Tiejun Tong

According to our database, Tiejun Tong authored at least 21 papers between 2008 and 2022.

Collaborative distances:

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

2022

Debiased learning and forecasting of first derivative.

Wenwu Wang, Jun Lu, Tiejun Tong, Zhonghua Liu

Knowl. Based Syst., 2022

Partially Linear Single-Index Model in the Presence of Measurement Error.

Hongmei Lin, Jianhong Shi, Tiejun Tong, Riquan Zhang

J. Syst. Sci. Complex., 2022

A rank-based high-dimensional test for equality of mean vectors.

Yanyan Ouyang, Jiamin Liu, Tiejun Tong, Wangli Xu

Comput. Stat. Data Anal., 2022

Sequence Q-Learning Algorithm for Optimal Mobility-Aware User Association.

Wanjun Ning, Zimu Xu, Jingjin Wu, Tiejun Tong

Proceedings of the IEEE International Conference on Communications, 2022

2020

Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests.

Hailun Wang, Pak Sham, Tiejun Tong, Herbert Pang

IEEE J. Biomed. Health Informatics, 2020

2019

Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression.

Wenwu Wang, Ping Yu, Lu Lin, Tiejun Tong

J. Mach. Learn. Res., 2019

A statistical normalization method and differential expression analysis for RNA-seq data between different species.

Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin, Jun Zhang

BMC Bioinform., 2019

2018

Optimal difference-based estimation for partially linear models.

Yuejin Zhou, Yebin Cheng, Wenlin Dai, Tiejun Tong

Comput. Stat., 2018

Classifying next-generation sequencing data using a zero-inflated Poisson model.

Yan Zhou, Xiang Wan, Baoxue Zhang, Tiejun Tong

Bioinform., 2018

2017

Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models.

Yujie Li, Gaorong Li, Heng Lian, Tiejun Tong

J. Multivar. Anal., 2017

GD-RDA: A New Regularized Discriminant Analysis for High-Dimensional Data.

Yan Zhou, Baoxue Zhang, Gaorong Li, Tiejun Tong, Xiang Wan

J. Comput. Biol., 2017

2016

Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data.

Kai Dong, Herbert Pang, Tiejun Tong, Marc G. Genton

J. Multivar. Anal., 2016

Optimal Estimation of Derivatives in Nonparametric Regression.

Wenlin Dai, Tiejun Tong, Marc G. Genton

J. Mach. Learn. Res., 2016

NBLDA: negative binomial linear discriminant analysis for RNA-Seq data.

Kai Dong, Hongyu Zhao, Tiejun Tong, Xiang Wan

BMC Bioinform., 2016

2014

Learning to improve medical decision making from imbalanced data without a priori cost.

Xiang Wan, Jiming Liu, William K. Cheung, Tiejun Tong

BMC Medical Informatics Decis. Mak., 2014

Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices.

Cheng Wang, Tiejun Tong, Longbing Cao, Baiqi Miao

J. Multivar. Anal., 2014

A Least Squares Method for Variance Estimation in Heteroscedastic Nonparametric Regression.

Yuejin Zhou, Yebin Cheng, Tiejun Tong

J. Appl. Math., 2014

2012

Gene Selection Using Iterative Feature Elimination Random Forests for Survival Outcomes.

Herbert Pang, Stephen L. George, Ken Hui, Tiejun Tong

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

James-Stein type estimators of variances.

Tiejun Tong, Homin Jang, Yuedong Wang

J. Multivar. Anal., 2012

Improved mean estimation and its application to diagonal discriminant analysis.

Tiejun Tong, Liang Chen, Hongyu Zhao

Bioinform., 2012

2008

Considering dependence among genes and markers for false discovery control in eQTL mapping.

Liang Chen, Tiejun Tong, Hongyu Zhao

Bioinform., 2008