| 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 | 58 | 2021 |
| 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 | 39 | 2023 |
| 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 | 26 | 2021 |
| 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 | 23 | 2023 |
| 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 | 23 | 2021 |
| Graph-Aware Contrasting for Multivariate Time-Series Classification Y Wang, Y Xu, J Yang, M Wu, X Li, L Xie, Z Chen Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15725 …, 2024 | 20* | 2024 |
| 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 | 19 | 2022 |
| 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 | 17 | 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 | 14 | 2023 |
| 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 | 14 | 2020 |
| K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data Y Wang, R Jin, M Wu, X Li, L Xie, Z Chen arXiv preprint arXiv:2403.03645, 2024 | 6 | 2024 |
| 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 IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 3 | 2024 |
| Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation Y Wang, P Gong, M Wu, F Ott, X Li, L Xie, Z Chen arXiv preprint arXiv:2409.19635, 2024 | 1 | 2024 |
| DeepRSMA: a cross-fusion-based deep learning method for RNA–small molecule binding affinity prediction Z Huang, Y Wang, S Chen, YS Tan, L Deng, M Wu Bioinformatics 40 (12), btae678, 2024 | | 2024 |
| A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends Y Wang, M Wu, X Li, L Xie, Z Chen arXiv preprint arXiv:2409.19629, 2024 | | 2024 |
ZHENGHUA CHENLab Head & PI at Institute for Infocomm Research (I2R), A*STAR, SingaporeVerified email at ntu.edu.sg
