Chi-Heng Lin
Scholar

Chi-Heng Lin

Google Scholar ID: OqSt2wMAAAAJ
Georgia Institute of Technology
NLPPost-TrainingEfficient AILLM
Citations & Impact
All-time
Citations
379
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Research Experience
  • Worked at Samsung AI Center - Mountain View on various LLM applications, including multi-token predictions, model compression, and hybrid state-space models.
Education
  • Earned a PhD in Electrical and Computer Engineering from the Georgia Institute of Technology, advised by Dr. Eva L. Dyer.
Background
  • Machine Learning Researcher, focusing on Efficient AI and Personal Intelligence, particularly in the application of Large Language Models (LLMs). Passionate about advancing artificial intelligence through interdisciplinary machine learning techniques to bridge the gap between practice and theory.