Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data. - Chenlei Leng (Comput. Biol. Chem., 2008)

A note on adaptive group lasso. - Hansheng Wang 002; Chenlei Leng (Comput. Stat. Data Anal., 2008)

Bayesian projection approaches to variable selection in generalized linear models. - David J. Nott; Chenlei Leng (Comput. Stat. Data Anal., 2010)

Rank-based variable selection with censored data. - Jinfeng Xu 001; Chenlei Leng; Zhiliang Ying (Stat. Comput., 2010)

Gradient-based kernel dimension reduction for supervised learning - Kenji Fukumizu; Chenlei Leng (CoRR, 2011)

Gradient-based kernel method for feature extraction and variable selection. - Kenji Fukumizu; Chenlei Leng (NIPS, 2012)

Robust Multi-task Regression with Grossly Corrupted Observations. - Huan Xu; Chenlei Leng (AISTATS, 2012)

Variational approximation for heteroscedastic linear models and matching pursuit algorithms. - David J. Nott; Minh-Ngoc Tran; Chenlei Leng (Stat. Comput., 2012)

The predictive Lasso. - Minh-Ngoc Tran; David J. Nott; Chenlei Leng (Stat. Comput., 2012)

Convex Optimization Procedure for Clustering: Theoretical Revisit. - Changbo Zhu; Huan Xu 001; Chenlei Leng; Shuicheng Yan (NIPS, 2014)

Smoothing combined estimating equations in quantile regression for longitudinal data. - Chenlei Leng; Weiping Zhang (Stat. Comput., 2014)

On the consistency theory of high dimensional variable screening. - Xiangyu Wang 006; Chenlei Leng; David B. Dunson (NIPS, 2015)

No penalty no tears: Least squares in high-dimensional linear models. - Xiangyu Wang 006; David B. Dunson; Chenlei Leng (ICML, 2016)

DECOrrelated feature space partitioning for distributed sparse regression. - Xiangyu Wang 006; David B. Dunson; Chenlei Leng (NIPS, 2016)

Sparse estimation of high-dimensional correlation matrices. - Ying Cui 004; Chenlei Leng; Defeng Sun (Comput. Stat. Data Anal., 2016)

A Direct Approach for Sparse Quadratic Discriminant Analysis. - Binyan Jiang; Xiangyu Wang 006; Chenlei Leng (J. Mach. Learn. Res., 2018)

Provable Subspace Clustering: When LRR Meets SSC. - Yu-Xiang Wang 003; Huan Xu; Chenlei Leng (IEEE Trans. Inf. Theory, 2019)

Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy. - Qiuping Wang; Ting Yan; Binyan Jiang; Chenlei Leng (J. Mach. Learn. Res., 2022)

An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks. - Stefan Stein; Chenlei Leng (J. Mach. Learn. Res., 2023)

Impact of geographic diversity on citation of collaborative research. - Cian Naik; Cassidy R. Sugimoto; Vincent Larivière; Chenlei Leng; Weisi Guo (Quant. Sci. Stud., 2023)

Supervised centrality via sparse network influence regression: an application to the 2021 Henan floods' social network. - Yingying Ma; Wei Lan; Chenlei Leng; Ting Li; Hansheng Wang (CoRR, 2024)