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Bio
She was selected into the Elite Peiyang Scholar Program, Tianjin University in 2017.She has undertaken two national natural science foundations of China (NSFC) and has participated in several national projects as a key member. Till now, she has published over 30 academic papers in peer-reviewed journals and conferences.
Her research interests focus on using signal processing, complex network and machine learning methods to analyze medical images (fMRI image) or medical signals (EEG signal), understand the intelligent information processing mechanism in the brain, and further promote the development of brain information decoding and brain-computer interface, human-robot interaction and artificial intelligence, and early identification of brain disorders.
Her research interests focus on using signal processing, complex network and machine learning methods to analyze medical images (fMRI image) or medical signals (EEG signal), understand the intelligent information processing mechanism in the brain, and further promote the development of brain information decoding and brain-computer interface, human-robot interaction and artificial intelligence, and early identification of brain disorders.
Research Interests
Papers共 81 篇Author StatisticsCo-AuthorSimilar Experts
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Tianyi Zhao,Gaoyan Zhang
IEEE journal of biomedical and health informaticsno. 99 (2024): 1-10
Knowledge-Based Systemspp.111826, (2024)
Zeming He,Gaoyan Zhang
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.2001-2005, (2024)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1741-1745, (2024)
Conference of the International Speech Communication Associationpp.3789-3793, (2023)
Frontiers in human neuroscience (2023): 1253211
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
Conference of the International Speech Communication Associationpp.3739-3743, (2023)
Journal of neural engineeringno. 4 (2023): 046006-046006
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