Sequential multi-class labeling in crowdsourcing: a ulam-renyi game approach. - Qiyu Kang; Wee Peng Tay (WI, 2017)

Orthogonal Projection in Linear Bandits. - Qiyu Kang; Wee Peng Tay (GlobalSIP, 2019)

Error-Correcting Neural Network. - Yang Song 012; Qiyu Kang; Wee Peng Tay (CoRR, 2019)

Sequential Multi-Class Labeling in Crowdsourcing. - Qiyu Kang; Wee Peng Tay (IEEE Trans. Knowl. Data Eng., 2019)

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. - Yang Song 012; Qiyu Kang; Wee Peng Tay (AAAI, 2021)

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. - Qiyu Kang; Yang Song 012; Qinxu Ding; Wee Peng Tay (NeurIPS, 2021)

Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks. - Qiyu Kang; Rui She 001; Sijie Wang; Wee Peng Tay; Diego Navarro Navarro; Andreas Hartmannsgruber (ITSC, 2022)

On the Robustness of Graph Neural Diffusion to Topology Perturbations. - Yang Song 012; Qiyu Kang; Sijie Wang; Kai Zhao 010; Wee Peng Tay (NeurIPS, 2022)

Building Facade Parsing R-CNN. - Sijie Wang; Qiyu Kang; Rui She 001; Wee Peng Tay; Diego Navarro Navarro; Andreas Hartmannsgruber (CoRR, 2022)

Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. - Qiyu Kang; Wee Peng Tay (IEEE Trans. Serv. Comput., 2022)

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. - Sijie Wang; Qiyu Kang; Rui She 001; Wee Peng Tay; Andreas Hartmannsgruber; Diego Navarro Navarro (AAAI, 2023)

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. - Sijie Wang; Qiyu Kang; Rui She 001; Wei Wang; Kai Zhao 010; Yang Song 012; Wee Peng Tay (CVPR, 2023)

Robust Graph Neural Diffusion for Image Matching. - Rui She 001; Qiyu Kang; Sijie Wang; Kai Zhao 010; Yang Song 012; Yi Xu 014; Tianyu Geng; Wee Peng Tay; Diego Navarro Navarro; Andreas Hartmannsgruber (ICIP, 2023)

Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. - Qiyu Kang; Kai Zhao 010; Yang Song 012; Sijie Wang; Wee Peng Tay (ICML, 2023)

Graph Neural Convection-Diffusion with Heterophily. - Kai Zhao 010; Qiyu Kang; Yang Song 012; Rui She 001; Sijie Wang; Wee Peng Tay (IJCAI, 2023)

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. - Kai Zhao 010; Qiyu Kang; Yang Song 012; Rui She 001; Sijie Wang; Wee Peng Tay (NeurIPS, 2023)

Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. - Qiyu Kang; Kai Zhao 010; Yang Song 012; Sijie Wang; Rui She 001; Wee Peng Tay (CoRR, 2023)

The Effective Coverage of Homogeneous Teams with Radial Attenuation Models. - Yuán-Ruì Yáng; Qiyu Kang; Rui She 001 (Sensors, 2023)

Image Patch-Matching With Graph-Based Learning in Street Scenes. - Rui She 001; Qiyu Kang; Sijie Wang; Wee Peng Tay; Yong Liang Guan 001; Diego Navarro Navarro; Andreas Hartmannsgruber (IEEE Trans. Image Process., 2023)

RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. - Rui She 001; Qiyu Kang; Sijie Wang; Yuán-Ruì Yáng; Kai Zhao 010; Yang Song 012; Wee Peng Tay (IEEE Trans. Image Process., 2023)

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. - Qiyu Kang; Kai Zhao 010; Yang Song 012; Yihang Xie; Yanan Zhao 003; Sijie Wang; Rui She 001; Wee Peng Tay (AAAI, 2024)

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. - Rui She 001; Sijie Wang; Qiyu Kang; Kai Zhao 010; Yang Song 012; Wee Peng Tay; Tianyu Geng; Xingchao Jian (AAAI, 2024)

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. - Sijie Wang; Rui She 001; Qiyu Kang; Xingchao Jian; Kai Zhao 010; Yang Song 012; Wee Peng Tay (AAAI, 2024)

Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. - Qiyu Kang; Kai Zhao 010; Qinxu Ding; Feng Ji; Xuhao Li; Wenfei Liang; Yang Song 012; Wee Peng Tay (ICLR, 2024)

Distributed-Order Fractional Graph Operating Network. - Kai Zhao 010; Xuhao Li; Qiyu Kang; Feng Ji; Qinxu Ding; Yanan Zhao 003; Wenfei Liang; Wee Peng Tay (NeurIPS, 2024)

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. - Rui She 001; Qiyu Kang; Sijie Wang; Wee Peng Tay; Kai Zhao 010; Yang Song 012; Tianyu Geng; Yi Xu 014; Diego Navarro Navarro; Andreas Hartmannsgruber (IEEE Trans. Geosci. Remote. Sens., 2024)

Multi-armed linear bandits with latent biases. - Qiyu Kang; Wee Peng Tay; Rui She 001; Sijie Wang; Xiaoqian Liu; Yuán-Ruì Yáng (Inf. Sci., 2024)

PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion. - Sijie Wang; Qiyu Kang; Rui She 001; Kai Zhao 010; Yang Song 012; Wee Peng Tay (IEEE Trans. Intell. Transp. Syst., 2024)

Neural Variable-Order Fractional Differential Equation Networks. - Wenjun Cui; Qiyu Kang; Xuhao Li; Kai Zhao 010; Wee Peng Tay; Weihua Deng; Yidong Li (AAAI, 2025)

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation. - Qiyu Kang; Xuhao Li; Kai Zhao 010; Wenjun Cui; Yanan Zhao 003; Weihua Deng; Wee Peng Tay (AAAI, 2025)

Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs. - Sijie Wang; Rui She 001; Qiyu Kang; Siqi Li; Disheng Li; Tianyu Geng; Shangshu Yu; Wee Peng Tay (CVPR, 2025)

Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks. - Yanan Zhao 003; Feng Ji; Kai Zhao 010; Xuhao Li; Qiyu Kang; Wenfei Liang; Yahya Alkhatib; Jianxin Wang 001; Wee Peng Tay (CoRR, 2025)

Fractional Spike Differential Equations Neural Network with Efficient Adjoint Parameters Training. - Chengjie Ge; Yufeng Peng; Xueyang Fu; Qiyu Kang; Xuhao Li; Qixin Zhang; Junhao Ren; Zheng-Jun Zha (CoRR, 2025)

AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results. - Chao Wang; Francesco Banterle; Bin Ren; Radu Timofte; Xin Lu 006; Yufeng Peng; Chengjie Ge; Zhijing Sun; Ziang Zhou; Zihao Li; Zishun Liao; Qiyu Kang; et al. (CoRR, 2025)