| A hybrid generalization network for intelligent fault diagnosis of rotating machinery under unseen working conditions T Han, YF Li, M Qian IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 154 | 2021 |
| A weakly supervised learning-based oversampling framework for class-imbalanced fault diagnosis M Qian, YF Li IEEE Transactions on Reliability 71 (1), 429-442, 2022 | 23 | 2022 |
| Positive-unlabeled learning-based hybrid deep network for intelligent fault detection M Qian, YF Li, T Han IEEE Transactions on Industrial Informatics 18 (7), 4510-4519, 2021 | 11 | 2021 |
| A novel adaptive undersampling framework for class-imbalance fault detection M Qian, YF Li IEEE Transactions on Reliability 72 (3), 1003-1017, 2022 | 6 | 2022 |
| Energy saving scheduling of a single machine system based on bi-objective particle swarm optimization J Wang, M Qian, L Hu, S Li, Q Chang 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 4 | 2019 |
| Wind turbine blade early fault detection with faulty label unknown and labeling bias M Qian, H Wu, YF Li IEEE Transactions on Industrial Informatics 19 (7), 8116-8126, 2022 | 3 | 2022 |
| Weakly supervised-based oversampling for high imbalance and high dimensionality data classification M Qian, YF Li arXiv preprint arXiv:2009.14096, 2020 | 2 | 2020 |
| A Clustering-based Framework for Highly Imbalanced Fault Detection with the Applications on High-Speed Trains M Qian, YF Li 2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021 | | 2021 |
| Glucose Level Prediction Based on Data Driven Method M Qian, YF Li 2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-6, 2019 | | 2019 |
Yan-Fu LiProfessor, Tsinghua University, ChinaVerified email at tsinghua.edu.cn
