Yong Zhang

According to our database, Yong Zhang authored at least 58 papers between 2005 and 2024.

Collaborative distances:

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

2024

Joint group and pairwise localities embedding for feature extraction.

Wenjun Hu, Ke Zhang, Shitong Wang, Yong Zhang

Inf. Sci., February, 2024

Incomplete multi-view clustering via self-attention networks and feature reconstruction.

Yong Zhang, Li Jiang, Da Liu, Wenzhe Liu

Appl. Intell., 2024

2023

Multi-label learning based on instance correlation and feature redundancy.

Yong Zhang, Yuqing Jiang, Qi Zhang, Da Liu

Pattern Recognit. Lett., December, 2023

An attention-based hybrid deep learning model for EEG emotion recognition.

Yong Zhang, Yidie Zhang, Shuai Wang

Signal Image Video Process., July, 2023

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition.

Cheng Cheng, Yong Zhang, Luyao Liu, Wenzhe Liu, Lin Feng

IEEE J. Biomed. Health Informatics, March, 2023

Enhanced tensor multi-view clustering via dual constraints.

Wenzhe Liu, Luyao Liu, Yong Zhang, Lin Feng

Eng. Appl. Artif. Intell., 2023

Multimodal Emotion Recognition From EEG Signals and Facial Expressions.

Shuai Wang, Jingzi Qu, Yong Zhang, Yidie Zhang

IEEE Access, 2023

Tensorial Multi-Linear Multi-View Clustering via Schatten-p Norm.

Wenzhe Liu, Li Jiang, Da Liu, Yong Zhang

IEEE Access, 2023

2022

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism.

Lin Feng, Cheng Cheng, Mingyan Zhao, Huiyuan Deng, Yong Zhang

IEEE J. Biomed. Health Informatics, 2022

Multimodal emotion recognition based on manifold learning and convolution neural network.

Yong Zhang, Cheng Cheng, YiDie Zhang

Multim. Tools Appl., 2022

Adaptive multi-view multiple-means clustering via subspace reconstruction.

Wenzhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, Lin Feng

Eng. Appl. Artif. Intell., 2022

Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling.

Yong Zhang, Cheng Cheng, Shuai Wang, Tianqi Xia

Biomed. Signal Process. Control., 2022

2021

Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization.

Lin Feng, Wenzhe Liu, Xiangzhu Meng, Yong Zhang

Neurocomputing, 2021

Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network.

Yong Zhang, Cheng Cheng, Yidie Zhang

IEEE Access, 2021

An Intrusion Detection System based on PSO-GWO Hybrid Optimized Support Vector Machine.

Kexin Li, Yong Zhang, Shuai Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Incremental Clustering With Hard Centers.

Jing Zhang, Tianzhen Chen, Yong Zhang

IEEE Multim., 2020

Ensemble emotion recognizing with multiple modal physiological signals.

Jing Zhang, Yong Zhang, Suhua Zhan, Cheng Cheng

CoRR, 2020

A Network Intrusion Detection Model based on the Combination of ReliefF and Borderline-SMOTE.

Jie Zhang, Yong Zhang, Kexin Li

Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

2019

Optimising data access latencies of virtual machine placement based on greedy algorithm in datacentre.

Xinyan Zhang, Keqiu Li, Yong Zhang

Int. J. Comput. Sci. Eng., 2019

Unsupervised band selection based on artificial bee colony algorithm for hyperspectral image classification.

Fuding Xie, Fangfei Li, Cunkuan Lei, Jun Yang, Yong Zhang

Appl. Soft Comput., 2019

Intrusion detection method based on information gain and ReliefF feature selection.

Yong Zhang, Xuezhen Ren, Jie Zhang

Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-Channel Physiological Signal Emotion Recognition Based on ReliefF Feature Selection.

Yong Zhang, Cheng Cheng, Tianzhen Chen

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

A Distributed PCM Clustering Algorithm Based on Spark.

Yong Zhang, Haoke Liu, Tianzhen Chen, Di Tang

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018

EEG-based classification of emotions using empirical mode decomposition and autoregressive model.

Yong Zhang, Suhua Zhang, Xiaomin Ji

Multim. Tools Appl., 2018

Ensemble Classification for Skewed Data Streams Based on Neural Network.

Yong Zhang, Jiaxin Yu, Wenzhe Liu, Kaoru Ota

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

A novel composite-kernel based PCM clustering algorithm.

Yong Zhang, Rongrong Chen, Jing Cai, Dan Huang

Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017

Classification of EEG Signals Based on Autoregressive Model and Wavelet Packet Decomposition.

Yong Zhang, Bo Liu, Xiaomin Ji, Dan Huang

Neural Process. Lett., 2017

Ensemble weighted extreme learning machine for imbalanced data classification based on differential evolution.

Yong Zhang, Bo Liu, Jing Cai, Suhua Zhang

Neural Comput. Appl., 2017

Combined feature extraction method for classification of EEG signals.

Yong Zhang, Xiaomin Ji, Bo Liu, Dan Huang, Fuding Xie, Yuting Zhang

Neural Comput. Appl., 2017

A selective ensemble learning approach based on evolutionary algorithm.

Yong Zhang, Bo Liu, Jiaxin Yu

J. Intell. Fuzzy Syst., 2017

Dual weighted extreme learning machine for imbalanced data stream classification.

Yong Zhang, Wenzhe Liu, Xuezhen Ren, Yonggong Ren

J. Intell. Fuzzy Syst., 2017

EEG-based emotion recognition using empirical wavelet transform.

Dan Huang, Suhua Zhang, Yong Zhang

Proceedings of the 4th International Conference on Systems and Informatics, 2017

2015

Comparison of classification methods on EEG signals based on wavelet packet decomposition.

Yong Zhang, Yuting Zhang, Jianying Wang, Xiaowei Zheng

Neural Comput. Appl., 2015

Minimum-cost virtual machine migration strategy in datacenter.

Xinyan Zhang, Keqiu Li, Yong Zhang

Concurr. Comput. Pract. Exp., 2015

Classification of EEG signals based on AR model and approximate entropy.

Yong Zhang, Xiaomin Ji, Yuting Zhang

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Imbalanced data classification based on scaling kernel-based support vector machine.

Yong Zhang, Panpan Fu, Wenzhe Liu, Guolong Chen

Neural Comput. Appl., 2014

A novel cluster validity index for fuzzy clustering based on bipartite modularity.

Dawei Zhang, Min Ji, Jun Yang, Yong Zhang, Fu-Ding Xie

Fuzzy Sets Syst., 2014

SVM classification for imbalanced data using conformal kernel transformation.

Yong Zhang, Panpan Fu, Wenzhe Liu, Li Zou

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Parallel Implementation of Chi2 Algorithm in MapReduce Framework.

Yong Zhang, Jingwen Yu, Jianying Wang

Proceedings of the Human Centered Computing - First International Conference, 2014

An approach of decision making with linguistic weight.

Li Zou, Yunxia Zhang, Zhiyan Chang, Yong Zhang

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

A mobile agent-based routing model for grid computing.

Yingwei Jin, Wenyu Qu, Yong Zhang, Yong Wang

J. Supercomput., 2013

A trust management model for service-oriented distributed networks.

Yanli Yu, Keqiu Li, Yingwei Jin, Yong Zhang

Concurr. Comput. Pract. Exp., 2013

The evolution game analysis of clustering for asymmetrical multi-factors in WSNs.

Yong Zhang, Dan Huang, Min Ji, Fu-Ding Xie

Comput. Electr. Eng., 2013

2012

Special issue on security in ubiquitous computing.

Wenyu Qu, Yang Xiang, Yong Zhang

Secur. Commun. Networks, 2012

2011

A GroupTrust model based on service similarity evaluation in P2P networks.

Yong Zhang, Hongliang Zheng, Yining Liu, Keqiu Li, Wenyu Qu

Int. J. Intell. Syst., 2011

A novel reputation computation model based on subjective logic for mobile ad hoc networks.

Yining Liu, Keqiu Li, Yingwei Jin, Yong Zhang, Wenyu Qu

Future Gener. Comput. Syst., 2011

2010

Support vector classifier based on fuzzy <i>c</i>-means and Mahalanobis distance.

Yong Zhang, Fu-Ding Xie, Dan Huang, Min Ji

J. Intell. Inf. Syst., 2010

Image Segmentation Based on FCM with Mahalanobis Distance.

Yong Zhang, Zhuoran Li, Jingying Cai, Jianying Wang

Proceedings of the Information Computing and Applications - First International Conference, 2010

2009

Fault classifier of rotating machinery based on weighted support vector data description.

Yong Zhang, Xiao-Dan Liu, Fu-Ding Xie, Keqiu Li

Expert Syst. Appl., 2009

Fuzzy multi-class classifier based on support vector data description and improved PCM.

Yong Zhang, Zhongxian Chi, Keqiu Li

Expert Syst. Appl., 2009

A Novel Reputation Computation Model Based on Subjective Logic for Mobile Ad Hoc Networks.

Yining Liu, Keqiu Li, Yong Zhang, Wenyu Qu

Proceedings of the Third International Conference on Network and System Security, 2009

2008

A Fuzzy support vector classifier based on Bayesian optimization.

Yong Zhang, Zhongxian Chi

Fuzzy Optim. Decis. Mak., 2008

A Service Trust Model with Passive Trust.

Yanli Yu, Keqiu Li, Yong Zhang, Lianpeng Xu

Proceedings of the IFIP International Conference on Network and Parallel Computing, 2008

A Trust Model Based on Similarity Evaluation in P2P Networks.

Yingwei Jin, Yong Zhang, Wenyu Qu, Yining Liu, Keqiu Li

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

A Mobile Agent-Based Statistic Execution Model for Grid Computing.

Wenyu Qu, Keqiu Li, Yong Zhang

Proceedings of the Advances in Grid and Pervasive Computing, 2008

2007

A novel fuzzy compensation multi-class support vector machine.

Yong Zhang, Zhongxian Chi, Xiao-Dan Liu, Xiang-Hai Wang

Appl. Intell., 2007

2006

A Novel Multi-class Support Vector Machine Based on Fuzzy Theories.

Yong Zhang, Zhongxian Chi, Yu Sun

Proceedings of the Intelligent Computing, 2006

2005

Decision Tree's Pruning Algorithm Based on Deficient Data Sets.

Yong Zhang, Zhongxian Chi, Dagong Wang

Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005