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Kai Zhao 0010
Person information
- affiliation: Nanyang Technological University, School of Electronic and Electrical Engineering, Singapore
Other persons with the same name
- Kai Zhao — disambiguation page
- Kai Zhao 0001 — NEC Laboratories, Beijing, China
- Kai Zhao 0002 — Concordia University, Montreal, Canada
- Kai Zhao 0003 — Google Inc., New York, NY, USA (and 4 more)
- Kai Zhao 0004
— Chongqing University, School of Automation, China
- Kai Zhao 0005 — SanDisk, MA, USA (and 1 more)
- Kai Zhao 0006 — Shanghai Jiao Tong University, City Key Laboratory of Automobile Engineering of Shanghai, China
- Kai Zhao 0007
- Kai Zhao 0008
- Kai Zhao 0009
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2020 – today
- 2024
- [j2]Rui She
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c14]Rui She
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. AAAI 2024: 231-239 - [c13]Sijie Wang, Rui She
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. AAAI 2024: 10377-10385 - [c12]Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. AAAI 2024: 13049-13058 - [c11]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. ICLR 2024 - [c10]Disheng Li, Kai Zhao, Jun Lu, Yawei Zhang, Xiangdong An, Wee Peng Tay, Sirajudeen Gulam Razul:
Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals. VTC Fall 2024: 1-6 - [i15]Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian:
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. CoRR abs/2401.03167 (2024) - [i14]Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay:
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. CoRR abs/2401.04331 (2024) - [i13]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber:
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. CoRR abs/2404.14034 (2024) - [i12]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. CoRR abs/2404.17099 (2024) - [i11]Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay:
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion. CoRR abs/2410.04939 (2024) - 2023
- [j1]Rui She
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. 32: 5550-5563 (2023) - [c9]Sijie Wang, Qiyu Kang, Rui She
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CVPR 2023: 5176-5185 - [c8]Rui She
Robust Graph Neural Diffusion for Image Matching. ICIP 2023: 311-315 - [c7]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. ICML 2023: 14869-14885 - [c6]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. ICML 2023: 15786-15808 - [c5]Kai Zhao, Qiyu Kang, Yang Song, Rui She
Graph Neural Convection-Diffusion with Heterophily. IJCAI 2023: 4656-4664 - [c4]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS 2023 - [c3]Chengming Jin, Wee Peng Tay, Kai Zhao, Keck Voon Ling, Jun Lu, Yue Wang:
A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements. PLANS 2023: 1176-1183 - [i10]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay:
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR abs/2303.01030 (2023) - [i9]Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay:
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CoRR abs/2304.00932 (2023) - [i8]Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang:
Distributional Signals for Node Classification in Graph Neural Networks. CoRR abs/2304.03507 (2023) - [i7]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. CoRR abs/2305.00139 (2023) - [i6]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. CoRR abs/2305.16780 (2023) - [i5]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. CoRR abs/2305.18965 (2023) - [i4]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR abs/2310.06396 (2023) - [i3]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR abs/2311.03904 (2023) - [i2]Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay:
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. CoRR abs/2312.10616 (2023) - 2022
- [c2]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. NeurIPS 2022 - [i1]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. CoRR abs/2209.07754 (2022) - 2021
- [c1]Chengming Jin, Ian Bajaj, Kai Zhao, Wee Peng Tay
5G Positioning Using Code-Phase Timing Recovery. WCNC 2021: 1-7
Coauthor Index
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last updated on 2024-12-29 21:10 CET by the dblp team
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