Zhe Wang

发表

Multi-Class Support Vector Machine

Zhe Wang, Xiangyang Xue, X. Xue, 2014 .

Cost-Sensitive Multi-View Learning Machine

Xiangyang Xue, Mingzhe Lu, Zhe Wang, 2014, Int. J. Pattern Recognit. Artif. Intell..

2 Indirect Multi-Class SVM 2 . 2 . 1 SVM Classification

X. Xue, Zhe Wang, 2019 .

Reduced multiple empirical kernel learning machine

Zhe Wang, Mingzhe Lu, Daqi Gao, 2014, Cognitive Neurodynamics.

Discriminant Support Vector Data Description

Zhe Wang, Daqi Gao, 2010, Third International Workshop on Advanced Computational Intelligence.

Client selection based weighted federated few-shot learning

Zhe Wang, Hai Yang, Dongdong Li, 2022, Appl. Soft Comput..

An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection

Zhe Wang, Daqi Gao, Qi Fan, 2015, Neural Processing Letters.

Explicit Metric-Based Multiconcept Multi-Instance Learning With Triplet and Superbag

Zhe Wang, Wenli Du, Ziqiu Chi, 2021, IEEE Transactions on Neural Networks and Learning Systems.

New design goal of a classifier: Global and local structural risk minimization

Changming Zhu, Zhe Wang, Daqi Gao, 2016, Knowl. Based Syst..

Structural multiple empirical kernel learning

Qi Fan, Zhe Wang, Daqi Gao, 2015, Inf. Sci..

Three-fold structured classifier design based on matrix pattern

Zhe Wang, Changming Zhu, Daqi Gao, 2013, Pattern Recognit..

A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization

Zhisong Pan, Hui Xue, Songcan Chen, 2010, Neural Processing Letters.

Multi-view learning with Universum

Wenwen Liu, Zhe Wang, Zhihua Chen, 2014, Knowl. Based Syst..

A simplified multi-class support vector machine with reduced dual optimization

Xiangyang Xue, Cheng Jin, Yingbin Zheng, 2012, Pattern Recognit. Lett..

Cancer classification based on chromatin accessibility profiles with deep adversarial learning model

Hai Yang, Zhe Wang, Dongdong Li, 2020, PLoS Comput. Biol..

Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data

Dongdong Li, Hai Yang, Zhe Wang, 2021, Bioinform..

Entropy-based matrix learning machine for imbalanced data sets

Changming Zhu, Zhe Wang, Zhe Wang, 2017, Pattern Recognit. Lett..

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data

Lei Zhang, Zhe Wang, Hai Yang, 2022, IEEE International Conference on Bioinformatics and Biomedicine.

EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks

Dongdong Li, Hai Yang, Zhe Wang, 2021, IEEE Transactions on Cognitive and Developmental Systems.

Multi-kernel Support Vector Data Description with boundary information

Dongdong Li, Sisi Hong, Hai Yang, 2021, Eng. Appl. Artif. Intell..

Tree-based space partition and merging ensemble learning framework for imbalanced problems

Dongdong Li, Wenli Du, Zhe Wang, 2019, Inf. Sci..

Support Vector Data Description with Fractional Order Kernel

Changming Zhu, Zhe Wang, Daqi Gao, 2019, ICMLT.

A New One-class Classifier: Relevant Component Analysis Data Description

Zhe Wang, Daqi Gao, Zhe Wang, 2012 .

An Effective Support Vector Data Description with Relevant Metric Learning

Zhisong Pan, Zhe Wang, Daqi Gao, 2010, ISNN.

Mortality prediction system for heart failure with orthogonal relief and dynamic radius means

Min Liu, Dongdong Li, Tong Ruan, 2018, Int. J. Medical Informatics.

Efficient matrixized classification learning with separated solution process

Jing Zhang, Wenli Du, Zhe Wang, 2019, Neural Computing and Applications.

Matrixized Learning Machine with Feature-Clustering Interpolation

Zhe Wang, Daqi Gao, Yujin Zhu, 2016, Neural Processing Letters.

Exploiting the potentialities of features for speech emotion recognition

Zhe Wang, Dongdong Li, Yijun Zhou, 2021, Inf. Sci..

Geometric Structural Ensemble Learning for Imbalanced Problems

Zhe Wang, Wenli Du, Dongdong Li, 2020, IEEE Transactions on Cybernetics.

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data

Jing Zhang, Zhe Wang, Hai Yang, 2022, ArXiv.

Complementary features based prototype self-updating for few-shot learning

Zhe Wang, Hai Yang, Wenli Du, 2022, Expert Syst. Appl..

Speech emotion recognition using recurrent neural networks with directional self-attention

Dongdong Li, Zhe Wang, Linyu Sun, 2021, Expert Syst. Appl..

NearCount: Selecting critical instances based on the cited counts of nearest neighbors

Zhe Wang, Wenli Du, Dongdong Li, 2020, Knowl. Based Syst..

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems

Wenli Du, Dongdong Li, Zhe Wang, 2019, Appl. Soft Comput..

Multi-feature space similarity supplement for few-shot class incremental learning

Zhe Wang, Wei Guo, Hai Yang, 2023, Knowl. Based Syst..

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting

Zhe Wang, Dongdong Li, Yangming Zhou, 2019, Neural Networks.

DFSGAN: Introducing editable and representative attributes for few-shot image generation

Zhe Wang, Dongdong Li, Wenli Du, 2023, Eng. Appl. Artif. Intell..

IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems

Zhe Wang, Chenjie Cao, Zhe Wang, 2018, Knowl. Based Syst..

Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems

Zhe Wang, Chenjie Cao, Yujin Zhu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems

Zhe Wang, Chenjie Cao, Zhe Wang, 2019, Neural Networks.

Web image annotation based on Tri-relational Graph and semantic context analysis

Jing Zhang, Zhe Wang, Dongdong Li, 2019, Eng. Appl. Artif. Intell..

One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem

Qi Fan, Zhe Wang, Daqi Gao, 2016, Eng. Appl. Artif. Intell..

Feature rearrangement based deep learning system for predicting heart failure mortality

Jing Zhang, Zhe Wang, Dongdong Li, 2020, Comput. Methods Programs Biomed..

A novel multi-view learning developed from single-view patterns

Songcan Chen, Zhe Wang, Daqi Gao, 2011, Pattern Recognit..

Scalable one-stage multi-view subspace clustering with dictionary learning

Zhe Wang, Dongdong Li, Xinlei Xu, 2022, Knowl. Based Syst..

Multiple Kernel Subspace Learning for Clustering and Classification

Zhe Wang, Dongdong Li, Wenli Du, 2023, IEEE Transactions on Knowledge and Data Engineering.

Collaborative and geometric multi-kernel learning for multi-class classification

Dongdong Li, Zhe Wang, Zonghai Zhu, 2020, Pattern Recognit..

Multi-view dimensionality reduction learning with hierarchical sparse feature selection

Zhe Wang, Hai Yang, Wenli Du, 2022, Applied Intelligence.

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem

Dongdong Li, Zhe Wang, Wenli Du, 2020, Knowl. Based Syst..

An efficient Kernel-based matrixized least squares support vector machine

Xiangyang Xue, Zhe Wang, Daqi Gao, 2011, Neural Computing and Applications.

An efficient Kernel-based matrixized least squares support vector machine

X. Xue, Zhe Wang, Daqi Gao, 2011, Neural Computing and Applications.

Locality Density-Based Fuzzy Multiple Empirical Kernel Learning

Zhe Wang, Daqi Gao, Qi Fan, 2018, Neural Processing Letters.

Matrixized learning machine with modified pairwise constraints

Zhe Wang, Daqi Gao, Yujin Zhu, 2015, Pattern Recognit..

McMatMHKS: A direct multi-class matrixized learning machine

Yun Meng, Qi Fan, Songcan Chen, 2015, Knowl. Based Syst..

Globalized and localized matrix-pattern-oriented classification machine

Zhe Wang, Daqi Gao, Weibin Guo, 2014, Appl. Soft Comput..

Global and local multi-view multi-label learning

Duoqian Miao, Changming Zhu, Lai Wei, 2020, Neurocomputing.

Federated probability memory recall for federated continual learning

Zhe Wang, Hai Yang, Wenli Du, 2023, Information Sciences.

Knowledge aggregation networks for class incremental learning

Zhe Wang, Hai Yang, Dongdong Li, 2023, Pattern Recognition.

Entropy-based fuzzy support vector machine for imbalanced datasets

Hongyuan Zha, Dongdong Li, Qi Fan, 2017, Knowl. Based Syst..

Semi-supervised one-pass multi-view learning

Changming Zhu, Lai Wei, Rigui Zhou, 2018, Neural Computing and Applications.

Gravitational fixed radius nearest neighbor for imbalanced problem

Zhe Wang, Daqi Gao, Yujin Zhu, 2015, Knowl. Based Syst..

Multi‐view ensemble learning with empirical kernel for heart failure mortality prediction

Jing Zhang, Zhe Wang, Lilong Chen, 2019, International journal for numerical methods in biomedical engineering.

Flexible few-shot class-incremental learning with prototype container

Zhe Wang, Wei Guo, Dongdong Li, 2023, Neural Computing and Applications.

Multiple Empirical Kernel Learning with dynamic pairwise constraints

Qi Fan, Zhe Wang, Daqi Gao, 2015, Appl. Soft Comput..

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems

Zhe Wang, Daqi Gao, Chenjie Cao, 2018, Knowl. Based Syst..

Multi-type features separating fusion learning for Speech Emotion Recognition

Zhe Wang, Dongdong Li, Xinlei Xu, 2022, Appl. Soft Comput..

Regularized Matrix-Pattern-Oriented Classification Machine with Universum

Dongdong Li, Zhe Wang, Daqi Gao, 2017, Neural Processing Letters.

Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction

Zhe Wang, Dongdong Li, Yangming Zhou, 2019, J. Biomed. Informatics.

Multi-view learning with fisher kernel and bi-bagging for imbalanced problem

Zhe Wang, Wenli Du, Jing Zhang, 2019, Applied Intelligence.

Multiple empirical kernel learning based on local information

Zhe Wang, Daqi Gao, Jin Xu, 2013, Neural Computing and Applications.

Regularized multi-view learning machine based on response surface technique

Jin Xu, Songcan Chen, Zhe Wang, 2012, Neurocomputing.

A novel multi-view classifier based on Nyström approximation

Songcan Chen, Zhe Wang, Daqi Gao, 2011, Expert Syst. Appl..

Double-fold localized multiple matrixized learning machine

Xiang Feng, Changming Zhu, Zhe Wang, 2015, Inf. Sci..

Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem

Dongdong Li, Yang Cheng, Zhe Wang, 2019, Neurocomputing.

Matrix-pattern-oriented classifier with boundary projection discrimination

Zhe Wang, Zonghai Zhu, Zhe Wang, 2017, Knowl. Based Syst..

Locality sensitive discriminant matrixized learning machine

Dongdong Li, Zhe Wang, Chenjie Cao, 2017, Knowl. Based Syst..

Reduced multiple empirical kernel learning machine

Zhe Wang, Mingzhe Lu, Daqi Gao, 2014, Cognitive Neurodynamics.

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems

Hongyuan Zha, Zhe Wang, Daqi Gao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data

Dongdong Li, Zhe Wang, Wenli Du, 2020, IEEE Transactions on Cybernetics.

Multi-matrices entropy discriminant ensemble learning for imbalanced problem

Yiwen Zhu, Jing Zhang, Wenli Du, 2019, Neural Computing and Applications.

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems

Dongdong Li, Zhe Wang, Lilong Chen, 2020, Eng. Appl. Artif. Intell..

Random projection ensemble learning with multiple empirical kernels

Songcan Chen, Zhe Wang, Daqi Gao, 2013, Knowl. Based Syst..

Personalized Federated Continual Learning for Task-Incremental Biometrics

Zhe Wang, Hai Yang, Dongdong Li, 2023, IEEE Internet of Things Journal.

Information entropy based sample reduction for support vector data description

Yu Liu, Dongdong Li, Zhe Wang, 2018, Appl. Soft Comput..

A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness

Songcan Chen, Zhe Wang, Daqi Gao, 2009, ISNN.

A novel multiple Nyström-approximating kernel discriminant analysis

Zhe Wang, Daqi Gao, Wenbo Jie, 2013, Neurocomputing.

Matrixized Learning Machine with Feature-Clustering Interpolation

Zhe Wang, Daqi Gao, Yujin Zhu, 2016, Neural Processing Letters.

Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning

Zhe Wang, Hai Yang, Dongdong Li, 2023, IEEE Transactions on Neural Networks and Learning Systems.