Unsupervised anomaly detection in multivariate time series through transformer-based variational autoencoder H Zhang, Y Xia, T Yan, G Liu 2021 33rd Chinese Control and Decision Conference (CCDC), 281-286, 2021 | 24 | 2021 |
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models T Yan, H Zhang, T Zhou, Y Zhan, Y Xia arXiv preprint arXiv:2106.10121, 2021 | 21 | 2021 |
Revisiting graph convolutional network on semi-supervised node classification from an optimization perspective H Zhang, T Yan, Z Xie, Y Xia, Y Zhang arXiv preprint arXiv:2009.11469, 2020 | 21 | 2020 |
Stochastic graph recurrent neural network T Yan, H Zhang, Z Li, Y Xia Neurocomputing 500, 1003-1015, 2022 | 6 | 2022 |
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models T Yan, T Zhou, Y Zhan, Y Xia arXiv preprint arXiv:2112.10774, 2021 | 5 | 2021 |
Information fusion of topological structure and node features in graph neural network H Zhang, C Wang, Y Xia, T Yan 2021 40th Chinese Control Conference (CCC), 8204-8209, 2021 | 1 | 2021 |
AdaL: adaptive gradient transformation contributes to convergences and generalizations H Zhang, W Zou, H Zhao, Q Ming, T Yan, Y Xia, W Cao arXiv preprint arXiv:2107.01525, 2021 | 1 | 2021 |
Self-Attention-Based Multivariate Anomaly Detection for CPS Time Series Data with Adversarial Autoencoders Q Li, T Yan, H Yuan, Y Xia 2022 41st Chinese Control Conference (CCC), 4251-4256, 2022 | | 2022 |