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Hu Yang 0001
Person information
- affiliation: Chongqing University, Chongqing, China
Other persons with the same name
- Hu Yang — disambiguation page
- Hu Yang 0002
— University of Maryland, Cooperative Institute for Satellite Earth System Studies, College Park, MD, USA
- Hu Yang 0003
— Central University of Finance and Economics, Beijing, China
- Hu Yang 0004
— Liaoning Technical University, School of Geomatics, Fuxin, China
- Hu Yang 0005
— Chinese Academy of Sciences, Chengdu, China (and 1 more)
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2020 – today
- 2024
- [j69]Ruiyao Gao, Kai Qi
, Hu Yang
:
Fused robust geometric nonparallel hyperplane support vector machine for pattern classification. Expert Syst. Appl. 236: 121331 (2024) - [j68]Jiaqi Zhang
, Hu Yang
:
Bounded quantile loss for robust support vector machines-based classification and regression. Expert Syst. Appl. 242: 122759 (2024) - [j67]Hao Ming
, Hu Yang
:
A fast robust best subset regression. Knowl. Based Syst. 284: 111309 (2024) - [j66]Feihong Li, Hu Yang
:
A novel bounded loss framework for support vector machines. Neural Networks 178: 106476 (2024) - [j65]Hao Ming
, Hu Yang
:
L0 regularized logistic regression for large-scale data. Pattern Recognit. 146: 110024 (2024) - 2023
- [j64]Siwei Xia, Yuehan Yang
, Hu Yang
:
High-dimensional sparse portfolio selection with nonnegative constraint. Appl. Math. Comput. 443: 127766 (2023) - [j63]Yuehan Yang, Siwei Xia, Hu Yang
:
Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures. Comput. Stat. Data Anal. 178: 107620 (2023) - [j62]Kai Qi
, Hu Yang
:
LS-GNHSVM: A novel joint geometrical nonparallel hyperplane support vector machine. Expert Syst. Appl. 215: 119413 (2023) - [j61]Kai Qi
, Hu Yang
:
Capped Asymmetric Elastic Net Support Vector Machine for Robust Binary Classification. Int. J. Intell. Syst. 2023: 1-22 (2023) - [j60]Hao Ming
, Yinjun Chen, Hu Yang
:
One-step sparse estimates in the reverse penalty for high-dimensional correlated data. J. Comput. Appl. Math. 427: 115119 (2023) - [j59]Kai Qi
, Hu Yang
:
A novel robust nonparallel support vector classifier based on one optimization problem. Neural Comput. Appl. 35(1): 799-814 (2023) - 2022
- [j58]Kai Qi
, Hu Yang
:
Joint rescaled asymmetric least squared nonparallel support vector machine with a stochastic quasi-Newton based algorithm. Appl. Intell. 52(12): 14387-14405 (2022) - [j57]Kai Qi
, Jingwen Tu, Hu Yang
:
Joint sparse principal component regression with robust property. Expert Syst. Appl. 187: 115845 (2022) - [j56]Hao Ming
, Huilan Liu, Hu Yang
:
Least product relative error estimation for identification in multiplicative additive models. J. Comput. Appl. Math. 404: 113886 (2022) - [j55]Kai Qi
, Hu Yang
:
Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7199-7209 (2022) - 2021
- [j54]Ning Li, Hu Yang
, Jing Yang:
Nonnegative estimation and variable selection via adaptive elastic-net for high-dimensional data. Commun. Stat. Simul. Comput. 50(12): 4263-4279 (2021) - 2020
- [j53]Wanling Xie, Hu Yang
:
The Structured Smooth Adjustment for Square-root Regularization: Theory, algorithm and applications. Knowl. Based Syst. 207: 106278 (2020)
2010 – 2019
- 2019
- [j52]Shaoxin Wang
, Hu Yang
, Chaoli Yao:
On the penalized maximum likelihood estimation of high-dimensional approximate factor model. Comput. Stat. 34(2): 819-846 (2019) - [j51]Huilan Liu, Hu Yang
, Changgen Peng:
Weighted composite quantile regression for single index model with missing covariates at random. Comput. Stat. 34(4): 1711-1740 (2019) - [j50]Kai Qi
, Hu Yang
, Qingyu Hu, Dongjun Yang:
A new adaptive weighted imbalanced data classifier via improved support vector machines with high-dimension nature. Knowl. Based Syst. 185 (2019) - 2017
- [j49]Jing Lv, Chaohui Guo, Hu Yang
, Yalian Li:
A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data. Comput. Stat. Data Anal. 112: 129-144 (2017) - [j48]Jing Yang, Hu Yang
:
Robust modal estimation and variable selection for single-index varying-coefficient models. Commun. Stat. Simul. Comput. 46(4): 2976-2997 (2017) - [j47]Jing Yang, Hu Yang
:
Quantile regression and variable selection for single-index varying-coefficient models. Commun. Stat. Simul. Comput. 46(6): 4637-4653 (2017) - [j46]Jing Lv, Hu Yang
, Chaohui Guo:
Variable selection in partially linear additive models for modal regression. Commun. Stat. Simul. Comput. 46(7): 5646-5665 (2017) - [j45]Huilan Liu, Hu Yang
:
Estimation and variable selection in single-index composite quantile regression. Commun. Stat. Simul. Comput. 46(9): 7022-7039 (2017) - [j44]Chaolin Liu, Zhimin Zhang, Hu Yang
:
A note on a discrete time MAP risk model. J. Comput. Appl. Math. 309: 111-121 (2017) - 2016
- [j43]Xiaochao Xia
, Zhi Liu, Hu Yang
:
Regularized estimation for the least absolute relative error models with a diverging number of covariates. Comput. Stat. Data Anal. 96: 104-119 (2016) - [j42]Xiaochao Xia
, Hu Yang
, Jialiang Li
:
Feature screening for generalized varying coefficient models with application to dichotomous responses. Comput. Stat. Data Anal. 102: 85-97 (2016) - [j41]Hu Yang
, Jing Lv, Chaohui Guo:
Penalized LAD Regression for Single-index Models. Commun. Stat. Simul. Comput. 45(7): 2392-2408 (2016) - [j40]Jing Lv, Hu Yang
, Chaohui Guo:
Robust estimation for varying index coefficient models. Comput. Stat. 31(3): 1131-1167 (2016) - [j39]Jing Lv, Hu Yang
, Chaohui Guo:
Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data. Comput. Stat. 31(3): 1203-1234 (2016) - [j38]Jing Lv, Hu Yang
, Chaohui Guo:
Erratum to: Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data. Comput. Stat. 31(3): 1235 (2016) - [j37]Hu Yang
, Shaoxin Wang
:
A flexible condition number for weighted linear least squares problem and its statistical estimation. J. Comput. Appl. Math. 292: 320-328 (2016) - [j36]Chaohui Guo, Hu Yang
, Jing Lv:
Generalized varying index coefficient models. J. Comput. Appl. Math. 300: 1-17 (2016) - [j35]Jing Yang, Hu Yang
:
Smooth-threshold estimating equations for varying coefficient partially nonlinear models based on orthogonality-projection method. J. Comput. Appl. Math. 302: 24-37 (2016) - 2015
- [j34]Jing Lv, Hu Yang
, Chaohui Guo:
An efficient and robust variable selection method for longitudinal generalized linear models. Comput. Stat. Data Anal. 82: 74-88 (2015) - [j33]Jibo Wu, Hu Yang
:
On the Principal Component Liu-type Estimator in Linear Regression. Commun. Stat. Simul. Comput. 44(8): 2061-2072 (2015) - [j32]Jing Lv, Hu Yang
, Chaohui Guo:
Robust smooth-threshold estimating equations for generalized varying-coefficient partially linear models based on exponential score function. J. Comput. Appl. Math. 280: 125-140 (2015) - [j31]Hu Yang
, Chaohui Guo, Jing Lv:
SCAD penalized rank regression with a diverging number of parameters. J. Multivar. Anal. 133: 321-333 (2015) - 2014
- [j30]Chaohui Guo, Hu Yang
, Jing Lv:
Robust variable selection in semiparametric mean-covariance regression for longitudinal data analysis. Appl. Math. Comput. 245: 343-356 (2014) - [j29]Yalian Li, Hu Yang
:
Efficiency of a stochastic restricted two-parameter estimator in linear regression. Appl. Math. Comput. 249: 371-381 (2014) - [j28]Jibo Wu, Hu Yang
:
On the Stochastic Restricted Almost Unbiased Estimators in Linear Regression Model. Commun. Stat. Simul. Comput. 43(2): 428-440 (2014) - [j27]Yalian Li
, Hu Yang
:
Two Classes of Almost Unbiased Type Principal Component Estimators in Linear Regression Model. J. Appl. Math. 2014: 639070:1-639070:6 (2014) - [j26]Hu Yang
, Jing Yang:
A robust and efficient estimation and variable selection method for partially linear single-index models. J. Multivar. Anal. 129: 227-242 (2014) - 2013
- [j25]Wenxue Li, Hu Yang
:
Weighted Stochastic Restricted Estimation in Linear Measurement Error Models. Commun. Stat. Simul. Comput. 42(4): 932-968 (2013) - [j24]Abdul Shakoor
, Hu Yang
, Ilyas Ali:
Some Results for the Drazin Inverses of the Sum of Two Matrices and Some Block Matrices. J. Appl. Math. 2013: 804313:1-804313:7 (2013) - [j23]Chaolin Liu, Hu Yang
, Jibo Wu:
On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression. J. Appl. Math. 2013: 902715:1-902715:10 (2013) - 2012
- [j22]Xifu Liu, Hu Yang
:
Further results on the group inverses and Drazin inverses of anti-triangular block matrices. Appl. Math. Comput. 218(17): 8978-8986 (2012) - [j21]Hanyu Li
, Hu Yang
, Hua Shao:
Perturbation analysis for block downdating of the generalized Cholesky factorization. Appl. Math. Comput. 218(18): 9451-9461 (2012) - [j20]Hanyu Li
, Hu Yang
, Hua Shao:
Perturbation analysis for the hyperbolic QR factorization. Comput. Math. Appl. 63(12): 1607-1620 (2012) - [j19]Hanyu Li, Hu Yang
, Hua Shao:
Erratum to "Perturbation analysis for the hyperbolic QR factorization" [Computers & Mathematics with Applications 63 (2012) 1607-1620]. Comput. Math. Appl. 64(4): 686 (2012) - [j18]Jianwen Xu, Hu Yang
:
On the Preliminary Test Backfitting and Speckman Estimators in Partially Linear Models and Numerical Comparisons. Commun. Stat. Simul. Comput. 41(3): 327-341 (2012) - [j17]Pingping Zhang, Hu Yang
, Hanyu Li:
Relative and Absolute Perturbation Bounds for Weighted Polar Decomposition. J. Appl. Math. 2012: 219025:1-219025:15 (2012) - 2011
- [j16]Yuanyuan Hao, Hu Yang
:
On a compound Poisson risk model with delayed claims and random incomes. Appl. Math. Comput. 217(24): 10195-10204 (2011) - [j15]Hu Yang
, Xifu Liu:
Mixed-type reverse-order laws of (AB)(1, 2, 3) and (AB)(1, 2, 4). Appl. Math. Comput. 217(24): 10361-10367 (2011) - [j14]Xifu Liu, Hu Yang
:
An expression of the general common least-squares solution to a pair of matrix equations with applications. Comput. Math. Appl. 61(10): 3071-3078 (2011) - [j13]Zhimin Zhang, Hu Yang
:
Gerber-Shiu analysis in a perturbed risk model with dependence between claim sizes and interclaim times. J. Comput. Appl. Math. 235(5): 1189-1204 (2011) - [j12]Hu Yang
, Xifu Liu:
The Drazin inverse of the sum of two matrices and its applications. J. Comput. Appl. Math. 235(5): 1412-1417 (2011) - 2010
- [j11]Hanyu Li
, Hu Yang
, Hua Shao:
A note on the perturbation analysis for the generalized Cholesky factorization. Appl. Math. Comput. 215(11): 4022-4027 (2010) - [j10]Deqiang Liu, Hu Yang
:
The reverse order law for {1, 3, 4}-inverse of the product of two matrices. Appl. Math. Comput. 215(12): 4293-4303 (2010) - [j9]Hanyu Li
, Hu Yang
:
Relative perturbation bounds for weighted polar decomposition. Comput. Math. Appl. 59(2): 853-860 (2010) - [j8]Zhimin Zhang, Hu Yang
, Shuanming Li
:
The perturbed compound Poisson risk model with two-sided jumps. J. Comput. Appl. Math. 233(8): 1773-1784 (2010) - [j7]Zhimin Zhang, Hu Yang
:
On a risk model with stochastic premiums income and dependence between income and loss. J. Comput. Appl. Math. 234(1): 44-57 (2010) - [j6]Hu Yang
, Zhimin Zhang:
On a discrete risk model with two-sided jumps. J. Comput. Appl. Math. 234(3): 835-844 (2010)
2000 – 2009
- 2009
- [j5]Hu Yang
, Zhimin Zhang:
On a perturbed Sparre Andersen risk model with multi-layer dividend strategy. J. Comput. Appl. Math. 232(2): 612-624 (2009) - 2008
- [j4]Hu Yang
, Deqiang Liu, Jianwen Xu:
Matrix left symmetry factor and its applications in generalized inverses A(2, 4)T, S. Appl. Math. Comput. 197(2): 836-843 (2008) - [j3]Hu Yang
, Hanyu Li
:
Weighted UDV*-decomposition and weighted spectral decomposition for rectangular matrices and their applications. Appl. Math. Comput. 198(1): 150-162 (2008) - [j2]Hu Yang
, Hanyu Li
:
Perturbation bounds for weighted polar decomposition in the weighted unitarily invariant norm. Numer. Linear Algebra Appl. 15(8): 685-700 (2008) - [j1]Hu Yang
, Hanyu Li
:
Weighted Polar Decomposition and WGL Partial Ordering of Rectangular Complex Matrices. SIAM J. Matrix Anal. Appl. 30(2): 898-924 (2008) - 2005
- [c1]Hu Yang
, Jianwen Xu:
Classification Algorithms Based on Fisher Discriminant and Perceptron Neural Network. ISNN (2) 2005: 20-25
Coauthor Index
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