Automatic crack distress classification from concrete surface images using a novel deep-width network architecture. - Li Guo 011; Runze Li 004; Bin Jiang 001; Xing Shen (Neurocomputing, 2020)

An accurate and efficient machine fault diagnosis approach using a recurring broad learning model. - Li Guo 011; Runze Li 004; Bin Jiang 001 (J. Syst. Control. Eng., 2021)

A Data-Driven Long Time-Series Electrical Line Trip Fault Prediction Method Using an Improved Stacked-Informer Network. - Li Guo 011; Runze Li 004; Bin Jiang 001 (Sensors, 2021)

A Cascade Broad Neural Network for Concrete Structural Crack Damage Automated Classification. - Li Guo 011; Runze Li 004; Bin Jiang 001 (IEEE Trans. Ind. Informatics, 2021)

An Ensemble Broad Learning Scheme for Semisupervised Vehicle Type Classification. - Li Guo 011; Runze Li 004; Bin Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Fault Detection and Diagnosis Using Statistic Feature and Improved Broad Learning for Traction Systems in High-Speed Trains. - Li Guo 011; Runze Li 004; Bin Jiang 001 (IEEE Trans. Artif. Intell., 2023)

Prognostics of lithium-ion batteries health state based on adaptive mode decomposition and long short-term memory neural network. - Li Guo 011; Hongwei He; Yiran Ren; Runze Li 004; Bin Jiang 001; Jianye Gong (Eng. Appl. Artif. Intell., 2024)

Prior Knowledge-Augmented Broad Reinforcement Learning Framework for Fault Diagnosis of Heterogeneous Multiagent Systems. - Li Guo 011; Yiran Ren; Runze Li 004; Bin Jiang 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Distributed Fault Diagnosis for Heterogeneous Multiagent Systems: A Hybrid Knowledge-Based and Data-Driven Method. - Runze Li 004; Bin Jiang 001; Yan Zong; Ningyun Lu; Li Guo 011 (IEEE Trans. Fuzzy Syst., 2024)