| A layer-wise data augmentation strategy for deep learning networks and its soft sensor application in an industrial hydrocracking process X Yuan, C Ou, Y Wang, C Yang, W Gui IEEE transactions on neural networks and learning systems 32 (8), 3296-3305, 2019 | 150 | 2019 |
| Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE X Yuan, C Ou, Y Wang, C Yang, W Gui Neurocomputing 396, 375-382, 2020 | 122 | 2020 |
| A novel semi-supervised pre-training strategy for deep networks and its application for quality variable prediction in industrial processes X Yuan, C Ou, Y Wang, C Yang, W Gui Chemical Engineering Science 217, 115509, 2020 | 96 | 2020 |
| Quality-driven regularization for deep learning networks and its application to industrial soft sensors C Ou, H Zhu, YAW Shardt, L Ye, X Yuan, Y Wang, C Yang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 95 | 2022 |
| Development of NVW-SAEs with nonlinear correlation metrics for quality-relevant feature learning in process data modeling X Yuan, C Ou, Y Wang Measurement Science and Technology 32 (1), 015006, 2020 | 15 | 2020 |
| Nonlinear VW-SAE based deep learning for quality-related feature learning and soft sensor modeling X Yuan, C Ou, Y Wang, C Yang IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018 | 11 | 2018 |
| Missing-data imputation with position-encoding denoising auto-encoders for industrial processes C Ou, H Zhu, YAW Shardt, L Ye, X Yuan, Y Wang, C Yang, W Gui IEEE Transactions on Instrumentation and Measurement, 2024 | 8 | 2024 |
