Kejun He

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 7

Top Topics

Linear Regression

Observational Data

Conjugate Gradient

Locally Weighted

Top Venues

Stat. Anal. Data Min.

J. Comput. Graph. Stat.

Publications

Shuoli Chen, Kejun He, Shiyuan He, Yang Ni, Raymond K. W. Wong
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior. Technometrics 65 (4) (2023)
Qiang Xia, Heung Wong, Shirun Shen, Kejun He
Factor analysis for high-dimensional time series: Consistent estimation and efficient computation. Stat. Anal. Data Min. 15 (2) (2022)
Shiyuan He, Kejun He, Jianhua Z. Huang
Improved Estimation of High-dimensional Additive Models Using Subspace Learning. J. Comput. Graph. Stat. 31 (3) (2022)
Shiyuan He, Hanxuan Ye, Kejun He
Spline estimation of functional principal components via manifold conjugate gradient algorithm. Stat. Comput. 32 (6) (2022)
Fangting Zhou, Kejun He, Yang Ni
Causal discovery with heterogeneous observational data. UAI (2022)
Ya Zhou, Raymond K. W. Wong, Kejun He
Tensor Linear Regression: Degeneracy and Solution. IEEE Access 9 (2021)
Ya Zhou, Raymond K. W. Wong, Kejun He
CP Degeneracy in Tensor Regression. CoRR (2020)
Kejun He, Junyu Niu, Chaofeng Sha
DivRec: A Framework for Top-N Recommendation with Diversification in E-commerce. APWeb (2014)