| Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding Z Li, Y Zhao, J Han, Y Su, R Jiao, X Wen, D Pei Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 169 | 2021 |
| A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications J Han, J Cen, L Wu, Z Li, X Kong, R Jiao, Z Yu, T Xu, F Wu, Z Wang, H Xu, ... arXiv preprint arXiv:2403.00485, 2024 | 70* | 2024 |
| Equivariant Graph Mechanics Networks with Constraints W Huang*, J Han*, Y Rong, T Xu, F Sun, J Huang International Conference on Learning Representations (ICLR 2022), 2022 | 59 | 2022 |
| Energy-motivated equivariant pretraining for 3d molecular graphs R Jiao, J Han, W Huang, Y Rong, Y Liu AAAI Conference on Artificial Intelligence (AAAI 2023), 2022 | 43* | 2022 |
| Learning Physical Dynamics with Subequivariant Graph Neural Networks J Han, W Huang, H Ma, J Li, JB Tenenbaum, C Gan Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 25 | 2022 |
| Smoothing matters: Momentum transformer for domain adaptive semantic segmentation R Chen, Y Rong, S Guo, J Han, F Sun, T Xu, W Huang arXiv preprint arXiv:2203.07988, 2022 | 19 | 2022 |
| Crystal structure prediction by joint equivariant diffusion R Jiao, W Huang, P Lin, J Han, P Chen, Y Lu, Y Liu Advances in Neural Information Processing Systems 36, 2024 | 18* | 2024 |
| Equivariant Graph Hierarchy-Based Neural Networks J Han, W Huang, T Xu, Y Rong Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 18 | 2022 |
| Equivariant graph neural operator for modeling 3d dynamics M Xu, J Han, A Lou, J Kossaifi, A Ramanathan, K Azizzadenesheli, ... arXiv preprint arXiv:2401.11037, 2024 | 5 | 2024 |
| Subequivariant Graph Reinforcement Learning in 3D Environments R Chen*, J Han*, F Sun, W Huang International Conference on Machine Learning (ICML 2023), 2023 | 3 | 2023 |
| Structure-Aware DropEdge Toward Deep Graph Convolutional Networks J Han, W Huang, Y Rong, T Xu, F Sun, J Huang IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning Y Zhang, J Cen, J Han, Z Zhang, J Zhou, W Huang Forty-first International Conference on Machine Learning, 0 | | |
Wenbing HuangAssociate Professor, Renmin University of ChinaVerified email at ruc.edu.cn
