| Generative subgraph contrast for self-supervised graph representation learning Y Han, L Hui, H Jiang, J Qian, J Xie European Conference on Computer Vision, 91-107, 2022 | 14 | 2022 |
| Graph Spectral Perturbation for 3D Point Cloud Contrastive Learning Y Han, J Chen, J Qian, J Xie Proceedings of the 31st ACM International Conference on Multimedia, 5389-5398, 2023 | 3 | 2023 |
| Scene Graph Masked Variational Autoencoders for 3D Scene Generation R Xu, L Hui, Y Han, J Qian, J Xie Proceedings of the 31st ACM International Conference on Multimedia, 5725-5733, 2023 | 2 | 2023 |
| Transformer-based Point Cloud Generation Network R Xu, L Hui, Y Han, J Qian, J Xie Proceedings of the 31st ACM International Conference on Multimedia, 4169-4177, 2023 | 2 | 2023 |
| Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning Y Han ACM Transactions on Knowledge Discovery from Data 18 (5), 1-17, 2024 | 1 | 2024 |
| Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning Y Han, C Xu, R Xu, J Qian, J Xie European Conference on Computer Vision, 414-431, 2025 | | 2025 |
| Learning Local Semantic Region Activations for Weakly Supervised Object Localization C Xu, L Hui, Y Han, H Jiang, J Chen, J Xie, J Yang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
| Multi-Attribute Interactions Matter for 3D Visual Grounding C Xu, Y Han, R Xu, L Hui, J Xie, J Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Ragnet3d: Learning Distinguishable Representation for Pooled Grids in 3d Object Detection J Chen, Y Han, Z Yan, J Qian, J Li, J Yang Available at SSRN 4979473, 0 | | |
