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Heng Lian

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Kernel-Based Regularized Learning with Random Projections: Beyond Least Squares.
[BibTeX]
[DOI]
Jiamin Liu
,
Junzhuo Gao
,
Heng Lian
SIAM J. Math. Data Sci., 2025

Sample efficient reinforcement learning via low-rank regularization.
[BibTeX]
[DOI]
Jiamin Liu
,
Heng Lian
Knowl. Based Syst., 2025

Sample Efficient Nonparametric Regression via Low-Rank Regularization.
[BibTeX]
[DOI]
Jiakun Jiang
,
Jiahao Peng
,
Heng Lian
J. Comput. Graph. Stat., 2025

AI-Driven Literature Mining for Intelligent Synthesis Design.
[BibTeX]
[DOI]
Heng Lian
,
Lei Du
,
Jian Wu
,
Yi He
Proceedings of the IEEE International Conference on Data Mining, 2025

2024
Robust low tubal rank tensor recovery via L2E criterion.
[BibTeX]
[DOI]
Zihao Song
,
Xiangjian Xu
,
Heng Lian
,
Weihua Zhao
Pattern Recognit., 2024

More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization.
[BibTeX]
[DOI]
Xu Liu
,
Heng Lian
,
Jian Huang
J. Mach. Learn. Res., 2024

Adaptive Huber trace regression with low-rank matrix parameter via nonconvex regularization.
[BibTeX]
[DOI]
Xiangyong Tan
,
Ling Peng
,
Heng Lian
,
Xiaohui Liu
J. Complex., 2024

Linear convergence of decentralized estimation for statistical estimation using gradient method.
[BibTeX]
[DOI]
Wangli Xu
,
Kehan Wang
,
Heng Lian
Neurocomputing, 2024

2023
Semiparametric function-on-function quantile regression model with dynamic single-index interactions.
[BibTeX]
[DOI]
Hanbing Zhu
,
Yuanyuan Zhang
,
Yehua Li
,
Heng Lian
Comput. Stat. Data Anal., June, 2023

Image recognition and classification with HOG based on nonlinear support tensor machine.
[BibTeX]
[DOI]
Chunyang Zhu
,
Weihua Zhao
,
Heng Lian
Multim. Tools Appl., May, 2023

Best subset selection for high-dimensional non-smooth models using iterative hard thresholding.
[BibTeX]
[DOI]
Yue Wang
,
Wenqi Lu
,
Heng Lian
Inf. Sci., May, 2023

Functional additive expectile regression in the reproducing kernel Hilbert space.
[BibTeX]
[DOI]
Yuzi Liu
,
Ling Peng
,
Qing Liu
,
Heng Lian
,
Xiaohui Liu
J. Multivar. Anal., 2023

Semiparametric penalized quadratic inference functions for longitudinal data in ultra-high dimensions.
[BibTeX]
[DOI]
Brittany Green
,
Heng Lian
,
Yan Yu
,
Tianhai Zu
J. Multivar. Anal., 2023

2022
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification.
[BibTeX]
[DOI]
Yingying Zhang
,
Yan-Yong Zhao
,
Heng Lian
J. Mach. Learn. Res., 2022

Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions.
[BibTeX]
[DOI]
Shaogao Lv
,
Heng Lian
J. Mach. Learn. Res., 2022

Life History Recorded in the Vagino-cervical Microbiome Along with Multi-omes.
[BibTeX]
[DOI]
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
Genom. Proteom. Bioinform., 2022

Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space.
[BibTeX]
[DOI]
Heng Lian
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces.
[BibTeX]
[DOI]
Guangren Yang
,
Xiaohui Liu
,
Heng Lian
J. Complex., 2021

Sketched quantile additive functional regression.
[BibTeX]
[DOI]
Yingying Zhang
,
Heng Lian
Neurocomputing, 2021

2019
Estimation and testing for partially functional linear errors-in-variables models.
[BibTeX]
[DOI]
Hanbing Zhu
,
Riquan Zhang
,
Zhou Yu
,
Heng Lian
,
Yanghui Liu
J. Multivar. Anal., 2019

Rank reduction for high-dimensional generalized additive models.
[BibTeX]
[DOI]
Hongmei Lin
,
Heng Lian
,
Hua Liang
J. Multivar. Anal., 2019

Reduced rank modeling for functional regression with functional responses.
[BibTeX]
[DOI]
Hongmei Lin
,
Xuejun Jiang
,
Heng Lian
,
Weiping Zhang
J. Multivar. Anal., 2019

Estimation for single-index models via martingale difference divergence.
[BibTeX]
[DOI]
Jicai Liu
,
Peirong Xu
,
Heng Lian
Comput. Stat. Data Anal., 2019

Pursuit of dynamic structure in quantile additive models with longitudinal data.
[BibTeX]
[DOI]
Xia Cui
,
Weihua Zhao
,
Heng Lian
,
Hua Liang
Comput. Stat. Data Anal., 2019

2018
On the sign consistency of the Lasso for the high-dimensional Cox model.
[BibTeX]
[DOI]
Shaogao Lv
,
Mengying You
,
Huazhen Lin
,
Heng Lian
,
Jian Huang
J. Multivar. Anal., 2018

Quantile regression for additive coefficient models in high dimensions.
[BibTeX]
[DOI]
Zengyan Fan
,
Heng Lian
J. Multivar. Anal., 2018

Time-varying quantile single-index model for multivariate responses.
[BibTeX]
[DOI]
Weihua Zhao
,
Yan Zhou
,
Heng Lian
Comput. Stat. Data Anal., 2018

A principal varying-coefficient model for quantile regression: Joint variable selection and dimension reduction.
[BibTeX]
[DOI]
Weihua Zhao
,
Xuejun Jiang
,
Heng Lian
Comput. Stat. Data Anal., 2018

Estimation and testing for time-varying quantile single-index models with longitudinal data.
[BibTeX]
[DOI]
Jianbo Li
,
Heng Lian
,
Xuejun Jiang
,
Xinyuan Song
Comput. Stat. Data Anal., 2018

2017
Quantile index coefficient model with variable selection.
[BibTeX]
[DOI]
Weihua Zhao
,
Heng Lian
J. Multivar. Anal., 2017

Estimation and variable selection for quantile partially linear single-index models.
[BibTeX]
[DOI]
Yuankun Zhang
,
Heng Lian
,
Yan Yu
J. Multivar. Anal., 2017

Estimation and model identification of longitudinal data time-varying nonparametric models.
[BibTeX]
[DOI]
Shu Liu
,
Jinhong You
,
Heng Lian
J. Multivar. Anal., 2017

Divide-and-Conquer for Debiased $l_1$-norm Support Vector Machine in Ultra-high Dimensions.
[BibTeX]
[DOI]
Heng Lian
,
Zengyan Fan
J. Mach. Learn. Res., 2017

Composite quantile regression for correlated data.
[BibTeX]
[DOI]
Weihua Zhao
,
Heng Lian
,
Xinyuan Song
Comput. Stat. Data Anal., 2017

2016
Posterior convergence for Bayesian functional linear regression.
[BibTeX]
[DOI]
Heng Lian
,
Taeryon Choi
,
Jie Meng
,
Seongil Jo
J. Multivar. Anal., 2016

Minimax convergence rates for kernel CCA.
[BibTeX]
[DOI]
Zengyan Fan
,
Heng Lian
J. Multivar. Anal., 2016

Robust closed-form estimators for the integer-valued GARCH (1, 1) model.
[BibTeX]
[DOI]
Qi Li
,
Heng Lian
,
Fukang Zhu
Comput. Stat. Data Anal., 2016

Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach.
[BibTeX]
[DOI]
Sanying Feng
,
Heng Lian
,
Fukang Zhu
Comput. Stat. Data Anal., 2016

A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data.
[BibTeX]
[DOI]
Sanying Feng
,
Heng Lian
,
Liugen Xue
Comput. Stat. Data Anal., 2016

2009
Total Variation, Adaptive Total Variation and Nonconvex Smoothly Clipped Absolute Deviation Penalty for Denoising Blocky Images
[BibTeX]
[DOI]
Aditya Chopra
,
Heng Lian
CoRR, 2009

2008
Bayesian Nonlinear Principal Component Analysis Using Random Fields
[BibTeX]
[DOI]
Heng Lian
CoRR, 2008

Automated mapping of large-scale chromatin structure in ENCODE.
[BibTeX]
[DOI]
Heng Lian
,
William A. Thompson
,
Robert E. Thurman
,
John A. Stamatoyannopoulos
,
William Stafford Noble
,
Charles E. Lawrence
Bioinform., 2008

2006
Variational Local Structure Estimation for Image Super-Resolution.
[BibTeX]
[DOI]
Heng Lian
Proceedings of the International Conference on Image Processing, 2006


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