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ORCIDQiyu Kang
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2020 – today
- 2024
[j8]Qiyu Kang
, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuán-Ruì Yáng:
Multi-armed linear bandits with latent biases. Inf. Sci. 660: 120103 (2024)- [j7]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber:
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j6]Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay:
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion. IEEE Trans. Intell. Transp. Syst. 25(12): 20523-20534 (2024) - [c17]Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian:
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. AAAI 2024: 231-239 - [c16]Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay:
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. AAAI 2024: 10377-10385 - [c15]Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay:
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. AAAI 2024: 13049-13058 - [c14]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. ICLR 2024 - [c13]Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay:
Distributed-Order Fractional Graph Operating Network. NeurIPS 2024 - [i22]Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian:
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. CoRR abs/2401.03167 (2024) - [i21]Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay:
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. CoRR abs/2401.04331 (2024) - [i20]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber:
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. CoRR abs/2404.14034 (2024) - [i19]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. CoRR abs/2404.17099 (2024) - [i18]Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay:
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion. CoRR abs/2410.04939 (2024) - [i17]Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay:
Distributed-Order Fractional Graph Operating Network. CoRR abs/2411.05274 (2024) - 2023
- [j5]Yuán-Ruì Yáng, Qiyu Kang, Rui She:
The Effective Coverage of Homogeneous Teams with Radial Attenuation Models. Sensors 23(1): 350 (2023) - [j4]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber:
Image Patch-Matching With Graph-Based Learning in Street Scenes. IEEE Trans. Image Process. 32: 3465-3480 (2023) - [j3]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. 32: 5550-5563 (2023) - [c12]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro:
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. AAAI 2023: 6209-6216 - [c11]Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay:
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CVPR 2023: 5176-5185 - [c10]Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Robust Graph Neural Diffusion for Image Matching. ICIP 2023: 311-315 - [c9]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. ICML 2023: 15786-15808 - [c8]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. IJCAI 2023: 4656-4664 - [c7]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS 2023 - [i16]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay:
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR abs/2303.01030 (2023) - [i15]Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay:
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CoRR abs/2304.00932 (2023) - [i14]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. CoRR abs/2305.16780 (2023) - [i13]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. CoRR abs/2305.18965 (2023) - [i12]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR abs/2310.06396 (2023) - [i11]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR abs/2311.03904 (2023) - [i10]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber:
Image Patch-Matching with Graph-Based Learning in Street Scenes. CoRR abs/2311.04617 (2023) - [i9]Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay:
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. CoRR abs/2312.10616 (2023) - 2022
- [j2]Qiyu Kang, Wee Peng Tay:
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. IEEE Trans. Serv. Comput. 15(4): 1785-1798 (2022) - [c6]Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks. ITSC 2022: 3032-3037 - [c5]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. NeurIPS 2022 - [i8]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Building Facade Parsing R-CNN. CoRR abs/2205.05912 (2022) - [i7]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. CoRR abs/2209.07754 (2022) - [i6]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro:
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. CoRR abs/2211.11238 (2022) - 2021
- [c4]Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. AAAI 2021: 9722-9729 - [c3]Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay:
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. NeurIPS 2021: 14925-14937 - [i5]Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay:
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. CoRR abs/2110.12976 (2021)
2010 – 2019
- 2019
- [j1]Qiyu Kang, Wee Peng Tay:
Sequential Multi-Class Labeling in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 31(11): 2190-2199 (2019) - [c2]Qiyu Kang, Wee Peng Tay:
Orthogonal Projection in Linear Bandits. GlobalSIP 2019: 1-5 - [i4]Qiyu Kang, Wee Peng Tay:
Orthogonal Projection in Linear Bandits. CoRR abs/1906.10981 (2019) - [i3]Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Neural Network. CoRR abs/1912.00181 (2019) - 2018
- [i2]Qiyu Kang, Wee Peng Tay:
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. CoRR abs/1807.10444 (2018) - 2017
- [c1]Qiyu Kang, Wee Peng Tay:
Sequential multi-class labeling in crowdsourcing: a ulam-renyi game approach. WI 2017: 245-251 - [i1]Qiyu Kang, Wee Peng Tay:
Sequential Multi-Class Labeling in Crowdsourcing. CoRR abs/1711.02128 (2017)
Coauthor Index
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