Considering dependence among genes and markers for false discovery control in eQTL mapping. - Liang Chen; Tiejun Tong; Hongyu Zhao 003 (Bioinform., 2008)

Improved mean estimation and its application to diagonal discriminant analysis. - Tiejun Tong; Liang Chen; Hongyu Zhao 003 (Bioinform., 2012)

James-Stein type estimators of variances. - Tiejun Tong; Homin Jang; Yuedong Wang (J. Multivar. Anal., 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)

A Least Squares Method for Variance Estimation in Heteroscedastic Nonparametric Regression. - Yuejin Zhou; Yebin Cheng; Tiejun Tong (J. Appl. Math., 2014)

Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices. - Cheng Wang 022; Tiejun Tong; Longbing Cao; Baiqi Miao (J. Multivar. Anal., 2014)

Learning to improve medical decision making from imbalanced data without a priori cost. - Xiang Wan; Jiming Liu 001; William K. Cheung 001; Tiejun Tong (BMC Medical Informatics Decis. Mak., 2014)

NBLDA: negative binomial linear discriminant analysis for RNA-Seq data. - Kai Dong; Hongyu Zhao 003; Tiejun Tong; Xiang Wan (BMC Bioinform., 2016)

Optimal Estimation of Derivatives in Nonparametric Regression. - Wenlin Dai; Tiejun Tong; Marc G. Genton (J. Mach. Learn. Res., 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)

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)

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)

Classifying next-generation sequencing data using a zero-inflated Poisson model. - Yan Zhou; Xiang Wan; Baoxue Zhang; Tiejun Tong (Bioinform., 2018)

Optimal difference-based estimation for partially linear models. - Yuejin Zhou; Yebin Cheng; Wenlin Dai; Tiejun Tong (Comput. Stat., 2018)

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 027 (BMC Bioinform., 2019)

Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression. - Wenwu Wang 002; Ping Yu; Lu Lin 002; Tiejun Tong (J. Mach. Learn. Res., 2019)

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)

Sequence Q-Learning Algorithm for Optimal Mobility-Aware User Association. - Wanjun Ning; Zimu Xu; Jingjin Wu; Tiejun Tong (ICC, 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)

Partially Linear Single-Index Model in the Presence of Measurement Error. - Hongmei Lin; Jianhong Shi; Tiejun Tong; Riquan Zhang (J. Syst. Sci. Complex., 2022)

Debiased learning and forecasting of first derivative. - Wenwu Wang 002; Jun Lu; Tiejun Tong; Zhonghua Liu (Knowl. Based Syst., 2022)

A difference-based method for testing no effect in nonparametric regression. - Zhijian Li; Tiejun Tong; Yuedong Wang (Comput. Stat., 2025)

Robust Inference for Censored Quantile Regression. - Yuanyuan Tang; Xiaorui Wang; Jianming Zhu; Hongmei Lin; Yanlin Tang; Tiejun Tong (J. Syst. Sci. Complex., 2025)