Heng Lian

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 63

Top Topics

Quantile Regression

High Dimensions

Top Venues

J. Multivar. Anal.

Comput. Stat. Data Anal.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Wangli Xu, Jiamin Liu, Heng Lian
Distributed Estimation of Support Vector Machines for Matrix Data. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Wenqi Lu, Zhongyi Zhu, Rui Li, Heng Lian
Statistical performance of quantile tensor regression with convex regularization. J. Multivar. Anal. 200 (2024)
Yue Wang, Wenqi Lu, Heng Lian
Distributed statistical estimation in quantile regression over a network. Signal Process. 222 (2024)
Zihao Song, Xiangjian Xu, Heng Lian, Weihua Zhao
Robust low tubal rank tensor recovery via L2E criterion. Pattern Recognit. 149 (2024)
Wangli Xu, Kehan Wang, Heng Lian
Linear convergence of decentralized estimation for statistical estimation using gradient method. Neurocomputing 584 (2024)
Chunyang Zhu, Lei Wang, Weihua Zhao, Heng Lian
Image classification based on tensor network DenseNet model. Appl. Intell. 54 (8) (2024)
Xiangyong Tan, Ling Peng, Heng Lian, Xiaohui Liu
Adaptive Huber trace regression with low-rank matrix parameter via nonconvex regularization. J. Complex. 85 (2024)
Yaohong Yang, Lei Wang, Jiamin Liu, Rui Li, Heng Lian
Communication-efficient estimation of quantile matrix regression for massive datasets. Comput. Stat. Data Anal. 187 (2023)
Yuzi Liu, Ling Peng, Qing Liu, Heng Lian, Xiaohui Liu
Functional additive expectile regression in the reproducing kernel Hilbert space. J. Multivar. Anal. 198 (2023)
Jiamin Liu, Wangli Xu, Yue Wang, Heng Lian
Value iteration for streaming data on a continuous space with gradient method in an RKHS. Neural Networks 166 (2023)
Yue Wang, Wenqi Lu, Heng Lian
Best subset selection for high-dimensional non-smooth models using iterative hard thresholding. Inf. Sci. 625 (2023)
Jiamin Liu, Heng Lian
On Optimal Learning With Random Features. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Chunyang Zhu, Weihua Zhao, Heng Lian
Image recognition and classification with HOG based on nonlinear support tensor machine. Multim. Tools Appl. 82 (13) (2023)
Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian
Properties of Standard and Sketched Kernel Fisher Discriminant. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Brittany Green, Heng Lian, Yan Yu, Tianhai Zu
Semiparametric penalized quadratic inference functions for longitudinal data in ultra-high dimensions. J. Multivar. Anal. 196 (2023)
Hanbing Zhu, Yuanyuan Zhang, Yehua Li, Heng Lian
Semiparametric function-on-function quantile regression model with dynamic single-index interactions. Comput. Stat. Data Anal. 182 (2023)
Yue Wang, Heng Lian
On Linear Convergence of ADMM for Decentralized Quantile Regression. IEEE Trans. Signal Process. 71 (2023)
Heng Lian
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space. NeurIPS (2022)
Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
Online Deep Learning from Doubly-Streaming Data. ACM Multimedia (2022)
Yingying Zhang, Yan-Yong Zhao, Heng Lian
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification. J. Mach. Learn. Res. 23 (2022)
Zhuye Jie, Chen Chen, Lilan Hao, Fei Li, Liju Song, Xiaowei Zhang, Jie Zhu, Liu Tian, Xin Tong, Kaiye Cai, Zhe Zhang, Yanmei Ju, Xinlei Yu, Ying Li, Hongcheng Zhou, Haorong Lu, Xuemei Qiu, Qiang Li, Yunli Liao, Dongsheng Zhou, Heng Lian, Yong Zuo, Xiaomin Chen, Weiqiao Rao, Yan Ren, Yuan Wang, Jin Zi, Rong Wang, Na Liu, Jinghua Wu, Wei Zhang, Xiao Liu, Yang Zong, Weibin Liu, Liang Xiao, Yong Hou, Xun Xu, Huanming Yang, Jian Wang, Karsten Kristiansen, Huijue Jia
Life History Recorded in the Vagino-cervical Microbiome Along with Multi-omes. Genom. Proteom. Bioinform. 20 (2) (2022)
Yue Wang, Yan Zhou, Rui Li, Heng Lian
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space. Comput. Stat. Data Anal. 168 (2022)
Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
Online Deep Learning from Doubly-Streaming Data. CoRR (2022)
Shaogao Lv, Heng Lian
Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions. J. Mach. Learn. Res. 23 (2022)
Yue Wang, Weiping Zhang, Heng Lian
Distributed Partially Linear Additive Models With a High Dimensional Linear Part. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Guangren Yang, Xiaohui Liu, Heng Lian
Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces. J. Complex. 66 (2021)
Heng Lian, Jiamin Liu, Zengyan Fan
Distributed learning for sketched kernel regression. Neural Networks 143 (2021)
Yingying Zhang, Heng Lian
Sketched quantile additive functional regression. Neurocomputing 461 (2021)
Fode Zhang, Rui Li, Heng Lian
Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection. Inf. Sci. 547 (2021)
Heng Lian
Learning Rate for Convex Support Tensor Machines. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Weihua Zhao, Fode Zhang, Heng Lian
Debiasing and Distributed Estimation for High-Dimensional Quantile Regression. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Shaogao Lv, Zengyan Fan, Heng Lian, Taiji Suzuki, Kenji Fukumizu
A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model. Comput. Stat. Data Anal. 152 (2020)
Fode Zhang, Xuejun Wang, Rui Li, Heng Lian
Randomized sketches for sparse additive models. Neurocomputing 385 (2020)
Heng Lian, Fode Zhang, Wenqi Lu
Randomized sketches for kernel CCA. Neural Networks 127 (2020)
Hanbing Zhu, Rui Li, Riquan Zhang, Heng Lian
Nonlinear functional canonical correlation analysis via distance covariance. J. Multivar. Anal. 180 (2020)
Xia Cui, Hongmei Lin, Heng Lian
Partially functional linear regression in reproducing kernel Hilbert spaces. Comput. Stat. Data Anal. 150 (2020)
Hongmei Lin, Xuejun Jiang, Heng Lian, Weiping Zhang
Reduced rank modeling for functional regression with functional responses. J. Multivar. Anal. 169 (2019)
Jicai Liu, Peirong Xu, Heng Lian
Estimation for single-index models via martingale difference divergence. Comput. Stat. Data Anal. 137 (2019)
Hongmei Lin, Heng Lian, Hua Liang
Rank reduction for high-dimensional generalized additive models. J. Multivar. Anal. 173 (2019)
Xia Cui, Weihua Zhao, Heng Lian, Hua Liang
Pursuit of dynamic structure in quantile additive models with longitudinal data. Comput. Stat. Data Anal. 130 (2019)
Lili Yue, Gaorong Li, Heng Lian, Xiang Wan
Regression adjustment for treatment effect with multicollinearity in high dimensions. Comput. Stat. Data Anal. 134 (2019)
Hanbing Zhu, Riquan Zhang, Zhou Yu, Heng Lian, Yanghui Liu
Estimation and testing for partially functional linear errors-in-variables models. J. Multivar. Anal. 170 (2019)
Weihua Zhao, Xuejun Jiang, Heng Lian
A principal varying-coefficient model for quantile regression: Joint variable selection and dimension reduction. Comput. Stat. Data Anal. 127 (2018)
Jianbo Li, Heng Lian, Xuejun Jiang, Xinyuan Song
Estimation and testing for time-varying quantile single-index models with longitudinal data. Comput. Stat. Data Anal. 118 (2018)
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)
Zengyan Fan, Heng Lian
Quantile regression for additive coefficient models in high dimensions. J. Multivar. Anal. 164 (2018)
Weihua Zhao, Yan Zhou, Heng Lian
Time-varying quantile single-index model for multivariate responses. Comput. Stat. Data Anal. 127 (2018)
Shu Liu, Jinhong You, Heng Lian
Estimation and model identification of longitudinal data time-varying nonparametric models. J. Multivar. Anal. 156 (2017)
Weihua Zhao, Heng Lian, Xinyuan Song
Composite quantile regression for correlated data. Comput. Stat. Data Anal. 109 (2017)
Weihua Zhao, Heng Lian
Quantile index coefficient model with variable selection. J. Multivar. Anal. 154 (2017)
Yujie Li, Gaorong Li, Heng Lian, Tiejun Tong
Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models. J. Multivar. Anal. 155 (2017)
Yuankun Zhang, Heng Lian, Yan Yu
Estimation and variable selection for quantile partially linear single-index models. J. Multivar. Anal. 162 (2017)
Heng Lian, Zengyan Fan
Divide-and-Conquer for Debiased $l_1$-norm Support Vector Machine in Ultra-high Dimensions. J. Mach. Learn. Res. 18 (2017)
Kaifeng Zhao, Heng Lian
The Expectation-Maximization approach for Bayesian quantile regression. Comput. Stat. Data Anal. 96 (2016)
Zengyan Fan, Heng Lian
Minimax convergence rates for kernel CCA. J. Multivar. Anal. 150 (2016)
Sanying Feng, Heng Lian, Liugen Xue
A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data. Comput. Stat. Data Anal. 102 (2016)
Heng Lian, Taeryon Choi, Jie Meng, Seongil Jo
Posterior convergence for Bayesian functional linear regression. J. Multivar. Anal. 150 (2016)
Weihua Zhao, Heng Lian, Riquan Zhang, Peng Lai
Estimation and variable selection for proportional response data with partially linear single-index models. Comput. Stat. Data Anal. 96 (2016)
Heng Lian, Hua Liang
Separation of linear and index covariates in partially linear single-index models. J. Multivar. Anal. 143 (2016)
Heng Lian, Yongdai Kim
Nonconvex penalized reduced rank regression and its oracle properties in high dimensions. J. Multivar. Anal. 143 (2016)
Qi Li, Heng Lian, Fukang Zhu
Robust closed-form estimators for the integer-valued GARCH (1, 1) model. Comput. Stat. Data Anal. 101 (2016)
Xingyu Tang, Heng Lian
Mean and quantile boosting for partially linear additive models. Stat. Comput. 26 (5) (2016)
Sanying Feng, Heng Lian, Fukang Zhu
Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach. Comput. Stat. Data Anal. 103 (2016)
Heng Lian, Jie Meng, Kaifeng Zhao
Spline estimator for simultaneous variable selection and constant coefficient identification in high-dimensional generalized varying-coefficient models. J. Multivar. Anal. 141 (2015)
Gaorong Li, Peng Lai, Heng Lian
Variable selection and estimation for partially linear single-index models with longitudinal data. Stat. Comput. 25 (3) (2015)
Ye Tian, Heng Lian
A Note on Application of Nesterov's Method in Solving Lasso-Type Problems. Commun. Stat. Simul. Comput. 44 (7) (2015)
Yuao Hu, Kaifeng Zhao, Heng Lian
Bayesian quantile regression for partially linear additive models. Stat. Comput. 25 (3) (2015)
Heng Lian
Minimax prediction for functional linear regression with functional responses in reproducing kernel Hilbert spaces. J. Multivar. Anal. 140 (2015)
Heng Lian, Jie Meng, Zengyan Fan
Simultaneous estimation of linear conditional quantiles with penalized splines. J. Multivar. Anal. 141 (2015)
Heng Lian, Sanying Feng, Kaifeng Zhao
Parametric and semiparametric reduced-rank regression with flexible sparsity. J. Multivar. Anal. 136 (2015)
Heng Lian
Quantile regression for dynamic partially linear varying coefficient time series models. J. Multivar. Anal. 141 (2015)
Jianbo Li, Zhensheng Huang, Heng Lian
Empirical likelihood inference for general transformation models with right censored data. Stat. Comput. 24 (6) (2014)
Heng Lian
Semiparametric Bayesian information criterion for model selection in ultra-high dimensional additive models. J. Multivar. Anal. 123 (2014)
Heng Lian, Jianbo Li, Xingyu Tang
SCAD-penalized regression in additive partially linear proportional hazards models with an ultra-high-dimensional linear part. J. Multivar. Anal. 125 (2014)
Kaifeng Zhao, Heng Lian
Variational inferences for partially linear additive models with variable selection. Comput. Stat. Data Anal. 80 (2014)
Heng Lian, Gaorong Li
Series expansion for functional sufficient dimension reduction. J. Multivar. Anal. 124 (2014)
Heng Lian, Pang Du, Yuanzhang Li, Hua Liang
Partially linear structure identification in generalized additive models with NP-dimensionality. Comput. Stat. Data Anal. 80 (2014)
Gaorong Li, Heng Lian, Sanying Feng, Lixing Zhu
Automatic variable selection for longitudinal generalized linear models. Comput. Stat. Data Anal. 61 (2013)
Yuao Hu, Robert B. Gramacy, Heng Lian
Bayesian quantile regression for single-index models. Stat. Comput. 23 (4) (2013)
Heng Lian, Jianbo Li, Yuao Hu
Shrinkage variable selection and estimation in proportional hazards models with additive structure and high dimensionality. Comput. Stat. Data Anal. 63 (2013)
Zhaoping Hong, Heng Lian
Sparse-smooth regularized singular value decomposition. J. Multivar. Anal. 117 (2013)
Lichun Wang, Yuan You, Heng Lian
A simple and efficient algorithm for fused lasso signal approximator with convex loss function. Comput. Stat. 28 (4) (2013)
Peng Lai, Gaorong Li, Heng Lian
Quadratic inference functions for partially linear single-index models with longitudinal data. J. Multivar. Anal. 118 (2013)
Xingyu Tang, Jianbo Li, Heng Lian
Empirical likelihood for partially linear proportional hazards models with growing dimensions. J. Multivar. Anal. 121 (2013)
Zhaoping Hong, Heng Lian
BOPA: A Bayesian hierarchical model for outlier expression detection. Comput. Stat. Data Anal. 56 (12) (2012)
Zhaoping Hong, Heng Lian
Time-varying coefficient estimation in differential equation models with noisy time-varying covariates. J. Multivar. Anal. 103 (1) (2012)
Peng Lai, Qihua Wang, Heng Lian
Bias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data. J. Multivar. Anal. 105 (1) (2012)
Robert B. Gramacy, Heng Lian
Gaussian Process Single-Index Models as Emulators for Computer Experiments. Technometrics 54 (1) (2012)
Heng Lian
On feature selection with principal component analysis for one-class SVM. Pattern Recognit. Lett. 33 (9) (2012)
Gaorong Li, Liugen Xue, Heng Lian
Semi-varying coefficient models with a diverging number of components. J. Multivar. Anal. 102 (7) (2011)
Heng Lian
Sparse Bayesian hierarchical modeling of high-dimensional clustering problems. J. Multivar. Anal. 101 (7) (2010)
Aditya Chopra, Heng Lian
Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images. Pattern Recognit. 43 (8) (2010)
Aditya Chopra, Heng Lian
Total Variation, Adaptive Total Variation and Nonconvex Smoothly Clipped Absolute Deviation Penalty for Denoising Blocky Images CoRR (2009)
Heng Lian
Bayesian Nonlinear Principal Component Analysis Using Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 31 (4) (2009)
Heng Lian, William A. Thompson, Robert E. Thurman, John A. Stamatoyannopoulos, William Stafford Noble, Charles E. Lawrence
Automated mapping of large-scale chromatin structure in ENCODE. Bioinform. 24 (17) (2008)
Heng Lian
Bayesian Nonlinear Principal Component Analysis Using Random Fields CoRR (2008)
Heng Lian
On the Consistency of Bayesian Function Approximation Using Step Functions. Neural Comput. 19 (11) (2007)
Heng Lian
Variational local structure estimation for image super-resolution CoRR (2007)
Heng Lian
Variational Local Structure Estimation for Image Super-Resolution. ICIP (2006)