Rui Liu - RankMe

19 papers B 1Misc 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EEG-to-gait decoding via phase-aware representation learning. Neural Networks Xi Fu, Weibang Jiang, Rui Liu, Gernot R. Müller-Putz, Cuntai Guan
2025	J	`jnl`	EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Chenyu Liu, Xinliang Zhou, Cuntai Guan
2025	J	`jnl`	EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding. CoRR Xi Fu, Rui Liu, Aung Aung Phyo Wai, Hannah S. Pulferer, Neethu Robinson, Gernot R. Müller-Putz, Cuntai Guan
2025	J	`jnl`	ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying. CoRR Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Mengjun Wu, Weibang Jiang, Zhiwei Guo, Wei Zhang, Rui Liu, Shangen Zhang, Yong Li, Yi Ding, Cuntai Guan
2025	J	`jnl`	FedIBD: a federated learning framework in asynchronous mode for imbalanced data. Appl. Intell. Yingwei Hou, Haoyuan Li, Zihan Guo, Weigang Wu, Rui Liu, Linlin You
2025	J	`jnl`	Federated Graph Neural Networks: Overview, Techniques, and Challenges. IEEE Trans. Neural Networks Learn. Syst. Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan, Han Yu
2025	J	`jnl`	Zero-Shot EEG-to-Gait Decoding via Phase-Aware Representation Learning. CoRR Xi Fu, Weibang Jiang, Rui Liu, Gernot R. Müller-Putz, Cuntai Guan
2024	J	`jnl`	AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection. IEEE Trans. Intell. Transp. Syst. Sheng Liu, Linlin You, Rui Zhu, Bing Liu, Rui Liu, Han Yu, Chau Yuen
2024	J	`jnl`	Aggregating intrinsic information to enhance BCI performance through federated learning. Neural Networks Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan
2024	J	`jnl`	EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces. CoRR Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Cuntai Guan
2024	J	`jnl`	Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients. CoRR Shaoyuan Chen, Linlin You, Rui Liu, Shuo Yu, Ahmed M. Abdelmoniem
2023	J	`jnl`	Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning. CoRR Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan
2023	J	`jnl`	Towards Interpretable Federated Learning. CoRR Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu
2022	—	`conf`	AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Sheng Liu, Haohao Qu, Qiyang Chen, Weitao Jian, Rui Liu, Linlin You
2022	J	`jnl`	Federated Graph Neural Networks: Overview, Techniques and Challenges. CoRR Rui Liu, Han Yu
2021	J	`jnl`	Joint estimation of low-rank components and connectivity graph in high-dimensional graph signals: Application to brain imaging. Signal Process. Rui Liu, Ngai-Man Cheung
2018	—	`conf`	IoT Based Experimental Study to Modify Water Consumption Behavior of Domestic Users. SmartGIFT Aneeq-ur Rehman, Reeba Raza, Naveed Ul Hassan, Yuren Zhou, Rui Liu, Benny Kai Kiat Ng, Chau Yuen
2017	Misc	`conf`	Simultaneous low-rank component and graph estimation for high-dimensional graph signals: Application to brain imaging. ICASSP Rui Liu, Hossein Nejati, Seyed Hamid Safavi, Ngai-Man Cheung
2016	B	`conf`	Dimensionality reduction of brain imaging data using graph signal processing. ICIP Rui Liu, Hossein Nejati, Ngai-Man Cheung