Bing Cai

According to our database, Bing Cai authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Auto-weighted multi-view clustering with the use of an augmented view.

Bing Cai, Gui-Fu Lu, Jiashan Wan, Yangfan Du

Signal Process., February, 2024

Tensorized Scaled Simplex Representation for Multi-View Clustering.

Bing Cai, Gui-Fu Lu, Hua Li, Weihong Song

IEEE Trans. Multim., 2024

Complete multi-view subspace clustering via auto-weighted combination of visible and latent views.

Bing Cai, Gui-Fu Lu, Guangyan Ji, Weihong Song

Inf. Sci., 2024

Aligned multi-view clustering for unmapped data via weighted tensor nuclear norm and adaptive graph learning.

Bing Cai, Gui-Fu Lu, Liang Yao, Jiashan Wan

Neurocomputing, 2024

Multi-view clustering using a flexible and optimal multi-graph fusion method.

Yaozu Kan, Gui-Fu Lu, Liang Yao, Bing Cai, Jinbiao Zhao

Eng. Appl. Artif. Intell., 2024

2023

Multi-view clustering based on a multimetric matrix fusion method.

Liang Yao, Gui-Fu Lu, Jinbiao Zhao, Bing Cai

Expert Syst. Appl., October, 2023

Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning.

Guangyan Ji, Gui-Fu Lu, Bing Cai, Yangfan Du

Expert Syst. Appl., September, 2023

High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN.

Bing Cai, Gui-Fu Lu, Liang Yao, Hua Li

Pattern Recognit., 2023

Scalable incomplete multi-view clustering via tensor Schatten <i>p</i>-norm and tensorized bipartite graph.

Guangyan Ji, Gui-Fu Lu, Bing Cai

Eng. Appl. Artif. Intell., 2023

2022

A Modified Adaptive Cross Correlation Method for Flow Rate Measurement of High-Water-Cut Oil-Water Flow Using Planar Flowmeter.

Xiaokai Zhang, Jiangtao Sun, Jinhai Hu, Xiaolei Liu, Xingbin Liu, Ronghua Xie, Bing Cai, Liang Sun, Lijun Xu

IEEE Trans. Instrum. Meas., 2022

Tensor subspace clustering using consensus tensor low-rank representation.

Bing Cai, Gui-Fu Lu

Inf. Sci., 2022

Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication.

Xianxian Li, Bing Cai, Li-e Wang, Lei Lei

Frontiers Comput. Sci., 2022

A multi-view time series model for share turnover prediction.

Zhijin Wang, Qiankun Su, Guoqing Chao, Bing Cai, Yaohui Huang, Yonggang Fu

Appl. Intell., 2022

COVID-19 cases prediction in multiple areas via shapelet learning.

Zhijin Wang, Bing Cai

Appl. Intell., 2022

Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction.

Zhijin Wang, Bing Cai, Wen Yang, Peisong Zhang, Yaohui Huang, Jinmo Tang

Proceedings of the IEEE Smartworld, 2022

2021

Prediction of HFMD Cases by Leveraging Time Series Decomposition and Local Fusion.

Ziyang Wang, Zhijin Wang, Yingxian Lin, Jinming Liu, Yonggang Fu, Peisong Zhang, Bing Cai

Wirel. Commun. Mob. Comput., 2021

Stock Turnover Prediction Using Search Engine Data.

Zhijin Wang, Yaohui Huang, Bing Cai, Rui Ma, Zongyue Wang

J. Circuits Syst. Comput., 2021

Prediction Model of Gasoline Octane Number Based on GRNN.

Bing Cai, Hua Yang, Kang Zhou, Haikuan Yang

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021

2020

Unstructured big data analysis algorithm and simulation of Internet of Things based on machine learning.

Rui Hou, YanQiang Kong, Bing Cai, Huan Liu

Neural Comput. Appl., 2020