Jian Huang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 31

Top Topics

Convex Loss Functions

Generalized Linear Models

Regularized Least Squares

Compressive Sampling

Top Venues

Briefings Bioinform.

Publications

Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
Deep Dimension Reduction for Supervised Representation Learning. IEEE Trans. Inf. Theory 70 (5) (2024)
Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models. CoRR (2023)
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR (2023)
Siming Zheng, Yuanyuan Lin, Jian Huang
Deep Sufficient Representation Learning via Mutual Information. CoRR (2022)
Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang, Yuanyuan Yang
PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. Signal Process. 194 (2022)
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
regularized generalized linear models with statistical guarantee. Comput. Stat. 37 (1) (2022)
Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
An Error Analysis of Generative Adversarial Networks for Learning Distributions. J. Mach. Learn. Res. 23 (2022)
Wenlu Tang, Guohao Shen, Yuanyuan Lin, Jian Huang
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. CoRR (2022)
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR (2022)
Chao Cheng, Xingdong Feng, Jian Huang, Yuling Jiao, Shuang Zhang
-Regularized high-dimensional accelerated failure time model. Comput. Stat. Data Anal. 170 (2022)
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
Deep Generative Learning via Euler Particle Transport. MSML (2021)
Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
Relative Entropy Gradient Sampler for Unnormalized Distributions. CoRR (2021)
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR (2021)
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Non-Asymptotic Error Bounds for Bidirectional GANs. CoRR (2021)
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Non-asymptotic Error Bounds for Bidirectional GANs. NeurIPS (2021)
Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang
Wasserstein Generative Learning of Conditional Distribution. CoRR (2021)
Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
An error analysis of generative adversarial networks for learning distributions. CoRR (2021)
Yueyong Shi, Jian Huang, Yuling Jiao, Qinglong Yang
A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
Generative Learning With Euler Particle Transport. CoRR (2020)
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models. CoRR (2020)
Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinform. 36 (7) (2020)
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu, Yuanyuan Yang
On Newton Screening. CoRR (2020)
Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
Deep Dimension Reduction for Supervised Representation Learning. CoRR (2020)
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu
Learning Implicit Generative Models with Theoretical Guarantees. CoRR (2020)
Xinfeng Yang, Xiaodong Yan, Jian Huang
High-dimensional integrative analysis with homogeneity and sparsity recovery. J. Multivar. Anal. 174 (2019)
Shaogao Lv, Mengying You, Huazhen Lin, Heng Lian, Jian Huang
On the sign consistency of the Lasso for the high-dimensional Cox model. J. Multivar. Anal. 167 (2018)
Xingjie Shi, Yuan Huang, Jian Huang, Shuangge Ma
A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso. Comput. Stat. Data Anal. 124 (2018)
Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties. CoRR (2018)
Jian Huang, Yuling Jiao, Xiliang Lu, Liping Zhu
Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares. SIAM J. Sci. Comput. 40 (4) (2018)
Jian Huang, Yuling Jiao, Yanyan Liu, Xiliang Lu
A Constructive Approach to $L_0$ Penalized Regression. J. Mach. Learn. Res. 19 (2018)
Yongxiu Cao, Jian Huang, Yuling Jiao, Yanyan Liu
A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression. Commun. Stat. Simul. Comput. 46 (6) (2017)
Patrick Breheny, Jian Huang
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors. Stat. Comput. 25 (2) (2015)
Xingjie Shi, Qing Zhao, Jian Huang, Yang Xie, Shuangge Ma
Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach. Bioinform. 31 (24) (2015)
Qing Zhao, Xingjie Shi, Yang Xie, Jian Huang, Ben-Chang Shia, Shuangge Ma
Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA. Briefings Bioinform. 16 (2) (2015)
Dingfeng Jiang, Jian Huang
Majorization minimization by coordinate descent for concave penalized generalized linear models. Stat. Comput. 24 (5) (2014)
Xingjie Shi, Shihao Shen, Jin Liu, Jian Huang, Yong Zhou, Shuangge Ma
Similarity of markers identified from cancer gene expression studies: observations from GEO. Briefings Bioinform. 15 (5) (2014)
Shuangge Ma, Ying Dai, Jian Huang, Yang Xie
Identification of breast cancer prognosis markers via integrative analysis. Comput. Stat. Data Anal. 56 (9) (2012)
Rui Song, Jian Huang, Shuangge Ma
Integrative prescreening in analysis of multiple cancer genomic studies. BMC Bioinform. 13 (2012)
Shuangge Ma, Yawei Zhang, Jian Huang, Xuesong Han, Theodore Holford, Qing Lan, Nathaniel Rothman, Peter Boyle, Tongzhang Zheng
Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method. Bioinform. 26 (1) (2010)
Shuangge Ma, Jian Huang, Mingyu Shi, Yang Li, Ben-Chang Shia
Semiparametric prognosis models in genomic studies. Briefings Bioinform. 11 (4) (2010)
Shuangge Ma, Jian Huang
Regularized gene selection in cancer microarray meta-analysis. BMC Bioinform. 10 (2009)
Shuangge Ma, Jian Huang
Penalized feature selection and classification in bioinformatics. Briefings Bioinform. 9 (5) (2008)
Shuangge Ma, Jian Huang
Additive risk survival model with microarray data. BMC Bioinform. 8 (2007)
Shuangge Ma, Jian Huang
Clustering threshold gradient descent regularization: with applications to microarray studies. Bioinform. 23 (4) (2007)
Shuangge Ma, Xiao Song, Jian Huang
Supervised group Lasso with applications to microarray data analysis. BMC Bioinform. 8 (2007)
Shuangge Ma, Xiao Song, Jian Huang
Regularized binormal ROC method in disease classificationusing microarray data. BMC Bioinform. 7 (2006)
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzella, Marcelo Bento Soares
A robust two-way semi-linear model for normalization of cDNA microarray data. BMC Bioinform. 6 (2005)
Shuangge Ma, Jian Huang
Regularized ROC method for disease classification and biomarker selection with microarray data. Bioinform. 21 (24) (2005)