Modeling Large-Scale Industrial Processes by Multiple Deep Belief Networks With Lower-Pressure and Higher-Precision for Status Monitoring. - Jianbo Yu 002; Xuefeng Yan 003 (IEEE Access, 2020)

Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network. - Jianbo Yu 002; Xuefeng Yan 003 (IEEE Trans. Cybern., 2020)

Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations. - Jianbo Yu 002; Zhaomin Lv; Hang Ruan; Shijie Hu; Qingchao Jiang; Xuefeng Yan 003; Yuping Liu; Xiaofeng Yang (Adv. Eng. Informatics, 2024)

Physically-guided temporal diffusion transformer for long-term time series forecasting. - Zeqi Ren; Jianbo Yu 002; Jian Huang 013; Xiaofeng Yang; Siyang Leng; Yuping Liu; Shifu Yan (Knowl. Based Syst., 2024)

A Mobile Switched Attention Network for Defects Classification on Co-Fired Piezoelectric Actuators. - Zhuolu Li; Jianbo Yu 002; Zhenhua Wang; Xiaofeng Yang; Zhi Li 039 (IEEE Trans. Instrum. Meas., 2024)

Semisupervised Classification With Sequence Gaussian Mixture Variational Autoencoder. - Shuangqing Wang; Jianbo Yu 002; Zhi Li 039; Tianyou Chai (IEEE Trans. Ind. Electron., 2024)

Adaptive temporal diffusion-based reconstruction model for industrial dynamic uncertain process monitoring. - Jiawei Yin; Jianbo Yu 002; Qingchao Jiang; Xuefeng Yan 003 (Appl. Soft Comput., 2025)

Variational Regression With Uncertainty-Variance Consistency for Semi-Supervised Sequence Soft-Sensing in Chemical Fiber Industry. - Shuangqing Wang; Jianbo Yu 002; Hui Shen; Ying Zhang 055; Zhi Li 039 (IEEE Trans. Instrum. Meas., 2025)

Disentangled Feature Representation Based on Multiscale Content Learning in Industrial Heterogeneous Nonstationary Fault Detection. - Jianbo Yu 002; Jian Huang 013; Xuewei Fu; Yu Jin; Xuefeng Yan 003; Xiaofeng Yang (IEEE Trans. Instrum. Meas., 2025)