Hui Jiang

Professor
Department of Biostatistics
School of Public Health
University of Michigan

Contact Information

M4523 SPH II
1415 Washington Heights
Ann Arbor, Michigan 48109-2029

Office: (734) 764-6742

E-mail: jianghui AT umich.edu

Professional Summary

Hui Jiang is a Professor in the Department of Biostatistics at University of Michigan. He received his Ph.D. in Computational and Mathematical Engineering from Stanford University. Before joining the University of Michigan, he was a postdoctoral scholar in the Department of Statistics and Genome Technology Center at Stanford University. He is interested in developing statistical and computational methods for the analysis of large-scale biological data generated using modern high-throughput technologies.

Research Interests

  • Statistical Genomics and Bioinformatics
    • High-throughput genomics, sequencing data, RNA-Seq, gene expression, cancer genomics
  • Computational Statistics
    • Statistical computing, optimization, resampling, high-dimensional data, penalized models, variable selection, machine learning

Software & Programs

Selected Publications (Google Scholar)

  • Wang M, Fontaine S, Jiang H, Li G (2024) ADAPT: Analysis of Microbiome Differential Abundance by Pooling Tobit Models
    Bioinformatics. [online][code]

  • Tran L, Li G, Luo L, Jiang H (2024) A fast solution to the lasso problem with equality constraints
    Journal of Computational and Graphical Statistics, 33 (3): 804-813. [online][code]

  • Shi Y, Shi W, Wang M, Lee J, Kang H, Jiang H (2023) Accurate and fast small p-value estimation for permutation tests in high-throughput genomic data analysis with the cross-entropy method
    Statistical Applications in Genetics and Molecular Biology, 22 (1). [online][arXiv][code]

  • Zhai J, Jiang H (2023) Two-sample test with g-modeling and its applications
    Statistics in Medicine, 42 (1): 89-104. [online][code]

  • Tran L, He K, Wang D, Jiang H (2023) A Cross-Validation Statistical Framework for Asymmetric Data Integration
    Biometrics, 79 (2): 1280-1292. [online][code]

  • Zhai J, Ji H, Jiang H (2023) Reconstruction of Single-Cell Trajectories Using Stochastic Tree Search
    Genes, 14(2), 318. [online][code]

  • Zhu Y, Shen X, Jiang H, Wong WH (2023) Collaborative multilabel classification
    Journal of the American Statistical Association, 118 (542): 913-924.     [online]

  • Shi Y, Lee J, Kang H, Jiang H (2022) A Two-part Mixed Model for Differential Expression Analysis in Single-cell High-throughput Gene Expression Data
    Genes, 13(2), 377. [online][code]

  • Wu W, Taylor, JMG, Brouwer AF, Luo L, Kang J, Jiang H, He K (2022) Scalable Proximal Methods for Cause-Specific Hazard Modeling with Time-Varying Coefficients
    Lifetime Data Analysis, 28: 194-218.     [online]

  • Liu K, Shen L, Jiang H (2019) Joint Between-Sample Normalization and Differential Expression Detection through L0-regularized Regression
    BMC Bioinformatics, 20(Suppl 16): 593. [online][code]

  • Shi Y, Wang M, Shi W, Lee J, Kang H, Jiang H (2019) Accurate and Efficient Estimation of Small P-values with the Cross-Entropy Method: Applications in Genomic Data Analysis
    Bioinformatics, 35 (14): 2441-2448. [online][arXiv][code]

  • Liu K, Ye J, Yang Y, Shen L, Jiang H (2019) A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq data
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16 (2): 442-454. [online][arXiv][code]

  • Liu T, Jiang H (2019) Minimizing Sum of Truncated Convex Functions and its Applications
    Journal of Computational and Graphical Statistics, 28 (1): 1-10. [online][arXiv][code]

  • Segal B, Elliott M, Braun T, Jiang H (2018) P-splines with an l1 penalty for repeated measures
    Electronic Journal of Statistics, 12 (2): 3554-3600. [online][arXiv][code]

  • Segal B, Braun T, Elliott M, Jiang H (2018) Fast Approximation of Small p-values in Permutation Tests by Partitioning the Permutations
    Biometrics, 74 (1): 196-206. [online][arXiv][software][code]

  • He K, Zhou X, Jiang H, Wen X, Li Y (2018) False discovery control for penalized variable selections with high-dimensional covariates
    Statistical Applications in Genetics and Molecular Biology, 17(6).     [online]

  • Zhao L, Wu W, Feng D, Jiang H, Nguyen X (2018) Bayesian Analysis of RNA-Seq Data Using a Family of Negative Binomial Models
    Bayesian Analysis, 13 (2): 411-436.     [online]

  • Jiang H, Zhan T (2017) Unit-Free and Robust Detection of Differential Expression from RNA-Seq Data
    Statistics in Biosciences, 9: 178-199. [online][arXiv][code]

  • Jiang H, Mu JC, Yang K, Du C, Lu L, Wong WH (2016) Computational Aspects of Optional Polya Tree
    Journal of Computational and Graphical Statistics, 25 (1): 301-320. [online][arXiv][software]

  • Shi Y, Chinnaiyan AM, Jiang H (2015) rSeqNP: A non-parametric approach for detecting differential expression and splicing from RNA-Seq data
    Bioinformatics, 31 (13): 2222-2224. [online][software]

  • Jiang H, Salzman J (2015) A penalized likelihood approach for robust estimation of isoform expression
    Statistics and Its Interface, 8 (4): 437-445. [online][arXiv]

  • Lu L, Jiang H, Wong WH (2013) Multivariate density estimation by Bayesian Sequential Partitioning
    Journal of the American Statistical Association, 108 (504): 1402-1410.     [online]

  • Shi Y, Jiang H (2013) rSeqDiff: Detecting differential isoform expression from RNA-Seq data using hierarchical likelihood ratio test
    PLoS One, 8 (11): e79448.     [online][software]

  • Jiang H, Salzman J (2012) Statistical properties of an early stopping rule for resampling-based multiple testing
    Biometrika, 99 (4): 973-980.     [online]

  • Mu JC, Jiang H, Kiani A, Mohiyuddin M, Asadi NB, Wong WH (2012) Fast and Accurate Read Alignment for Resequencing
    Bioinformatics, 28 (18): 2366-2373.     [online][software]

  • Salzman J, Jiang H, Wong WH (2011) Statistical Modeling of RNA-Seq Data
    Statistical Science, 26 (1): 62-83.     [online][arXiv][technical report][software]

  • Li J, Jiang H, Wong WH (2010) Modeling Non-Uniformity in Short-Read Rates in RNA-Seq Data
    Genome Biology, 11: R50.     [online][software]

  • Au KF, Jiang H, Lin L, Xing Y, Wong WH (2010) Detection of Splice Junctions from Paired-End RNA-Seq Data by SpliceMap
    Nucleic Acids Research, 38 (14): 4570-4578.     [online][software]

  • Jiang H, Wang F, Dyer NP, Wong WH (2010) CisGenome Browser: A flexible tool for genomic data visualization
    Bioinformatics, 26 (14): 1781–1782.     [online][software]

  • Jiang H, Wong WH (2009) Statistical Inferences for Isoform Expression in RNA-Seq
    Bioinformatics, 25 (8): 1026–1032.     [online][preprint][software]

  • Hiller D, Jiang H, Xu W, Wong WH (2009) Identifiability of Isoform Deconvolution from Junction Arrays and RNA-Seq
    Bioinformatics, 25 (23): 3056-3059.     [online]

  • Kapur K, Jiang H, Xing Y, Wong WH (2008) Cross-Hybridization Modeling on Affymetrix Exon Arrays
    Bioinformatics, 24 (24): 2887-2893.     [online]

  • Jiang H, Wong WH (2008) SeqMap: Mapping Massive Amount of Oligonucleotides to the Genome
    Bioinformatics, 24 (20).     [online][software]

  • Ji H, Jiang H, Ma W, Johnson D, Myers R, Wong WH (2008) An Integrated Software System for Analyzing ChIP-chip and ChIP-seq Data
    Nature Biotechnology, 26: 1293-1300.     [online][software]

  • Jiang H, Liu Y, Su Z (2008) Optimizing Chemotherapy Scheduling by Iteratively Solving a Recurrence Equation
    Algorithmic Operations Research, 3(2).     [online]