MixNet: Joining Force of Classical and Modern Approaches Toward the
Comprehensive Pipeline in Motor Imagery EEG ClassificationIEEE Internet of Things Journal (IEEE IoT J.), 2024 |
Scalable and Privacy-Preserving Federated Principal Component AnalysisIEEE Symposium on Security and Privacy (IEEE S&P), 2023 |
Toward reliable signals decoding for electroencephalogram: A benchmark
study to EEGNeXBiomedical Signal Processing and Control (BSPC), 2022 |
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor
Imagery EEG ClassificationIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021 |
Decoding EEG Rhythms During Action Observation, Motor Imagery, and
Execution for Standing and SittingIEEE Sensors Journal (IEEE Sens. J.), 2020 |