An intelligent learning model for stochastic data. - Bi Fan; Geng Zhang; Han-Xiong Li (SMC, 2012)

Probabilistic support vector machines for classification of noise affected data. - Han-Xiong Li; Jinglin Yang; Geng Zhang; Bi Fan (Inf. Sci., 2013)

A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process With Multiple Localized Solutions. - Xinjiang Lu; Bi Fan; Minghui Huang (IEEE Trans. Ind. Informatics, 2015)

Probabilistic Inference-Based Least Squares Support Vector Machine for Modeling Under Noisy Environment. - Bi Fan; Xinjiang Lu; Han-Xiong Li (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Dual Extreme Learning Machine Based Online Spatiotemporal Modeling With Adaptive Forgetting Factor. - Kangkang Xu; Xi Tan 006; Bi Fan; Tengfei Xiao; Xi Jin; Chengjiu Zhu (IEEE Access, 2021)

Centralized drug procurement operation scheduling with a capacitated joint replenishment and delivery strategy: Evidence from China. - Rui Liu 022; Zhihao Zhou; Quande Qin; Bi Fan (Comput. Ind. Eng., 2022)

Multiscale Low-Light Image Enhancement Network With Illumination Constraint. - Guodong Fan; Bi Fan; Min Gan; Guang-Yong Chen; C. L. Philip Chen (IEEE Trans. Circuits Syst. Video Technol., 2022)

Locally Weighted Principal Component Analysis-Based Multimode Modeling for Complex Distributed Parameter Systems. - Kangkang Xu; Bi Fan; Haidong Yang; Luoke Hu; Wenjing Shen (IEEE Trans. Cybern., 2022)

Deep Extreme Learning Machines Based Two-Phase Spatiotemporal Modeling for Distributed Parameter Systems. - Kangkang Xu; Haidong Yang; Chengjiu Zhu; Xi Jin; Bi Fan; Luoke Hu (IEEE Trans. Ind. Informatics, 2023)

Two-stage electricity production scheduling with energy storage and dynamic emission modelling. - Bi Fan; Fengjie Liao; Chao Yang 010; Quande Qin (Int. J. Prod. Res., 2024)

Sentiment and attention of the Chinese public toward electric vehicles: A big data analytics approach. - Quande Qin; Zhihao Zhou; Jieying Zhou; Zhaorong Huang; Xihuan Zeng; Bi Fan (Eng. Appl. Artif. Intell., 2024)

Multiscale Cross-Connected Dehazing Network With Scene Depth Fusion. - Guodong Fan; Min Gan; Bi Fan; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)