| On the Robustness of Graph Neural Diffusion to Topology Perturbations Y Song, Q Kang, S Wang, Z Kai, WP Tay Advances in Neural Information Processing Systems (NeurIPS), 2022 | 28 | 2022 |
| Graph Neural Convection-Diffusion with Heterophily K Zhao, Q Kang, Y Song, R She, S Wang, WP Tay International Joint Conference on Artificial Intelligence (IJCAI), 2023 | 13 | 2023 |
| RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments S Wang, Q Kang, R She, WP Tay, A Hartmannsgruber, DN Navarro AAAI Conference on Artificial Intelligence (AAAI), 2023 | 12 | 2023 |
| Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Q Kang, K Zhao, Y Song, S Wang, WP Tay International Conference on Machine Learning (ICML), 2023 | 9 | 2023 |
| HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion S Wang, Q Kang, R She, W Wang, K Zhao, Y Song, WP Tay IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2023 | 8 | 2023 |
| Adversarial robustness in graph neural networks: A Hamiltonian approach K Zhao, Q Kang, Y Song, R She, S Wang, WP Tay Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Robustmat: Neural diffusion for street landmark patch matching under challenging environments R She, Q Kang, S Wang, YR Yáng, K Zhao, Y Song, WP Tay IEEE Transactions on Image Processing, 2023 | 6 | 2023 |
| Image patch-matching with graph-based learning in street scenes R She, Q Kang, S Wang, WP Tay, YL Guan, DN Navarro, ... IEEE Transactions on Image Processing, 2023 | 5 | 2023 |
| Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks Q Kang, R She, S Wang, WP Tay, DN Navarro, A Hartmannsgruber IEEE International Conference on Intelligent Transportation Systems (ITSC …, 2022 | 4 | 2022 |
| Building Facade Parsing R-CNN S Wang, Q Kang, R She, WP Tay, DN Navarro, A Hartmannsgruber arXiv preprint arXiv:2205.05912, 2022 | 2 | 2022 |
| Advancing Graph Neural Networks Through Joint Time-Space Dynamics Q Kang, Y Zhao, K Zhao, X Li, Q Ding, WP Tay, S Wang The Symbiosis of Deep Learning and Differential Equations III, 2023 | 1 | 2023 |
| DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition S Wang, R She, Q Kang, X Jian, K Zhao, Y Song, WP Tay Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10377 …, 2024 | | 2024 |
| Multi-armed linear bandits with latent biases Q Kang, WP Tay, R She, S Wang, X Liu, YR Yang Information Sciences 660, 120103, 2024 | | 2024 |
| Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study Q Kang, K Zhao, Y Song, Y Xie, Y Zhao, S Wang, R She, WP Tay arXiv preprint arXiv:2401.04331, 2024 | | 2024 |
| PointDifformer: Robust Point Cloud Registration with Neural Diffusion and Transformer R She, Q Kang, S Wang, WP Tay, K Zhao, Y Song, T Geng, Y Xu, ... IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations R She, S Wang, Q Kang, K Zhao, Y Song, WP Tay, T Geng, X Jian arXiv preprint arXiv:2401.03167, 2024 | | 2024 |
| Coupling Graph Neural Networks with Non-Integer Order Dynamics: A Robustness Study Q Kang, K Zhao, Y Song, Y Xie, Y Zhao, S Wang, R She, WP Tay NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | | 2023 |
| Robust Graph Neural Diffusion for Image Matching R She, Q Kang, S Wang, K Zhao, Y Song, Y Xu, T Geng, WP Tay, ... 2023 IEEE International Conference on Image Processing (ICIP), 311-315, 2023 | | 2023 |
| Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Q Kang, K Zhao, Y Song, S Wang, R She, WP Tay arXiv preprint arXiv:2303.01030, 2023 | | 2023 |
Wee Peng TayNanyang Technological UniversityVerified email at ntu.edu.sg
