Zhe Wang
TitleCited byYear
MultiK-MHKS: a novel multiple kernel learning algorithm
Z Wang, S Chen, T Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (2), 348-353, 2008
New least squares support vector machines based on matrix patterns
Z Wang, S Chen
Neural processing letters 26 (1), 41-56, 2007
Multi-class support vector machine
Z Wang, X Xue
Support Vector Machines Applications, 23-48, 2014
Pattern representation in feature extraction and classifier design: matrix versus vector
Z Wang, S Chen, J Liu, D Zhang
IEEE Transactions on Neural Networks 19 (5), 758-769, 2008
A simplified multi-class support vector machine with reduced dual optimization
X He, Z Wang, C Jin, Y Zheng, X Xue
Pattern Recognition Letters 33 (1), 71-82, 2012
Matrix-pattern-oriented Ho–Kashyap classifier with regularization learning
S Chen, Z Wang, Y Tian
Pattern Recognition 40 (5), 1533-1543, 2007
A novel multi-view learning developed from single-view patterns
Z Wang, S Chen, D Gao
Pattern Recognition 44 (10-11), 2395-2413, 2011
Multi-view learning with universum
Z Wang, Y Zhu, W Liu, Z Chen, D Gao
Knowledge-Based Systems 70, 376-391, 2014
Entropy-based fuzzy support vector machine for imbalanced datasets
Q Fan, Z Wang, D Li, D Gao, H Zha
Knowledge-Based Systems 115, 87-99, 2017
Entropy-based matrix learning machine for imbalanced data sets
C Zhu, Z Wang
Pattern Recognition Letters 88, 72-80, 2017
Gravitational fixed radius nearest neighbor for imbalanced problem
DG Yujin Zhu, Zhe Wang
Knowledge-Based Systems 90, 224-238, 2015
Matrix-pattern-oriented least squares support vector classifier with AdaBoost
Z Wang, S Chen
Pattern Recognition Letters 29 (6), 745-753, 2008
An efficient Kernel-based matrixized least squares support vector machine
Z Wang, X He, D Gao, X Xue
Neural Computing and Applications 22 (1), 143-150, 2013
Multi-view kernel machine on single-view data
Z Wang, S Chen
Neurocomputing 72 (10-12), 2444-2449, 2009
Multi-kernel classification machine with reduced complexity
Z Wang, C Zhu, Z Niu, D Gao, X Feng
Knowledge-Based Systems 65, 83-95, 2014
Random projection ensemble learning with multiple empirical kernels
Z Wang, W Jie, S Chen, D Gao
Knowledge-Based Systems, 2013
One-sided Dynamic Undersampling No-Propagation Neural Networks for Imbalance Problem
DG Qi Fan, Zhe Wang
Engineering Applications of Artificial Intelligence 53, 62–73, 2016
Three-fold structured classifier design based on matrix pattern
Z Wang, C Zhu, D Gao, S Chen
Pattern Recognition, 2013
A novel multiple Nyström-approximating kernel discriminant analysis
Z Wang, W Jie, D Gao
Neurocomputing 119, 385-398, 2013
Regularized multi-view learning machine based on response surface technique
Z Wang, J Xu, S Chen, D Gao
Neurocomputing 97, 201-213, 2012
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Articles 1–20