Dimension reduction for the conditional kth moment via central solution space. - Yuexiao Dong; Zhou Yu (J. Multivar. Anal., 2012)

A note on sliced inverse regression with missing predictors. - Yuexiao Dong; Liping Zhu (Stat. Anal. Data Min., 2012)

General directional regression. - Zhou Yu; Yuexiao Dong; Mian Huang (J. Multivar. Anal., 2014)

Robust inverse regression for dimension reduction. - Yuexiao Dong; Zhou Yu; Li-Ping Zhu (J. Multivar. Anal., 2015)

On permutation tests for predictor contribution in sufficient dimension reduction. - Yuexiao Dong; Chaozheng Yang; Zhou Yu (J. Multivar. Anal., 2016)

On a new hybrid estimator for the central mean space. - Qi Xia; Yuexiao Dong (J. Syst. Sci. Complex., 2017)

On sufficient dimension reduction with missing responses through estimating equations. - Yuexiao Dong; Qi Xia; Cheng Yong Tang; Zeda Li (Comput. Stat. Data Anal., 2018)

On dual model-free variable selection with two groups of variables. - Ahmad Alothman; Yuexiao Dong; Andreas Artemiou (J. Multivar. Anal., 2018)

Sparse Representation Classification via Screening for Graphs. - Cencheng Shen; Li Chen; Yuexiao Dong; Carey E. Priebe (CoRR, 2019)

Model-free variable selection for conditional mean in regression. - Yuexiao Dong; Zhou Yu; Li-Ping Zhu (Comput. Stat. Data Anal., 2020)

High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix. - Cheng Yong Tang; Ethan X. Fang; Yuexiao Dong (J. Mach. Learn. Res., 2020)

Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. - Cencheng Shen; Li Chen; Yuexiao Dong; Carey E. Priebe (IEEE Trans. Inf. Theory, 2020)

Model-Free Variable Selection With Matrix-Valued Predictors. - Zeda Li; Yuexiao Dong (J. Comput. Graph. Stat., 2021)

Real-time sufficient dimension reduction through principal least squares support vector machines. - Andreas Artemiou; Yuexiao Dong; Seung Jun Shin (Pattern Recognit., 2021)

Data visualization and dimension reduction for metric-valued response regression. - Abdul-Nasah Soale; Yuexiao Dong (CoRR, 2023)

Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm. - Bo Kai; Mian Huang; Weixin Yao; Yuexiao Dong (J. Comput. Graph. Stat., 2023)

Principal Graph Encoder Embedding and Principal Community Detection. - Cencheng Shen; Yuexiao Dong; Carey E. Priebe; Jonathan Larson; Ha Trinh; Youngser Park (CoRR, 2025)

A Graph Sufficiency Perspective for Neural Networks. - Cencheng Shen; Yuexiao Dong (CoRR, 2025)