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Faculty

Faculty

Kejun He

Title:Assistant Professor

Research Interests:Nonlinear Dimension Reduction, Optimization over Manifold, Simultaneous Sparse and Reduced Rank Regression, Functional Data Analysis, Survival Analysis, Time Series Analysis, Statistical Genetics/Genomics, Large Sample Theory and Econometrics

Contact Information:firstnameLastname@ruc.edu.cn

Curriculum vitae

I currently am an Assistant Professor in Institute of Statistics and Big Data, Renmin University of China. Before joining Renmin University of China, I got my Ph. D. degree in Statistics from Texas A&M University in 2017.


RESEARCH INTERESTS


• Machine Learning: Nonlinear Dimension Reduction, Optimization over Manifold Structure

• Statistical Methodology: Simultaneous Sparse and Reduced Rank Regression, Functional Data Analysis, Survival Analysis, Time Series Analysis

• Statistical Genetics

• Large Sample Theory and Econometrics


PUBLICATIONS


1. He, K., Lian, H., Ma, S., and Huang, J. Z. (2018). Dimensionality reduction and variable selection in multivariate varying-coefficient models with a large number of covariates. Journal of the American Statistical Association , 113(522), 746-754.

2. Whitfield-Cargile, C. M., Cohen, N. D., He, K., Ivanov, I., Goldsby, J. S., Chamoun- Emanuelli, A., Davidson, L. A., and Chapkin, R. S. (2017). Non-invasive transcriptome is reflective of tissue-level transcriptome in a model of NSAID enteropathy. Scientific Reports , 7, 14687.

3. Xia, Q., He, K., and Niu, C. (2017). A Model-adaptive test for parametric single-index time series models. Journal of Time Series Analysis , 38(6), 981-999.

4. He, K. and Huang, J. Z. (2016). Asymptotic properties of adaptive group Lasso for sparse reduced rank regression. Stat , 5(1), 251-261.

5. He, K. and He, S. (2017+). Principal component reduction of a nonparametric additive model with variable selection. Under review in Journal of Machine Learning Research .

6. He, K., Qian, X., Donovan, S. M., Chapkin, R., and Ivanov, I. (2017+). An application of sCCA for integrative analysis of diet-dependent interaction between gut microbiota and host in neonates. (Submitted).


RESEARCH GRANTS


* Functional CCA Modeling for Bivariate Curve Data, PI, Renmin University of China, 2018--2019

* Simultaneous Low Rank and Sparsity Structure in Nonparametric Modeling, PI, National Natural Science Foundation of China, 2019--2021

* Estimation of Functional Integral Operators with Geometric Reduced Rank Models, co-PI (PI: Shiyuan He), National Natural Science Foundation of China, 2019--2021