Junhui Wang

Yufeng Liu, Hongtu Zhu, Junhui Wang, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

A note on selection stability: combining stability and prediction

Wei Sun, Junhui Wang, Yixin Fang, 2013, 1301.7118.

Supplementary Materials for ‘Discovering Model Structure for Partially Linear Model’

Junhui Wang, Xin He, 2018 .

Minimum clinically important difference in medical studies

Junhui Wang, A. Hedayat, Tu Xu, 2015, Biometrics.

Supplementary Material for “Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation”

Junhui Wang, Shaogao Lv, Jiankun Liu, 2022 .

Reduced-rank multi-label classification

Junhui Wang, Ting Yuan, 2015, Statistics and computing.

Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space

Junhui Wang, Wonjung Lee, Wuguannan Yao, 2020, ECML/PKDD.

Transfer learning for tensor Gaussian graphical models

Junhui Wang, Mingyang Ren, Yao Zhen, 2022, arXiv.org.

Sparse optimal discriminant clustering

Junhui Wang, Yixin Fang, Yanhong Wang, 2015, Statistics and Computing.

Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers pdf

Junhui Wang, Wei Zhou, Wei Zhong, 2021, J. Comput. Graph. Stat..

Directed Community Detection With Network Embedding

Junhui Wang, Xin He, Jingnan Zhang, 2021, Journal of the American Statistical Association.

Sparse optimal discriminant clustering

Junhui Wang, Yanhong Wang, Yixin Fang, 2016, Stat. Comput..

Selection of the number of clusters via the bootstrap method

Junhui Wang, Yixin Fang, Junhui Wang, 2012, Comput. Stat. Data Anal..

Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy

Tu Xu, Yixin Fang, Alan Rong, 2015, BMC Medical Research Methodology.

Analysis of presence-only data via semi-supervised learning approaches

Junhui Wang, Yixin Fang, Junhui Wang, 2013, Comput. Stat. Data Anal..

On Efficient Large Margin Semisupervised Learning: Method and Theory

Wei Pan, Junhui Wang, Xiaotong Shen, 2009, J. Mach. Learn. Res..

A coordinate descent algorithm for sparse positive definite matrix estimation

Ting Yuan, Junhui Wang, Junhui Wang, 2013, Stat. Anal. Data Min..

Efficient kernel-based variable selection with sparsistency

Junhui Wang, Shaogao Lv, Xin He, 2021 .

Learning sparse conditional distribution: An efficient kernel-based approach

Junhui Wang, Xin He, Fang Chen, 2021, Electronic Journal of Statistics.

Sparse Learning in reproducing kernel Hilbert space

Junhui Wang, Xin He, 2019, arXiv.org.

Scalable kernel-based variable selection with sparsistency pdf

Xin He, Junhui Wang, Shaogao Lv, 2018, ArXiv.

Community Detection in General Hypergraph Via Graph Embedding pdf

Junhui Wang, Yaoming Zhen, Junhui Wang, 2021, Journal of the American Statistical Association.

Sentiment analysis with covariate-assisted word embeddings

Junhui Wang, Ben Dai, Shirong Xu, 2021 .

Embedding Learning

Xiaotong Shen, Junhui Wang, Ben Dai, 2020, Journal of the American Statistical Association.

A Group-Specific Recommender System

Junhui Wang, Xuan Bi, Xiaotong Shen, 2017 .

Model-free multiclass conditional probability estimation via quantile regression pdf

Junhui Wang, Tu Xu, Junhui Wang, 2012, ArXiv.

An efficient model-free estimation of multiclass conditional probability

Tu Xu, Junhui Wang, Junhui Wang, 2012, 1209.4951.

Large Margin Semi-supervised Learning

Junhui Wang, Xiaotong Shen, Xiaotong Shen, 2007, J. Mach. Learn. Res..

On Transductive Support Vector Machines

Junhui Wang, Junhui Wang, 2006 .

Sparse supervised dimension reduction in high dimensional classification

Junhui Wang, Junhui Wang, Lifeng Wang, 2010 .

ESTIMATION OF GENERALIZATION ERROR: RANDOM AND FIXED INPUTS

Xiaotong Shen, Junhui Wang, Xiaotong Shen, 2006 .

Discriminant Analysis and Normalization Methods for Next-Generation Sequencing Data

Yan Zhou, Junhui Wang, Tiejun Tong, 2018 .

Learning linear non-Gaussian directed acyclic graph with diverging number of nodes pdf

Junhui Wang, Xin He, Ruixuan Zhao, 2021, J. Mach. Learn. Res..

Spotting opinion spammers using behavioral footprints

Abhinav Kumar, Junhui Wang, Arjun Mukherjee, 2013, KDD.

Detecting group review spam

Junhui Wang, Arjun Mukherjee, Bing Liu, 2011, WWW.

Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling

Junhui Wang, Yubai Yuan, Annie Qu, 2023, Journal of the American Statistical Association.

Large Dimensional Time-Varying GMM Estimation: A New Approach

Junhui Wang, Yongmiao Hong, Liyuan Cui, 2019, Social Science Research Network.

Efficient large margin semisupervised learning

Junhui Wang, Junhui Wang, 2007, AISTATS.

Reduced-rank multi-label classification

Ting Yuan, Junhui Wang, Junhui Wang, 2017, Stat. Comput..

Scalable Collaborative Ranking for Personalized Prediction

Junhui Wang, Xiaotong Shen, Annie Qu, 2020, Journal of the American Statistical Association.

Smooth neighborhood recommender systems

Junhui Wang, Xiaotong Shen, Annie Qu, 2019, J. Mach. Learn. Res..

Variable selection for partially linear models via learning gradients

Junhui Wang, Yixin Fang, Y. Shao, 2017 .

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Yiwen Sun, Xiaotong Shen, Annie Qu, 2016 .

A statistical normalization method and differential expression analysis for RNA-seq data between different species

Yan Zhou, Jiadi Zhu, Tiejun Tong, 2018, BMC Bioinformatics.

A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data

Bin Yang, Junhui Wang, Yan Zhou, 2021, BMC Genomics.

Joint estimation of sparse multivariate regression and conditional graphical models pdf

Junhui Wang, Junhui Wang, 2013, ArXiv.

Identification of functional rare variants in genome-wide association studies using stability selection based on random collapsing

Junhui Wang, Xin Huang, Yixin Fang, 2011, BMC proceedings.

A statistical normalization method and differential expression analysis for RNA-seq data between different species

Junhui Wang, Bingqing Lin, Yan Zhou, 2018, BMC Bioinformatics.

Multiple change point detection in tensors

Junhui Wang, Lixing Zhu, Xuehu Zhu, 2022, 2206.13004.

Reduced-Rank Modeling for High-Dimensional Model-Based Clustering

Lei Yang, Shiqian Ma, Junhui Wang, 2018, Journal of Computational Mathematics.

Word segmentation in Chinese language processing

Junhui Wang, Xiaotong Shen, Annie Qu, 2017 .

Large-Dimensional Positive Definite Covariance Estimation for High Frequency Data via Low-rank and Sparse Matrix Decomposition

Junhui Wang, Yingxing Li, Liyuan Cui, 2019, SSRN Electronic Journal.

Two ridge ratio criteria for multiple change point detection in tensors

Junhui Wang, Xuehu Zhu, Jiaqi Huang, 2022 .

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Xiaotong Shen, A. Qu, Junhui Wang, 2016 .