Jiang-She Zhang

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 28

Top Topics

Matrix Factorization

Restricted Boltzmann Machine

Compressive Sensing

Top Venues

Knowl. Based Syst.

IEEE Trans. Geosci. Remote. Sens.

Pattern Recognit. Lett.

Publications

Li-Li Bao, Jiang-She Zhang, Chunxia Zhang
Spatial multi-attention conditional neural processes. Neural Networks 173 (2024)
Linlin Feng, Changpeng Wang, Pei Liu, Kangjian Ge, Jiang-She Zhang
NCLDR: Nearest-Neighbor Contrastive Learning with Dual Correlation Loss for Dimensionality Reduction. Neurocomputing 594 (2024)
Chengli Tan, Jiang-She Zhang, Junmin Liu
Understanding Short-Range Memory Effects in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Zixiang Zhao, Jiang-She Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu
Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion. CVPR Workshops (2023)
Aoqi Song, Changpeng Wang, Chunxia Zhang, Jiang-She Zhang, Xiao-Li Wei, Xiong Deng
Hybrid Shot2Shot and Re-De-Noising Regularization for Random Noise Attenuation of Seismic Data. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Li-Li Bao, Jiang-She Zhang, Chun-Xia Zhang, Rui Guo, Xiao-Li Wei, Zi-Lu Jiang
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty. Comput. Geosci. 178 (2023)
Aoqi Song, Changpeng Wang, Chunxia Zhang, Jiang-She Zhang, Xiong Deng
Seismic Data Reconstruction via Recurrent Residual Multiscale Inference. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
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)
Junying Hu, C.-J. Richard Shi, Jiang-She Zhang
Saliency-based YOLO for single target detection. Knowl. Inf. Syst. 63 (3) (2021)
Guang Shi, Jiang-She Zhang, Junmin Liu, Chunxia Zhang, Changsheng Zhou, Shuyun Yang
Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59 (12) (2021)
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, 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)
Qiao Ke, Jiang-She Zhang, Houbing Song, Yan Wan
Big data analytics enabled by feature extraction based on partial independence. Neurocomputing 288 (2018)
Changpeng Wang, Wei Wei, Jiang-She Zhang, Houbing Song
Robust face recognition via discriminative and common hybrid dictionary learning. Appl. Intell. 48 (1) (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)
Kai Sun, Jiang-She Zhang, Chunxia Zhang, Junying Hu
Generalized extreme learning machine autoencoder and a new deep neural network. Neurocomputing 230 (2017)
Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang
A new regularized restricted Boltzmann machine based on class preserving. Knowl. Based Syst. 123 (2017)
Chun-Xia Zhang, Jiang-She Zhang, Qingyan Yin
A ranking-based strategy to prune variable selection ensembles. Knowl. Based Syst. 125 (2017)
Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang
A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer. Neurocomputing 267 (2017)
Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu
Graph-based discriminative concept factorization for data representation. Knowl. Based Syst. 118 (2017)
Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim
PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection. Comput. Stat. 31 (4) (2016)
Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin
group sparse regularization for compressive sensing. Signal Image Video Process. 10 (5) (2016)
Juan Wang, Jiang-She Zhang, Mingming Zhao
On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features. Pattern Anal. Appl. 19 (2) (2016)
Junying Hu, Jiang-She Zhang, Chunxia Zhang, Juan Wang
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons. Neurocomputing 171 (2016)
Huirong Li, Jiang-She Zhang, Junmin Liu
Class-driven concept factorization for image representation. Neurocomputing 190 (2016)
Huirong Li, Jiang-She Zhang, Changpeng Wang, Junmin Liu
Manifold regularized non-negative matrix factorization with label information. J. Electronic Imaging 25 (2) (2016)
Jiang-She Zhang, Changpeng Wang, Yu-Qian Yang
Learning latent features by nonnegative matrix factorization combining similarity judgments. Neurocomputing 155 (2015)
Changpeng Wang, Jiang-She Zhang, Guodong Chang, Qiao Ke
Singular Value Decomposition Projection for solving the small sample size problem in face recognition. J. Vis. Commun. Image Represent. 26 (2015)
Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng
Enhancing performance of the backpropagation algorithm via sparse response regularization. Neurocomputing 153 (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)
Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu
Enhancing Low-Rank Subspace Clustering by Manifold Regularization. IEEE Trans. Image Process. 23 (9) (2014)
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)
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)
Nannan Ji, Jiang-She Zhang
Parallel tempering with equi-energy moves for training of restricted boltzmann machines. IJCNN (2014)
Junmin Liu, Jiang-She Zhang
Spectral Unmixing via Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 52 (11) (2014)
Junmin Liu, Jiang-She Zhang
A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 50 (1) (2012)
Fei Zang, Jiang-She Zhang, Jiyuan Pan
Face recognition using Elasticfaces. Pattern Recognit. 45 (11) (2012)
Fei Zang, Jiang-She Zhang
Label propagation through sparse neighborhood and its applications. Neurocomputing 97 (2012)
Xu Qin, Jiang-She Zhang, Xiaodong Yan
A nonparametric circular-linear multivariate regression model with a rule-of-thumb bandwidth selector. Comput. Math. Appl. 62 (8) (2011)
Jiyuan Pan, Jiang-She Zhang
Large margin based nonnegative matrix factorization and partial least squares regression for face recognition. Pattern Recognit. Lett. 32 (14) (2011)
Fei Zang, Jiang-She Zhang
Discriminative learning by sparse representation for classification. Neurocomputing 74 (12-13) (2011)
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)
Gao Guo, Jiang-She Zhang, Gai-Ying Zhang
A method to sparsify the solution of support vector regression. Neural Comput. Appl. 19 (1) (2010)
Gai-Ying Zhang, Gao Guo, Jiang-She Zhang
Svr+rvr: a Robust Sparse Kernel Method for Regression. Int. J. Artif. Intell. Tools 19 (5) (2010)
Chun-Xia Zhang, Jiang-She Zhang
A novel method for constructing ensemble classifiers. Stat. Comput. 19 (3) (2009)
Xing-Fang Huang, Jiang-She Zhang
Edge-Preserving Filtering for Grey and Color Image. CSIE (5) (2009)
Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang
Using Boosting to prune Double-Bagging ensembles. Comput. Stat. Data Anal. 53 (4) (2009)
Gao Guo, Jiang-She Zhang, Gai-Ying Zhang
A method to sparsify the solution of support vector regression. Neural Comput. Appl. 18 (8) (2009)
Yong-Jun Wang, Jiang-She Zhang
A new constructing auxiliary function method for global optimization. Math. Comput. Model. 47 (11-12) (2008)
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)
Jiang-She Zhang, Xing-Fang Huang, Chenghu Zhou
An improved kernel regression method based on Taylor expansion. Appl. Math. Comput. 193 (2) (2007)
Yong-Jun Wang, Jiang-She Zhang
Global optimization by an improved differential evolutionary algorithm. Appl. Math. Comput. 188 (1) (2007)
Yong-Jun Wang, Jiang-She Zhang, Gai-Ying Zhang
A dynamic clustering based differential evolution algorithm for global optimization. Eur. J. Oper. Res. 183 (1) (2007)
Gao Guo, Jiang-She Zhang
Reducing examples to accelerate support vector regression. Pattern Recognit. Lett. 28 (16) (2007)
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)
Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang
Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory. Comput. Optim. Appl. 30 (3) (2005)
Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang
Variable Programming: A Generalized Minimax Problem. Part II: Algorithms. Comput. Optim. Appl. 30 (3) (2005)
Yong-Jun Wang, Jiang-She Zhang, Yu-Fen Zhang
An Effective and Efficient Two Stage Algorithm for Global Optimization. ICMLC (2005)
Jiang-She Zhang, Yiu-Wing Leung
Improved possibilistic C-means clustering algorithms. IEEE Trans. Fuzzy Syst. 12 (2) (2004)
Jiang-She Zhang, Yiu-Wing Leung
Robust clustering by pruning outliers. IEEE Trans. Syst. Man Cybern. Part B 33 (6) (2003)
Hong Qiao, Jiang-She Zhang, Zongben Xu
A new data processing method based on a biological model of the compound eye: direction quantization representation. IEEE Trans. Syst. Man Cybern. Part A 31 (3) (2001)
Yee Leung, Jiang-She Zhang, Zongben Xu
Clustering by Scale-Space Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 22 (12) (2000)
Yiu-Wing Leung, Jiang-She Zhang, Zongben Xu
Optimal neural network algorithm for on-line string matching. IEEE Trans. Syst. Man Cybern. Part B 28 (5) (1998)
Zong-Ben Xu, Jiang-She Zhang, Yiu-Wing Leung
An approximate algorithm for computing multidimensional convex hulls. Appl. Math. Comput. 94 (2-3) (1998)
Yee Leung, Jiang-She Zhang, Zongben Xu
Neural networks for convex hull computation. IEEE Trans. Neural Networks 8 (3) (1997)