Kejun He

According to our database, Kejun He authored at least 9 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior.

Shuoli Chen, Kejun He, Shiyuan He, Yang Ni, Raymond K. W. Wong

Technometrics, October, 2023

A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty.

Shiyuan He, Hanxuan Ye, Kejun He

J. Mach. Learn. Res., 2023

2022

Improved Estimation of High-dimensional Additive Models Using Subspace Learning.

Shiyuan He, Kejun He, Jianhua Z. Huang

J. Comput. Graph. Stat., July, 2022

Factor analysis for high-dimensional time series: Consistent estimation and efficient computation.

Qiang Xia, Heung Wong, Shirun Shen, Kejun He

Stat. Anal. Data Min., 2022

Spline estimation of functional principal components via manifold conjugate gradient algorithm.

Shiyuan He, Hanxuan Ye, Kejun He

Stat. Comput., 2022

Causal discovery with heterogeneous observational data.

Fangting Zhou, Kejun He, Yang Ni

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Tensor Linear Regression: Degeneracy and Solution.

Ya Zhou, Raymond K. W. Wong, Kejun He

IEEE Access, 2021

2020

CP Degeneracy in Tensor Regression.

Ya Zhou, Raymond K. W. Wong, Kejun He

CoRR, 2020

2014

DivRec: A Framework for Top-N Recommendation with Diversification in E-commerce.

Kejun He, Junyu Niu, Chaofeng Sha

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014