| Deep learning-based feature representation and its application for soft sensor modeling with variable-wise weighted SAE X Yuan, B Huang, Y Wang, C Yang, W Gui IEEE Transactions on Industrial Informatics 14 (7), 3235-3243, 2018 | 524 | 2018 |
| A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network Y Wang, Z Pan, X Yuan, C Yang, W Gui ISA transactions 96, 457-467, 2020 | 348 | 2020 |
| Deep learning with spatiotemporal attention-based LSTM for industrial soft sensor model development X Yuan, L Li, YAW Shardt, Y Wang, C Yang IEEE Transactions on Industrial Electronics 68 (5), 4404-4414, 2020 | 322 | 2020 |
| Automated visual defect detection for flat steel surface: A survey Q Luo, X Fang, L Liu, C Yang, Y Sun IEEE Transactions on Instrumentation and Measurement 69 (3), 626-644, 2020 | 322 | 2020 |
| Fault detection for non-Gaussian processes using generalized canonical correlation analysis and randomized algorithms Z Chen, SX Ding, T Peng, C Yang, W Gui IEEE Transactions on Industrial Electronics 65 (2), 1559-1567, 2017 | 289 | 2017 |
| A distributed dynamic event-triggered control approach to consensus of linear multiagent systems with directed networks W Hu, C Yang, T Huang, W Gui IEEE transactions on cybernetics 50 (2), 869-874, 2018 | 274 | 2018 |
| Set stability and set stabilization of Boolean control networks based on invariant subsets Y Guo, P Wang, W Gui, C Yang Automatica 61, 106-112, 2015 | 240 | 2015 |
| Hierarchical quality-relevant feature representation for soft sensor modeling: A novel deep learning strategy X Yuan, J Zhou, B Huang, Y Wang, C Yang, W Gui IEEE transactions on industrial informatics 16 (6), 3721-3730, 2019 | 214 | 2019 |
| Passivity-based asynchronous sliding mode control for delayed singular Markovian jump systems F Li, C Du, C Yang, W Gui IEEE Transactions on Automatic Control 63 (8), 2715-2721, 2017 | 213 | 2017 |
| Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network Y Liu, C Yang, K Huang, W Gui Knowledge-Based Systems 188, 105006, 2020 | 185 | 2020 |
| State transition algorithm X Zhou, C Yang, W Gui arXiv preprint arXiv:1205.6548, 2012 | 176 | 2012 |
| Stability and set stability in distribution of probabilistic Boolean networks Y Guo, R Zhou, Y Wu, W Gui, C Yang IEEE Transactions on Automatic Control 64 (2), 736-742, 2018 | 159 | 2018 |
| Weighted linear dynamic system for feature representation and soft sensor application in nonlinear dynamic industrial processes X Yuan, Y Wang, C Yang, Z Ge, Z Song, W Gui IEEE Transactions on Industrial Electronics 65 (2), 1508-1517, 2017 | 157 | 2017 |
| Graph convolutional network-based method for fault diagnosis using a hybrid of measurement and prior knowledge Z Chen, J Xu, T Peng, C Yang IEEE transactions on cybernetics 52 (9), 9157-9169, 2021 | 141 | 2021 |
| 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 | 132 | 2019 |
| A distributed canonical correlation analysis-based fault detection method for plant-wide process monitoring Z Chen, Y Cao, SX Ding, K Zhang, T Koenings, T Peng, C Yang, W Gui IEEE Transactions on Industrial Informatics 15 (5), 2710-2720, 2019 | 126 | 2019 |
| A fault-injection strategy for traction drive control systems C Yang, C Yang, T Peng, X Yang, W Gui IEEE Transactions on Industrial Electronics 64 (7), 5719-5727, 2017 | 124 | 2017 |
| Fault diagnosis of hydraulic systems based on deep learning model with multirate data samples K Huang, S Wu, F Li, C Yang, W Gui IEEE Transactions on neural networks and learning systems 33 (11), 6789-6801, 2021 | 117 | 2021 |
| Distributed consensus of second-order multiagent systems with nonconvex velocity and control input constraints P Lin, W Ren, C Yang, W Gui IEEE Transactions on Automatic Control 63 (4), 1171-1176, 2017 | 114 | 2017 |
| 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 | 109 | 2020 |
Xiaofeng YuanCentral South UniversityBestätigte E-Mail-Adresse bei csu.edu.cn
