5G Positioning Using Code-Phase Timing Recovery. - Chengming Jin; Ian Bajaj; Kai Zhao 010; Wee Peng Tay; Keck Voon Ling (WCNC, 2021)

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)

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)

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. - Feng Ji; See Hian Lee; Hanyang Meng; Kai Zhao 010; Jielong Yang; Wee Peng Tay (ICML, 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)

Identifying miRNA-Disease Associations Based on Simple Graph Convolution with DropMessage and Jumping Knowledge. - Xuehua Bi; Chunyang Jiang; Cheng Yan; Kai Zhao 010; Linlin Zhang; Jianxin Wang 001 (ISBRA, 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)

A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements. - Chengming Jin; Wee Peng Tay; Kai Zhao 010; Keck Voon Ling; Jun Lu 004; Yue Wang (PLANS, 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)

Distributional Signals for Node Classification in Graph Neural Networks. - Feng Ji; See Hian Lee; Kai Zhao 010; Wee Peng Tay; Jielong Yang (CoRR, 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)

Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals. - Disheng Li; Kai Zhao 010; Jun Lu 002; Yawei Zhang; Xiangdong An 003; Wee Peng Tay; Sirajudeen Gulam Razul (VTC Fall, 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)

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)

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features. - Feng Ji; Yanan Zhao 003; Kai Zhao 010; Hanyang Meng; Jielong Yang; Wee Peng Tay (ICLR, 2025)

LGFMDA: miRNA-Disease Association Prediction with Local and Global Feature Representation Learning. - Chunyang Jiang; Yuanbo Guo; Linlin Zhang; Xuehua Bi; Kai Zhao 010 (ISBRA (2), 2025)

Prediction of High-Altitude Pulmonary Edema Based on Resampling and Ensemble Learning. - Saisai Ma; Xuehua Bi; Linlin Zhang; Haifeng Xu; Kai Zhao 010 (ISBRA (2), 2025)

Graph Distributional Signals for Regularization in Graph Neural Networks. - Feng Ji; Yanan Zhao 003; See Hian Lee; Kai Zhao 010; Wee Peng Tay; Jielong Yang (IEEE Trans. Signal Inf. Process. over Networks, 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)

CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL. - Sijie Wang; Quanjiang Guo; Kai Zhao 010; Yawei Zhang; Xin Li; Xiang Li; Siqi Li; Rui She 001; Shangshu Yu; Wee Peng Tay (CoRR, 2025)