LMDA-Net: A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability. - Zhengqing Miao; Xin Zhang 058; Meirong Zhao; Dong Ming (CoRR, 2023)

Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG Classification. - Zhengqing Miao; Meirong Zhao (CoRR, 2023)

LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability. - Zhengqing Miao; Meirong Zhao; Xin Zhang 058; Dong Ming (NeuroImage, 2023)

Priming cross-session motor imagery classification with a universal deep domain adaptation framework. - Xin Zhang 058; Zhengqing Miao; Carlo Menon; Yelong Zheng; Meirong Zhao; Dong Ming (Neurocomputing, 2023)

Exploring Artificial Neural Network Models for c-VEP Decoding in a Brain-Artificial Intelligence Interface. - Zhengqing Miao; Anja Meunier; Michal Robert Zák; Moritz Grosse-Wentrup (BIBM, 2024)

Time-space-frequency feature Fusion for 3-channel motor imagery classification. - Zhengqing Miao; Meirong Zhao (Biomed. Signal Process. Control., 2024)

Pseudo Channel: Time Embedding for Motor Imagery Decoding. - Zhengqing Miao; Meirong Zhao (CoRR, 2024)

Weight-freezing: A motor imagery inspired regularization approach for EEG classification. - Zhengqing Miao; Meirong Zhao (Biomed. Signal Process. Control., 2025)