| 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 | 79 | 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 | 28 | 2022 |
| 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 | 20 | 2021 |
| Task recommendation in crowdsourcing based on learning preferences and reliabilities Q Kang, WP Tay IEEE Transactions on Services Computing 15 (4), 1785-1798, 2020 | 20 | 2020 |
| Sequential multi-class labeling in crowdsourcing Q Kang, WP Tay IEEE Transactions on Knowledge and Data Engineering 31 (11), 2190-2199, 2018 | 14 | 2018 |
| 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 | 13 | 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 | 13 | 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 | 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 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 | 8 | 2017 |
| 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 2022 IEEE 25th International Conference on Intelligent Transportation …, 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 |
| Error-Correcting Neural Network Y Song, Q Kang, WP Tay arXiv preprint arXiv:1912.00181, 2019 | 2 | 2019 |
| 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 | 1 | 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 | 1 | 2024 |
| 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 |
| Unleashing the Potential of Fractional Calculus in Graph Neural Networks Q Kang, 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 | 1 | 2023 |
Wee Peng TayNanyang Technological UniversityDirección de correo verificada de ntu.edu.sg
