Kai Zhao - RankMe

49 papers A* 14B 2Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks. CoRR Yanan Zhao, Feng Ji, Jingyang Dai, Jiaze Ma, Keyue Jiang, Kai Zhao, Wee Peng Tay
2025	J	`jnl`	CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL. CoRR Sijie Wang, Quanjiang Guo, Kai Zhao, Yawei Zhang, Xin Li, Xiang Li, Siqi Li, Rui She, Shangshu Yu, Wee Peng Tay
2025	J	`jnl`	ESGC-MDA: Identifying miRNA-Disease Associations Using Enhanced Simple Graph Convolutional Networks. IEEE Trans. Comput. Biol. Bioinform. Xuehua Bi, Chunyang Jiang, Cheng Yan, Kai Zhao, Linlin Zhang, Jian-Xin Wang
2025	A*	`conf`	Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation. AAAI Qiyu Kang, Xuhao Li, Kai Zhao, Wenjun Cui, Yanan Zhao, Weihua Deng, Wee Peng Tay
2025	J	`jnl`	Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation. CoRR Qiyu Kang, Xuhao Li, Kai Zhao, Wenjun Cui, Yanan Zhao, Weihua Deng, Wee Peng Tay
2025	J	`jnl`	Graph Distributional Signals for Regularization in Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Feng Ji, Yanan Zhao, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang
2025	—	`conf`	LGFMDA: miRNA-Disease Association Prediction with Local and Global Feature Representation Learning. ISBRA (2) Chunyang Jiang, Yuanbo Guo, Linlin Zhang, Xuehua Bi, Kai Zhao
2025	A*	`conf`	Neural Variable-Order Fractional Differential Equation Networks. AAAI Wenjun Cui, Qiyu Kang, Xuhao Li, Kai Zhao, Wee Peng Tay, Weihua Deng, Yidong Li
2025	J	`jnl`	Neural Variable-Order Fractional Differential Equation Networks. CoRR Wenjun Cui, Qiyu Kang, Xuhao Li, Kai Zhao, Wee Peng Tay, Weihua Deng, Yidong Li
2025	—	`conf`	OmiImp: A Cross-Omics Imputation Framework Based on Improved Generative Adversarial Network. BIBM Kai Zhao, Zhipeng Gao, Xuehua Bi, Guanglei Yu, Yanan Zhang, Linlin Zhang
2025	—	`conf`	Prediction of High-Altitude Pulmonary Edema Based on Resampling and Ensemble Learning. ISBRA (2) Saisai Ma, Xuehua Bi, Linlin Zhang, Haifeng Xu, Kai Zhao
2025	A*	`conf`	Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features. ICLR Feng Ji, Yanan Zhao, Kai Zhao, Hanyang Meng, Jielong Yang, Wee Peng Tay
2025	J	`jnl`	Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks. CoRR Yanan Zhao, Feng Ji, Kai Zhao, Xuhao Li, Qiyu Kang, Wenfei Liang, Yahya Alkhatib, Jianxin Wang, Wee Peng Tay
2024	A*	`conf`	Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. AAAI Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay
2024	J	`jnl`	Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. CoRR Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay
2024	—	`conf`	Cross-Attention Transformer for User-Level Depression Detection. CMLDS Kai Zhao, Haoxuan Fan, Zhiwei Wang, Linlin Zhang
2024	A*	`conf`	DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. AAAI Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay
2024	A*	`conf`	Distributed-Order Fractional Graph Operating Network. NeurIPS Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay
2024	J	`jnl`	Distributed-Order Fractional Graph Operating Network. CoRR Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay
2024	J	`jnl`	PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion. IEEE Trans. Intell. Transp. Syst. Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay
2024	J	`jnl`	PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion. CoRR Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay
2024	J	`jnl`	PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. CoRR Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber
2024	J	`jnl`	PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. IEEE Trans. Geosci. Remote. Sens. Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber
2024	A*	`conf`	PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. AAAI Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian
2024	J	`jnl`	PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. CoRR Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian
2024	—	`conf`	Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals. VTC Fall Disheng Li, Kai Zhao, Jun Lu, Yawei Zhang, Xiangdong An, Wee Peng Tay, Sirajudeen Gulam Razul
2024	A*	`conf`	Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. ICLR Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay
2024	J	`jnl`	Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. CoRR Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay
2023	—	`conf`	A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements. PLANS Chengming Jin, Wee Peng Tay, Kai Zhao, Keck Voon Ling, Jun Lu, Yue Wang
2023	A*	`conf`	Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
2023	J	`jnl`	Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
2023	J	`jnl`	DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. CoRR Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay
2023	J	`jnl`	Distributional Signals for Node Classification in Graph Neural Networks. CoRR Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang
2023	A*	`conf`	Graph Neural Convection-Diffusion with Heterophily. IJCAI Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
2023	J	`jnl`	Graph Neural Convection-Diffusion with Heterophily. CoRR Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
2023	A*	`conf`	HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CVPR Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
2023	J	`jnl`	HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CoRR Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
2023	—	`conf`	Identifying miRNA-Disease Associations Based on Simple Graph Convolution with DropMessage and Jumping Knowledge. ISBRA Xuehua Bi, Chunyang Jiang, Cheng Yan, Kai Zhao, Linlin Zhang, Jianxin Wang
2023	A*	`conf`	Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. ICML Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay
2023	J	`jnl`	Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. CoRR Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay
2023	J	`jnl`	Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay
2023	A*	`conf`	Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. ICML Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay
2023	J	`jnl`	Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. CoRR Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay
2023	B	`conf`	Robust Graph Neural Diffusion for Image Matching. ICIP Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
2023	J	`jnl`	RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay
2023	J	`jnl`	RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay
2022	A*	`conf`	On the Robustness of Graph Neural Diffusion to Topology Perturbations. NeurIPS Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay
2022	J	`jnl`	On the Robustness of Graph Neural Diffusion to Topology Perturbations. CoRR Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay
2021	B	`conf`	5G Positioning Using Code-Phase Timing Recovery. WCNC Chengming Jin, Ian Bajaj, Kai Zhao, Wee Peng Tay, Keck Voon Ling