Regularized ROC method for disease classification and biomarker selection with microarray data. - Shuangge Ma; Jian Huang 003 (Bioinform., 2005)

A robust two-way semi-linear model for normalization of cDNA microarray data. - Deli Wang; Jian Huang 003; Hehuang Xie; Liliana Manzella; Marcelo Bento Soares (BMC Bioinform., 2005)

Regularized binormal ROC method in disease classificationusing microarray data. - Shuangge Ma; Xiao Song; Jian Huang 003 (BMC Bioinform., 2006)

Clustering threshold gradient descent regularization: with applications to microarray studies. - Shuangge Ma; Jian Huang 003 (Bioinform., 2007)

Additive risk survival model with microarray data. - Shuangge Ma; Jian Huang 003 (BMC Bioinform., 2007)

Supervised group Lasso with applications to microarray data analysis. - Shuangge Ma; Xiao Song; Jian Huang 003 (BMC Bioinform., 2007)

Penalized feature selection and classification in bioinformatics. - Shuangge Ma; Jian Huang 003 (Briefings Bioinform., 2008)

Regularized gene selection in cancer microarray meta-analysis. - Shuangge Ma; Jian Huang 003 (BMC Bioinform., 2009)

Semiparametric prognosis models in genomic studies. - Shuangge Ma; Jian Huang 003; Mingyu Shi; Yang Li 070; Ben-Chang Shia (Briefings Bioinform., 2010)

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method. - Shuangge Ma; Yawei Zhang; Jian Huang 003; Xuesong Han; Theodore Holford; Qing Lan; Nathaniel Rothman; Peter Boyle; Tongzhang Zheng (Bioinform., 2010)

Integrative prescreening in analysis of multiple cancer genomic studies. - Rui Song 006; Jian Huang 003; Shuangge Ma (BMC Bioinform., 2012)

Identification of breast cancer prognosis markers via integrative analysis. - Shuangge Ma; Ying Dai; Jian Huang 003; Yang Xie (Comput. Stat. Data Anal., 2012)

Similarity of markers identified from cancer gene expression studies: observations from GEO. - Xingjie Shi; Shihao Shen; Jin Liu 011; Jian Huang 003; Yong Zhou; Shuangge Ma (Briefings Bioinform., 2014)

Majorization minimization by coordinate descent for concave penalized generalized linear models. - Dingfeng Jiang; Jian Huang 003 (Stat. Comput., 2014)

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA. - Qing Zhao; Xingjie Shi; Yang Xie; Jian Huang 003; Ben-Chang Shia; Shuangge Ma (Briefings Bioinform., 2015)

Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach. - Xingjie Shi; Qing Zhao; Jian Huang 003; Yang Xie; Shuangge Ma (Bioinform., 2015)

Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors. - Patrick Breheny; Jian Huang 003 (Stat. Comput., 2015)

A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression. - Yongxiu Cao; Jian Huang 003; Yuling Jiao; Yanyan Liu (Commun. Stat. Simul. Comput., 2017)

SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties. - Jian Huang 003; Yuling Jiao; Xiliang Lu; Yueyong Shi; Qinglong Yang (CoRR, 2018)

A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso. - Xingjie Shi; Yuan Huang; Jian Huang 003; Shuangge Ma (Comput. Stat. Data Anal., 2018)

A Constructive Approach to $L_0$ Penalized Regression. - Jian Huang 003; Yuling Jiao; Yanyan Liu; Xiliang Lu (J. Mach. Learn. Res., 2018)

On the sign consistency of the Lasso for the high-dimensional Cox model. - Shaogao Lv; Mengying You; Huazhen Lin; Heng Lian; Jian Huang 003 (J. Multivar. Anal., 2018)

Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares. - Jian Huang 003; Yuling Jiao; Xiliang Lu; Liping Zhu (SIAM J. Sci. Comput., 2018)

High-dimensional integrative analysis with homogeneity and sparsity recovery. - Xinfeng Yang; Xiaodong Yan; Jian Huang 003 (J. Multivar. Anal., 2019)

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. - Yi Yang 028; Xingjie Shi; Yuling Jiao; Jian Huang 003; Min Chen; Xiang Zhou; Lei Sun; Xinyi Lin; Can Yang 002; Jin Liu 011 (Bioinform., 2020)

A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models. - Jian Huang 003; Yuling Jiao; Lican Kang; Jin Liu 011; Yanyan Liu; Xiliang Lu (CoRR, 2020)

Learning Implicit Generative Models with Theoretical Guarantees. - Yuan Gao 044; Jian Huang 003; Yuling Jiao; Jin Liu 011 (CoRR, 2020)

Generative Learning With Euler Particle Transport. - Yuan Gao 044; Jian Huang 003; Yuling Jiao; Jin Liu 011; Xiliang Lu; Jerry Zhijian Yang (CoRR, 2020)

A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. - Yueyong Shi; Jian Huang 003; Yuling Jiao; Qinglong Yang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Deep Generative Learning via Euler Particle Transport. - Yuan Gao 044; Jian Huang 003; Yuling Jiao; Jin Liu 011; Xiliang Lu; Jerry Zhijian Yang (MSML, 2021)

Non-asymptotic Error Bounds for Bidirectional GANs. - Shiao Liu; Yunfei Yang 002; Jian Huang 003; Yuling Jiao; Yang Wang 020 (NeurIPS, 2021)

Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. - Guohao Shen; Yuling Jiao; Yuanyuan Lin; Jian Huang 003 (CoRR, 2021)

Relative Entropy Gradient Sampler for Unnormalized Distributions. - Xingdong Feng; Yuan Gao 044; Jian Huang 003; Yuling Jiao; Xu Liu 024 (CoRR, 2021)

Wasserstein Generative Learning of Conditional Distribution. - Shiao Liu; Xingyu Zhou; Yuling Jiao; Jian Huang 003 (CoRR, 2021)

Approximation with CNNs in Sobolev Space: with Applications to Classification. - Guohao Shen; Yuling Jiao; Yuanyuan Lin; Jian Huang 003 (NeurIPS, 2022)

Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. - Guohao Shen; Yuling Jiao; Yuanyuan Lin; Joel L. Horowitz; Jian Huang 003 (CoRR, 2022)

Deep Sufficient Representation Learning via Mutual Information. - Siming Zheng; Yuanyuan Lin; Jian Huang 003 (CoRR, 2022)

Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. - Wenlu Tang; Guohao Shen; Yuanyuan Lin; Jian Huang 003 (CoRR, 2022)

ℓ0-Regularized high-dimensional accelerated failure time model. - Chao Cheng; Xingdong Feng; Jian Huang 003; Yuling Jiao; Shuang Zhang (Comput. Stat. Data Anal., 2022)

GSDAR: a fast Newton algorithm for ℓ 0 regularized generalized linear models with statistical guarantee. - Jian Huang 003; Yuling Jiao; Lican Kang; Jin Liu 011; Yanyan Liu; Xiliang Lu (Comput. Stat., 2022)

An Error Analysis of Generative Adversarial Networks for Learning Distributions. - Jian Huang 003; Yuling Jiao; Zhen Li; Shiao Liu; Yang Wang 020; Yunfei Yang 002 (J. Mach. Learn. Res., 2022)

PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. - Jian Huang 003; Yuling Jiao; Xiliang Lu; Yueyong Shi; Qinglong Yang; Yuanyuan Yang (Signal Process., 2022)

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. - Guohao Shen; Yuling Jiao; Yuanyuan Lin; Jian Huang 003 (CoRR, 2023)

Wasserstein Generative Regression. - Shanshan Song; Tong Wang; Guohao Shen; Yuanyuan Lin; Jian Huang 003 (CoRR, 2023)

Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models. - Changyu Liu; Yuling Jiao; Junhui Wang; Jian Huang 003 (CoRR, 2023)

Conditional Stochastic Interpolation for Generative Learning. - Ding Huang; Jian Huang 003; Ting Li; Guohao Shen (CoRR, 2023)

Adaptive debiased SGD in high-dimensional GLMs with streaming data. - Ruijian Han; Lan Luo; Yuanhang Luo; Yuanyuan Lin; Jian Huang 003 (CoRR, 2024)

More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization. - Xu Liu 024; Heng Lian; Jian Huang 003 (J. Mach. Learn. Res., 2024)

Gaussian Interpolation Flows. - Yuan Gao 044; Jian Huang 003; Yuling Jiao (J. Mach. Learn. Res., 2024)

Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. - Guohao Shen; Yuling Jiao; Yuanyuan Lin; Joel L. Horowitz; Jian Huang 003 (J. Mach. Learn. Res., 2024)

Nonasymptotic Bounds for Adversarial Excess Risk under Misspecified Models. - Changyu Liu; Yuling Jiao; Junhui Wang; Jian Huang 003 (SIAM J. Math. Data Sci., 2024)

Deep Dimension Reduction for Supervised Representation Learning. - Jian Huang 003; Yuling Jiao; Xu Liao; Jin Liu 011; Zhou Yu (IEEE Trans. Inf. Theory, 2024)

Relative Entropy Gradient Sampler for Unnormalized Distribution. - Xingdong Feng; Yuan Gao 044; Jian Huang 003; Yuling Jiao; Xu Liu 024 (J. Comput. Graph. Stat., 2025)

Schrödinger-Föllmer Sampler. - Jian Huang 003; Yuling Jiao; Lican Kang; Xu Liao; Jin Liu 011; Yanyan Liu (IEEE Trans. Inf. Theory, 2025)