Rui Liu

According to our database, Rui Liu authored at least 17 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying.

Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Mengjun Wu, Weibang Jiang, Zhiwei Guo, Wei Zhang, Rui Liu, Shangen Zhang, Yong Li, Yi Ding, Cuntai Guan

CoRR, September, 2025

Zero-Shot EEG-to-Gait Decoding via Phase-Aware Representation Learning.

Xi Fu, Weibang Jiang, Rui Liu, Gernot R. Müller-Putz, Cuntai Guan

CoRR, June, 2025

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding.

Xi Fu, Rui Liu, Aung Aung Phyo Wai, Hannah S. Pulferer, Neethu Robinson, Gernot R. Müller-Putz, Cuntai Guan

CoRR, April, 2025

Federated Graph Neural Networks: Overview, Techniques, and Challenges.

Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan, Han Yu

IEEE Trans. Neural Networks Learn. Syst., March, 2025

EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces.

Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Chenyu Liu, Xinliang Zhou, Cuntai Guan

IEEE J. Biomed. Health Informatics, March, 2025

FedIBD: a federated learning framework in asynchronous mode for imbalanced data.

Yingwei Hou, Haoyuan Li, Zihan Guo, Weigang Wu, Rui Liu, Linlin You

Appl. Intell., January, 2025

2024

AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection.

Sheng Liu, Linlin You, Rui Zhu, Bing Liu, Rui Liu, Han Yu, Chau Yuen

IEEE Trans. Intell. Transp. Syst., August, 2024

Aggregating intrinsic information to enhance BCI performance through federated learning.

Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan

Neural Networks, 2024

Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients.

Shaoyuan Chen, Linlin You, Rui Liu, Shuo Yu, Ahmed M. Abdelmoniem

CoRR, 2024

EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces.

Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Cuntai Guan

CoRR, 2024

2023

Towards Interpretable Federated Learning.

Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu

CoRR, 2023

2022

Federated Graph Neural Networks: Overview, Techniques and Challenges.

Rui Liu, Han Yu

CoRR, 2022

AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation.

Sheng Liu, Haohao Qu, Qiyang Chen, Weitao Jian, Rui Liu, Linlin You

Proceedings of the IEEE Smartworld, 2022

2021

Joint estimation of low-rank components and connectivity graph in high-dimensional graph signals: Application to brain imaging.

Rui Liu, Ngai-Man Cheung

Signal Process., 2021

2018

IoT Based Experimental Study to Modify Water Consumption Behavior of Domestic Users.

Aneeq-ur Rehman, Reeba Raza, Naveed Ul Hassan, Yuren Zhou, Rui Liu, Benny Kai Kiat Ng, Chau Yuen

Proceedings of the Smart Grid and Innovative Frontiers in Telecommunications, 2018

2017

Simultaneous low-rank component and graph estimation for high-dimensional graph signals: Application to brain imaging.

Rui Liu, Hossein Nejati, Seyed Hamid Safavi, Ngai-Man Cheung

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Dimensionality reduction of brain imaging data using graph signal processing.

Rui Liu, Hossein Nejati, Ngai-Man Cheung

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016