معرفی
Lijun Yin is a SUNY Distinguished Professor of Computer Science at Binghamton University, part of the Thomas J. Watson College of Engineering and Applied Science. He directs the Research Center for Imaging, Acoustics and Perception Science (CIAPS), the Graphics and Image Computing Laboratory, and co-directs the Seymour Kunis Media Core. His research focuses on computational methods in computer vision, graphics, and human-computer interaction, with over 160 publications and 10 patents. Notable contributions include 2D/3D/4D facial expression databases widely used in academia and industry.
Education:
- Bachelor of Science, Beijing University of Post and Telecommunication
- Master of Science, Shanghai Jiao Tong University
- Doctor of Philosophy, University of Alberta, Canada (2000)
Research Interests: Yin's work spans computer vision, graphics, and image processing, with emphasis on facial expression analysis, 3D object modeling, and human behavior understanding. He has pioneered multimodal data fusion techniques and developed influential facial expression databases.
Professional Activities: Yin has chaired major conferences like FG2025 and served on editorial boards of journals like Image and Vision Computing. He is an IEEE Fellow and National Academy of Inventors Senior Member.
Awards:
- Lois B. DeFleur Faculty Prize for Academic Achievement (2019)
- SUNY Chancellor's Award for Excellence in Scholarship (2014)
- James Watson Investigator Award (2006)
- FG2024 Test of Time Award (2024)
Students: Yin has advised numerous PhD and master's students (listed in detail above), many of whom hold academic or industry leadership positions. His lab alumni include faculty at institutions like Texas A&M, Missouri S&T, and Amazon Research.
Labs & Teams: His laboratories (CIAPS, GAIC) focus on imaging science, perception, and graphics. Collaborative projects include the V4V Challenge for non-contact vital signs estimation and the 3DFAW Workshop on facial alignment.
