Suivre
Xuan Kan
Titre
Citée par
Citée par
Année
VeriNet: User verification on smartwatches via behavior biometrics
CX Lu, B Du, X Kan, H Wen, A Markham, N Trigoni
Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and …, 2017
162017
Fbnetgen: Task-aware gnn-based fmri analysis via functional brain network generation
X Kan, H Cui, J Lukemire, Y Guo, C Yang
International Conference on Medical Imaging with Deep Learning, 618-637, 2022
122022
BrainGB: a benchmark for brain network analysis with graph neural networks
H Cui, W Dai, Y Zhu, X Kan, AAC Gu, J Lukemire, L Zhan, L He, Y Guo, ...
IEEE Transactions on Medical Imaging, 2022
72022
Data-efficient brain connectome analysis via multi-task meta-learning
Y Yang, Y Zhu, H Cui, X Kan, L He, Y Guo, C Yang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
72022
Zero-shot scene graph relation prediction through commonsense knowledge integration
X Kan, H Cui, C Yang
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
72021
Brain network transformer
X Kan, W Dai, H Cui, Z Zhang, Y Guo, C Yang
arXiv preprint arXiv:2210.06681, 2022
62022
Autonomous learning for face recognition in the wild via ambient wireless cues
CX Lu, X Kan, B Du, C Chen, H Wen, A Markham, N Trigoni, J Stankovic
The World Wide Web Conference, 1175-1186, 2019
62019
HydraDoctor: real-time liquids intake monitoring by collaborative sensing
B Du, CX Lu, X Kan, K Wu, M Luo, J Hou, K Li, S Kanhere, Y Shen, H Wen
Proceedings of the 20th International Conference on Distributed Computing …, 2019
32019
Towards self-supervised face labeling via cross-modality association
CX Lu, X Kan, S Rosa, B Du, H Wen, A Markham, N Trigoni
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 1-2, 2017
32017
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks
Y Yu, X Kan, H Cui, R Xu, Y Zheng, X Song, Y Zhu, K Zhang, R Nabi, ...
arXiv preprint arXiv:2211.00261, 2022
12022
Neighborhood-Regularized Self-Training for Learning with Few Labels
R Xu, Y Yu, H Cui, X Kan, Y Zhu, J Ho, C Zhang, C Yang
arXiv preprint arXiv:2301.03726, 2023
2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis
W Dai, H Cui, X Kan, Y Guo, S van Rooij, C Yang
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