Jian Huang - RankMe

57 papers A* 2Journal 54Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence. J. Mach. Learn. Res. Siming Zheng, Guohao Shen, Yuanyuan Lin, Jian Huang
2025	J	`jnl`	Relative Entropy Gradient Sampler for Unnormalized Distribution. J. Comput. Graph. Stat. Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
2025	J	`jnl`	Schrödinger-Föllmer Sampler. IEEE Trans. Inf. Theory Jian Huang, Yuling Jiao, Lican Kang, Xu Liao, Jin Liu, Yanyan Liu
2024	J	`jnl`	Adaptive debiased SGD in high-dimensional GLMs with streaming data. CoRR Ruijian Han, Lan Luo, Yuanhang Luo, Yuanyuan Lin, Jian Huang
2024	J	`jnl`	Deep Dimension Reduction for Supervised Representation Learning. IEEE Trans. Inf. Theory Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
2024	J	`jnl`	Gaussian Interpolation Flows. J. Mach. Learn. Res. Yuan Gao, Jian Huang, Yuling Jiao
2024	J	`jnl`	More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization. J. Mach. Learn. Res. Xu Liu, Heng Lian, Jian Huang
2024	J	`jnl`	Nonasymptotic Bounds for Adversarial Excess Risk under Misspecified Models. SIAM J. Math. Data Sci. Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang
2024	J	`jnl`	Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
2023	J	`jnl`	Conditional Stochastic Interpolation for Generative Learning. CoRR Ding Huang, Jian Huang, Ting Li, Guohao Shen
2023	J	`jnl`	Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2023	J	`jnl`	Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models. CoRR Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang
2023	J	`jnl`	Wasserstein Generative Regression. CoRR Shanshan Song, Tong Wang, Guohao Shen, Yuanyuan Lin, Jian Huang
2022	J	`jnl`	An Error Analysis of Generative Adversarial Networks for Learning Distributions. J. Mach. Learn. Res. Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
2022	A*	`conf`	Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2022	J	`jnl`	Deep Sufficient Representation Learning via Mutual Information. CoRR Siming Zheng, Yuanyuan Lin, Jian Huang
2022	J	`jnl`	Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
2022	J	`jnl`	GSDAR: a fast Newton algorithm for ℓ Comput. Stat. Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
2022	J	`jnl`	Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. CoRR Wenlu Tang, Guohao Shen, Yuanyuan Lin, Jian Huang
2022	J	`jnl`	PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. Signal Process. Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang, Yuanyuan Yang
2021	J	`jnl`	An error analysis of generative adversarial networks for learning distributions. CoRR Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
2021	—	`conf`	Deep Generative Learning via Euler Particle Transport. MSML Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
2021	J	`jnl`	Non-Asymptotic Error Bounds for Bidirectional GANs. CoRR Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
2021	A*	`conf`	Non-asymptotic Error Bounds for Bidirectional GANs. NeurIPS Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
2021	J	`jnl`	Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2021	J	`jnl`	Relative Entropy Gradient Sampler for Unnormalized Distributions. CoRR Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
2021	J	`jnl`	Wasserstein Generative Learning of Conditional Distribution. CoRR Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang
2020	J	`jnl`	A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. IEEE Trans. Neural Networks Learn. Syst. Yueyong Shi, Jian Huang, Yuling Jiao, Qinglong Yang
2020	J	`jnl`	A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models. CoRR Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
2020	J	`jnl`	CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinform. Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu
2020	J	`jnl`	Deep Dimension Reduction for Supervised Representation Learning. CoRR Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
2020	J	`jnl`	Generative Learning With Euler Particle Transport. CoRR Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
2020	J	`jnl`	Learning Implicit Generative Models with Theoretical Guarantees. CoRR Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu
2019	J	`jnl`	High-dimensional integrative analysis with homogeneity and sparsity recovery. J. Multivar. Anal. Xinfeng Yang, Xiaodong Yan, Jian Huang
2018	J	`jnl`	A Constructive Approach to $L_0$ Penalized Regression. J. Mach. Learn. Res. Jian Huang, Yuling Jiao, Yanyan Liu, Xiliang Lu
2018	J	`jnl`	A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso. Comput. Stat. Data Anal. Xingjie Shi, Yuan Huang, Jian Huang, Shuangge Ma
2018	J	`jnl`	On the sign consistency of the Lasso for the high-dimensional Cox model. J. Multivar. Anal. Shaogao Lv, Mengying You, Huazhen Lin, Heng Lian, Jian Huang
2018	J	`jnl`	Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares. SIAM J. Sci. Comput. Jian Huang, Yuling Jiao, Xiliang Lu, Liping Zhu
2018	J	`jnl`	SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties. CoRR Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang
2017	J	`jnl`	A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression. Commun. Stat. Simul. Comput. Yongxiu Cao, Jian Huang, Yuling Jiao, Yanyan Liu
2015	J	`jnl`	Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA. Briefings Bioinform. Qing Zhao, Xingjie Shi, Yang Xie, Jian Huang, Ben-Chang Shia, Shuangge Ma
2015	J	`jnl`	Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach. Bioinform. Xingjie Shi, Qing Zhao, Jian Huang, Yang Xie, Shuangge Ma
2015	J	`jnl`	Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors. Stat. Comput. Patrick Breheny, Jian Huang
2014	J	`jnl`	Majorization minimization by coordinate descent for concave penalized generalized linear models. Stat. Comput. Dingfeng Jiang, Jian Huang
2014	J	`jnl`	Similarity of markers identified from cancer gene expression studies: observations from GEO. Briefings Bioinform. Xingjie Shi, Shihao Shen, Jin Liu, Jian Huang, Yong Zhou, Shuangge Ma
2012	J	`jnl`	Identification of breast cancer prognosis markers via integrative analysis. Comput. Stat. Data Anal. Shuangge Ma, Ying Dai, Jian Huang, Yang Xie
2012	J	`jnl`	Integrative prescreening in analysis of multiple cancer genomic studies. BMC Bioinform. Rui Song, Jian Huang, Shuangge Ma
2010	J	`jnl`	Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method. Bioinform. Shuangge Ma, Yawei Zhang, Jian Huang, Xuesong Han, Theodore Holford, Qing Lan, Nathaniel Rothman, Peter Boyle, Tongzhang Zheng
2010	J	`jnl`	Semiparametric prognosis models in genomic studies. Briefings Bioinform. Shuangge Ma, Jian Huang, Mingyu Shi, Yang Li, Ben-Chang Shia
2009	J	`jnl`	Regularized gene selection in cancer microarray meta-analysis. BMC Bioinform. Shuangge Ma, Jian Huang
2008	J	`jnl`	Penalized feature selection and classification in bioinformatics. Briefings Bioinform. Shuangge Ma, Jian Huang
2007	J	`jnl`	Additive risk survival model with microarray data. BMC Bioinform. Shuangge Ma, Jian Huang
2007	J	`jnl`	Clustering threshold gradient descent regularization: with applications to microarray studies. Bioinform. Shuangge Ma, Jian Huang
2007	J	`jnl`	Supervised group Lasso with applications to microarray data analysis. BMC Bioinform. Shuangge Ma, Xiao Song, Jian Huang
2006	J	`jnl`	Regularized binormal ROC method in disease classificationusing microarray data. BMC Bioinform. Shuangge Ma, Xiao Song, Jian Huang
2005	J	`jnl`	A robust two-way semi-linear model for normalization of cDNA microarray data. BMC Bioinform. Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzella, Marcelo Bento Soares
2005	J	`jnl`	Regularized ROC method for disease classification and biomarker selection with microarray data. Bioinform. Shuangge Ma, Jian Huang