Qiyu Kang

According to our database, Qiyu Kang authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-armed linear bandits with latent biases.

Qiyu Kang, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuán-Ruì Yáng

Inf. Sci., March, 2024

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer.

Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber

IEEE Trans. Geosci. Remote. Sens., 2024

PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion.

Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay

CoRR, 2024

Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND.

Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition.

Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations.

Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study.

Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments.

Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay

IEEE Trans. Image Process., 2023

Image Patch-Matching With Graph-Based Learning in Street Scenes.

Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber

IEEE Trans. Image Process., 2023

The Effective Coverage of Homogeneous Teams with Radial Attenuation Models.

Yuán-Ruì Yáng, Qiyu Kang, Rui She

Sensors, 2023

Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks.

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay

CoRR, 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.

Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Convection-Diffusion with Heterophily.

Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks.

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay

Proceedings of the International Conference on Machine Learning, 2023

Robust Graph Neural Diffusion for Image Matching.

Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

Proceedings of the IEEE International Conference on Image Processing, 2023

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion.

Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments.

Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities.

Qiyu Kang, Wee Peng Tay

IEEE Trans. Serv. Comput., 2022

Building Facade Parsing R-CNN.

Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

CoRR, 2022

On the Robustness of Graph Neural Diffusion to Topology Perturbations.

Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks.

Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks.

Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks.

Yang Song, Qiyu Kang, Wee Peng Tay

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Sequential Multi-Class Labeling in Crowdsourcing.

Qiyu Kang, Wee Peng Tay

IEEE Trans. Knowl. Data Eng., 2019

Error-Correcting Neural Network.

Yang Song, Qiyu Kang, Wee Peng Tay

CoRR, 2019

Orthogonal Projection in Linear Bandits.

Qiyu Kang, Wee Peng Tay

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2017

Sequential multi-class labeling in crowdsourcing: a ulam-renyi game approach.

Qiyu Kang, Wee Peng Tay

Proceedings of the International Conference on Web Intelligence, 2017