Yuexiao Dong

24 papers Journal 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Envelope Dimension Reduction with Application to Binary Classification.
J. Syst. Sci. Complex.
Abdul-Nasah Soale, Yuexiao Dong
2026 J jnl
Multi-population sufficient dimension reduction.
Comput. Stat. Data Anal.
Xuerong Meggie Wen, Yuexiao Dong, Li-Xing Zhu
2026 J jnl
On Marginal Coordinate Test with Multivariate Responses.
J. Syst. Sci. Complex.
Yuexiao Dong, Lei Li
2026 J jnl
Principal Graph Encoder Embedding and Principal Community Detection.
IEEE Trans. Netw. Sci. Eng.
Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2025 J jnl
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series.
J. Comput. Graph. Stat.
Zeda Li, Yuexiao Dong
2025 J jnl
A Graph Sufficiency Perspective for Neural Networks.
CoRR
Cencheng Shen, Yuexiao Dong
2025 J jnl
Decision Tree Embedding by Leaf-Means.
CoRR
Cencheng Shen, Yuexiao Dong, Carey E. Priebe
2025 J jnl
Principal Graph Encoder Embedding and Principal Community Detection.
CoRR
Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2023 J jnl
Data visualization and dimension reduction for metric-valued response regression.
CoRR
Abdul-Nasah Soale, Yuexiao Dong
2023 J jnl
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm.
J. Comput. Graph. Stat.
Bo Kai, Mian Huang, Weixin Yao, Yuexiao Dong
2021 J jnl
Model-Free Variable Selection With Matrix-Valued Predictors.
J. Comput. Graph. Stat.
Zeda Li, Yuexiao Dong
2021 J jnl
Real-time sufficient dimension reduction through principal least squares support vector machines.
Pattern Recognit.
Andreas Artemiou, Yuexiao Dong, Seung Jun Shin
2020 J jnl
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix.
J. Mach. Learn. Res.
Cheng Yong Tang, Ethan X. Fang, Yuexiao Dong
2020 J jnl
Model-free variable selection for conditional mean in regression.
Comput. Stat. Data Anal.
Yuexiao Dong, Zhou Yu, Li-ping Zhu
2020 J jnl
Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption.
IEEE Trans. Inf. Theory
Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
2019 J jnl
Sparse Representation Classification via Screening for Graphs.
CoRR
Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
2018 J jnl
On dual model-free variable selection with two groups of variables.
J. Multivar. Anal.
Ahmad Alothman, Yuexiao Dong, Andreas Artemiou
2018 J jnl
On sufficient dimension reduction with missing responses through estimating equations.
Comput. Stat. Data Anal.
Yuexiao Dong, Qi Xia, Cheng Yong Tang, Zeda Li
2017 J jnl
On a new hybrid estimator for the central mean space.
J. Syst. Sci. Complex.
Qi Xia, Yuexiao Dong
2016 J jnl
On permutation tests for predictor contribution in sufficient dimension reduction.
J. Multivar. Anal.
Yuexiao Dong, Chaozheng Yang, Zhou Yu
2015 J jnl
Robust inverse regression for dimension reduction.
J. Multivar. Anal.
Yuexiao Dong, Zhou Yu, Li-ping Zhu
2014 J jnl
General directional regression.
J. Multivar. Anal.
Zhou Yu, Yuexiao Dong, Mian Huang
2012 J jnl
A note on sliced inverse regression with missing predictors.
Stat. Anal. Data Min.
Yuexiao Dong, Liping Zhu
2012 J jnl
Dimension reduction for the conditional
J. Multivar. Anal.
Yuexiao Dong, Zhou Yu