Deyue Yu

Deyue Yu studies human vision, especially how people with low vision (including those with reduced acuity, restricted visual fields, or reliance on peripheral vision) read and perceive letters, text, and visual scenes. Much of the work develops and tests computer-based adaptive testing methods (such as 'qReading' and 'qVFM') that efficiently measure things like reading speed, visual acuity, and visual field sensitivity, especially for clinical and rehabilitation settings. This research is relevant to students interested in visual perception, low vision rehabilitation, psychophysics, and the design of vision assessment tools.

Publication output has declined somewhat from about 5-7 papers per year in 2017-2020 to roughly 2-3 per year in recent years, though 2024 showed a modest uptick.

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