| 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 | 37 | 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 | 30 | 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 | 28 | 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 | 21 | 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 | 16 | 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 | 8 | 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 |
| Mode information separated β-VAE regression for multimode industrial process soft sensing B Shen, L Yao, Z Yang, Z Ge IEEE Sensors Journal, 2023 | 5 | 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 |
| 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 | 2 | 2023 |
| 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 |
| 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 | 1 | 2023 |
| 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 |
| 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 | 1 | 2019 |
| A novel streaming variational bayesian supervised factor analysis for industrial adaptive soft sensor modeling Z Yang, L Yao, Z Ge 2019 12th Asian Control Conference (ASCC), 850-855, 2019 | 1 | 2019 |
| Nonlinear Variational Bayesian Factor Regression for Inferential Sensor Modeling Z Yang, Z Ge, W Shao, L Yao 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS …, 2019 | 1 | 2019 |
| 独立成分相关分析的自适应故障监测方法 王培良， 叶晓丰， 杨泽宇 控制理论与应用 35 (9), 1331-1338, 2018 | 1 | 2018 |
| Fault detection method based on margin statistics of generalized non-negative matrix factorization Z Yang, P Wang, X Ye, S Wang 2017 Chinese Automation Congress (CAC), 4723-4728, 2017 | 1 | 2017 |
Zhiqiang GeProfessor of Automation, Zhejiang UniversityVerified email at zju.edu.cn
