| A new graph-based semi-supervised method for surface defect classification Y Wang, L Gao, Y Gao, X Li Robotics and Computer-Integrated Manufacturing 68, 102083, 2021 | 48 | 2021 |
| A new Feature-Fusion method based on training dataset prototype for surface defect recognition Y Wang, X Li, Y Gao, L Wang, L Gao Advanced Engineering Informatics 50, 101392, 2021 | 19 | 2021 |
| A New Graph-Based Method for Class Imbalance in Surface Defect Recognition Y Wang, L Gao, X Li, Y Gao, X Xie IEEE Transactions on Instrumentation and Measurement 70, 1-16, 2021 | 17 | 2021 |
| A Graph Guided Convolutional Neural Network for Surface Defect Recognition Y Wang, L Gao, Y Gao, X Li IEEE Transactions on Automation Science and Engineering, 2022 | 11 | 2022 |
| Knowledge graph-guided convolutional neural network for surface defect recognition Y Wang, L Gao, Y Gao, X Li, L Gao 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 10 | 2020 |
| Multivariate Time Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network Y Wang, M Wu, X Li, L Xie, Z Chen IEEE Transactions on Artificial Intelligence, 2023 | 8 | 2023 |
| Local–Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction Y Wang, M Wu, R Jin, X Li, L Xie, Z Chen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
| Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data Y Wang, Y Xu, J Yang, M Wu, X Li, L Xie, Z Chen 38th Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 4 | 2023 |
| Sensor alignment for multivariate time-series unsupervised domain adaptation Y Wang, Y Xu, J Yang, Z Chen, M Wu, X Li, L Xie Proceedings of the AAAI Conference on Artificial Intelligence (Oral) 37 (8 …, 2023 | 4 | 2023 |
| Graph Contextual Contrasting for Multivariate Time Series Classification Y Wang, Y Xu, J Yang, M Wu, X Li, L Xie, Z Chen 38th Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 1* | 2023 |
| SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation Y Wang, Y Xu, J Yang, M Wu, X Li, L Xie, Z Chen arXiv preprint arXiv:2311.10806, 2023 | | 2023 |
Liang GAOProfessor of Industrial Engineering, Huazhong University of Science and TechnologyBestätigte E-Mail-Adresse bei mail.hust.edu.cn
