Yihui Liang

Yihui Liang's research centers on image matting, the computational task of precisely separating foreground objects from backgrounds in images and video, including challenging cases like transparent objects, smoke, and low-resolution images. Much of the work applies evolutionary optimization and machine learning techniques to improve accuracy and computational efficiency of these image segmentation methods. Note that the bibliographic record also includes some unrelated titles (e.g., on concrete materials, tokamak fusion configurations, and algebra), which appear to be name-matching artifacts rather than this researcher's actual output.

Publication output has grown somewhat unevenly over the last decade, rising from zero in 2017 to a peak of 9 in 2022, with continued activity of 5-8 papers per year through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026