Prof. Li Liu-Innovative Leadership-Best Researcher Award
Prof Li Liu, Soochow University, China
🔗 Professional Profiles
📚 Dr. Li Liu – Associate Professor at Soochow University
Li Liu is an associate professor in the School of Computer Science and Technology at Soochow University, China. He earned his Ph.D. in Computer Science from Rutgers, The State University of New Jersey, in 2018. Dr. Liu teaches courses in Software Engineering, Machine Learning, Data Visualization, Discrete Mathematics, and Stochastic Process. His research interests are focused on Pattern Recognition, Machine Learning, Computer Vision, and Scientific Visualization. With over 20 journal publications, his research has been supported by the National Science Foundation of China and the Jiangsu Provincial Natural Science General Program.
🧠 Research and Innovations
Completed/Ongoing Research Projects:
- 2021.1-2023.12: Research on Activity Representation and Recognition for Time-Varying Volume Data Visualization, funded by the National Science Foundation of China (62002253).
- 2021.1-2022.12: Research on Feature Extraction Method of Fuzzy Clustering for Scientific Visualization, funded by the Jiangsu Provincial Natural Science General Program (20KJB520027).
📈 Citation Index
- About 100
🔬 Patents
- Published/Under Process: 3
📝 Journals Published (SCI, Scopus, etc.):
- ACM Computing Surveys
- Pattern Recognition
- Computer Graphics Forum
- IEEE Computer Graphics and Applications
- Journal of Visualization
- IEEE Access
🌐 Collaborations
- Rutgers University
- Central South University of China
- Nanjing University
👥 Professional Memberships
- China Computer Federation (CCF)
- Jiangsu Computer Society (JSCS)
- Jiangsu Artificial Intelligence Society (JSAI)
🔍 Areas of Research
- Pattern Recognition
- Machine Learning
- Scientific Visualization
🌟 Contributions
Dr. Liu has proposed new theories and methods for scientific visualization, machine learning, and pattern recognition. He has expanded the knowledge system and application scope of Lie group theory and dynamic fuzzy logics. His efforts have helped researchers better understand the basics and the state-of-the-art in these fields.
Publication Top Noted
A Lie group semi-supervised FCM clustering method for image segmentation
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- Authors: Haocheng Sun, Li Liu, Fanzhang Li
- Journal: Pattern Recognition
- Year: 2024
A Lie group kernel learning method for medical image classification
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- Authors: Li Liu, Haocheng Sun, Fanzhang Li
- Journal: Pattern Recognition
- Year: 2023
A Survey on Dynamic Fuzzy Machine Learning
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- Authors: Li Liu, Fanzhang Li
- Journal: ACM Computing Surveys
- Year: 2023
Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint
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- Authors: Li Liu
- Journal: Entropy
- Year: 2020
Visualizing Acoustic Imaging of Hydrothermal Plumes on the Seafloor
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- Authors: Not specified
- Journal: Not specified
- Year: 2020