Team Leader, at Chongqing University, China📖
Dr. Yunfei Yin is an Associate Professor at Chongqing University, with expertise in Artificial Intelligence, Social Network Mining, and Computer Vision. Holding a Ph.D. in Control Science and Engineering from Beijing University of Aeronautics and Astronautics, he has contributed significantly to research and academic advancements. With over 30 research projects, including National Natural Science Foundation of China-funded work, Dr. Yin has published more than 50 influential peer-reviewed papers. He is an active reviewer for several high-impact journals and conferences.
Scopus Profile
Scholar Profile
Education Background🎓
Yunfei Yin holds a Ph.D. in Control Science and Engineering from Beijing University of Aeronautics and Astronautics, awarded in 2010. He completed his Master’s degree in Computer Software and Theory at Guangxi Normal University in 2005. Prior to his Master’s, he earned his Bachelor’s degree in Computer Science from Peking University. His strong educational foundation in computer science, control science, and engineering has paved the way for his distinguished career in academia and research.
Professional Experience🌱
Dr. Yin began his academic career as a Master’s degree candidate at Guangxi Normal University (2002-2005), before pursuing his doctoral studies at Beijing University of Aeronautics and Astronautics (2005-2010). Since 2010, he has been a faculty member at Chongqing University, where he holds the position of Associate Professor. In addition to his teaching, Dr. Yin is an active researcher and a reviewer for prestigious journals and conferences, including the Journal of Software (Chinese), Artificial Intelligence, and the IEEE International Conference on Data Mining (ICDM).
Research Interests🔬
Dr. Yin’s research focuses on Artificial Intelligence, Social Network Mining, and Computer Vision. He is particularly interested in exploring the intersection of these areas to develop innovative solutions for complex real-world problems. His work delves into social network analysis, data mining, and the application of AI techniques to enhance machine learning systems and computer vision technologies.
Author MetricsÂ
Dr. Yin has a substantial impact on the academic community, with over 50 peer-reviewed papers published in highly regarded journals and conferences. His research has attracted attention from both national and international collaborators, reflecting his influence in the fields of AI, data mining, and computer vision. He has been involved in over 30 research projects, including those funded by the National Natural Science Foundation of China, demonstrating his leadership in cutting-edge scientific research.
Publications Top Notes 📄
1.Intelligent fire location detection approach for extrawide immersed tunnels
- Authors: Z Zhang, L Wang, S Liu, Y Yin
- Journal: Expert Systems with Applications
- Volume: 239
- Article ID: 122251
- Year: 2024
- DOI: Link
- Summary: This study introduces an intelligent fire detection methodology specifically designed for extrawide immersed tunnels, aiming to enhance fire safety and response measures in critical infrastructure.
2.High-precision 2D grating displacement measurement system based on double-spatial heterodyne optical path interleaving
- Authors: Y Yin, Z Liu, S Jiang, W Wang, H Yu, G Jiri, Q Hao, W Li
- Journal: Optics and Lasers in Engineering
- Volume: 158
- Article ID: 107167
- Year: 2022
- DOI: Link
- Summary: The paper discusses a high-precision measurement system using 2D grating displacement and double-spatial heterodyne optical path interleaving, which significantly improves the accuracy of displacement measurements in optical sensing.
3. Control approach to rough set reduction
- Authors: Y Yin, G Gong, L Han
- Journal: Computers & Mathematics with Applications
- Volume: 57(1)
- Pages: 117-126
- Year: 2009
- DOI: Link
- Summary: This research provides a control-based approach for rough set reduction, focusing on enhancing decision-making processes by simplifying large datasets while preserving critical information.
4. Dynamic data mining of sensor data
- Authors: Y Yin, L Long, X Deng
- Journal: IEEE Access
- Volume: 8
- Article ID: 41637-41648
- Year: 2020
- DOI: Link
- Summary: This paper explores dynamic data mining techniques applied to sensor data streams, providing methods for efficiently analyzing real-time sensor data for applications in various industries, including healthcare and manufacturing.
5. Multi-task learning for collaborative filtering
- Authors: L Long, F Huang, Y Yin, Y Xu
- Journal: International Journal of Machine Learning and Cybernetics
- Pages: 1-14
- Year: 2022
- DOI: Link
- Summary: This paper presents a multi-task learning approach to collaborative filtering, improving recommendation systems by integrating multiple tasks into one model, enhancing the personalized recommendation process commonly used in e-commerce and digital content platforms.
Conclusion
Dr. Yunfei Yin is a highly qualified researcher whose extensive contributions to Artificial Intelligence, Social Network Mining, and Computer Vision position him as an outstanding candidate for the Best Researcher Award. His impressive academic background, research impact, and active participation in the academic community make him a deserving recipient. While there are opportunities for growth in interdisciplinary collaborations, commercialization, and public outreach, his work remains at the forefront of innovation and significantly shapes the future of AI and data science. Dr. Yin’s dedication to advancing his fields of expertise positions him as a key figure in the research community, making him a strong contender for this prestigious award.