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 | 44 | 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, 3338-3361, 2023 | 36 | 2023 |
Graph neural convection-diffusion with heterophily K Zhao, Q Kang, Y Song, R She, S Wang, WP Tay arXiv preprint arXiv:2305.16780, 2023 | 30 | 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 | 19 | 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 | 16 | 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 | 16 | 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 62, 1-15, 2024 | 13 | 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 32, 5550-5563, 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 | 5 | 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 |
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 | 3 | 2023 |
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 | 2 | 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 Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13049 …, 2024 | 2 | 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 | 2 | 2023 |
Learning privacy-preserving graph embeddings against sensitive attributes inference CX Wang, Z Kai, WP Tay | 2 | 2023 |
Distributed-order fractional graph operating network K Zhao, X Li, Q Kang, F Ji, Q Ding, Y Zhao, W Liang, WP Tay Advances in Neural Information Processing Systems 37, 103442-103475, 2025 | 1 | 2025 |
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 |