Scholar
Haibin Ling
Google Scholar ID: v3w4IYUAAAAJ
Chair Professor, Westlake University
Citations & Impact
Citations
33,540
H-index
76
i10-index
252
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Honors include the Best Student Paper Award at ACM UIST (2003), NSF CAREER Award (2014), Yahoo Faculty Research and Engagement Award (2019), Amazon Machine Learning Research Award (2019), and Best Journal Paper Award at IEEE VR (2021). He serves or served as Associate Editors for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Vision and Image Understanding (CVIU), and Pattern Recognition (PR). He has also served frequently as an Area Chair for major AI conferences including CVPR, ICCV, ECCV, ACM MM, and WACV. He is a Fellow of the IEEE.
Research Experience
- Worked as an assistant researcher at Microsoft Research Asia (2000–2001), a postdoctoral researcher at UCLA (2006–2007), and a research scientist at Siemens Corporate Research (2007–2008). Served as an Assistant Professor (2008–2014) and Associate Professor (2014–2019) at Temple University, and as a SUNY Empire Innovation Professor in the Department of Computer Science at Stony Brook University (2019-2025). In 2025, he joined Westlake University as a Chair Professor in the Department of Artificial Intelligence.
Education
- B.S. and M.S. degrees from Peking University; Ph.D. from the University of Maryland.
Background
- His research interests span computer vision, augmented reality, medical image analysis, machine learning, and AI for science. He is currently a Chair Professor in the Department of Artificial Intelligence at Westlake University.
Miscellany
- There are multiple openings in his lab for postdocs, PhD students, visiting students/interns, and research assistants. Interested individuals can send their CV and relevant materials. He is particularly looking for collaborators/students with backgrounds in biology and math/physics to work on AI for science.
Co-authors