Sihan Liu
Scholar

Sihan Liu

Google Scholar ID: eq7JPDgAAAAJ
University of California San Diego
Theoretical Machine LearningDistribution Testing
Citations & Impact
All-time
Citations
130
 
H-index
7
 
i10-index
5
 
Publications
17
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Papers: 'Improved classical shadows from local symmetries in the Schur basis', 'Replicable Uniformity Testing', 'Replicability in High Dimensional Statistics', and others, accepted to NeurIPS 2024, FOCS 2024, COLT 2024, etc.
Research Experience
  • Short-term research internship at the National Institute of Informatics (NII), supervised by Yoshida Yuichi.
Education
  • PhD: UC San Diego, Theoretical Computer Science Group, advised by Daniel Kane; BS: University of Wisconsin Madison, Computer Science, worked with Ilias Diakonikolas and Christos Tzamos.
Background
  • Research Interests: Algorithmic and statistical problems, particularly related to the foundations of machine learning. Field: Theoretical Computer Science.
Miscellany
  • Personal Interests: Music collection, including soundtracks from anime like Demon Slayer and Attack on Titan.