics (OpenAlex): Genetic and phenotypic traits in livestock; Genetic Mapping and Diversity in Plants and Animals; Genetic Associations and Epidemiology
TL;DR: Two efficient and stable minorization-maximization algorithms for estimating variance components based on a Laplace approximation of the logistic model and a simple iterative soft-thresholding algorithm for variance component selection using the maximum penalized approximated likelihood. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: July 29, 2019

2018 article

MM Algorithms for Variance Components Models

Zhou, H., Hu, L., Zhou, J., & Lange, K. (2018, November 28). Journal of Computational and Graphical Statistics.

By: H. Zhou*, L. Hu n, J. Zhou * & K. Lange *

author keywords: Global convergence; Linear mixed model (LMM); Matrix convexity; Maximum a posteriori (MAP) estimation; Minorization-maximization (MM); Multivariate response; Penalized estimation; Variance components model
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Direction-of-Arrival Estimation Techniques
TL;DR: The global convergence of the MM algorithm to a Karush–Kuhn–Tucker point is established and it is demonstrated that it converges faster than the classical EM algorithm when the number of variance components is greater than two and all covariance matrices are positive definite. (via Semantic Scholar)
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Source: Web Of Science
Added: July 15, 2019

2018 article

Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis

Zhang, X., Li, L., Zhou, H., Zhou, Y., & Shen, D. (2018, February 8). Statistica Sinica.

By: X. Zhang n, L. Li*, H. Zhou*, Y. Zhou * & D. Shen *

author keywords: Generalized estimating equations; longitudinal imaging; low rank tensor decomposition; magnetic resonance imaging; multidimensional array; tensor regression
topics (OpenAlex): Tensor decomposition and applications; Advanced Neuroimaging Techniques and Applications; Sparse and Compressive Sensing Techniques
TL;DR: The proposed GEE approach accounts for intra-subject correlation, and an imposed low-rank structure on the coefficient tensor effectively reduces the dimensionality in several tensor generalized estimating equations (GEEs). (via Semantic Scholar)
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Source: Web Of Science
Added: September 30, 2019

2015 article

IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity

Sun, W., Liu, Y., Crowley, J. J., Chen, T.-H., Zhou, H., Chu, H., … Villena, F. P.-M. D. (2015, June 24). Journal of the American Statistical Association.

By: W. Sun, Y. Liu, J. Crowley *, T. Chen, H. Zhou n, H. Chu *, S. Huang *, P. Kuan * ...

author keywords: Differential isoform expression; Differential isoform usage; Isoform; Penalized regression; RNA-seq
topics (OpenAlex): Cancer-related molecular mechanisms research; RNA Research and Splicing; RNA modifications and cancer
TL;DR: A statistical method named IsoDOT is developed to assess differential isoform expression (DIE) and differentialisoform usage (DIU) using RNA-seq data and identifies a group of genes whose isoform usages respond to haloperidol treatment. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2015 article

Path following in the exact penalty method of convex programming

Zhou, H., & Lange, K. (2015, February 17). Computational Optimization and Applications.

By: H. Zhou n & K. Lange *

author keywords: Constrained convex optimization; Exact penalty; Geometric programming; Ordinary differential equation; Quadratically constrained quadratic programming; Regularization; Semidefinite programming
topics (OpenAlex): Sparse and Compressive Sensing Techniques; Advanced Optimization Algorithms Research; Statistical Methods and Inference
TL;DR: Instead of performing optimization at a single penalty constant, the solution is traced as a continuous function of the penalty constant and path following starts at the unconstrained solution and follows the solution path as the penalty Constant increases. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2015 article

Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test

Zhao, N., Chen, J., Carroll, I. M., Ringel-Kulka, T., Epstein, M. P., Zhou, H., … Wu, M. C. (2015, May 1). The American Journal of Human Genetics.

By: N. Zhao *, J. Chen *, I. Carroll *, T. Ringel-Kulka *, M. Epstein *, H. Zhou n, J. Zhou *, Y. Ringel*, H. Li *, M. Wu *

MeSH headings : Computer Simulation; Genetics, Population; High-Throughput Nucleotide Sequencing; Humans; Microbiota / genetics; Models, Statistical; Phylogeny; Polymorphism, Single Nucleotide; Software
topics (OpenAlex): Gut microbiota and health; Metabolomics and Mass Spectrometry Studies; Gene expression and cancer classification
TL;DR: The microbiome regression-based kernel association test (MiRKAT), which directly regresses the outcome on the microbiome profiles via the semi-parametric kernel machine regression framework, is proposed and applied to real microbiome datasets to show that microbial communities are associated with smoking and with fecal protease levels after confounders are controlled for. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2014 article

A Brief Survey of Modern Optimization for Statisticians

Lange, K., Chi, E. C., & Zhou, H. (2014, February 17). International Statistical Review, Vol. 82, pp. 46–70.

By: K. Lange *, E. Chi*  & H. Zhou n

author keywords: acceleration; augmented Lagrangian; penalization; MM algorithm; Newton's method; Block relaxation
topics (OpenAlex): Statistical Methods and Inference; Control Systems and Identification; Advanced Multi-Objective Optimization Algorithms
TL;DR: This broad survey stresses a few important principles in algorithm design, and suggests that it is more productive to mix and match them than view these principles in isolation. (via Semantic Scholar)
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Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 article

ConvexLAR: An Extension of Least Angle Regression

Xiao, W., Wu, Y., & Zhou, H. (2014, September 17). Journal of Computational and Graphical Statistics.

By: W. Xiao n, Y. Wu n & H. Zhou n

author keywords: Solution path; Group lasso; Regularization; Ordinary differential equation (ODE); Lasso
topics (OpenAlex): Statistical Methods and Inference; Advanced Statistical Methods and Models; Statistical Methods and Bayesian Inference
TL;DR: This article proposes a ConvexLAR algorithm that works for any convex loss function and naturally extends to group selection and data adaptive variable selection and yields new exact path algorithms for certain penalty methods such as a conveX loss function with lasso or group lasso penalty. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2014 article

Rejoinder

Lange, K., Chi, E. C., & Zhou, H. (2014, April 1). International Statistical Review, Vol. 82, pp. 81–89.

By: K. Lange *, E. Chi*  & H. Zhou n

Contributors: K. Lange *, E. Chi  & H. Zhou n

topics (OpenAlex): Optimal Experimental Design Methods; Statistical Methods and Bayesian Inference; Genetics and Plant Breeding
Sources: Web Of Science, ORCID
Added: August 6, 2018

2013 article

A Generic Path Algorithm for Regularized Statistical Estimation

Zhou, H., & Wu, Y. (2013, December 3). Journal of the American Statistical Association.

By: H. Zhou n & Y. Wu n

author keywords: Gaussian graphical model; Generalized linear model; Lasso; Log-concave density estimation; Ordinary differential equations; Quasi-likelihoods; Regularization; Shape restricted regression; Solution path
topics (OpenAlex): Statistical Methods and Inference; Sparse and Compressive Sensing Techniques; Advanced Statistical Methods and Models
TL;DR: This article proposes an exact path solver based on ordinary differential equations (EPSODE) that works for any convex loss function and can deal with generalized ℓ1 penalties as well as more complicated regularization such as inequality constraints encountered in shape-restricted regressions and nonparametric density estimation. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2013 article

Distance majorization and its applications

Chi, E. C., Zhou, H., & Lange, K. (2013, June 26). Mathematical Programming, pp. 1–28.

By: E. Chi* , H. Zhou n & K. Lange *

author keywords: Constrained optimization; Majorization-minimization (MM); Sequential unconstrained minimization; Projection
topics (OpenAlex): Sparse and Compressive Sensing Techniques; Face and Expression Recognition; Multi-Criteria Decision Making
TL;DR: This proposal is an instance of a sequential unconstrained minimization technique and revolves around three ideas: the majorization-minimization principle, the classical penalty method for constrained optimization, and quasi-Newton acceleration of fixed-point algorithms. (via Semantic Scholar)
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Sources: Web Of Science, ORCID
Added: August 6, 2018

2013 article

Mendel: the Swiss army knife of genetic analysis programs

Lange, K., Papp, J. C., Sinsheimer, J. S., Sripracha, R., Zhou, H., & Sobel, E. M. (2013, April 22). Bioinformatics.

By: K. Lange  n, J. Papp  n, J. Sinsheimer  n, R. Sripracha n, H. Zhou n & E. Sobel  n

MeSH headings : Chromosome Mapping / methods; Data Interpretation, Statistical; Genetic Linkage; Genome-Wide Association Study; Humans; Pedigree; Software
topics (OpenAlex): Genetic Associations and Epidemiology; Gene expression and cancer classification; Genetic Mapping and Diversity in Plants and Animals
TL;DR: UNLABELLED Mendel is one of the few statistical genetics packages that provide a full spectrum of gene mapping methods, ranging from parametric linkage in large pedigrees to genome-wide association with rare variants. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2013 article

Regularized Matrix Regression

Zhou, H., & Li, L. (2013, August 12). Journal of the Royal Statistical Society Series B (Statistical Methodology).

By: H. Zhou n & L. Li n

topics (OpenAlex): Sparse and Compressive Sensing Techniques; Numerical methods in inverse problems; Advanced Multi-Objective Optimization Algorithms; Ultrasound Imaging and Elastography
TL;DR: A class of regularized matrix regression methods based on spectral regularization is proposed, and a degrees‐of‐freedom formula is derived to facilitate model selection along the regularization path. (via Semantic Scholar)
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16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2013 article

Tensor Regression with Applications in Neuroimaging Data Analysis

Zhou, H., Li, L., & Zhu, H. (2013, March 25). Journal of the American Statistical Association.

By: H. Zhou n, L. Li n & H. Zhu *

author keywords: Brain imaging; Dimension reduction; Generalized linear model; Magnetic Resonance Imaging; Multidimensional array; Tensor regression
topics (OpenAlex): Tensor decomposition and applications; Advanced Neuroimaging Techniques and Applications; Mathematical Approximation and Integration
TL;DR: A new family of Tensor regression models that efficiently exploit the special structure of tensor covariates are proposed and ultrahigh dimensionality is reduced to a manageable level, resulting in efficient estimation and prediction. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 article

A Path Algorithm for Constrained Estimation

Zhou, H., & Lange, K. (2012, August 28). Journal of Computational and Graphical Statistics.

By: H. Zhou n & K. Lange*

author keywords: Exact penalty; l(1) regularization; Shape-restricted regression
topics (OpenAlex): Statistical Methods and Inference; Advanced Statistical Methods and Models; Control Systems and Identification; Stochastic Gradient Optimization Techniques; Advanced Optimization Algorithms Research
TL;DR: A new path-following algorithm for quadratic programming that replaces hard constraints by what are called exact penalties is proposed, which can be framed entirely in terms of the sweep operator of regression analysis. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2012 journal article

Determining duration of HER2-targeted therapy using stem cell extinction models

PLoS One, 7(12).

By: L. Riley, H. Zhou, K. Lange, J. Sinsheimer & M. Sehl

Source: NC State University Libraries
Added: August 6, 2018

2012 article

EM vs MM: A case study

Zhou, H., & Zhang, Y. (2012, June 2). Computational Statistics & Data Analysis.

By: H. Zhou n & Y. Zhang n

author keywords: Convergence rate; Dirichlet-multinomial distribution; EM algorithm; MM algorithm
topics (OpenAlex): Bayesian Methods and Mixture Models; Statistical Methods and Bayesian Inference; Statistical Distribution Estimation and Applications
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Source: Web Of Science
Added: August 6, 2018

2012 conference paper

Fast genome-wide QTL association mapping with pedigrees

Genetic Epidemiology, 36(7), 771–772.

By: H. Zhou, E. Sobel & K. Lange

Source: NC State University Libraries
Added: August 6, 2018

2012 article

Genotype imputation via matrix completion

Chi, E. C., Zhou, H., Chen, G. K., Vecchyo, D. O. D., & Lange, K. (2012, December 10). Genome Research, Vol. 23, pp. 509–518.

By: E. Chi* , H. Zhou n, G. Chen*, D. Vecchyo * & K. Lange *

MeSH headings : Algorithms; Artificial Intelligence; Computer Simulation; Genome, Human; Genotype; HapMap Project; Humans; Microarray Analysis; Models, Genetic; Polymorphism, Single Nucleotide; Software
topics (OpenAlex): Genetic Mapping and Diversity in Plants and Animals; Gene expression and cancer classification; Genetic and phenotypic traits in livestock
TL;DR: Compared with leading imputation programs, the matrix completion algorithm embodied in the program MENDEL-IMPUTE achieves comparable imputation accuracy while reducing run times significantly. (via Semantic Scholar)
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Sources: Web Of Science, ORCID
Added: August 6, 2018

2012 article

MM algorithms for geometric and signomial programming

Lange, K., & Zhou, H. (2012, October 25). Mathematical Programming.

By: K. Lange* & H. Zhou n

author keywords: Arithmetic-geometric mean inequality; Geometric programming; Global convergence; MM algorithm; Linearly constrained quadratic programming; Parameter separation; Penalty method; Signomial programming
topics (OpenAlex): Advanced Optimization Algorithms Research; VLSI and FPGA Design Techniques; Advanced Multi-Objective Optimization Algorithms; Optimization and Variational Analysis; Spacecraft Dynamics and Control
TL;DR: New algorithms for signomial programming, a generalization of geometric programming, are derived based on a generic principle for optimization called the MM algorithm, which can converge to a boundary point or to one point of a continuum of minimum points. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2012 article

Nonlinear dimension reduction with Wright–Fisher kernel for genotype aggregation and association mapping

Zhu, H., Li, L., & Zhou, H. (2012, September 3). Bioinformatics.

By: H. Zhu *, L. Li n & H. Zhou n

MeSH headings : Algorithms; Genetic Association Studies; Genotype; High-Throughput Nucleotide Sequencing; Humans; Markov Chains; Polymorphism, Single Nucleotide
topics (OpenAlex): Genetic Associations and Epidemiology; Gene expression and cancer classification; Genetic and phenotypic traits in livestock
TL;DR: This work proposes a joint association test strategy based on a nonlinear supervised dimension reduction approach for effective SNP information aggregation and a novel kernel specially designed for qualitative genotype data that demonstrates superior performance in identifying causal genes over existing methods across a large variety of disease models simulated from sequence data of real genes. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2011 article

Extinction models for cancer stem cell therapy

Sehl, M., Zhou, H., Sinsheimer, J. S., & Lange, K. L. (2011, October 13). Mathematical Biosciences.

By: M. Sehl *, H. Zhou n, J. Sinsheimer * & K. Lange *

author keywords: Birth-death process; Cancer; Stem cells; Extinction probability; Finite Fourier transform; Stochastic simulation
MeSH headings : Cell Death / drug effects; Computer Simulation; Humans; Markov Chains; Models, Biological; Neoplasms / drug therapy; Neoplasms / pathology; Neoplastic Stem Cells / drug effects; Neoplastic Stem Cells / pathology; Stochastic Processes
topics (OpenAlex): Mathematical Biology Tumor Growth
TL;DR: Borders are set on the killing differential (difference between death rates of cancer stem cells and normal stem cells) that must exist for the survival of an adequate number of normalstem cells and the impact of quiescence (the resting state) on stem cell dynamics. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2010 article

Association screening of common and rare genetic variants by penalized regression

Zhou, H., Sehl, M. E., Sinsheimer, J. S., & Lange, K. (2010, August 6). Bioinformatics.

By: H. Zhou n, M. Sehl  n, J. Sinsheimer  n & K. Lange  n

MeSH headings : Breast Neoplasms / genetics; Databases, Factual; Female; Genetic Predisposition to Disease; Genetic Variation; Genome-Wide Association Study / methods; Humans; Regression Analysis
topics (OpenAlex): Genetic Associations and Epidemiology; Genomic variations and chromosomal abnormalities; Genomics and Rare Diseases
TL;DR: The latest research on penalized estimation methods in genome-wide association studies to the realm of rare variants and findings on breast cancer data replicate previous results and shed light on variant effects within genes. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2010 article

Graphics Processing Units and High-Dimensional Optimization

Zhou, H., Lange, K., & Suchard, M. A. (2010, August 1). Statistical Science.

By: H. Zhou n, K. Lange & M. Suchard

author keywords: Block relaxation; EM and MM algorithms; multidimensional scaling; nonnegative matrix factorization; parallel computing; PET scanning
topics (OpenAlex): Medical Image Segmentation Techniques; Statistical and numerical algorithms; Statistical Methods and Inference; Parallel Computing and Optimization Techniques; Stochastic Gradient Optimization Techniques; Medical Imaging Techniques and Applications
TL;DR: The utility of GPUs in nonnegative matrix factorization, PET image reconstruction, and multidimensional scaling is demonstrated and it is demonstrated that speedups of 100 fold can easily be attained. (via Semantic Scholar)
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Added: August 6, 2018

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