Scholar
Lin Yang
Google Scholar ID: fskm0zEAAAAJ
Professor, Westlake University
Citations & Impact
Citations
7,949
H-index
47
i10-index
109
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published over one hundred research papers in international journals such as Nature Machine Intelligence, Nature Medicine, TPAMI, and top conferences like CVPR, MICCAI, ECCV, and ICLR, with more than ten thousand citations; Received the MICCAI 2024 Young Scientist Award, MICCAI 2015 Young Investigator Best Paper Award, and was a finalist for the ECCV 2024 Best Paper Award; Selected as one of the top 2% scientists globally in both lifetime and annual scientific impact in 2024.
Research Experience
- Served as an Assistant Professor in the Department of Pathology, Radiology, and Biomedical Engineering at Rutgers University from 2009 to 2011; Worked as an Assistant Professor in the Computer Science Department at the University of Kentucky from 2011 to 2014; Appointed through preeminence hiring in the Departments of Computer Science, Electrical Engineering, and Biomedical Engineering from 2014 to 2019, and received Tenured Associate Professor status in 2015; Joined Westlake University's School of Engineering in 2020, established the Artificial Intelligence and Biomedical Image Analysis Lab, and is currently a Tenured Professor in the Department of Artificial Intelligence at Westlake University's School of Engineering.
Education
- Graduated from Xi'an Jiaotong University in 1999 with a Bachelor's degree in Engineering; Obtained a Master's degree in Information and Communication Engineering from Xi'an Jiaotong University in 2002; Earned a Master's and Ph.D. in Electrical and Computer Engineering from Rutgers University in 2006 and 2009, respectively.
Background
- Research Interests: Biomedical image analysis, imaging informatics, and machine learning; Professional Field: Artificial intelligence, medical imaging, machine learning, computer vision, and large-scale medical models; Brief Introduction: Made significant contributions in the fields of big data-driven computer-aided diagnosis and prediction, biomedical image analysis, digital pathology, and artificial intelligence.
Miscellany
- Held leadership positions in multiple conferences, including the 4th to 8th High-Performance Computing Symposium and IEEE BMES; Serves as an Associate Editor for the Journal of Pathology Informatics and BMC Bioinformatics, and is a professional member of IEEE, BMES, EMBS, ESPS, MICCAI, and the IEEE Computer Society.
Co-authors