| Enhanced random forest with concurrent analysis of static and dynamic nodes for industrial fault classification Z Chai, C Zhao IEEE Transactions on Industrial Informatics 16 (1), 54-66, 2019 | 139 | 2019 |
| A fine-grained adversarial network method for cross-domain industrial fault diagnosis Z Chai, C Zhao IEEE Transactions on Automation Science and Engineering 17 (3), 1432-1442, 2020 | 128 | 2020 |
| A deep probabilistic transfer learning framework for soft sensor modeling with missing data Z Chai, C Zhao, B Huang, H Chen IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7598-7609, 2021 | 77 | 2021 |
| Data-driven designs of fault detection systems via neural network-aided learning H Chen, Z Chai, O Dogru, B Jiang, B Huang IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5694-5705, 2021 | 75 | 2021 |
| Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework H Chen, Z Chai, B Jiang, B Huang IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 74 | 2020 |
| A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis H Chen, Z Chen, Z Chai, B Jiang, B Huang IEEE Transactions on Cybernetics, 2021 | 71 | 2021 |
| Multisource-refined transfer network for industrial fault diagnosis under domain and category inconsistencies Z Chai, C Zhao, B Huang IEEE Transactions on Cybernetics 52 (9), 9784-9796, 2021 | 64 | 2021 |
| Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity Z Chai, C Zhao IEEE Transactions on Neural Networks and Learning Systems 31 (12), 5192-5203, 2020 | 48 | 2020 |
| Variational progressive-transfer network for soft sensing of multirate industrial processes Z Chai, C Zhao, B Huang IEEE Transactions on Cybernetics 52 (12), 12882-12892, 2021 | 34 | 2021 |
| Fault-prototypical adapted network for cross-domain industrial intelligent diagnosis Z Chai, C Zhao IEEE Transactions on Automation Science and Engineering 19 (4), 3649-3658, 2021 | 24 | 2021 |
| User-Aware Multi-Interest Learning for Candidate Matching in Recommenders Z Chai, Z Chen, C Li, R Xiao, H Li, J Wu, J Chen, H Tang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 17 | 2022 |
| Deep transfer learning based multisource adaptation fault diagnosis network for industrial processes Z Chai, C Zhao IFAC-PapersOnLine 54 (3), 49-54, 2021 | 11 | 2021 |
| Deep Transfer Learning Methods for Typical Supervised Tasks in Industrial Monitoring: State-of-the-Arts，Challenges, and Perspectives Z Chai, J Wang, C Zhao, J Ding 中国科学: 信息科学（SCIENTIA SINICA Informationis）, 2023 | 3 | 2023 |
| A Sequentially-Adaptive Deep Variational Model for Multirate Process Anomaly Detection Z Chai, C Zhao, Y Sun 2021 3rd International Conference on Industrial Artificial Intelligence (IAI …, 2021 | 1 | 2021 |
| An Abrasion Detection Method for Elevator Traction Wire Rope based on Template Matching Z Li, Z Chai, C Zhao 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS …, 2020 | 1 | 2020 |
| Condition Monitoring and Tracing Reasoning: Machine Learning Methods C Zhao, W Yu, Z Chai, L Feng | | 2022 |
| Prototype-Transfer Neural Network based Industrial Process Fault Diagnosis Under Variant Working Conditions Z Chai, C Zhao, B Huang, Y Sun CPCC '20, 2020 | | 2020 |
