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KAI ZHAO
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Cited by
Cited by
Year
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
282022
Graph neural convection-diffusion with heterophily
K Zhao, Q Kang, Y Song, R She, S Wang, WP Tay
arXiv preprint arXiv:2305.16780, 2023
132023
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
102021
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
92023
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
82023
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
72024
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
72023
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
62023
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
52022
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
22023
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
12023
Unleashing the Potential of Fractional Calculus in Graph Neural Networks
K Zhao, Q Ding, F Ji, X Li, W Liang, Y Song, WP Tay
Adv. Neural Inform. Process. Syst. Workshop on Machine Learning and the …, 2023
12023
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
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
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
The Twelfth International Conference on Learning Representations, 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
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
2023
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