Chunyu Liu is a Lecturer at North China Electric Power University, specializing in machine learning, neural decoding, and visual attention. š She earned her B.S. in Mathematics and Applied Mathematics from Henan Normal University, an M.S. in Applied Mathematics from Northwest A&F University, and a Ph.D. in Computer Application Technology from Beijing Normal University. š She completed postdoctoral training at Peking University. š¬ Her research integrates AI methodologies with cognitive neuroscience, focusing on neural encoding, decoding, and attention mechanisms. š§ She has published over 10 research papers, including six SCI-indexed publications as the first author. š Her work aims to bridge artificial intelligence with human cognitive function understanding, contributing significantly to computational neuroscience. š Liu has also been involved in several major research projects, furthering advancements in neural signal analysis and cognitive computing. š
Profile
Education š
Chunyu Liu holds a strong academic background in mathematics and computational sciences. She obtained her B.S. degree in Mathematics and Applied Mathematics from Henan Normal University. ā She pursued her M.S. in Applied Mathematics at Northwest A&F University, where she deepened her expertise in mathematical modeling. š¢ Continuing her academic journey, she earned a Ph.D. in Computer Application Technology from Beijing Normal University. š„ļø Her doctoral research explored advanced AI techniques applied to neural decoding and cognitive processing. š§ To further refine her skills, she completed postdoctoral training at Peking University, focusing on integrating artificial intelligence with neural mechanisms. š¬ Her academic pathway reflects a multidisciplinary approach, merging mathematics, computer science, and cognitive neuroscience to address complex challenges in brain science and AI. š Liuās education laid the foundation for her contributions to machine learning, visual attention studies, and neural encoding research.
Experience šØāš«
Dr. Chunyu Liu is currently a Lecturer at North China Electric Power University, where she teaches and conducts research in cognitive computing and machine learning. š She has led and collaborated on multiple projects related to neural encoding and decoding, investigating how the brain processes object recognition, emotions, and attention. š§ Prior to her current role, she completed postdoctoral research at Peking University, where she worked on advanced AI-driven models for neural signal analysis. š Over the years, Liu has gained extensive experience in analyzing multimodal neural signals, including magnetoencephalography (MEG) and functional MRI (fMRI). š” She has also served as a reviewer for esteemed scientific journals and collaborated with interdisciplinary research teams on AI and brain science projects. š¬ Her expertise extends to both academia and industry, where she has contributed to the development of novel computational models for decoding brain activity. š
Research Interests š¬
Dr. Chunyu Liu’s research integrates artificial intelligence and brain science to understand cognitive functions through neural decoding. š§ She employs multi-modal neural signals such as magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) to analyze brain activity. š” Her work explores neural encoding and decoding, focusing on object recognition, emotion processing, and multiple-object attention. šÆ She develops AI-based models to extract human brain features and gain insights into cognitive mechanisms. š¤ By integrating psychological experimental paradigms with AI, Liu aims to advance computational neuroscience. š Her research also inspires the development of new AI theories and algorithms based on principles of brain function. š She has led major projects in cognitive computing, contributing significantly to both theoretical advancements and practical applications in neural signal processing. š Through her work, she bridges the gap between human cognition and artificial intelligence, driving innovations in brain-computer interface research. š
Awards & Recognitions š
Dr. Chunyu Liu has received recognition for her outstanding contributions to cognitive computing and AI-driven neuroscience research. š
She has been nominated for the prestigious International Cognitive Scientist Award for her pioneering work in neural decoding and visual attention mechanisms. šļø Liu’s research publications have been featured in high-impact journals, earning her accolades from the scientific community. š Her first-author papers in IEEE Transactions on Neural Systems and Rehabilitation Engineering, Science China Life Sciences, and IEEE Journal of Biomedical and Health Informatics have been widely cited. š She has also been honored with research grants and funding for AI-driven cognitive studies. š¬ Her innovative work in decoding brain signals has been recognized in international AI and neuroscience conferences. š Liu’s academic excellence and contributions continue to shape the field of computational neuroscience and machine learning applications in cognitive science. š
Publications š
- Decoding six basic emotions from brain functional connectivity patterns
C Liu, Y Wang, X Sun, Y Wang, F Fang
Science China Life Sciences 66 (4), 835-847
- Decoding disparity categories in 3-dimensional images from fMRI data using functional connectivity patterns
C Liu, Y Li, S Song, J Zhang
Cognitive Neurodynamics 14 (2), 169-179
- Categorizing objects from MEG signals using EEGNet
R Shi, Y Zhao, Z Cao, C Liu, Y Kang, J Zhang
Cognitive Neurodynamics, 1-13
- Rapidly decoding image categories from MEG data using a multivariate short-time FC pattern analysis approach
C Liu, Y Kang, L Zhang, J Zhang
IEEE Journal of Biomedical and Health Informatics 25 (4), 1139-1150
- Image categorization from functional magnetic resonance imaging using functional connectivity
C Liu, S Song, X Guo, Z Zhu, J Zhang
Journal of neuroscience methods 309, 71-80
- s-TBN: A new neural decoding model to identify stimulus categories from brain activity patterns
C Liu, B Cao, J Zhang
IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Neural representation of multi-objectattention:Evidence from magnetoencephalography
C Liu, P Cai, F Fang
The 16th Annual Meeting of Chinese Neuroscience Society & The 2nd CJKĀ ā¦