Chenlei Leng

28 papers A* 2A 1Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
DAG-Math: Graph-Guided Mathematical Reasoning in LLMs.
CoRR
Yuanhe Zhang, Ilja Kuzborskij, Jason D. Lee, Chenlei Leng, Fanghui Liu
2025 A* conf
Learning Changes in Graphon Attachment Network Models.
ICML
Xinyuan Fan, Bufan Li, Chenlei Leng, Weichi Wu
2024 J jnl
Supervised centrality via sparse network influence regression: an application to the 2021 Henan floods' social network.
CoRR
Yingying Ma, Wei Lan, Chenlei Leng, Ting Li, Hansheng Wang
2023 J jnl
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks.
J. Mach. Learn. Res.
Stefan Stein, Chenlei Leng
2023 J jnl
Impact of geographic diversity on citation of collaborative research.
Quant. Sci. Stud.
Cian Naik, Cassidy R. Sugimoto, Vincent Larivière, Chenlei Leng, Weisi Guo
2022 J jnl
Impact of Geographic Diversity on Citation of Collaborative Research.
CoRR
Cian Naik, Cassidy R. Sugimoto, Vincent Larivière, Chenlei Leng, Weisi Guo
2022 J jnl
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy.
J. Mach. Learn. Res.
Qiuping Wang, Ting Yan, Binyan Jiang, Chenlei Leng
2019 J jnl
Provable Subspace Clustering: When LRR Meets SSC.
IEEE Trans. Inf. Theory
Yu-Xiang Wang, Huan Xu, Chenlei Leng
2018 J jnl
A Direct Approach for Sparse Quadratic Discriminant Analysis.
J. Mach. Learn. Res.
Binyan Jiang, Xiangyu Wang, Chenlei Leng
2016 — conf
DECOrrelated feature space partitioning for distributed sparse regression.
NIPS
Xiangyu Wang, David B. Dunson, Chenlei Leng
2016 J jnl
DECOrrelated feature space partitioning for distributed sparse regression.
CoRR
Xiangyu Wang, David B. Dunson, Chenlei Leng
2016 A* conf
No penalty no tears: Least squares in high-dimensional linear models.
ICML
Xiangyu Wang, David B. Dunson, Chenlei Leng
2016 J jnl
Sparse estimation of high-dimensional correlation matrices.
Comput. Stat. Data Anal.
Ying Cui, Chenlei Leng, Defeng Sun
2015 J jnl
No penalty no tears: Least squares in high-dimensional linear models.
CoRR
Xiangyu Wang, David B. Dunson, Chenlei Leng
2015 — conf
On the consistency theory of high dimensional variable screening.
NIPS
Xiangyu Wang, Chenlei Leng, David B. Dunson
2015 J jnl
On the consistency theory of high dimensional variable screening.
CoRR
Xiangyu Wang, Chenlei Leng, David B. Dunson
2014 — conf
Convex Optimization Procedure for Clustering: Theoretical Revisit.
NIPS
Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan
2014 J jnl
Smoothing combined estimating equations in quantile regression for longitudinal data.
Stat. Comput.
Chenlei Leng, Weiping Zhang
2013 — conf
Provable Subspace Clustering: When LRR meets SSC.
NIPS
Yu-Xiang Wang, Huan Xu, Chenlei Leng
2012 — conf
Gradient-based kernel method for feature extraction and variable selection.
NIPS
Kenji Fukumizu, Chenlei Leng
2012 A conf
Robust Multi-task Regression with Grossly Corrupted Observations.
AISTATS
Huan Xu, Chenlei Leng
2012 J jnl
The predictive Lasso.
Stat. Comput.
Minh-Ngoc Tran, David J. Nott, Chenlei Leng
2012 J jnl
Variational approximation for heteroscedastic linear models and matching pursuit algorithms.
Stat. Comput.
David J. Nott, Minh-Ngoc Tran, Chenlei Leng
2011 J jnl
Gradient-based kernel dimension reduction for supervised learning
CoRR
Kenji Fukumizu, Chenlei Leng
2010 J jnl
Bayesian projection approaches to variable selection in generalized linear models.
Comput. Stat. Data Anal.
David J. Nott, Chenlei Leng
2010 J jnl
Rank-based variable selection with censored data.
Stat. Comput.
Jinfeng Xu, Chenlei Leng, Zhiliang Ying
2008 J jnl
A note on adaptive group lasso.
Comput. Stat. Data Anal.
Hansheng Wang, Chenlei Leng
2008 J jnl
Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data.
Comput. Biol. Chem.
Chenlei Leng