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Honglang Wang
Associate Professor of Statistics Department of Mathematical Sciences School of Science Indiana University Indianapolis 402 N.Blackford St., Indianapolis, IN, 46202 Office: LD 270B Phone: (317) 274-7858 Fax: (317) 274-3460 Email: hlwang [at] iu [dot] edu |
Education
PhD in Statistics (2015): Department of Statistics and Probability, Michigan State University. Advisors: Yuehua Cui and Ping-Shou Zhong.Dual PhD in Quantitative Biology (2015): Natural Science, Michigan State University. Advisors: C. Robin Buell and Yuehua Cui.
MS in Mathematics (2010): Center of Mathematical Sciences, Zhejiang University. Advisor: Kefeng Liu.
BS in Mathematics and Applied Mathematics (2007): Department of Mathematics, Tianjin University, Tian, China.
See my Curriculum Vitae for more information.
Research Interests
Statistical Analysis for Longitudinal and Functional DataHigh Dimensional Statistical Inference and its Applications
Causal Inference
Machine Learning/Deep Learning
Nonparametric Statistics
Empirical Likelihood Methods and its Applications
Statistical Genetics and Statistical Genomics
Publications
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Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traits
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Comprehensive quantification of the responses of ecosystem production and respiration to drought time scale, intensity and timing in humid environments: A FLUXNET synthesis
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Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models
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A modified isotope-based method for potential high-frequency evapotranspiration partitioning
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Robust estimation of heterogeneous treatment effects: an algorithm-based approach
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Observed increasing water constraint on vegetation growth over the last three decades
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Robust Estimation of Heterogeneous Treatment Effect using Electronic Health Record Data
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Novel Keeling-plot-based methods to estimate the isotopic composition of ambient water vapor
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Gaussian Quadrature
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Robust graph change-point detection with application to brain evolvement study
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The Effects of Spatial Frequency and Colormap Characteristics on the Perception of 2D Pseudocolor Scalar Fields
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Expired Tidal Volume Variation in Extremely Low Birth Weight and Very Low Birth Weight Infants on Volume-Targeted Ventilation
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Bootstrap Methods: The Classical Theory and Recent Development
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Empirical Likelihood Ratio Tests for Coefficients in High Dimensional Heteroscedastic Linear Models
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Unified empirical likelihood ratio tests for functional concurrent linear models and the phase transition from sparse to dense functional data
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A provable smoothing approach for high dimensional generalized regression with applications in genomics
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Statistical identification of gene-gene interactions triggered by nonlinear environmental modulation
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A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interaction [PDF]
Honglang Wang, Tao He, Cen Wu, Ping-Shou Zhong, Yuehua Cui, BMC Proceedings 2014, 8(Suppl 1):S61 (17 June 2014) |
Funded Research Grants
§§§ Sole-PI, 07/2022-06/2024, NSF, DMS-2212928
§§§ Sole-PI, 09/2016-09/2017, NSF subcontract
News
§§§ July 2024: Invited Talk---Empirical Likelihood Inference for Functional Mean Models with Application to Human Cognitive Impairment, July 17-July 19, 2024 @ The 7th International Conference on Econometrics and Statistics (EcoSta 2024) - Beijing, China
§§§ June 2024: Invited Talk---Empirical Likelihood Based Efficient Semiparametric Inference for Longitudinal Data with Application to GAW 18 Data, June 28-June 30, 2024 @ 2024 ICSA China Conferences - Wuhan, China
§§§ April 2024: Invited Talk---Empirical Likelihood Based Efficient Inference for Sparse Functional Data Accounting for Within-Subject Correlation, Statistics Seminar, Department of Mathematics, Texas State University, April 12, 2024
§§§ April 2024: Invited Talk---Empirical Likelihood Based Efficient Inference for Sparse Functional Data Accounting for Within-Subject Correlation, Statistics Colloquium, Department of Mathematics and Statistics, University of Maryland Baltimore County (UMBC), April 12, 2024
§§§ July 2023: Invited Talk---Robust Estimation of Heterogeneous Treatment Effects, July 17, 2023 @ 64th ISI World Statistics Congress - Ottawa, Canada
§§§ June 2023: Invited Talk---Empirical Likelihood Inference for Functional Mean Models with Application to Human Cognitive Impairment, June 14, 2023 @ ICSA Applied Statistics Symposium 2023, Ann Arbor, MI
§§§ May 2023: Yishan Cui started summer internship at Sanofi in Boston!
§§§ May 2023: Xiang Wang got Student Poster Competition Award at the 8th Workshop on Biostatistics and Bioinformatics, May 5-7, 2023, Atlanta, GA. Congratulations!
§§§ November 2022: Invited Talk---Robust Estimation of Heterogeneous Treatment Effects Using Electronic Health Record Data, November 2nd, 2022 @ Department of Epidemiology & Biostatistics Seminar, University of Arizona @ Zoom
§§§ August 2022: I am now promoted to Associate Professor with tenure.
§§§ July 2022: Xiang Wang passes his advanced topic exam and becomes a PhD candidate. Congratulations!
§§§ April 2022: Invited Talk---Multivariate partial linear varying coefficients model for GxE studies with multiple longitudinal traits, April 1st, 2022 @ The Department of Bioinformatics and Biostatistics Seminars, University of Louisville @ Zoom
§§§ March 2022: As a Sole-PI, I receive the NSF grant DMS-2212928. Thanks NSF for supporting my research!
Teaching
STAT 51200: Applied Regression Analysis (Fall 2016, Fall 2023, Fall 2024)
STAT 52100: Statistical Computing (Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2023, Fall 2024)
STAT 42100: Statistical Modelling Using R and SAS (Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2023, Fall 2024)
STAT 51700: Statistical Inference (Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022)
STAT 41700: Statistical Theory (Spring 2019, Spring 2020)
STAT 35000: Introduction to Statistics (Fall 2015-Summer 2022)
STAT 62800: Advanced Statistical Inference---Nonparametric Regression (2017 Spring)
2012 Summer, Intro Stats (STT200) @ MSU
2013 Summer, Intro Prob & Stat for Business (STT315) @ MSU
Service
2018 Spring-present, Organizer of Statistics Seminars @ IUPUI.
2018 Fall-present, Faculty advisor of IUPUI ASA Student Chapter
2013 Fall, Chairman of Statistics Student Seminars (SSS) on Paper Reading @ MSU.
2012 Fall-2013 Spring, Chairman of Statistics Student Seminars (SSS) on Graphical Models @ MSU.
2011 Fall-2012 Spring, Chairman of Statistics Student Seminars (SSS) @ MSU.
Honors and Awards
Purdue Research Foundation Summer Faculty Grant (2019), Purdue University
Purdue Research Foundation International Travel Grant (2018), Purdue University
Travel Award for the "20th Meeting of New Researchers in Statistics and Probability" (2018), Institute of Mathematical Statistics
NSF Travel Award for The Nonparametric Statistics Workshop entitled "Integration of Theory, Methods and Applications" (2016), University of Michigan, Ann Arbor
College of Natural Science US15 Dissertation Completion Fellowship (2015), Michigan State University
College of Natural Science US14 Dissertation Continuation Fellowship (2014), Michigan State University
William L Harkness Teaching Award, Michigan State University (2014)
Travel Award of GAW18 (2012)
Second-class Award of Honor for Graduate, Zhejiang University (2008)
First Prize in the 13th National Graduate Summer School in Mathematics (2008)
Scholarship for Academic Excellence, Tianjin University (2005-2006)
6th Outstanding Student of Science and Technology in Tianjin University (2005)
Tianjin University-Yuandong Chunguang Scholarship (2005)
Scholarship for Academic Excellence, Tianjin University (2004)
Personal
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