Changmin Lee

Changmin Lee

AI Research Engineer  Β·  M.S.-Ph.D. @ UNIST

UAI Lab  Β·  Advisor: Prof. Taesik Gong

I work on |

News

2026.10 πŸ’Ό Joined Nota AI as a Quantization Engineer Intern on the NetsPresso Platform Team (Quantization Part).
2026.05 πŸ“ Paper "From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG" accepted to ICML 2026. Project Page β†—
2025.08 πŸ† Awarded NRF Master's Fellowship (석사과정생연ꡬμž₯λ €κΈˆμ§€μ›).
2025.03 πŸŽ“ Joined UAI Lab at UNIST as a graduate student (M.S.-Ph.D.).
2024.11 πŸ† Outstanding Paper Award at Korean Institute of Information Technology Fall Conference (undergraduate paper competition).

Research

I build AI systems that are personal, efficient, and deployable on the edge.
Personalized AI & RAG
Memory systems that retain what matters to each user β€” selective, preference-aware, compact.
preference alignment memory construction retrieval
EPIC Β· ICML 2026
On-Device AI
Pushing LLM capabilities to consumer devices β€” tight budgets, real users, no cloud.
edge inference efficiency resource-aware
AI Agents & Memory
Compact, reusable memory for GUI agents that act efficiently on mobile devices.
GUI agents action reuse mobile
PastForward Β· arXiv 2026

About

Experience

Quantization Engineer Intern
Seoul, Korea
2026.10 β€” Present
  • Team: NetsPresso Platform Team Β· Quantization Part
  • Model quantization for NetsPresso, a hardware-aware AI model optimization platform
Graduate Researcher
UNIST Β· Ulsan, Korea
2025.03 β€” Present
  • Advisor: Prof. Taesik Gong
  • Research on Personalized AI Β· On-Device AI Β· AI Agents & Memory
Undergraduate Research Intern
Kyungpook National University Β· Daegu, Korea
2024.01 β€” 2024.11

Education

UNIST
M.S.-Ph.D. in Computer Science and Engineering
Ulsan, Korea
2025.03 β€” Present
Kyungpook National University
B.S. in Computer Science and Engineering
Daegu, Korea
2019.03 β€” 2025.02
  • GPA: 3.83 / 4.3  Β·  Major GPA: 4.07 / 4.3