Chun-Xia Zhang

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 14

Top Topics

Linear Regression Models

Linear Transformation

Ensemble Classifier

Top Venues

Knowl. Based Syst.

Commun. Stat. Simul. Comput.

Pattern Recognit. Lett.

Publications

Chun-Xia Zhang, Jun Li, Xing-Fang Huang, Jiang-She Zhang, Hua-Chuan Huang
Forecasting stock volatility and value-at-risk based on temporal convolutional networks. Expert Syst. Appl. 207 (2022)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CoRR (2021)
Chun-Xia Zhang, Xiaoli Wei, Sang-Woon Kim
Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification. ICPRAM (2021)
Shuang Xu, Ouafa Amira, Junmin Liu, Chun-Xia Zhang, Jiangshe Zhang, Guanghai Li
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss. IEEE Trans. Geosci. Remote. Sens. 58 (7) (2020)
Chun-Xia Zhang, Sang-Woon Kim, Jiang-She Zhang
On selective learning in stochastic stepwise ensembles. Int. J. Mach. Learn. Cybern. 11 (1) (2020)
Chun-Xia Zhang, Shuang Xu, Jiang-She Zhang
A novel variational Bayesian method for variable selection in logistic regression models. Comput. Stat. Data Anal. 133 (2019)
Shuang Xu, Pei Wang, Chun-Xia Zhang, Jinhu Lü
Spectral Learning Algorithm Reveals Propagation Capability of Complex Networks. IEEE Trans. Cybern. 49 (12) (2019)
Shuang Xu, Chun-Xia Zhang, Jiang-She Zhang
Adaptive Quantile Low-Rank Matrix Factorization. CoRR (2019)
Shuang Xu, Chun-Xia Zhang, Pei Wang, Jiang-She Zhang
Variational Bayesian Complex Network Reconstruction. CoRR (2018)
Chun-Xia Zhang, Jiang-She Zhang, Qing-Yan Yin
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models. Knowl. Based Syst. 153 (2018)
Chun-Xia Zhang, Jiang-She Zhang, Qingyan Yin
A ranking-based strategy to prune variable selection ensembles. Knowl. Based Syst. 125 (2017)
Qing-Yan Yin, Jun-Li Li, Chun-Xia Zhang
Ensembling Variable Selectors by Stability Selection for the Cox Model. Comput. Intell. Neurosci. 2017 (2017)
Chun-Xia Zhang, Nan-Nan Ji, Guan-Wei Wang
Randomizing outputs to increase variable selection accuracy. Neurocomputing 218 (2016)
Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim
PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection. Comput. Stat. 31 (4) (2016)
Guan-Wei Wang, Chun-Xia Zhang
Building variable selection ensembles for linear regression models by adding noise. ICMLC (2015)
Guan-Wei Wang, Chun-Xia Zhang, Gao Guo
Investigating the Effect of Randomly Selected Feature Subsets on Bagging and Boosting. Commun. Stat. Simul. Comput. 44 (3) (2015)
Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang
A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models. MCS (2015)
Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Lei Wang
Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations. Pattern Recognit. Lett. 45 (2014)
Chun-Xia Zhang, Guan-Wei Wang, Jiang-She Zhang, Gao Guo, Qing-Yan Ying
IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree. Commun. Stat. Simul. Comput. 43 (10) (2014)
Nan-Nan Ji, Jiang-She Zhang, Chun-Xia Zhang
A sparse-response deep belief network based on rate distortion theory. Pattern Recognit. 47 (9) (2014)
Chun-Xia Zhang, Jiang-She Zhang, Nan-Nan Ji, Gao Guo
Learning ensemble classifiers via restricted Boltzmann machines. Pattern Recognit. Lett. 36 (2014)
Chun-Xia Zhang, Guan-Wei Wang
Boosting variable selection algorithm for linear regression models. ICNC (2014)
Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Qingyan Yin
Enhancing performance of restricted Boltzmann machines via log-sum regularization. Knowl. Based Syst. 63 (2014)
Guan-Wei Wang, Chun-Xia Zhang, Jian Zhuang
Clustering with Prim's sequential representation of minimum spanning tree. Appl. Math. Comput. 247 (2014)
Gai-Ying Zhang, Chun-Xia Zhang, Jiang-She Zhang
Out-of-Bag Estimation of the Optimal Hyperparameter in SubBag Ensemble Method. Commun. Stat. Simul. Comput. 39 (10) (2010)
Chun-Xia Zhang, Jiang-She Zhang
A variant of Rotation Forest for constructing ensemble classifiers. Pattern Anal. Appl. 13 (1) (2010)
Chun-Xia Zhang, Jiang-She Zhang
A novel method for constructing ensemble classifiers. Stat. Comput. 19 (3) (2009)
Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang
Using Boosting to prune Double-Bagging ensembles. Comput. Stat. Data Anal. 53 (4) (2009)
Chun-Xia Zhang, Jiang-She Zhang
A local boosting algorithm for solving classification problems. Comput. Stat. Data Anal. 52 (4) (2008)
Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang
An empirical study of using Rotation Forest to improve regressors. Appl. Math. Comput. 195 (2) (2008)
Chun-Xia Zhang, Jiang-She Zhang
RotBoost: A technique for combining Rotation Forest and AdaBoost. Pattern Recognit. Lett. 29 (10) (2008)
Chun-Xia Zhang, Chang-Lin Mei, Jiang-She Zhang
An empirical study of a test for polynomial relationships in randomly right censored regression models. Comput. Stat. Data Anal. 51 (12) (2007)