| Dynamic Anchor Learning for Arbitrary-Oriented Object Detection Q Ming, Z Zhou, L Miao, H Zhang, L Li AAAI Conference on Artificial Intelligence (AAAI 2021) 35 (3), 2355-2363, 2020 | 261 | 2020 |
| 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 |
| 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 |
| 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 | 20 | 2021 |
| Stochastic graph recurrent neural network T Yan, H Zhang, Z Li, Y Xia Neurocomputing 500, 1003-1015, 2022 | 6 | 2022 |
| On the generic low-rank matrix completion Y Zhang, Y Xia, H Zhang, G Wang, L Dai arXiv preprint arXiv:2102.11490, 2021 | 3 | 2021 |
| StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning S Zhang, W Yang, X Cao, H Zhang, Z Huang ICLR 2024, 2023 | 1 | 2023 |
| 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 |
| Understanding Community Bias Amplification in Graph Representation Learning S Zhang, W Yang, Y Zhang, H Zhang, D Yan, Z Huang arXiv preprint arXiv:2312.04883, 2023 | | 2023 |
Yuanqing Xia (夏元清）School of Automation, Beijing Institute of TechnologyVerified email at bit.edu.cn
