Bing Li

22 papers B 1C 1Journal 19
YearRankTypeTitle / Venue / Authors
2023 J jnl
Distributed Diagnoses Based on Constructing a Private Chain via a Public Network.
Entropy
Bing Li, Choujun Zhan
2023 J jnl
Person re-identification via semi-supervised adaptive graph embedding.
Appl. Intell.
Jiao Liu, Mingquan Lin, Mingbo Zhao, Choujun Zhan, Bing Li, John Kwok Tai Chui
2022 J jnl
A decomposition-ensemble broad learning system for AQI forecasting.
Neural Comput. Appl.
Choujun Zhan, Wei Jiang, Fabing Lin, Shuntao Zhang, Bing Li
2021 J jnl
Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers.
Neural Comput. Appl.
Choujun Zhan, Yufan Zheng, Zhikang Lai, Tianyong Hao, Bing Li
2020 J jnl
A model for collective behaviour propagation: a case study of video game industry.
Neural Comput. Appl.
Choujun Zhan, Bing Li, Xiaoting Zhong, Hu Min, Zhengdong Wu
2018 J jnl
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction.
Pattern Recognit.
Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li
2017 J jnl
Discriminative clustering on manifold for adaptive transductive classification.
Neural Networks
Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li
2017 J jnl
Robust image recognition by L1-norm twin-projection support vector machine.
Neurocomputing
Zhenfeng Gu, Zhao Zhang, Jiabao Sun, Bing Li
2017 C conf
Semi-supervised classification for rolling fault diagnosis via robust sparse and low-rank model.
INDIN
Mingbo Zhao, Bing Li, Jie Qi, Yongsheng Ding
2017 J jnl
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.
IEEE Trans. Ind. Informatics
Zhao Zhang, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li, Li Zhang
2015 J jnl
Automatic image annotation via compact graph based semi-supervised learning.
Knowl. Based Syst.
Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang, Bing Li
2015 J jnl
Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension.
Neurocomputing
Ming-Bo Zhao, Bing Li, Zhou Wu, Choujun Zhan
2015 J jnl
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction.
Inf. Sci.
Ming-Bo Zhao, Tommy W. S. Chow, Zhou Wu, Zhao Zhang, Bing Li
2015 J jnl
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.
Neurocomputing
Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang, Fanzhang Li
2014 J jnl
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction.
Neural Networks
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li
2014 J jnl
Analyzing rough set based attribute reductions by extension rule.
Neurocomputing
Bing Li, Tommy W. S. Chow, Peng Tang
2014 J jnl
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification.
Expert Syst. Appl.
Ming-Bo Zhao, Xiaohang Jin, Zhao Zhang, Bing Li
2014 J jnl
Soft label based Linear Discriminant Analysis for image recognition and retrieval.
Comput. Vis. Image Underst.
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li
2013 J jnl
A novel feature selection method and its application.
J. Intell. Inf. Syst.
Bing Li, Tommy W. S. Chow, Di Huang
2013 B conf
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition.
IJCNN
Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang
2013 J jnl
Naming Game with Multiple Hearers.
Commun. Nonlinear Sci. Numer. Simul.
Bing Li, Guanrong Chen, Tommy W. S. Chow
2013 — —
Novel performance enhancement techniques for delta sigma modulators for telecom, audio and sensor applications.
Bing Li