Dimensionality reduction of brain imaging data using graph signal processing. - Rui Liu 034; Hossein Nejati; Ngai-Man Cheung (ICIP, 2016)

Simultaneous low-rank component and graph estimation for high-dimensional graph signals: Application to brain imaging. - Rui Liu 034; Hossein Nejati; Seyed Hamid Safavi; Ngai-Man Cheung (ICASSP, 2017)

IoT Based Experimental Study to Modify Water Consumption Behavior of Domestic Users. - Aneeq-ur Rehman; Reeba Raza; Naveed Ul Hassan; Yuren Zhou; Rui Liu 034; Benny Kai Kiat Ng; Chau Yuen (SmartGIFT, 2018)

Joint estimation of low-rank components and connectivity graph in high-dimensional graph signals: Application to brain imaging. - Rui Liu 034; Ngai-Man Cheung (Signal Process., 2021)

AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation. - Sheng Liu; Haohao Qu; Qiyang Chen; Weitao Jian; Rui Liu 034; Linlin You (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Federated Graph Neural Networks: Overview, Techniques and Challenges. - Rui Liu 034; Han Yu 001 (CoRR, 2022)

Towards Interpretable Federated Learning. - Anran Li 001; Rui Liu 034; Ming Hu 003; Luu Anh Tuan; Han Yu 001 (CoRR, 2023)

EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces. - Yi Ding 012; Yong Li 032; Hao Sun; Rui Liu 034; Chengxuan Tong; Cuntai Guan (CoRR, 2024)

Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients. - Shaoyuan Chen; Linlin You; Rui Liu 034; Shuo Yu; Ahmed M. Abdelmoniem (CoRR, 2024)

Aggregating intrinsic information to enhance BCI performance through federated learning. - Rui Liu 034; Yuanyuan Chen; Anran Li 001; Yi Ding 012; Han Yu 001; Cuntai Guan (Neural Networks, 2024)

AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection. - Sheng Liu; Linlin You; Rui Zhu; Bing Liu 023; Rui Liu 034; Han Yu 001; Chau Yuen (IEEE Trans. Intell. Transp. Syst., 2024)

FedIBD: a federated learning framework in asynchronous mode for imbalanced data. - Yingwei Hou; Haoyuan Li; Zihan Guo; Weigang Wu; Rui Liu 034; Linlin You (Appl. Intell., 2025)

EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces. - Yi Ding 012; Yong Li 032; Hao Sun; Rui Liu 034; Chengxuan Tong; Chenyu Liu; Xinliang Zhou; Cuntai Guan (IEEE J. Biomed. Health Informatics, 2025)

Federated Graph Neural Networks: Overview, Techniques, and Challenges. - Rui Liu 034; Pengwei Xing; Zichao Deng; Anran Li 001; Cuntai Guan; Han Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding. - Xi Fu; Rui Liu 034; Aung Aung Phyo Wai; Hannah S. Pulferer; Neethu Robinson; Gernot R. Müller-Putz; Cuntai Guan (CoRR, 2025)

Zero-Shot EEG-to-Gait Decoding via Phase-Aware Representation Learning. - Xi Fu; Weibang Jiang; Rui Liu 034; Gernot R. Müller-Putz; Cuntai Guan (CoRR, 2025)