Chenlei Leng

According to our database, Chenlei Leng authored at least 21 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks.

Stefan Stein, Chenlei Leng

J. Mach. Learn. Res., 2023

2022

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

2019

Provable Subspace Clustering: When LRR Meets SSC.

Yu-Xiang Wang, Huan Xu, Chenlei Leng

IEEE Trans. Inf. Theory, 2019

2018

A Direct Approach for Sparse Quadratic Discriminant Analysis.

Binyan Jiang, Xiangyu Wang, Chenlei Leng

J. Mach. Learn. Res., 2018

2016

Sparse estimation of high-dimensional correlation matrices.

Ying Cui, Chenlei Leng, Defeng Sun

Comput. Stat. Data Anal., 2016

DECOrrelated feature space partitioning for distributed sparse regression.

Xiangyu Wang, David B. Dunson, Chenlei Leng

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

No penalty no tears: Least squares in high-dimensional linear models.

Xiangyu Wang, David B. Dunson, Chenlei Leng

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

On the consistency theory of high dimensional variable screening.

Xiangyu Wang, Chenlei Leng, David B. Dunson

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Smoothing combined estimating equations in quantile regression for longitudinal data.

Chenlei Leng, Weiping Zhang

Stat. Comput., 2014

Convex Optimization Procedure for Clustering: Theoretical Revisit.

Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

The predictive Lasso.

Minh-Ngoc Tran, David J. Nott, Chenlei Leng

Stat. Comput., 2012

Variational approximation for heteroscedastic linear models and matching pursuit algorithms.

David J. Nott, Minh-Ngoc Tran, Chenlei Leng

Stat. Comput., 2012

Robust Multi-task Regression with Grossly Corrupted Observations.

Huan Xu, Chenlei Leng

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Gradient-based kernel method for feature extraction and variable selection.

Kenji Fukumizu, Chenlei Leng

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Gradient-based kernel dimension reduction for supervised learning

Kenji Fukumizu, Chenlei Leng

CoRR, 2011

2010

Rank-based variable selection with censored data.

Jinfeng Xu, Chenlei Leng, Zhiliang Ying

Stat. Comput., 2010

Bayesian projection approaches to variable selection in generalized linear models.

David J. Nott, Chenlei Leng

Comput. Stat. Data Anal., 2010

2008

A note on adaptive group lasso.

Hansheng Wang, Chenlei Leng

Comput. Stat. Data Anal., 2008

Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data.

Chenlei Leng

Comput. Biol. Chem., 2008