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Rui Liu
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Cited by
Year
Dimensionality reduction of brain imaging data using graph signal processing
R Liu, H Nejati, NM Cheung
2016 IEEE International Conference on Image Processing (ICIP), 1329-1333, 2016
492016
Federated Graph Neural Networks: Overview, Techniques, and Challenges
R Liu, P Xing, Z Deng, A Li, C Guan, H Yu
IEEE Transactions on Neural Networks and Learning Systems, 2024
482024
Simultaneous low-rank component and graph estimation for high-dimensional graph signals: Application to brain imaging
R Liu, H Nejati, SH Safavi, NM Cheung
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
292017
Adaptation and Learning to Learn (ALL): An Integrated Approach for Small-Sample Parking Occupancy Prediction
H Qu, S Liu, J Li, Y Zhou, R Liu
Mathematics 10 (12), 2039, 2022
102022
Joint estimation of low-rank components and connectivity graph in high-dimensional graph signals: Application to brain imaging
R Liu, NM Cheung
Signal Processing 182, 107931, 2021
82021
Towards Interpretable Federated Learning
A Li, R Liu, M Hu, LA Tuan, H Yu
arXiv preprint arXiv:2302.13473, 2023
62023
Afmeta: Asynchronous federated meta-learning with temporally weighted aggregation
S Liu, H Qu, Q Chen, W Jian, R Liu, L You
2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable …, 2022
52022
Aggregating intrinsic information to enhance BCI performance through federated learning
R Liu, Y Chen, A Li, Y Ding, H Yu, C Guan
Neural Networks 172, 106100, 2024
22024
AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection
S Liu, L You, R Zhu, B Liu, R Liu, H Yu, C Yuen
IEEE Transactions on Intelligent Transportation Systems, 2024
12024
High-dimensional graph signal processing and applications
R Liu
Singapore University of Technology and Design, 2019
2019
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