| On the robustness of graph neural diffusion to topology perturbations Y Song, Q Kang, S Wang, K Zhao, WP Tay Advances in Neural Information Processing Systems 35, 6384-6396, 2022 | 42 | 2022 |
| 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 | 32 | 2024 |
| Graph neural convection-diffusion with heterophily K Zhao, Q Kang, Y Song, R She, S Wang, WP Tay arXiv preprint arXiv:2305.16780, 2023 | 28 | 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, 15786-15808, 2023 | 16 | 2023 |
| Leveraging label non-uniformity for node classification in graph neural networks F Ji, SH Lee, H Meng, K Zhao, J Yang, WP Tay International Conference on Machine Learning, 14869-14885, 2023 | 15 | 2023 |
| HypLiLoc: Towards effective LiDAR pose regression with hyperbolic fusion S Wang, Q Kang, R She, W Wang, K Zhao, Y Song, WP Tay Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| 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 | 12 | 2024 |
| 5G positioning using code-phase timing recovery C Jin, I Bajaj, K Zhao, WP Tay, KV Ling 2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-7, 2021 | 12 | 2021 |
| 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 | 9 | 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 | 7 | 2024 |
| A 5G/GNSS integrated positioning method C Jin, WP Tay, K Zhao, KV Ling, KK Sin Proceedings of the 35th International Technical Meeting of the Satellite …, 2022 | 6 | 2022 |
| Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Q Kang, K Zhao, Q Ding, F Ji, X Li, W Liang, Y Song, WP Tay arXiv preprint arXiv:2404.17099, 2024 | 4 | 2024 |
| Distributional signals for node classification in graph neural networks F Ji, SH Lee, K Zhao, WP Tay, J Yang arXiv preprint arXiv:2304.03507, 2023 | 4 | 2023 |
| 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 Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13049 …, 2024 | 2 | 2024 |
| Predicting disease genes based on multi-head attention fusion L Zhang, D Lu, X Bi, K Zhao, G Yu, N Quan BMC bioinformatics 24 (1), 162, 2023 | 2 | 2023 |
| Learning Privacy-Preserving Graph Embeddings Against Sensitive Attributes Inference CX Wang, Z Kai, WP Tay | 2 | |
| Distributed-Order Fractional Graph Operating Network K Zhao, X Li, Q Kang, F Ji, Q Ding, Y Zhao, W Liang, WP Tay arXiv preprint arXiv:2411.05274, 2024 | 1 | 2024 |
| Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals D Li, K Zhao, J Lu, Y Zhang, X An, WP Tay, SG Razul 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-6, 2024 | 1 | 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 Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 231-239, 2024 | 1 | 2024 |
| A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements C Jin, WP Tay, K Zhao, KV Ling, J Lu, Y Wang 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), 1176-1183, 2023 | 1 | 2023 |
Wee Peng TayNanyang Technological UniversityVerificeret mail på ntu.edu.sg
