Tiejun Tong

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 14

Top Topics

Discriminant Analysis

Dimensional Data

Top Venues

J. Multivar. Anal.

J. Mach. Learn. Res.

BMC Medical Informatics Decis. Mak.

Publications

Wanjun Ning, Zimu Xu, Jingjin Wu, Tiejun Tong
Sequence Q-Learning Algorithm for Optimal Mobility-Aware User Association. ICC (2022)
Yanyan Ouyang, Jiamin Liu, Tiejun Tong, Wangli Xu
A rank-based high-dimensional test for equality of mean vectors. Comput. Stat. Data Anal. 173 (2022)
Wenwu Wang, Jun Lu, Tiejun Tong, Zhonghua Liu
Debiased learning and forecasting of first derivative. Knowl. Based Syst. 236 (2022)
Hongmei Lin, Jianhong Shi, Tiejun Tong, Riquan Zhang
Partially Linear Single-Index Model in the Presence of Measurement Error. J. Syst. Sci. Complex. 35 (6) (2022)
Hailun Wang, Pak Sham, Tiejun Tong, Herbert Pang
Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Wenwu Wang, Ping Yu, Lu Lin, Tiejun Tong
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression. J. Mach. Learn. Res. 20 (2019)
Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin, Jun Zhang
A statistical normalization method and differential expression analysis for RNA-seq data between different species. BMC Bioinform. 20 (1) (2019)
Yan Zhou, Xiang Wan, Baoxue Zhang, Tiejun Tong
Classifying next-generation sequencing data using a zero-inflated Poisson model. Bioinform. 34 (8) (2018)
Yuejin Zhou, Yebin Cheng, Wenlin Dai, Tiejun Tong
Optimal difference-based estimation for partially linear models. Comput. Stat. 33 (2) (2018)
Yujie Li, Gaorong Li, Heng Lian, Tiejun Tong
Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models. J. Multivar. Anal. 155 (2017)
Yan Zhou, Baoxue Zhang, Gaorong Li, Tiejun Tong, Xiang Wan
GD-RDA: A New Regularized Discriminant Analysis for High-Dimensional Data. J. Comput. Biol. 24 (11) (2017)
Wenlin Dai, Tiejun Tong, Marc G. Genton
Optimal Estimation of Derivatives in Nonparametric Regression. J. Mach. Learn. Res. 17 (2016)
Kai Dong, Herbert Pang, Tiejun Tong, Marc G. Genton
Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data. J. Multivar. Anal. 143 (2016)
Kai Dong, Hongyu Zhao, Tiejun Tong, Xiang Wan
NBLDA: negative binomial linear discriminant analysis for RNA-Seq data. BMC Bioinform. 17 (2016)
Yuejin Zhou, Yebin Cheng, Tiejun Tong
A Least Squares Method for Variance Estimation in Heteroscedastic Nonparametric Regression. J. Appl. Math. 2014 (2014)
Cheng Wang, Tiejun Tong, Longbing Cao, Baiqi Miao
Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices. J. Multivar. Anal. 125 (2014)
Xiang Wan, Jiming Liu, William K. Cheung, Tiejun Tong
Learning to improve medical decision making from imbalanced data without a priori cost. BMC Medical Informatics Decis. Mak. 14 (2014)
Tiejun Tong, Homin Jang, Yuedong Wang
James-Stein type estimators of variances. J. Multivar. Anal. 107 (2012)
Tiejun Tong, Liang Chen, Hongyu Zhao
Improved mean estimation and its application to diagonal discriminant analysis. Bioinform. 28 (4) (2012)
Herbert Pang, Stephen L. George, Ken Hui, Tiejun Tong
Gene Selection Using Iterative Feature Elimination Random Forests for Survival Outcomes. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
Liang Chen, Tiejun Tong, Hongyu Zhao
Considering dependence among genes and markers for false discovery control in eQTL mapping. Bioinform. 24 (18) (2008)