| 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 | 131 | 2023 |
| 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 | 69 | 2021 |
| 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 | 54 | 2023 |
| 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 | 48 | 2023 |
| 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 | 40 | 2024 |
| 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 | 35 | 2023 |
| 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 Mechanical Systems and Signal Processing 229, 112449, 2025 | 33 | 2025 |
| 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 | 30 | 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 | 29 | 2022 |
| 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 | 22 | 2021 |
| 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 | 17 | 2020 |
| 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 | 13 | 2024 |
| 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 | 13 | 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 | 12 | 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 | 7 | 2024 |
| Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation Y Hou, M Ragab, Y Wang, M Wu, A Alseiari, CK Kwoh, X Li, Z Chen IEEE Transactions on Instrumentation and Measurement, 2025 | 5 | 2025 |
| MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification S Goerttler, Y Wang, E Eldele, M Wu, F He arXiv preprint arXiv:2501.02949, 2025 | 5 | 2025 |
| Deep domain adaptation for turbofan engine remaining useful life prediction: Methodologies, evaluation and future trends Y Wang, M Ragab, Y Hou, Z Chen, M Wu, X Li arXiv preprint arXiv:2510.03604, 2025 | 3 | 2025 |
| MVRBind: multi-view learning for RNA-small molecule binding site prediction S Chen, Z Huang, Y Wang, Y Li, YS Tan, L Deng, M Wu Briefings in Bioinformatics 26 (5), bbaf489, 2025 | 2 | 2025 |
| MDE: Modality Discrimination Enhancement for Multi-modal Recommendation H Zhou, Y Wang, H Zhan arXiv preprint arXiv:2502.18481, 2025 | 2 | 2025 |