Decision Tree's Pruning Algorithm Based on Deficient Data Sets. - Yong Zhang 030; Zhongxian Chi; Dagong Wang (PDCAT, 2005)

A Novel Multi-class Support Vector Machine Based on Fuzzy Theories. - Yong Zhang 030; Zhongxian Chi; Yu Sun 001 (ICIC (1), 2006)

A novel fuzzy compensation multi-class support vector machine. - Yong Zhang 030; Zhongxian Chi; Xiao-Dan Liu; Xiang-Hai Wang 001 (Appl. Intell., 2007)

A Mobile Agent-Based Statistic Execution Model for Grid Computing. - Wenyu Qu; Keqiu Li; Yong Zhang 030 (GPC, 2008)

A Trust Model Based on Similarity Evaluation in P2P Networks. - Yingwei Jin; Yong Zhang 030; Wenyu Qu; Yining Liu 002; Keqiu Li (ISPA, 2008)

A Service Trust Model with Passive Trust. - Yanli Yu; Keqiu Li; Yong Zhang 030; Lianpeng Xu (NPC Workshops, 2008)

A Fuzzy support vector classifier based on Bayesian optimization. - Yong Zhang 030; Zhongxian Chi (Fuzzy Optim. Decis. Mak., 2008)

A Novel Reputation Computation Model Based on Subjective Logic for Mobile Ad Hoc Networks. - Yining Liu 002; Keqiu Li; Yong Zhang 030; Wenyu Qu (NSS, 2009)

Fuzzy multi-class classifier based on support vector data description and improved PCM. - Yong Zhang 030; Zhongxian Chi; Keqiu Li (Expert Syst. Appl., 2009)

Fault classifier of rotating machinery based on weighted support vector data description. - Yong Zhang 030; Xiao-Dan Liu; Fu-Ding Xie; Keqiu Li (Expert Syst. Appl., 2009)

Image Segmentation Based on FCM with Mahalanobis Distance. - Yong Zhang 030; Zhuoran Li; Jingying Cai; Jianying Wang (ICICA (LNCS), 2010)

Support vector classifier based on fuzzy c-means and Mahalanobis distance. - Yong Zhang 030; Fu-Ding Xie; Dan Huang 004; Min Ji (J. Intell. Inf. Syst., 2010)

A novel reputation computation model based on subjective logic for mobile ad hoc networks. - Yining Liu 002; Keqiu Li; Yingwei Jin; Yong Zhang 030; Wenyu Qu (Future Gener. Comput. Syst., 2011)

A GroupTrust model based on service similarity evaluation in P2P networks. - Yong Zhang 030; Hongliang Zheng; Yining Liu 002; Keqiu Li; Wenyu Qu (Int. J. Intell. Syst., 2011)

Special issue on security in ubiquitous computing. - Wenyu Qu; Yang Xiang 001; Yong Zhang 030 (Secur. Commun. Networks, 2012)

The evolution game analysis of clustering for asymmetrical multi-factors in WSNs. - Yong Zhang 030; Dan Huang 004; Min Ji; Fu-Ding Xie (Comput. Electr. Eng., 2013)

A trust management model for service-oriented distributed networks. - Yanli Yu; Keqiu Li; Yingwei Jin; Yong Zhang 030 (Concurr. Comput. Pract. Exp., 2013)

A mobile agent-based routing model for grid computing. - Yingwei Jin; Wenyu Qu; Yong Zhang 030; Yong Wang (J. Supercomput., 2013)

An approach of decision making with linguistic weight. - Li Zou; Yunxia Zhang; Zhiyan Chang; Yong Zhang 030 (FUZZ-IEEE, 2014)

Parallel Implementation of Chi2 Algorithm in MapReduce Framework. - Yong Zhang 030; Jingwen Yu; Jianying Wang (HCC, 2014)

SVM classification for imbalanced data using conformal kernel transformation. - Yong Zhang 030; Panpan Fu; Wenzhe Liu; Li Zou (IJCNN, 2014)

A novel cluster validity index for fuzzy clustering based on bipartite modularity. - Dawei Zhang; Min Ji; Jun Yang 012; Yong Zhang 030; Fu-Ding Xie (Fuzzy Sets Syst., 2014)

Imbalanced data classification based on scaling kernel-based support vector machine. - Yong Zhang 030; Panpan Fu; Wenzhe Liu; Guolong Chen (Neural Comput. Appl., 2014)

Classification of EEG signals based on AR model and approximate entropy. - Yong Zhang 030; Xiaomin Ji; Yuting Zhang (IJCNN, 2015)

Minimum-cost virtual machine migration strategy in datacenter. - Xinyan Zhang; Keqiu Li; Yong Zhang 030 (Concurr. Comput. Pract. Exp., 2015)

Comparison of classification methods on EEG signals based on wavelet packet decomposition. - Yong Zhang 030; Yuting Zhang; Jianying Wang; Xiaowei Zheng (Neural Comput. Appl., 2015)

EEG-based emotion recognition using empirical wavelet transform. - Dan Huang 004; Suhua Zhang; Yong Zhang 030 (ICSAI, 2017)

Dual weighted extreme learning machine for imbalanced data stream classification. - Yong Zhang 030; Wenzhe Liu; Xuezhen Ren; Yonggong Ren (J. Intell. Fuzzy Syst., 2017)

A selective ensemble learning approach based on evolutionary algorithm. - Yong Zhang 030; Bo Liu; Jiaxin Yu (J. Intell. Fuzzy Syst., 2017)

Combined feature extraction method for classification of EEG signals. - Yong Zhang 030; Xiaomin Ji; Bo Liu; Dan Huang 004; Fuding Xie; Yuting Zhang (Neural Comput. Appl., 2017)

Ensemble weighted extreme learning machine for imbalanced data classification based on differential evolution. - Yong Zhang 030; Bo Liu; Jing Cai; Suhua Zhang (Neural Comput. Appl., 2017)

Classification of EEG Signals Based on Autoregressive Model and Wavelet Packet Decomposition. - Yong Zhang 030; Bo Liu; Xiaomin Ji; Dan Huang 004 (Neural Process. Lett., 2017)

A novel composite-kernel based PCM clustering algorithm. - Yong Zhang 030; Rongrong Chen; Jing Cai; Dan Huang 004 (ICSAI, 2018)

Ensemble Classification for Skewed Data Streams Based on Neural Network. - Yong Zhang 030; Jiaxin Yu; Wenzhe Liu; Kaoru Ota (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018)

EEG-based classification of emotions using empirical mode decomposition and autoregressive model. - Yong Zhang 030; Suhua Zhang; Xiaomin Ji (Multim. Tools Appl., 2018)

A Distributed PCM Clustering Algorithm Based on Spark. - Yong Zhang 030; Haoke Liu; Tianzhen Chen; Di Tang (ICMLC, 2019)

Multi-Channel Physiological Signal Emotion Recognition Based on ReliefF Feature Selection. - Yong Zhang 030; Cheng Cheng; Tianzhen Chen (ICPADS, 2019)

Intrusion detection method based on information gain and ReliefF feature selection. - Yong Zhang 030; Xuezhen Ren; Jie Zhang (IJCNN, 2019)

Unsupervised band selection based on artificial bee colony algorithm for hyperspectral image classification. - Fuding Xie; Fangfei Li; Cunkuan Lei; Jun Yang 012; Yong Zhang 030 (Appl. Soft Comput., 2019)

Optimising data access latencies of virtual machine placement based on greedy algorithm in datacentre. - Xinyan Zhang; Keqiu Li; Yong Zhang 030 (Int. J. Comput. Sci. Eng., 2019)

A Network Intrusion Detection Model based on the Combination of ReliefF and Borderline-SMOTE. - Jie Zhang; Yong Zhang 030; Kexin Li (HPCCT/BDAI, 2020)

Ensemble emotion recognizing with multiple modal physiological signals. - Jing Zhang; Yong Zhang 030; Suhua Zhan; Cheng Cheng (CoRR, 2020)

Incremental Clustering With Hard Centers. - Jing Zhang; Tianzhen Chen; Yong Zhang 030 (IEEE Multim., 2020)

An Intrusion Detection System based on PSO-GWO Hybrid Optimized Support Vector Machine. - Kexin Li; Yong Zhang 030; Shuai Wang (IJCNN, 2021)

Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network. - Yong Zhang 030; Cheng Cheng; Yidie Zhang (IEEE Access, 2021)

Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization. - Lin Feng 001; Wenzhe Liu; Xiangzhu Meng; Yong Zhang 030 (Neurocomputing, 2021)

Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling. - Yong Zhang 030; Cheng Cheng; Shuai Wang; Tianqi Xia (Biomed. Signal Process. Control., 2022)

Adaptive multi-view multiple-means clustering via subspace reconstruction. - Wenzhe Liu; Luyao Liu 001; Yong Zhang 030; Huibing Wang; Lin Feng 001 (Eng. Appl. Artif. Intell., 2022)

Multimodal emotion recognition based on manifold learning and convolution neural network. - Yong Zhang 030; Cheng Cheng; YiDie Zhang (Multim. Tools Appl., 2022)

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism. - Lin Feng 001; Cheng Cheng; Mingyan Zhao; Huiyuan Deng; Yong Zhang 030 (IEEE J. Biomed. Health Informatics, 2022)

Tensorial Multi-Linear Multi-View Clustering via Schatten-p Norm. - Wenzhe Liu; Li Jiang; Da Liu; Yong Zhang 030 (IEEE Access, 2023)

Multimodal Emotion Recognition From EEG Signals and Facial Expressions. - Shuai Wang; Jingzi Qu; Yong Zhang 030; Yidie Zhang (IEEE Access, 2023)

Enhanced tensor multi-view clustering via dual constraints. - Wenzhe Liu; Luyao Liu 001; Yong Zhang 030; Lin Feng 001 (Eng. Appl. Artif. Intell., 2023)

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. - Cheng Cheng; Yong Zhang 030; Luyao Liu 001; Wenzhe Liu; Lin Feng 001 (IEEE J. Biomed. Health Informatics, 2023)

An attention-based hybrid deep learning model for EEG emotion recognition. - Yong Zhang 030; Yidie Zhang; Shuai Wang (Signal Image Video Process., 2023)

Multi-label learning based on instance correlation and feature redundancy. - Yong Zhang 030; Yuqing Jiang; Qi Zhang; Da Liu (Pattern Recognit. Lett., 2023)

Incomplete multi-view clustering via self-attention networks and feature reconstruction. - Yong Zhang 030; Li Jiang; Da Liu; Wenzhe Liu (Appl. Intell., 2024)

Joint group and pairwise localities embedding for feature extraction. - Wenjun Hu; Ke Zhang; Shitong Wang 001; Yong Zhang 030 (Inf. Sci., 2024)

Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition. - Cheng Cheng; Zikang Yu; Yong Zhang 030; Lin Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Multi-View Clustering via Graph-Oriented High-Order Correlations Learning. - Wenzhe Liu; Jiongcheng Zhu; Huibing Wang; Yong Zhang 030 (IEEE Trans. Netw. Sci. Eng., 2025)