| Semi-random subspace with Bi-GRU: Fusing statistical and deep representation features for bearing fault diagnosis XT Mao, F Zhang, G Wang, Y Chu, KF Yuan Measurement 173, 108603, 2021 | 31 | 2021 |
| DAMER: A novel diagnosis aggregation method with evidential reasoning rule for bearing fault diagnosis G Wang, F Zhang, B Cheng, F Fang Journal of Intelligent Manufacturing 32, 1-20, 2021 | 25 | 2021 |
| A sequence-to-sequence model with attention and monotonicity loss for tool wear monitoring and prediction G Wang, F Zhang IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 24 | 2021 |
| Feature fusion based ensemble method for remaining useful life prediction of machinery G Wang, H Li, F Zhang, Z Wu Applied Soft Computing 129, 109604, 2022 | 14 | 2022 |
| Leveraging Multisource Heterogeneous Data for Financial Risk Prediction: A Novel Hybrid-Strategy-Based Self-Adaptive Method. G Wang, G Chen, H Zhao, F Zhang, S Yang, T Lu MIS Quarterly 45 (4), 2021 | 11 | 2021 |
| Ensemble clustering-based fault diagnosis method incorporating traditional and deep representation features G Wang, J Huang, F Zhang Measurement Science and Technology 32 (9), 095110, 2021 | 11 | 2021 |
| Joint optimization of statistical and deep representation features for bearing fault diagnosis based on random subspace with coupled LASSO XQ Li, F Zhang, G Wang, F Fang Measurement Science and Technology 32 (2), 025115, 2020 | 11 | 2020 |
| An ensemble method with DenseNet and evidential reasoning rule for machinery fault diagnosis under imbalanced condition G Wang, Y Zhang, F Zhang, Z Wu Measurement 214, 112806, 2023 | 8 | 2023 |
| Multiview Feature Selection With Information Complementarity and Consensus for Fault Diagnosis G Wang, F Zhang, Z Li IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 1 | 2023 |
