| Apan: Asynchronous propagation attention network for real-time temporal graph embedding X Wang, D Lyu, M Li, Y Xia, Q Yang, X Wang, X Wang, P Cui, Y Yang, ... Proceedings of the 2021 international conference on management of data, 2628 …, 2021 | 131 | 2021 |
| adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection X Wang, Y Du, S Lin, P Cui, Y Shen, Y Yang Knowledge-Based Systems 190, 105187, 2020 | 128* | 2020 |
| One-class graph neural networks for anomaly detection in attributed networks X Wang, B Jin, Y Du, P Cui, Y Tan, Y Yang Neural computing and applications 33, 12073-12085, 2021 | 116 | 2021 |
| Improved nonlinear process monitoring based on ensemble KPCA with local structure analysis P Cui, C Zhan, Y Yang Chemical Engineering Research and Design 142, 355-368, 2019 | 33 | 2019 |
| Variational autoencoder based fault detection and location method for power distribution network X Wang, P Cui, Y Du, Y Yang 2020 8th International Conference on Condition Monitoring and Diagnosis (CMD …, 2020 | 11 | 2020 |
| Nonparametric manifold learning approach for improved process monitoring P Cui, X Wang, Y Yang The Canadian Journal of Chemical Engineering 100 (1), 67-89, 2022 | 8 | 2022 |
| One-class temporal graph attention neural network for dynamic graph anomaly detection B Huang, X Wang, P Cui, W Jiang, Y Yang, Q Fan 2021 2nd International Conference on Electronics, Communications and …, 2021 | 4 | 2021 |
| Statistics manifold learning approach and its application to non-Gaussian process monitoring P Cui, X Wang, Y Yang 2020 39th Chinese Control Conference (CCC), 4054-4059, 2020 | 2 | 2020 |
| Adaptive Sampling Temporal Graph Network W Jiang, X Wang, P Cui, B Huang, Y Yang, Q Fan 2022 4th International Conference on Advances in Computer Technology …, 2022 | | 2022 |
