Rui Liu

According to our database, Rui Liu authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis.

Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan

IEEE Trans. Cybern., March, 2025

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis.

Yajie Zhang, Yu-An Huang, Yao Hu, Rui Liu, Jibin Wu, Zhi-An Huang, Kay Chen Tan

Medical Image Anal., 2025

A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization.

Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data.

Rui Liu, Zhi-An Huang, Yao Hu, Lei Huang, Ka-Chun Wong, Kay Chen Tan

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data.

Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI.

Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI.

Zhi-An Huang, Rui Liu, Zexuan Zhu, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Enhancing Spatio-Temporal Auditory Attention Decoding with ST-AADNet.

Ruofan Yan, Shu Peng, Zhige Chen, Zhi-An Huang, Rui Liu, Kay Chen Tan, Jibin Wu

Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024

Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis.

Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans.

Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans.

Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan

IEEE Trans. Biomed. Eng., April, 2023

2022

Classifying ASD based on time-series fMRI using spatial-temporal transformer.

Xin Deng, Jiahao Zhang, Rui Liu, Ke Liu

Comput. Biol. Medicine, 2022

CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation.

Lei Huang, Jiecong Lin, Rui Liu, Zetian Zheng, Lingkuan Meng, Xingjian Chen, Xiangtao Li, Ka-Chun Wong

Briefings Bioinform., 2022

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans.

Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data.

Zhi-An Huang, Rui Liu, Kay Chen Tan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020