Zhe Wang

According to our database, Zhe Wang authored at least 167 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hybrid rotation self-supervision and feature space normalization for class incremental learning.

Wenyi Feng, Zhe Wang, Qian Zhang, Jiayi Gong, Xinlei Xu, Zhiling Fu

Inf. Sci., 2025

2024

Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning.

Dongdong Li, Li Xie, Zhe Wang, Hai Yang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Relationship constraint deep metric learning.

Yanbing Zhang, Ting Xiao, Zhe Wang, Xinru Wang, Wenyi Feng, Zhiling Fu, Hai Yang

Appl. Intell., April, 2024

Emotion embedding framework with emotional self-attention mechanism for speaker recognition.

Dongdong Li, Zhuo Yang, Jinlin Liu, Hai Yang, Zhe Wang

Expert Syst. Appl., March, 2024

Adaptive Semantic-Enhanced Transformer for Image Captioning.

Jing Zhang, Zhongjun Fang, Han Sun, Zhe Wang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

MAPFF: Multiangle Pyramid Feature Fusion Network for Infrared Dim Small Target Detection.

Hai Yang, Jing Liu, Zhe Wang, Zhiling Fu, Qinyan Tan, Saisai Niu

IEEE Trans. Geosci. Remote. Sens., 2024

Target-Focused Enhancement Network for Distant Infrared Dim and Small Target Detection.

Yunfei Tong, Yue Leng, Hai Yang, Zhe Wang

IEEE Trans. Geosci. Remote. Sens., 2024

Guided Attention and Joint Loss for Infrared Dim Small Target Detection.

Yunfei Tong, Jing Liu, Zhiling Fu, Zhe Wang, Hai Yang, Saisai Niu, Qinyan Tan

IEEE Trans. Geosci. Remote. Sens., 2024

Patch-Based Semantically Enhanced Network for IR Dim and Small Targets Background Suppression.

Yunfei Tong, Yue Leng, Hai Yang, Zhe Wang, Saisai Niu, Huabao Long

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

BMPCN: A Bigraph Mutual Prototype Calibration Net for few-shot classification.

Jing Zhang, Mingzhe Chen, Yunzuo Hu, Xinzhou Zhang, Zhe Wang

Pattern Recognit., 2024

Adaptive weighted dictionary representation using anchor graph for subspace clustering.

Wenyi Feng, Zhe Wang, Ting Xiao, Mengping Yang

Pattern Recognit., 2024

MCPL: Multi-model co-guided progressive learning for multimodal aspect-based sentiment analysis.

Jing Zhang, Jiaqi Qu, Jiangpei Liu, Zhe Wang

Knowl. Based Syst., 2024

Object aroused emotion analysis network for image sentiment analysis.

Jing Zhang, Jiangpei Liu, Weichao Ding, Zhe Wang

Knowl. Based Syst., 2024

Denoising for balanced representation: A diffusion-informed approach to causal effect estimation.

Hai Yang, Jing Yao, Zhe Wang, Yijing Yang

Knowl. Based Syst., 2024

Discriminative sparse subspace learning with manifold regularization.

Wenyi Feng, Zhe Wang, Xiqing Cao, Bin Cai, Wei Guo, Weichao Ding

Expert Syst. Appl., 2024

Freezing partial source representations matters for image inpainting under limited data.

Yanbing Zhang, Mengping Yang, Ting Xiao, Zhe Wang, Ziqiu Chi

Eng. Appl. Artif. Intell., 2024

Attention Calibration for Disentangled Text-to-Image Personalization.

Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering.

Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.

Tianhao Gu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang, Wenli Du

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Semantic alignment with self-supervision for class incremental learning.

Zhiling Fu, Zhe Wang, Xinlei Xu, Mengping Yang, Ziqiu Chi, Weichao Ding

Knowl. Based Syst., December, 2023

Distributed few-shot learning with prototype distribution correction.

Zhiling Fu, Dongfang Tang, Pingchuan Ma, Zhe Wang, Wen Gao

Appl. Intell., December, 2023

Multilabel Convolutional Network With Feature Denoising and Details Supplement.

Tianhao Gu, Zhe Wang, Zhongli Fang, Zonghai Zhu, Hai Yang, Dongdong Li, Wenli Du

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Personalized federated learning: A Clustered Distributed Co-Meta-Learning approach.

Maoye Ren, Zhe Wang, Xinhai Yu

Inf. Sci., November, 2023

Adaptive federated few-shot feature learning with prototype rectification.

Mengping Yang, Xu Chu, Jingwen Zhu, Yonghui Xi, Saisai Niu, Zhe Wang

Eng. Appl. Artif. Intell., November, 2023

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.

Hai Yang, Yawen Liu, Yijing Yang, Dongdong Li, Zhe Wang

Briefings Bioinform., September, 2023

Cross on Cross Attention: Deep Fusion Transformer for Image Captioning.

Jing Zhang, Yingshuai Xie, Weichao Ding, Zhe Wang

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Robust semi-supervised multi-view graph learning with sharable and individual structure.

Wei Guo, Zhe Wang, Wenli Du

Pattern Recognit., August, 2023

SEC-GAN for robust speaker recognition with emotional state dismatch.

Dongdong Li, Zhuo Yang, Zhe Wang, Ming Hua

Biomed. Signal Process. Control., August, 2023

Multiple Kernel Subspace Learning for Clustering and Classification.

Ziqiu Chi, Zhe Wang, Bolu Wang, Zhongli Fang, Zonghai Zhu, Dongdong Li, Wenli Du

IEEE Trans. Knowl. Data Eng., July, 2023

Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition.

Dongdong Li, Zhuo Yang, Zhe Wang, Hai Yang

Speech Commun., June, 2023

Federated probability memory recall for federated continual learning.

Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu, Hai Yang, Wenli Du

Inf. Sci., June, 2023

Multi-feature fusion enhanced transformer with multi-layer fused decoding for image captioning.

Jing Zhang, Zhongjun Fang, Zhe Wang

Appl. Intell., June, 2023

Knowledge aggregation networks for class incremental learning.

Zhiling Fu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang

Pattern Recognit., May, 2023

Flexible few-shot class-incremental learning with prototype container.

Xinlei Xu, Zhe Wang, Zhiling Fu, Wei Guo, Ziqiu Chi, Dongdong Li

Neural Comput. Appl., May, 2023

Multi-view dimensionality reduction learning with hierarchical sparse feature selection.

Wei Guo, Zhe Wang, Hai Yang, Wenli Du

Appl. Intell., May, 2023

Multi-view multi-manifold learning with local and global structure preservation.

Wenyi Feng, Zhe Wang

Appl. Intell., May, 2023

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

Xinlei Xu, Saisai Niu, Zhe Wang, Wei Guo, Lihong Jing, Hai Yang

Knowl. Based Syst., April, 2023

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach.

Hai Yang, Lipeng Gan, Rui Chen, Dongdong Li, Jing Zhang, Zhe Wang

Briefings Bioinform., January, 2023

RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection.

Zhe Wang, Tao Zang, Zhiling Fu, Hai Yang, Wenli Du

IEEE Trans. Geosci. Remote. Sens., 2023

Hierarchical decoding with latent context for image captioning.

Jing Zhang, Yingshuai Xie, Kangkang Li, Zhe Wang, Wen Du

Neural Comput. Appl., 2023

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

Wei Guo, Zhe Wang, Ziqiu Chi, Xinlei Xu, Dongdong Li, Songyang Wu

Knowl. Based Syst., 2023

ProtoGAN: Towards high diversity and fidelity image synthesis under limited data.

Mengping Yang, Zhe Wang, Ziqiu Chi, Wenli Du

Inf. Sci., 2023

Personalized Federated Continual Learning for Task-Incremental Biometrics.

Dongdong Li, Nan Huang, Zhe Wang, Hai Yang

IEEE Internet Things J., 2023

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

Xinlei Xu, Zhe Wang, Ziqiu Chi, Hai Yang, Wenli Du

Expert Syst. Appl., 2023

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

Mengping Yang, Saisai Niu, Zhe Wang, Dongdong Li, Wenli Du

Eng. Appl. Artif. Intell., 2023

Image Synthesis under Limited Data: A Survey and Taxonomy.

Mengping Yang, Zhe Wang

CoRR, 2023

Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation.

Mengping Yang, Zhe Wang, Wenyi Feng, Qian Zhang, Ting Xiao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Semantic-Aware Generator and Low-level Feature Augmentation for Few-shot Image Generation.

Zhe Wang, Jiaoyan Guan, Mengping Yang, Ting Xiao, Ziqiu Chi

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition.

Zhongliang Zeng, Dongdong Li, Zhe Wang, Hai Yang

Proceedings of the International Joint Conference on Neural Networks, 2023

Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition.

Zhengji Xuan, Dongdong Li, Zhe Wang, Hai Yang

Proceedings of the International Joint Conference on Neural Networks, 2023

Robust Structured Sparse Subspace Clustering with Neighborhood Preserving Projection.

Wenyi Feng, Wei Guo, Ting Xiao, Zhe Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

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

Ziqiu Chi, Zhe Wang, Wenli Du

IEEE Trans. Neural Networks Learn. Syst., 2022

Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

IEEE Trans. Cybern., 2022

Task Encoding With Distribution Calibration for Few-Shot Learning.

Jing Zhang, Xinzhou Zhang, Zhe Wang

IEEE Trans. Circuits Syst. Video Technol., 2022

Graph-Based Object Semantic Refinement for Visual Emotion Recognition.

Jing Zhang, Xinyu Liu, Zhe Wang, Hai Yang

IEEE Trans. Circuits Syst. Video Technol., 2022

Semantic Supplementary Network With Prior Information for Multi-Label Image Classification.

Zhe Wang, Zhongli Fang, Dongdong Li, Hai Yang, Wenli Du

IEEE Trans. Circuits Syst. Video Technol., 2022

Learning to Capture the Query Distribution for Few-Shot Learning.

Ziqiu Chi, Zhe Wang, Mengping Yang, Dongdong Li, Wenli Du

IEEE Trans. Circuits Syst. Video Technol., 2022

Geometric imbalanced deep learning with feature scaling and boundary sample mining.

Zhe Wang, Qida Dong, Wei Guo, Dongdong Li, Jing Zhang, Wenli Du

Pattern Recognit., 2022

Gravitation balanced multiple kernel learning for imbalanced classification.

Mengping Yang, Zhe Wang, Yanqiong Li, Yangming Zhou, Dongdong Li, Wenli Du

Neural Comput. Appl., 2022

Image sentiment classification via multi-level sentiment region correlation analysis.

Jing Zhang, Xinyu Liu, Mei Chen, Qi Ye, Zhe Wang

Neurocomputing, 2022

Boundary-based Fuzzy-SVDD for one-class classification.

Dongdong Li, Xinlei Xu, Zhe Wang, Chenjie Cao, Minguang Wang

Int. J. Intell. Syst., 2022

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization.

Wei Guo, Zhe Wang, Menghao Ma, Lilong Chen, Hai Yang, Dongdong Li, Wenli Du

Int. J. Intell. Syst., 2022

Pseudolabel-guided multiview consensus graph learning for semisupervised classification.

Wei Guo, Zhe Wang, Wenli Du

Int. J. Intell. Syst., 2022

Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation.

Ziqiu Chi, Zhe Wang, Wenli Du

IEEE Intell. Syst., 2022

Multi-attention mutual information distributed framework for few-shot learning.

Zhe Wang, Pingchuan Ma, Ziqiu Chi, Dongdong Li, Hai Yang, Wenli Du

Expert Syst. Appl., 2022

TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition.

Dongdong Li, Jinlin Liu, Zhe Wang, Yanqiong Li, Baijun Chen, Lizhi Cai

Circuits Syst. Signal Process., 2022

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

Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang

CoRR, 2022

Client selection based weighted federated few-shot learning.

Xinlei Xu, Saisai Niu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du

Appl. Soft Comput., 2022

Multi-type features separating fusion learning for Speech Emotion Recognition.

Xinlei Xu, Dongdong Li, Yijun Zhou, Zhe Wang

Appl. Soft Comput., 2022

Spatial-frequency convolutional self-attention network for EEG emotion recognition.

Dongdong Li, Li Xie, Bing Chai, Zhe Wang, Hai Yang

Appl. Soft Comput., 2022

Cost-sensitive matrixized classification learning with information entropy.

Zhe Wang, Xu Chu, Dongdong Li, Hai Yang, Weichao Qu

Appl. Soft Comput., 2022

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data.

Mengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Better Embedding and More Shots for Few-shot Learning.

Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation.

Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.

Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du

IEEE J. Biomed. Health Informatics, 2021

Variable Population Memetic Search: A Case Study on the Critical Node Problem.

Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai

IEEE Trans. Evol. Comput., 2021

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

Dongdong Li, Bing Chai, Zhe Wang, Hai Yang, Wenli Du

IEEE Trans. Cogn. Dev. Syst., 2021

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video.

Tianhao Gu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du, Yangming Zhou

IEEE Trans. Cogn. Dev. Syst., 2021

BLSTM and CNN Stacking Architecture for Speech Emotion Recognition.

Dongdong Li, Linyu Sun, Xinlei Xu, Zhe Wang, Jing Zhang, Wenli Du

Neural Process. Lett., 2021

Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs.

Yangming Zhou, Zhe Wang, Yan Jin, Zhang-Hua Fu

Knowl. Based Syst., 2021

Parallel-fusion LSTM with synchronous semantic and visual information for image captioning.

Jing Zhang, Kangkang Li, Zhe Wang

J. Vis. Commun. Image Represent., 2021

Exploiting the potentialities of features for speech emotion recognition.

Dongdong Li, Yijun Zhou, Zhe Wang, Daqi Gao

Inf. Sci., 2021

Entropy-based hybrid sampling ensemble learning for imbalanced data.

Dongdong Li, Ziqiu Chi, Bolu Wang, Zhe Wang, Hai Yang, Wenli Du

Int. J. Intell. Syst., 2021

Visual enhanced gLSTM for image captioning.

Jing Zhang, Kangkang Li, Zhenkun Wang, Xianwen Zhao, Zhe Wang

Expert Syst. Appl., 2021

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

Dongdong Li, Jinlin Liu, Zhuo Yang, Linyu Sun, Zhe Wang

Expert Syst. Appl., 2021

Multi-kernel Support Vector Data Description with boundary information.

Wei Guo, Zhe Wang, Sisi Hong, Dongdong Li, Hai Yang, Wen Du

Eng. Appl. Artif. Intell., 2021

Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter.

Tianhao Gu, Zhe Wang, Ziqiu Chi, Yiwen Zhu, Wenli Du

Eng. Appl. Artif. Intell., 2021

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

Hai Yang, Rui Chen, Dongdong Li, Zhe Wang

Bioinform., 2021

Sample and feature selecting based ensemble learning for imbalanced problems.

Zhe Wang, Peng Jia, Xinlei Xu, Bolu Wang, Yujin Zhu, Dongdong Li

Appl. Soft Comput., 2021

2020

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

Hai Yang, Qiang Wei, Dongdong Li, Zhe Wang

PLoS Comput. Biol., November, 2020

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

Zhe Wang, Chenjie Cao, Yujin Zhu

IEEE Trans. Neural Networks Learn. Syst., 2020

Geometric Structural Ensemble Learning for Imbalanced Problems.

Zonghai Zhu, Zhe Wang, Dongdong Li, Yujin Zhu, Wenli Du

IEEE Trans. Cybern., 2020

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

Zhe Wang, Zonghai Zhu, Dongdong Li

Pattern Recognit., 2020

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou

Neural Networks, 2020

Efficient matrixized classification learning with separated solution process.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Jing Zhang

Neural Comput. Appl., 2020

Multi-matrices entropy discriminant ensemble learning for imbalanced problem.

Zhe Wang, Zhaozhi Chen, Yiwen Zhu, Jing Zhang, Wenli Du, Dongdong Li

Neural Comput. Appl., 2020

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

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

Knowl. Based Syst., 2020

Object semantics sentiment correlation analysis enhanced image sentiment classification.

Jing Zhang, Mei Chen, Han Sun, Dongdong Li, Zhe Wang

Knowl. Based Syst., 2020

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

Zhe Wang, Yanqiong Li, Dongdong Li, Zonghai Zhu, Wenli Du

Knowl. Based Syst., 2020

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

Zhe Wang, Bolu Wang, Yangming Zhou, Dongdong Li, Yichao Yin

J. Biomed. Informatics, 2020

Global and local multi-view multi-label learning.

Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang

Neurocomputing, 2020

Multiple Universum Empirical Kernel Learning.

Zhe Wang, Sisi Hong, Lijuan Yao, Dongdong Li, Wenli Du, Jing Zhang

Eng. Appl. Artif. Intell., 2020

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems.

Zhe Wang, Lilong Chen, Qi Fan, Dongdong Li, Daqi Gao

Eng. Appl. Artif. Intell., 2020

Feature rearrangement based deep learning system for predicting heart failure mortality.

Zhe Wang, Yiwen Zhu, Dongdong Li, Yichao Yin, Jing Zhang

Comput. Methods Programs Biomed., 2020

2019

Locality Density-Based Fuzzy Multiple Empirical Kernel Learning.

Qi Fan, Zhe Wang, Daqi Gao

Neural Process. Lett., 2019

Semi-supervised one-pass multi-view learning.

Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding

Neural Comput. Appl., 2019

Image region label refinement using spatial position relation graph.

Jing Zhang, Zhenkun Wang, Yakun Mu, Zhe Wang

Knowl. Based Syst., 2019

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

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

Inf. Sci., 2019

Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem.

Zhe Wang, Bolu Wang, Yang Cheng, Dongdong Li, Jing Zhang

Neurocomputing, 2019

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

Jing Zhang, Ti Tao, Yakun Mu, Han Sun, Dongdong Li, Zhe Wang

Eng. Appl. Artif. Intell., 2019

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

Appl. Soft Comput., 2019

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

Zhe Wang, Yiwen Zhu, Zhaozhi Chen, Jing Zhang, Wenli Du

Appl. Intell., 2019

Support Vector Data Description with Fractional Order Kernel.

Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao

Proceedings of the 4th International Conference on Machine Learning Technologies, 2019

Another Dimension: Towards Multi-subnet Neural Network for Image Sentiment Analysis.

Jing Zhang, Han Sun, Zhe Wang, Tong Ruan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Multiple Empirical Kernel Learning with Discriminant Locality Preservation.

Bolu Wang, Dongdong Li, Zhe Wang

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems.

Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao

Knowl. Based Syst., 2018

Matrix-pattern-oriented classifier with boundary projection discrimination.

Zhe Wang, Zonghai Zhu

Knowl. Based Syst., 2018

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

Chenjie Cao, Zhe Wang

Knowl. Based Syst., 2018

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

Zhe Wang, Lijuan Yao, Dongdong Li, Tong Ruan, Min Liu, Ju Gao

Int. J. Medical Informatics, 2018

Information entropy based sample reduction for support vector data description.

Dongdong Li, Zhe Wang, Chenjie Cao, Yu Liu

Appl. Soft Comput., 2018

Entropy Based Boundary-Eliminated Pseudo-Inverse Linear Discriminant for Speech Emotion Recognition.

Dongdong Li, Linyu Sun, Zhe Wang, Jing Zhang

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017

Entropy-based matrix learning machine for imbalanced data sets.

Changming Zhu, Zhe Wang

Pattern Recognit. Lett., 2017

MREKLM: A fast multiple empirical kernel learning machine.

Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao

Pattern Recognit., 2017

Regularized Matrix-Pattern-Oriented Classification Machine with Universum.

Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao

Neural Process. Lett., 2017

Locality sensitive discriminant matrixized learning machine.

Zhe Wang, Guowei Zhang, Dongdong Li, Yujin Zhu, Chenjie Cao

Knowl. Based Syst., 2017

Entropy-based fuzzy support vector machine for imbalanced datasets.

Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha

Knowl. Based Syst., 2017

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.

Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li

Eng. Appl. Artif. Intell., 2017

2016

Matrixized Learning Machine with Feature-Clustering Interpolation.

Yujin Zhu, Zhe Wang, Daqi Gao

Neural Process. Lett., 2016

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

Changming Zhu, Zhe Wang, Daqi Gao

Knowl. Based Syst., 2016

Multiple empirical kernel learning with locality preserving constraint.

Qi Fan, Daqi Gao, Zhe Wang

Knowl. Based Syst., 2016

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

Qi Fan, Zhe Wang, Daqi Gao

Eng. Appl. Artif. Intell., 2016

2015

Matrixized learning machine with modified pairwise constraints.

Yujin Zhu, Zhe Wang, Daqi Gao

Pattern Recognit., 2015

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

Zhe Wang, Qi Fan, Wenbo Jie, Daqi Gao

Neural Process. Lett., 2015

Gravitational fixed radius nearest neighbor for imbalanced problem.

Yujin Zhu, Zhe Wang, Daqi Gao

Knowl. Based Syst., 2015

McMatMHKS: A direct multi-class matrixized learning machine.

Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao

Knowl. Based Syst., 2015

MPEKDyL: Efficient multi-partial empirical kernel dynamic learning.

Qi Fan, Zhe Wang, Daqi Gao, Dongdong Li

Knowl. Based Syst., 2015

Double-fold localized multiple matrixized learning machine.

Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng

Inf. Sci., 2015

Structural multiple empirical kernel learning.

Zhe Wang, Qi Fan, Sheng Ke, Daqi Gao

Inf. Sci., 2015

Globalized and localized canonical correlation analysis with multiple empirical kernel mapping.

Changming Zhu, Zhe Wang, Daqi Gao

Neurocomputing, 2015

Multiple Empirical Kernel Learning with dynamic pairwise constraints.

Zhe Wang, Qi Fan, Daqi Gao

Appl. Soft Comput., 2015

2014

Multi-kernel classification machine with reduced complexity.

Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng

Knowl. Based Syst., 2014

Multi-view learning with Universum.

Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao

Knowl. Based Syst., 2014

Cost-Sensitive Multi-View Learning Machine.

Zhe Wang, Mingzhe Lu, Zengxin Niu, Xiangyang Xue, Daqi Gao

Int. J. Pattern Recognit. Artif. Intell., 2014

Globalized and localized matrix-pattern-oriented classification machine.

Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo

Appl. Soft Comput., 2014

2013

Three-fold structured classifier design based on matrix pattern.

Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen

Pattern Recognit., 2013

Multiple empirical kernel learning based on local information.

Zhe Wang, Jin Xu, Daqi Gao, Yu Fu

Neural Comput. Appl., 2013

An efficient Kernel-based matrixized least squares support vector machine.

Zhe Wang, Xisheng He, Daqi Gao, Xiangyang Xue

Neural Comput. Appl., 2013

Random projection ensemble learning with multiple empirical kernels.

Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao

Knowl. Based Syst., 2013

A novel multiple Nyström-approximating kernel discriminant analysis.

Zhe Wang, Wenbo Jie, Daqi Gao

Neurocomputing, 2013

2012

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

Xisheng He, Zhe Wang, Cheng Jin, Yingbin Zheng, Xiangyang Xue

Pattern Recognit. Lett., 2012

Regularized multi-view learning machine based on response surface technique.

Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao

Neurocomputing, 2012

2011

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

Zhe Wang, Songcan Chen, Daqi Gao

Pattern Recognit., 2011

A novel multi-view classifier based on Nyström approximation.

Zhe Wang, Songcan Chen, Daqi Gao

Expert Syst. Appl., 2011

2010

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

Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan

Neural Process. Lett., 2010

An Effective Support Vector Data Description with Relevant Metric Learning.

Zhe Wang, Daqi Gao, Zhisong Pan

Proceedings of the Advances in Neural Networks, 2010

A novel DoubleMinOver classifier based On second-order tensor.

Zhe Wang, Rui Han, Zhisong Pan, Xuelei Ni

Proceedings of the Sixth International Conference on Natural Computation, 2010

Discriminant Support Vector Data Description.

Zhe Wang, Daqi Gao

Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

2009

Multi-view kernel machine on single-view data.

Zhe Wang, Songcan Chen

Neurocomputing, 2009

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

Zhe Wang, Songcan Chen, Daqi Gao

Proceedings of the Sixth International Symposium on Neural Networks, 2009

Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping.

Zhe Wang, Songcan Chen, Zhisong Pan, Xuelei Ni

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008

Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector.

Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang

IEEE Trans. Neural Networks, 2008

Matrix-pattern-oriented least squares support vector classifier with AdaBoost.

Zhe Wang, Songcan Chen

Pattern Recognit. Lett., 2008

MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm.

Zhe Wang, Songcan Chen, Tingkai Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007

Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning.

Songcan Chen, Zhe Wang, Yongjun Tian

Pattern Recognit., 2007

New Least Squares Support Vector Machines Based on Matrix Patterns.

Zhe Wang, Songcan Chen

Neural Process. Lett., 2007