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Hua Zhou
University of California, Los Angeles
58Publications
19H-index
1,128Citations
Publications 58
Newest
#1Jing Zhai (UA: University of Arizona)H-Index: 1
#2Kenneth S. Knox (UA: University of Arizona)H-Index: 29
Last.Jin Zhou (UA: University of Arizona)H-Index: 11
view all 5 authors...
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#1Hua Zhou (UCLA: University of California, Los Angeles)H-Index: 19
#2Janet S. Sinsheimer (UCLA: University of California, Los Angeles)H-Index: 42
Last.Kenneth Lange (UCLA: University of California, Los Angeles)H-Index: 56
view all 15 authors...
Statistical methods for genome-wide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory in future software. In our view, a collaborative effort of statistical geneticists is required to develop open source software targeted to genetic epidemiology. Our attempt to meet this need is called the OpenMendel project (https://openmendel.github.io). It aims to (1) enable in...
2 CitationsSource
#1Liuyi HuH-Index: 2
#2Wenbin LuH-Index: 18
Last.Hua ZhouH-Index: 19
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#1Xiang ZhangH-Index: 1
#2Lexin LiH-Index: 25
Last.Dou ShenH-Index: 84
view all 5 authors...
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#1Xiaoshan Li (Wells Fargo)H-Index: 2
#2Da Xu (UC: University of California)H-Index: 1
Last.Lexin Li (UC: University of California)H-Index: 25
view all 4 authors...
Neuroimaging data often take the form of high-dimensional arrays, also known as tensors. Addressing scientific questions arising from such data demands new regression models that take multidimensional arrays as covariates. Simply turning an image array into a vector would both cause extremely high dimensionality and destroy the inherent spatial structure of the array. In a recent work, Zhou et al. (J Am Stat Assoc, 108(502):540–552, 2013) proposed a family of generalized linear tensor regression...
16 CitationsSource
#1Joong-Ho WonH-Index: 1
#2Hua ZhouH-Index: 19
Last.Kenneth LangeH-Index: 56
view all 3 authors...
This paper studies a problem of maximizing the sum of traces of matrix quadratic forms on a product of Stiefel manifolds. This orthogonal trace-sum maximization (OTSM) problem generalizes many interesting problems such as generalized canonical correlation analysis (CCA), Procrustes analysis, and cryo-electron microscopy of the Nobel prize fame. For these applications finding global solutions is highly desirable but has been out of reach for a long time. For example, generalizations of CCA do not...
#1Brian R. Gaines (NCSU: North Carolina State University)H-Index: 2
#2Juhyun Kim (UCLA: University of California, Los Angeles)H-Index: 1
Last.Hua Zhou (UCLA: University of California, Los Angeles)H-Index: 19
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ABSTRACTWe compare alternative computing strategies for solving the constrained lasso problem. As its name suggests, the constrained lasso extends the widely used lasso to handle linear constraints...
14 CitationsSource
#1Kevin Doubleday (UA: University of Arizona)H-Index: 2
#2Hua Zhou (UCLA: University of California, Los Angeles)H-Index: 19
Last.Jin Zhou (UA: University of Arizona)H-Index: 11
view all 4 authors...
ABSTRACTWith new treatments and novel technology available, precision medicine has become a key topic in the new era of healthcare. Traditional statistical methods for precision medicine focus on subgroup discovery through identifying interactions between a few markers and treatment regimes. However, given the large scale and high dimensionality of modern datasets, it is difficult to detect the interactions between treatment and high-dimensional covariates. Recently, novel approaches have emerge...
1 CitationsSource
#1Jing Zhai (UA: University of Arizona)H-Index: 1
#2Juhyun Kim (UCLA: University of California, Los Angeles)H-Index: 1
Last.Jin Zhou (UA: University of Arizona)H-Index: 11
view all 6 authors...
High-throughput sequencing technology has enabled population-based studies of the role of the human microbiome in disease etiology and exposure response. Microbiome data are summarized as counts or composition of the bacterial taxa at different taxonomic levels. An important problem is to identify the bacterial taxa that are associated with a response. One method is to test the association of specific taxon with phenotypes in a linear mixed effect model, which incorporates phylogenetic informati...
1 CitationsSource
#1Eric C. ChiH-Index: 10
#2Brian R. GainesH-Index: 1
Last.Jian YangH-Index: 6
view all 5 authors...
Cluster analysis is a fundamental tool for pattern discovery of complex heterogeneous data. Prevalent clustering methods mainly focus on vector or matrix-variate data and are not applicable to general-order tensors, which arise frequently in modern scientific and business applications. Moreover, there is a gap between statistical guarantees and computational efficiency for existing tensor clustering solutions due to the nature of their non-convex formulations. In this work, we bridge this gap by...
7 Citations
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