Tiejun Tong

24 papers Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
When Tukey Meets Chauvenet: A New Boxplot Criterion for Outlier Detection.
J. Comput. Graph. Stat.
Hongmei Lin, Riquan Zhang, Tiejun Tong
2025 J jnl
A difference-based method for testing no effect in nonparametric regression.
Comput. Stat.
Zhijian Li, Tiejun Tong, Yuedong Wang
2025 J jnl
Robust Inference for Censored Quantile Regression.
J. Syst. Sci. Complex.
Yuanyuan Tang, Xiaorui Wang, Jianming Zhu, Hongmei Lin, Yanlin Tang, Tiejun Tong
2022 J jnl
A rank-based high-dimensional test for equality of mean vectors.
Comput. Stat. Data Anal.
Yanyan Ouyang, Jiamin Liu, Tiejun Tong, Wangli Xu
2022 J jnl
Debiased learning and forecasting of first derivative.
Knowl. Based Syst.
Wenwu Wang, Jun Lu, Tiejun Tong, Zhonghua Liu
2022 J jnl
Partially Linear Single-Index Model in the Presence of Measurement Error.
J. Syst. Sci. Complex.
Hongmei Lin, Jianhong Shi, Tiejun Tong, Riquan Zhang
2022 — conf
Sequence Q-Learning Algorithm for Optimal Mobility-Aware User Association.
ICC
Wanjun Ning, Zimu Xu, Jingjin Wu, Tiejun Tong
2020 J jnl
Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests.
IEEE J. Biomed. Health Informatics
Hailun Wang, Pak Sham, Tiejun Tong, Herbert Pang
2019 J jnl
A statistical normalization method and differential expression analysis for RNA-seq data between different species.
BMC Bioinform.
Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin, Jun Zhang
2019 J jnl
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression.
J. Mach. Learn. Res.
Wenwu Wang, Ping Yu, Lu Lin, Tiejun Tong
2018 J jnl
Classifying next-generation sequencing data using a zero-inflated Poisson model.
Bioinform.
Yan Zhou, Xiang Wan, Baoxue Zhang, Tiejun Tong
2018 J jnl
Optimal difference-based estimation for partially linear models.
Comput. Stat.
Yuejin Zhou, Yebin Cheng, Wenlin Dai, Tiejun Tong
2017 J jnl
GD-RDA: A New Regularized Discriminant Analysis for High-Dimensional Data.
J. Comput. Biol.
Yan Zhou, Baoxue Zhang, Gaorong Li, Tiejun Tong, Xiang Wan
2017 J jnl
Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models.
J. Multivar. Anal.
Yujie Li, Gaorong Li, Heng Lian, Tiejun Tong
2016 J jnl
NBLDA: negative binomial linear discriminant analysis for RNA-Seq data.
BMC Bioinform.
Kai Dong, Hongyu Zhao, Tiejun Tong, Xiang Wan
2016 J jnl
Optimal Estimation of Derivatives in Nonparametric Regression.
J. Mach. Learn. Res.
Wenlin Dai, Tiejun Tong, Marc G. Genton
2016 J jnl
Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data.
J. Multivar. Anal.
Kai Dong, Herbert Pang, Tiejun Tong, Marc G. Genton
2014 J jnl
A Least Squares Method for Variance Estimation in Heteroscedastic Nonparametric Regression.
J. Appl. Math.
Yuejin Zhou, Yebin Cheng, Tiejun Tong
2014 J jnl
Learning to improve medical decision making from imbalanced data without a priori cost.
BMC Medical Informatics Decis. Mak.
Xiang Wan, Jiming Liu, William K. Cheung, Tiejun Tong
2014 J jnl
Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices.
J. Multivar. Anal.
Cheng Wang, Tiejun Tong, Longbing Cao, Baiqi Miao
2012 J jnl
Gene Selection Using Iterative Feature Elimination Random Forests for Survival Outcomes.
IEEE ACM Trans. Comput. Biol. Bioinform.
Herbert Pang, Stephen L. George, Ken Hui, Tiejun Tong
2012 J jnl
Improved mean estimation and its application to diagonal discriminant analysis.
Bioinform.
Tiejun Tong, Liang Chen, Hongyu Zhao
2012 J jnl
James-Stein type estimators of variances.
J. Multivar. Anal.
Tiejun Tong, Homin Jang, Yuedong Wang
2008 J jnl
Considering dependence among genes and markers for false discovery control in eQTL mapping.
Bioinform.
Liang Chen, Tiejun Tong, Hongyu Zhao