Doctor head at UNIVERSITY OF GLASGOW
Short bio
Jinpeng Li is a dedicated researcher in the field of machine learning and biomedical signal processing. With a focus on emotion recognition using electroencephalography (EEG) signals, Jinpeng’s work has contributed significantly to understanding human emotions through computational methods. His research spans various domains, including hierarchical convolutional neural networks, multisource transfer learning, and domain adaptation techniques. Jinpeng has published extensively in renowned journals such as Cognitive Computation and IEEE Transactions on Cybernetics, showcasing his expertise and innovative approaches in EEG-based emotion recognition. His work not only advances the state-of-the-art in machine learning but also holds promise for applications in healthcare and human-computer interaction.
professional profile
scholar
Educational Details
- Ph.D. in Computer Science
- Institution: [University Name]
- Thesis Title: [Title of Thesis]
- Research Focus: [Brief description of research focus]
- Master’s Degree in Information Technology
- Institution: [University Name]
- Thesis Title: [Title of Thesis]
- Research Focus: [Brief description of research focus]
- Bachelor’s Degree in Computer Science
- Institution: [University Name]
- Research Focus: [Brief description of research focus]
Professional Experiences
- Senior Research Scientist
- Company/Organization: [Organization Name]
- Duration: [Year] – Present
- Responsibilities: [Description of responsibilities and achievements]
- Assistant Professor of Computer Science
- Institution: [University Name]
- Duration: [Year] – [Year]
- Responsibilities: [Description of teaching responsibilities, research, and any administrative duties]
- Software Engineer
- Company/Organization: [Company Name]
- Duration: [Year] – [Year]
- Responsibilities: [Description of roles and contributions in software development projects]
Hierarchical Convolutional Neural Networks for EEG-based Emotion Recognition
Multisource Transfer Learning for Cross-subject EEG Emotion Recognition
- J. Li, S. Qiu, YY. Shen, CL. Liu, H. He
- IEEE Transactions on Cybernetics, 2019
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity
- J Li, S Qiu, C Du, Y Wang, H He
- IEEE Transactions on Cognitive and Developmental Systems in 2019
Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19
- J Li, G Zhao, Y Tao, P Zhai, H Chen, H He, T Cai
- Pattern Recognition in 2021
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition:
- H Chen, M Jin, Z Li, C Fan, J Li, H He
- Frontiers in Neuroscience