Qihui Xu

Qihui Xu's work focuses on how humans and computational models (including large language models) learn and represent language, with particular attention to bilingualism, code-switching, and whether concepts require sensory/motor grounding to be understood. Their research combines behavioral and neuroimaging methods (like fMRI) with computational and network-science modeling to study language acquisition and processing in bilingual speakers. Note that some listed publications (e.g., on hemodialysis, SAR ship detection, image generation) appear unrelated to this core research area and may reflect co-authorship on other projects or shared author names.

Publication output has grown from sparse single papers in the late 2010s to a steadier average of about 3-4 per year over the last five years, with a peak in 2023 and continued activity through 2025.

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