Rolling bearing fault diagnosis with variable load and few samples based on multifeature fusion meta-learning. - Xuanhong Ye; Xinmin Zhang; Bocun He; Zheren Zhu; Wei Yu; Zhihuan Song (SAFEPROCESS, 2023)

A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process. - Yuhan Xie 001; Bocun He; Xinmin Zhang; Zhihuan Song (ICPS, 2023)

A Faster Dynamic Feature Extractor and Its Application to Industrial Quality Prediction. - Bocun He; Qingzhi Zhang; Xinmin Zhang (IEEE Trans. Ind. Informatics, 2023)

EnvFormer: A Decomposition-Based Transformer for Multistep Burn-Through Point Prediction in the Sintering Process. - Yuhan Xie 001; Bocun He; Xinmin Zhang; Zhihuan Song; Manabu Kano (IEEE Trans. Instrum. Meas., 2024)

Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes. - Xinmin Zhang; Bocun He; Hongyu Zhu; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder. - Bocun He; Xinmin Zhang; Zhihuan Song (IEEE Trans. Neural Networks Learn. Syst., 2024)