Geon-Woo Kim
Scholar

Geon-Woo Kim

Google Scholar ID: lNpT22YAAAAJ
The University of Texas at Austin
Computer ScienceSystems for Machine Learning
Citations & Impact
All-time
Citations
830
 
H-index
7
 
i10-index
7
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications:
  • 1. HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training, presented at the Forty-second International Conference on Machine Learning (ICML 25).
  • 2. OMEGA: A Low-Latency GNN Serving System for Large Graphs.
Research Experience
  • Worked as a software engineer at Viva Republica, a startup that operates one of South Korea’s largest fintech services, before starting his Ph.D. program.
Education
  • Ph.D. Student in Computer Science at The University of Texas at Austin, 2022-Present, Advisor: Prof. Aditya Akella; B.S. in Computer Science & Engineering (Summa cum laude) and Mathematical Sciences (Double Major) from Seoul National University, Advisor: Prof. Byung-Gon Chun.
Background
  • Research interests: Systems for machine learning, with a recent focus on tackling the challenges of large-scale model training and inference.
Miscellany
  • Email: gwkim [at] utexas [dot] edu
  • LinkedIn Profile
Co-authors
0 total
Co-authors: 0 (list not available)