ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. - Zhao Zhang 001; Ming-Bo Zhao; Bing Li 007; Peng Tang (IJCNN, 2013)

Naming Game with Multiple Hearers. - Bing Li 007; Guanrong Chen; Tommy W. S. Chow (Commun. Nonlinear Sci. Numer. Simul., 2013)

A novel feature selection method and its application. - Bing Li 007; Tommy W. S. Chow; Di Huang 002 (J. Intell. Inf. Syst., 2013)

Novel performance enhancement techniques for delta sigma modulators for telecom, audio and sensor applications. - Bing Li 007 (2013)

Soft label based Linear Discriminant Analysis for image recognition and retrieval. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow; Bing Li 007 (Comput. Vis. Image Underst., 2014)

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. - Ming-Bo Zhao; Xiaohang Jin; Zhao Zhang 001; Bing Li 007 (Expert Syst. Appl., 2014)

Analyzing rough set based attribute reductions by extension rule. - Bing Li 007; Tommy W. S. Chow; Peng Tang (Neurocomputing, 2014)

A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow; Bing Li 007 (Neural Networks, 2014)

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. - Zhao Zhang 001; Ming-Bo Zhao; Bing Li 007; Peng Tang; Fanzhang Li (Neurocomputing, 2015)

Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension. - Ming-Bo Zhao; Bing Li 007; Zhou Wu 001; Choujun Zhan (Neurocomputing, 2015)

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. - Ming-Bo Zhao; Tommy W. S. Chow; Zhou Wu 001; Zhao Zhang 001; Bing Li 007 (Inf. Sci., 2015)

Automatic image annotation via compact graph based semi-supervised learning. - Ming-Bo Zhao; Tommy W. S. Chow; Zhao Zhang 001; Bing Li 007 (Knowl. Based Syst., 2015)

Semi-supervised classification for rolling fault diagnosis via robust sparse and low-rank model. - Mingbo Zhao; Bing Li 007; Jie Qi; Yongsheng Ding (INDIN, 2017)

Robust image recognition by L1-norm twin-projection support vector machine. - Zhenfeng Gu; Zhao Zhang 001; Jiabao Sun; Bing Li 007 (Neurocomputing, 2017)

Discriminative clustering on manifold for adaptive transductive classification. - Zhao Zhang 001; Lei Jia; Min Zhang 005; Bing Li 007; Li Zhang 004; Fanzhang Li (Neural Networks, 2017)

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. - Zhao Zhang 001; Weiming Jiang; Fanzhang Li; Mingbo Zhao; Bing Li 007; Li Zhang 004 (IEEE Trans. Ind. Informatics, 2017)

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. - Yan Zhang 053; Zhao Zhang 001; Jie Qin; Li Zhang 004; Bing Li 007; Fanzhang Li (Pattern Recognit., 2018)

A model for collective behaviour propagation: a case study of video game industry. - Choujun Zhan; Bing Li 007; Xiaoting Zhong; Hu Min; Zhengdong Wu (Neural Comput. Appl., 2020)

Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers. - Choujun Zhan; Yufan Zheng; Zhikang Lai; Tianyong Hao; Bing Li 007 (Neural Comput. Appl., 2021)

A decomposition-ensemble broad learning system for AQI forecasting. - Choujun Zhan; Wei Jiang 006; Fabing Lin; Shuntao Zhang; Bing Li 007 (Neural Comput. Appl., 2022)

Person re-identification via semi-supervised adaptive graph embedding. - Jiao Liu; Mingquan Lin; Mingbo Zhao; Choujun Zhan; Bing Li 007; John Kwok Tai Chui (Appl. Intell., 2023)

Distributed Diagnoses Based on Constructing a Private Chain via a Public Network. - Bing Li 007; Choujun Zhan (Entropy, 2023)