Unstructured big data analysis algorithm and simulation of Internet of Things based on machine learning. - Rui Hou 004; YanQiang Kong; Bing Cai; Huan Liu (Neural Comput. Appl., 2020)

Prediction Model of Gasoline Octane Number Based on GRNN. - Bing Cai; Hua Yang; Kang Zhou; Haikuan Yang (BIC-TA (2), 2021)

Stock Turnover Prediction Using Search Engine Data. - Zhijin Wang; Yaohui Huang; Bing Cai; Rui Ma; Zongyue Wang (J. Circuits Syst. Comput., 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)

Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction. - Zhijin Wang; Bing Cai; Wen Yang; Peisong Zhang; Yaohui Huang; Jinmo Tang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

COVID-19 cases prediction in multiple areas via shapelet learning. - Zhijin Wang; Bing Cai (Appl. Intell., 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)

Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication. - Xianxian Li; Bing Cai; Li-e Wang 001; Lei Lei (Frontiers Comput. Sci., 2022)

Tensor subspace clustering using consensus tensor low-rank representation. - Bing Cai; Gui-Fu Lu (Inf. Sci., 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 001 (IEEE Trans. Instrum. Meas., 2022)

Scalable incomplete multi-view clustering via tensor Schatten p-norm and tensorized bipartite graph. - Guangyan Ji; Gui-Fu Lu; Bing Cai (Eng. Appl. Artif. Intell., 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)

Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning. - Guangyan Ji; Gui-Fu Lu; Bing Cai; Yangfan Du (Expert Syst. Appl., 2023)

Multi-view clustering based on a multimetric matrix fusion method. - Liang Yao; Gui-Fu Lu; JinBiao Zhao 001; Bing Cai (Expert Syst. Appl., 2023)

Multi-view clustering using a flexible and optimal multi-graph fusion method. - Yaozu Kan; Gui-Fu Lu; Liang Yao; Bing Cai; JinBiao Zhao 001 (Eng. Appl. Artif. Intell., 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)

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)

Spatial kinetics and immune control of murine cytomegalovirus infection in the salivary glands. - Catherine M. Byrne; Ana Citlali Márquez; Bing Cai; Daniel Coombs; Soren Gantt (PLoS Comput. Biol., 2024)

Tensorized Scaled Simplex Representation for Multi-View Clustering. - Bing Cai; Gui-Fu Lu; Hua Li; Weihong Song (IEEE Trans. Multim., 2024)

Auto-weighted multi-view clustering with the use of an augmented view. - Bing Cai; Gui-Fu Lu; Jiashan Wan; Yangfan Du (Signal Process., 2024)

DAMixer: A dual-stage attention-based mixer model for multivariate time series forecasting. - Jiashan Wan; Na Xia; Bing Cai; Gongwen Li; Sizhou Wei; Xulei Pan (Expert Syst. Appl., 2025)

Multi-view subspace clustering with a consensus tensorized scaled simplex representation. - Hao He; Bing Cai; Xinyu Wang (Inf. Sci., 2025)

Tensor multi-subspace learning for robust tensor-based multi-view clustering. - Bing Cai; Gui-Fu Lu; Guangyan Ji; Yangfan Du (Knowl. Based Syst., 2025)

Tensorized latent representation with automatic dimensionality selection for multi-view clustering. - Bing Cai; Gui-Fu Lu; Xiaoxing Guo; Tong Wu (Pattern Recognit., 2025)