Chun-Xia Zhang

35 papers C 1Misc 2Journal 31Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward personalized risk-sensitive decision-making: A novel risk preference adaptive distributional reinforcement learning algorithm for stock trading.
Appl. Soft Comput.
Cong Ma, Fei Gao, Lizhen Ji, Chun-Xia Zhang, Li Long, Jiangshe Zhang
2024 J jnl
A two-stage spatial prediction modeling approach based on graph neural networks and neural processes.
Expert Syst. Appl.
Li-Li Bao, Chun-Xia Zhang, Jiang-She Zhang, Rui Guo
2023 J jnl
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty.
Comput. Geosci.
Li-Li Bao, Jiang-She Zhang, Chun-Xia Zhang, Rui Guo, Xiao-Li Wei, Zi-Lu Jiang
2022 J jnl
Forecasting stock volatility and value-at-risk based on temporal convolutional networks.
Expert Syst. Appl.
Chun-Xia Zhang, Jun Li, Xing-Fang Huang, Jiang-She Zhang, Hua-Chuan Huang
2021 J jnl
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution.
CoRR
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu
2021 C conf
Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification.
ICPRAM
Chun-Xia Zhang, Xiaoli Wei, Sang-Woon Kim
2020 J jnl
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss.
IEEE Trans. Geosci. Remote. Sens.
Shuang Xu, Ouafa Amira, Junmin Liu, Chun-Xia Zhang, Jiangshe Zhang, Guanghai Li
2020 J jnl
On selective learning in stochastic stepwise ensembles.
Int. J. Mach. Learn. Cybern.
Chun-Xia Zhang, Sang-Woon Kim, Jiang-She Zhang
2019 J jnl
A novel variational Bayesian method for variable selection in logistic regression models.
Comput. Stat. Data Anal.
Chun-Xia Zhang, Shuang Xu, Jiang-She Zhang
2019 J jnl
Adaptive Quantile Low-Rank Matrix Factorization.
CoRR
Shuang Xu, Chun-Xia Zhang, Jiang-She Zhang
2019 J jnl
Spectral Learning Algorithm Reveals Propagation Capability of Complex Networks.
IEEE Trans. Cybern.
Shuang Xu, Pei Wang, Chun-Xia Zhang, Jinhu Lü
2018 J jnl
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models.
Knowl. Based Syst.
Chun-Xia Zhang, Jiang-She Zhang, Qing-Yan Yin
2018 J jnl
Variational Bayesian Complex Network Reconstruction.
CoRR
Shuang Xu, Chun-Xia Zhang, Pei Wang, Jiang-She Zhang
2017 J jnl
A ranking-based strategy to prune variable selection ensembles.
Knowl. Based Syst.
Chun-Xia Zhang, Jiang-She Zhang, Qingyan Yin
2017 J jnl
Ensembling Variable Selectors by Stability Selection for the Cox Model.
Comput. Intell. Neurosci.
Qing-Yan Yin, Jun-Li Li, Chun-Xia Zhang
2016 J jnl
PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection.
Comput. Stat.
Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim
2016 J jnl
Randomizing outputs to increase variable selection accuracy.
Neurocomputing
Chun-Xia Zhang, Nan-Nan Ji, Guan-Wei Wang
2015 — conf
A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models.
MCS
Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang
2015 Misc conf
Building variable selection ensembles for linear regression models by adding noise.
ICMLC
Guan-Wei Wang, Chun-Xia Zhang
2015 J jnl
Investigating the Effect of Randomly Selected Feature Subsets on Bagging and Boosting.
Commun. Stat. Simul. Comput.
Guan-Wei Wang, Chun-Xia Zhang, Gao Guo
2014 J jnl
A sparse-response deep belief network based on rate distortion theory.
Pattern Recognit.
Nan-Nan Ji, Jiang-She Zhang, Chun-Xia Zhang
2014 Misc conf
Boosting variable selection algorithm for linear regression models.
ICNC
Chun-Xia Zhang, Guan-Wei Wang
2014 J jnl
Clustering with Prim's sequential representation of minimum spanning tree.
Appl. Math. Comput.
Guan-Wei Wang, Chun-Xia Zhang, Jian Zhuang
2014 J jnl
Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations.
Pattern Recognit. Lett.
Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Lei Wang
2014 J jnl
Enhancing performance of restricted Boltzmann machines via log-sum regularization.
Knowl. Based Syst.
Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Qingyan Yin
2014 J jnl
IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree.
Commun. Stat. Simul. Comput.
Chun-Xia Zhang, Guan-Wei Wang, Jiang-She Zhang, Gao Guo, Qing-Yan Ying
2014 J jnl
Learning ensemble classifiers via restricted Boltzmann machines.
Pattern Recognit. Lett.
Chun-Xia Zhang, Jiang-She Zhang, Nan-Nan Ji, Gao Guo
2010 J jnl
A variant of Rotation Forest for constructing ensemble classifiers.
Pattern Anal. Appl.
Chun-Xia Zhang, Jiang-She Zhang
2010 J jnl
Out-of-Bag Estimation of the Optimal Hyperparameter in SubBag Ensemble Method.
Commun. Stat. Simul. Comput.
Gai-Ying Zhang, Chun-Xia Zhang, Jiang-She Zhang
2009 J jnl
A novel method for constructing ensemble classifiers.
Stat. Comput.
Chun-Xia Zhang, Jiang-She Zhang
2009 J jnl
Using Boosting to prune Double-Bagging ensembles.
Comput. Stat. Data Anal.
Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang
2008 J jnl
A local boosting algorithm for solving classification problems.
Comput. Stat. Data Anal.
Chun-Xia Zhang, Jiang-She Zhang
2008 J jnl
An empirical study of using Rotation Forest to improve regressors.
Appl. Math. Comput.
Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang
2008 J jnl
RotBoost: A technique for combining Rotation Forest and AdaBoost.
Pattern Recognit. Lett.
Chun-Xia Zhang, Jiang-She Zhang
2007 J jnl
An empirical study of a test for polynomial relationships in randomly right censored regression models.
Comput. Stat. Data Anal.
Chun-Xia Zhang, Changlin Mei, Jiang-She Zhang