Qing Yao
Scholar

Qing Yao

Google Scholar ID: kCe3H3YAAAAJ
UT Austin
Computational Linguistics
Citations & Impact
All-time
Citations
7
 
H-index
2
 
i10-index
0
 
Publications
4
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Publications: 1. Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models, COLM, 2025; 2. BERT’s Insights Into the English Dative and Genitive Alternations, SCiL, 2024; 3. Random Space-Time Sampling and Reconstruction of Sparse Bandlimited Graph Diffusion Field, Journal of Fourier Analysis and Applications, 2025; 4. Space-Time Variable Density Samplings for Sparse Bandlimited Graph Signals Driven by Diffusion Operators, ICASSP, 2023.
Research Experience
  • Worked with Professor Sui Tang on applying compressed sensing theory to graph signal processing at UCSB; Completed a senior thesis with Professor Simon Todd on extracting and analyzing BERT’s preferences for English dative and genitive alternations.
Education
  • Ph.D. in Linguistics from The University of Texas at Austin, 2024 - Present, Advisor: Kyle Mahowald; B.S. in Mathematics from the University of California, Santa Barbara, 2020 - 2024, worked with Professor Sui Tang on applying compressed sensing theory to graph signal processing and completed a senior thesis with Professor Simon Todd on extracting and analyzing BERT’s preferences for English dative and genitive alternations.
Background
  • Research interests: How language models learn and exhibit complex linguistic and cognitive behaviors. Specialization: Computational Linguistics. Background: A second-year Ph.D. student in the UT Austin Computational Linguistics group, advised by Professor Kyle Mahowald. Studies are funded by the Harrington Fellowship.