Scholar
Yinghuan Shi（史颖欢）
Google Scholar ID: m6BKDUMAAAAJ
Nanjing University
Citations & Impact
Citations
7,446
H-index
39
i10-index
97
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers in journals and conferences such as Chemical Science, TIP 2025, TMI 2025, ACM MM 2025, Pattern Recognition 2025, ICCV 2025, MICCAI 2025. Led projects funded by NSFC Key Project, Jiangsu Frontier Technology R&D Project, etc. Students have won awards such as Ant Intech PhD Scholarship, China Society of Electronics-Tencent Doctoral Research Incentive Plan, etc.
Research Experience
- Currently a Professor in the Department of Computer Science and Technology at Nanjing University, member of the National Key Laboratory for Novel Software Technology, and member of the Reasoning and Learning Research Group. Visited the IDEA Lab at the University of North Carolina at Chapel Hill from 2011 to 2012, working with Prof. Dinggang Shen. Returned to the IDEA Lab for a three-month visit in 2016. Spent two months as a Visiting Scholar at the Data Science Lab at the University of Technology, Sydney (UTS) in 2014, working with Prof. Longbing Cao.
Education
- Received B.Sc. in Computer Science from Nanjing University in 2007 and Ph.D. in Computer Science from Nanjing University in 2013. Advisor: Prof. Yang Gao.
Background
- Research interests include machine learning, pattern recognition, computer vision, and medical image analysis. Specific research directions are semi-supervised learning, weakly-supervised learning, domain adaptation, and domain generalization.
Miscellany
- Recruiting joint PhD and Master students, focusing on intelligent medical system engineering.
Co-authors