Qiaoli Zhou — accepted AI-conference papers

2025

Generative Adversarial Network with Adaptive Synthesis for Brain-Computer Interfaces in Motor Imagery Classification

Qiaoli Zhou, Xiyuan Ye, Shurui Li, Yi Zhao, Qiang Du, Li Ke

ICASSP 2025accepted

Motor Imagery (MI) is essential in Brain-Computer Interfaces (BCIs), highlighting the central role of electroencephalography (EEG) in this technology. However, the amount of raw EEG data is often limited. Raw EEG data contains significant noise caused by individual and task-specific differences. The…

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2025

MDRNet: Multi-Branch with Different Feature Representations Network for Motor Imagery Classification

Qiaoli Zhou, Yi Zhao, Shun Zhang, Jiawen Song, Qiang Du, Li Ke

ICASSP 2025accepted

A brain-computer interface (BCI) offers an innovative solution for facilitating communication and control in individuals with paralysis. BCI reflects brain activity by decoding electroencephalogram (EEG) signals. Despite numerous techniques for classifying motor imagery (MI) EEG signals, challenges…

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