Jiang-She Zhang

76 papers B 1Misc 1Journal 71Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
An information-theoretic learning model based on importance sampling with application in face verification.
Pattern Recognit. Lett.
Jiang-She Zhang, Lizhen Ji, Fei Gao, Mengyao Li, Chunxia Zhang, Yukun Cui
2025 J jnl
Automatic fault interpretation method embedded with clustering task in 3D-UNet3+.
Expert Syst. Appl.
Chunxia Zhang, Qing Zou, Jiang-She Zhang, Yongjun Wang, Lu Huang, Chunfeng Tao
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
2024 J jnl
NCLDR: Nearest-Neighbor Contrastive Learning with Dual Correlation Loss for Dimensionality Reduction.
Neurocomputing
Linlin Feng, Changpeng Wang, Pei Liu, Kangjian Ge, Jiang-She Zhang
2024 J jnl
Spatial multi-attention conditional neural processes.
Neural Networks
Li-Li Bao, Jiang-She Zhang, Chunxia Zhang
2024 J jnl
Understanding Short-Range Memory Effects in Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Chengli Tan, Jiang-She Zhang, Junmin Liu
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
2023 — conf
Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion.
CVPR Workshops
Zixiang Zhao, Jiang-She Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu
2023 J jnl
Hybrid Shot2Shot and Re-De-Noising Regularization for Random Noise Attenuation of Seismic Data.
IEEE Geosci. Remote. Sens. Lett.
Aoqi Song, Changpeng Wang, Chunxia Zhang, Jiang-She Zhang, Xiao-Li Wei, Xiong Deng
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
2022 J jnl
Seismic Data Reconstruction via Recurrent Residual Multiscale Inference.
IEEE Geosci. Remote. Sens. Lett.
Aoqi Song, Changpeng Wang, Chunxia Zhang, Jiang-She Zhang, Xiong Deng
2021 J jnl
Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Guang Shi, Jiang-She Zhang, Junmin Liu, Chunxia Zhang, Changsheng Zhou, Shuyun Yang
2021 J jnl
Saliency-based YOLO for single target detection.
Knowl. Inf. Syst.
Junying Hu, Chuanjin Richard Shi, Jiang-She Zhang
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
2018 J jnl
Big data analytics enabled by feature extraction based on partial independence.
Neurocomputing
Qiao Ke, Jiang-She Zhang, Houbing Song, Yan Wan
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
Robust face recognition via discriminative and common hybrid dictionary learning.
Appl. Intell.
Changpeng Wang, Wei Wei, Jiang-She Zhang, Houbing Song
2018 J jnl
Variational Bayesian Complex Network Reconstruction.
CoRR
Shuang Xu, Chun-Xia Zhang, Pei Wang, Jiang-She Zhang
2017 J jnl
A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer.
Neurocomputing
Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang
2017 J jnl
A new regularized restricted Boltzmann machine based on class preserving.
Knowl. Based Syst.
Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia 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
Generalized extreme learning machine autoencoder and a new deep neural network.
Neurocomputing
Kai Sun, Jiang-She Zhang, Chunxia Zhang, Junying Hu
2017 J jnl
Graph-based discriminative concept factorization for data representation.
Knowl. Based Syst.
Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu
2016 J jnl
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons.
Neurocomputing
Junying Hu, Jiang-She Zhang, Chunxia Zhang, Juan Wang
2016 J jnl
Class-driven concept factorization for image representation.
Neurocomputing
Huirong Li, Jiang-She Zhang, Junmin Liu
2016 J jnl
Manifold regularized non-negative matrix factorization with label information.
J. Electronic Imaging
Huirong Li, Jiang-She Zhang, Changpeng Wang, Junmin Liu
2016 J jnl
On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features.
Pattern Anal. Appl.
Juan Wang, Jiang-She Zhang, Mingming Zhao
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
ℓ
Signal Image Video Process.
Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin
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 J jnl
Enhancing performance of the backpropagation algorithm via sparse response regularization.
Neurocomputing
Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng
2015 J jnl
Learning latent features by nonnegative matrix factorization combining similarity judgments.
Neurocomputing
Jiang-She Zhang, Changpeng Wang, Yu-Qian Yang
2015 J jnl
Singular Value Decomposition Projection for solving the small sample size problem in face recognition.
J. Vis. Commun. Image Represent.
Changpeng Wang, Jiang-She Zhang, Guodong Chang, Qiao Ke
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 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 Low-Rank Subspace Clustering by Manifold Regularization.
IEEE Trans. Image Process.
Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu
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
2014 B conf
Parallel tempering with equi-energy moves for training of restricted boltzmann machines.
IJCNN
Nannan Ji, Jiang-She Zhang
2014 J jnl
Spectral Unmixing via Compressive Sensing.
IEEE Trans. Geosci. Remote. Sens.
Junmin Liu, Jiang-She Zhang
2012 J jnl
A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction.
IEEE Trans. Geosci. Remote. Sens.
Junmin Liu, Jiang-She Zhang
2012 J jnl
Face recognition using Elasticfaces.
Pattern Recognit.
Fei Zang, Jiang-She Zhang, Jiyuan Pan
2012 J jnl
Label propagation through sparse neighborhood and its applications.
Neurocomputing
Fei Zang, Jiang-She Zhang
2011 J jnl
A nonparametric circular-linear multivariate regression model with a rule-of-thumb bandwidth selector.
Comput. Math. Appl.
Xu Qin, Jiang-She Zhang, Xiaodong Yan
2011 J jnl
Discriminative learning by sparse representation for classification.
Neurocomputing
Fei Zang, Jiang-She Zhang
2011 J jnl
Large margin based nonnegative matrix factorization and partial least squares regression for face recognition.
Pattern Recognit. Lett.
Jiyuan Pan, Jiang-She Zhang
2010 J jnl
A method to sparsify the solution of support vector regression.
Neural Comput. Appl.
Gao Guo, Jiang-She Zhang, Gai-Ying Zhang
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
2010 J jnl
Svr+rvr: a Robust Sparse Kernel Method for Regression.
Int. J. Artif. Intell. Tools
Gai-Ying Zhang, Gao Guo, Jiang-She Zhang
2009 J jnl
A method to sparsify the solution of support vector regression.
Neural Comput. Appl.
Gao Guo, Jiang-She Zhang, Gai-Ying Zhang
2009 J jnl
A novel method for constructing ensemble classifiers.
Stat. Comput.
Chun-Xia Zhang, Jiang-She Zhang
2009 — conf
Edge-Preserving Filtering for Grey and Color Image.
CSIE (5)
Xing-Fang Huang, 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
A new constructing auxiliary function method for global optimization.
Math. Comput. Model.
Yong-Jun Wang, 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
A dynamic clustering based differential evolution algorithm for global optimization.
Eur. J. Oper. Res.
Yong-Jun Wang, Jiang-She Zhang, Gai-Ying 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
2007 J jnl
An improved kernel regression method based on Taylor expansion.
Appl. Math. Comput.
Jiang-She Zhang, Xing-Fang Huang, Chenghu Zhou
2007 J jnl
Global optimization by an improved differential evolutionary algorithm.
Appl. Math. Comput.
Yong-Jun Wang, Jiang-She Zhang
2007 J jnl
Reducing examples to accelerate support vector regression.
Pattern Recognit. Lett.
Gao Guo, Jiang-She Zhang
2005 Misc conf
An Effective and Efficient Two Stage Algorithm for Global Optimization.
ICMLC
Yong-Jun Wang, Jiang-She Zhang, Yu-Fen Zhang
2005 J jnl
Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory.
Comput. Optim. Appl.
Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang
2005 J jnl
Variable Programming: A Generalized Minimax Problem. Part II: Algorithms.
Comput. Optim. Appl.
Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang
2004 J jnl
Improved possibilistic C-means clustering algorithms.
IEEE Trans. Fuzzy Syst.
Jiang-She Zhang, Yiu-Wing Leung
2003 J jnl
Robust clustering by pruning outliers.
IEEE Trans. Syst. Man Cybern. Part B
Jiang-She Zhang, Yiu-Wing Leung
2001 J jnl
A new data processing method based on a biological model of the compound eye: direction quantization representation.
IEEE Trans. Syst. Man Cybern. Part A
Hong Qiao, Jiang-She Zhang, Zongben Xu
2000 J jnl
Clustering by Scale-Space Filtering.
IEEE Trans. Pattern Anal. Mach. Intell.
Yee Leung, Jiang-She Zhang, Zongben Xu
1998 J jnl
An approximate algorithm for computing multidimensional convex hulls.
Appl. Math. Comput.
Zong-Ben Xu, Jiang-She Zhang, Yiu-Wing Leung
1998 J jnl
Optimal neural network algorithm for on-line string matching.
IEEE Trans. Syst. Man Cybern. Part B
Yiu-Wing Leung, Jiang-She Zhang, Zongben Xu
1997 J jnl
Neural networks for convex hull computation.
IEEE Trans. Neural Networks
Yee Leung, Jiang-She Zhang, Zongben Xu