Scholar
Shangce GAO
Google Scholar ID: WkgUyOAAAAAJ
Professor, University of Toyama, Japan
Citations & Impact
Citations
8,875
H-index
47
i10-index
156
Publications
20
Co-authors
20
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Best Paper Award, 2025 9th I
Research Experience
- Focused on brain-inspired neural networks and their applications in medical diagnosis and drug discovery; Served as an Associate Editor for many international journals such as IEEE Transactions on Neural Networks and Learning Systems; Served as a Secretary for Hokuriku Section, IEICE, and has served on the (senior) program committees for several international professional conferences, including AAAI, NeurIPS, IJCAI, ICML, ICLR, CVPR, etc.
Education
- Received B.S. degree from Southeast University, Nanjing, China in 2005, and M.E. and D.E. degrees from University of Toyama, Toyama, Japan in 2008 and 2011, respectively. Worked as an Associate Professor at Tongji University from 2011. Since 2014, served as an Associate Professor in the Faculty of Engineering at the University of Toyama, Japan, and was granted an exceptional promotion to Professor in 2023.
Background
- Research Interests: Artificial Intelligence, Computational Intelligence, and Neural Networks; Evolutionary computation, particularly meta-heuristics, differential evolution, and evolutionary multi/many-objective optimization; Neural networks and learning systems, particularly deep learning, reinforcement learning, and dendritic neuron models; Evolutionary machine learning, ensemble learning, and transfer learning; Feature extraction, feature construction, and feature learning; Real-world Application, including Internet of vehicles, medical imaging problems, and other NP-hard combinatorial problems.
Miscellany
- No personal interests mentioned
