Kai Zhao

According to our database, Kai Zhao authored at least 29 papers between 2021 and 2025.

Collaborative distances:

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

2025

CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL.

Sijie Wang, Quanjiang Guo, Kai Zhao, Yawei Zhang, Xin Li, Xiang Li, Siqi Li, Rui She, Shangshu Yu, Wee Peng Tay

CoRR, August, 2025

Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks.

Yanan Zhao, Feng Ji, Kai Zhao, Xuhao Li, Qiyu Kang, Wenfei Liang, Yahya Alkhatib, Jianxin Wang, Wee Peng Tay

CoRR, April, 2025

Graph Distributional Signals for Regularization in Graph Neural Networks.

Feng Ji, Yanan Zhao, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang

IEEE Trans. Signal Inf. Process. over Networks, 2025

Prediction of High-Altitude Pulmonary Edema Based on Resampling and Ensemble Learning.

Saisai Ma, Xuehua Bi, Linlin Zhang, Haifeng Xu, Kai Zhao

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

LGFMDA: miRNA-Disease Association Prediction with Local and Global Feature Representation Learning.

Chunyang Jiang, Yuanbo Guo, Linlin Zhang, Xuehua Bi, Kai Zhao

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features.

Feng Ji, Yanan Zhao, Kai Zhao, Hanyang Meng, Jielong Yang, Wee Peng Tay

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation.

Qiyu Kang, Xuhao Li, Kai Zhao, Wenjun Cui, Yanan Zhao, Weihua Deng, Wee Peng Tay

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Neural Variable-Order Fractional Differential Equation Networks.

Wenjun Cui, Qiyu Kang, Xuhao Li, Kai Zhao, Wee Peng Tay, Weihua Deng, Yidong Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

IEEE Trans. Intell. Transp. Syst., December, 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

Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals.

Disheng Li, Kai Zhao, Jun Lu, Yawei Zhang, Xiangdong An, Wee Peng Tay, Sirajudeen Gulam Razul

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Distributed-Order Fractional Graph Operating Network.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Distributional Signals for Node Classification in Graph Neural Networks.

Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang

CoRR, 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

A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements.

Chengming Jin, Wee Peng Tay, Kai Zhao, Keck Voon Ling, Jun Lu, Yue Wang

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 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

Identifying miRNA-Disease Associations Based on Simple Graph Convolution with DropMessage and Jumping Knowledge.

Xuehua Bi, Chunyang Jiang, Cheng Yan, Kai Zhao, Linlin Zhang, Jianxin Wang

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 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

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks.

Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, 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

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

2021

5G Positioning Using Code-Phase Timing Recovery.

Chengming Jin, Ian Bajaj, Kai Zhao, Wee Peng Tay, Keck Voon Ling

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021