| 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 | 120 | 2024 |
| 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 | 56 | 2016 |
| 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 | 31 | 2017 |
| Towards Interpretable Federated Learning A Li, R Liu, M Hu, LA Tuan, H Yu arXiv preprint arXiv:2302.13473, 2023 | 21 | 2023 |
| 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 | 17 | 2022 |
| 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 | 11 | 2021 |
| 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 | 10 | 2024 |
| EEG-Deformer: A dense convolutional transformer for brain-computer interfaces Y Ding, Y Li, H Sun, R Liu, C Tong, C Liu, X Zhou, C Guan IEEE Journal of Biomedical and Health Informatics, 2024 | 9 | 2024 |
| 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 | 8 | 2024 |
| 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 | 7 | 2022 |
| IoT Based Experimental Study to Modify Water Consumption Behavior of Domestic Users A Rehman, R Raza, NU Hassan, Y Zhou, R Liu, BKK Ng, C Yuen Smart Grid and Innovative Frontiers in Telecommunications: Third …, 2018 | 5 | 2018 |
| FedIBD: a federated learning framework in asynchronous mode for imbalanced data Y Hou, H Li, Z Guo, W Wu, R Liu, L You Applied Intelligence 55 (2), 1-17, 2025 | 2 | 2025 |
| Horizontal Federated Learning For Brain-Computer Interface K Hu, R Liu, H Yu Proceedings of the 5th Distributed Artificial Intelligence Conference (DAI'23), 2023 | 2 | 2023 |
| Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients S Chen, L You, R Liu, S Yu, AM Abdelmoniem arXiv preprint arXiv:2407.05268, 2024 | | 2024 |
| High-dimensional graph signal processing and applications R Liu Singapore University of Technology and Design, 2019 | | 2019 |
Han YuAssociate Professor, CCDS, Nanyang Technological University, SingaporeVerificeret mail på ntu.edu.sg