| On paradigm of industrial big data analytics: From evolution to revolution Z Yang, Z Ge IEEE Transactions on Industrial Informatics 18 (12), 8373-8388, 2022 | 54 | 2022 |
| Monitoring and prediction of big process data with deep latent variable models and parallel computing Z Yang, Z Ge Journal of Process Control 92, 19-34, 2020 | 31 | 2020 |
| Streaming parallel variational Bayesian supervised factor analysis for adaptive soft sensor modeling with big process data Z Yang, L Yao, Z Ge Journal of Process Control 85, 52-64, 2020 | 29 | 2020 |
| Dynamic process monitoring based on variational Bayesian canonical variate analysis J Yu, L Ye, L Zhou, Z Yang, F Shen, Z Song IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2412-2422, 2021 | 26 | 2021 |
| Rethinking the value of just-in-time learning in the era of industrial big data Z Yang, Z Ge IEEE Transactions on Industrial Informatics 18 (2), 976-985, 2021 | 20 | 2021 |
| Industrial virtual sensing for big process data based on parallelized nonlinear variational Bayesian factor regression Z Yang, Z Ge IEEE Transactions on Instrumentation and Measurement 69 (10), 8128-8136, 2020 | 19 | 2020 |
| Supervised attention-based bidirectional long short-term memory network for nonlinear dynamic soft sensor application Z Yang, R Jia, P Wang, L Yao, B Shen ACS omega 8 (4), 4196-4208, 2023 | 14 | 2023 |
| Mode information separated β-VAE regression for multimode industrial process soft sensing B Shen, L Yao, Z Yang, Z Ge IEEE Sensors Journal 23 (9), 10231-10240, 2023 | 11 | 2023 |
| Time sequential phase partition and modeling method for fault detection of batch processes X Ye, P Wang, Z Yang IEEE Access 6, 1249-1260, 2017 | 7 | 2017 |
| Lifelong Bayesian learning machines for streaming industrial big data Z Yang, J Zheng, Z Ge IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (3), 1554-1565, 2022 | 6 | 2022 |
| Probabilistic fusion model for industrial soft sensing based on quality-relevant feature clustering Z Yang, L Yao, B Shen, P Wang IEEE Transactions on Industrial Informatics 19 (8), 9037-9047, 2022 | 4 | 2022 |
| Input factor selection based on interpretable neural network for industrial virtual sensing application L Yao, Z Yang, Z Zhang, S Tang, B Shen, J Zeng IEEE Transactions on Instrumentation and Measurement, 2023 | 3 | 2023 |
| Time series data augmentation classifier for industrial process imbalanced fault diagnosis B Shen, L Yao, X Jiang, Z Yang, J Zeng 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS …, 2023 | 3 | 2023 |
| 基于核独立成分分析和支持向量数据描述的非线性系统故障检测方法 杨泽宇， 王培良 信息与控制 46 (2), 153-158, 2017 | 3 | 2017 |
| Gaussian Mixture Model and Double-Weighted Deep Neural Networks for Data Augmentation Soft Sensing X Jiang, L Yao, Z Yang, Z Song, B Shen 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS …, 2023 | 2 | 2023 |
| Batch process fault diagnosis based on the combination of deep belief network and long short-term memory network F Liu, P Wang, Z Cai, Z Zhou, Y Wang, Z Yang 2019 CAA symposium on fault detection, supervision and safety for technical …, 2019 | 2 | 2019 |
| 基于 Block-RPLS 模型自适应更新的质量预测方法 王培良， 叶晓丰， 杨泽宇 控制与决策 33 (3), 455-462, 2018 | 2 | 2018 |
| 基于混合 MPLS 的多阶段过程质量预报方法 叶晓丰， 王培良， 杨泽宇 山东大学学报 (工学版) 47 (5), 246-253, 2017 | 2 | 2017 |
| Multi-rate nonlinear process fault detection based on multi-scale hierarchical variational autoencoder B Shen, J Qian, Z Yang, L Yao IEEE Sensors Journal, 2024 | 1 | 2024 |
| A Novel Dynamic Baysian Canonical Correlation Analysis Method for Fault Detection J Yu, Z Yang, L Zhou, L Ye, Z Song IFAC-PapersOnLine 53 (2), 13707-13712, 2020 | 1 | 2020 |
Zhiqiang GeZhejiang University, Peng Cheng Laboratory, Southeast University在 zju.edu.cn 的电子邮件经过验证
