Stable neural ode with lyapunov-stable equilibrium points for defending against adversarial attacks Q Kang, Y Song, Q Ding, WP Tay Advances in Neural Information Processing Systems 34, 14925-14937, 2021 | 110 | 2021 |
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 |
Task recommendation in crowdsourcing based on learning preferences and reliabilities Q Kang, WP Tay IEEE Transactions on Services Computing 15 (4), 1785-1798, 2020 | 31 | 2020 |
Graph neural convection-diffusion with heterophily K Zhao, Q Kang, Y Song, R She, S Wang, WP Tay Proceedings of the International Joint Conference on Artificial Intelligence, 2023 | 28 | 2023 |
Error-correcting output codes with ensemble diversity for robust learning in neural networks Y Song, Q Kang, WP Tay Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9722-9729, 2021 | 24 | 2021 |
RobustLoc: Robust camera pose regression in challenging driving environments S Wang, Q Kang, R She, WP Tay, A Hartmannsgruber, DN Navarro Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 6209-6216, 2023 | 19 | 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, 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 | 15 | 2023 |
Sequential multi-class labeling in crowdsourcing Q Kang, WP Tay IEEE Transactions on Knowledge and Data Engineering 31 (11), 2190-2199, 2018 | 14 | 2018 |
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 |
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 32, 3465-3480, 2023 | 10 | 2023 |
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 |
Sequential multi-class labeling in crowdsourcing: A ulam-renyi game approach Q Kang, WP Tay Proceedings of the International Conference on Web Intelligence, 245-251, 2017 | 9 | 2017 |
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 |
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 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 7 | 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 International Conference on Learning Representations, 2024 | 4 | 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 |
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 |
Error-Correcting Neural Network Y Song, Q Kang, WP Tay arXiv preprint arXiv:1912.00181, 2019 | 2 | 2019 |