Zicheng Xu
Scholar

Zicheng Xu

Google Scholar ID: w874n4sAAAAJ
CS PhD, Johns Hopkins University
machine learninglarge language modelsdigital health
Citations & Impact
All-time
Citations
4
 
H-index
1
 
i10-index
0
 
Publications
6
 
Co-authors
7
list available
Resume (English only)
Research Experience
  • Worked on medical machine learning, including arrhythmia detection and stroke prediction.
Education
  • Currently a first-year Ph.D. student in Computer Science at Johns Hopkins University, advised by Dr. Vladimir Braverman and Dr. Alex Szalay. Previously, he earned his B.S. in Computer Science and B.A. in Mathematical Economic Analysis from Rice University. At Hopkins, he is also affiliated with the Center for Language and Speech Processing (CLSP).
Background
  • Research Interests: Large Language Models (LLMs) inference time scaling and reasoning. In the past, he has also worked on medical machine learning, including arrhythmia detection and stroke prediction.
Miscellany
  • Location: Baltimore, MD