구성원

PEOPLE & LIFE

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Lee, Seulki

직위

부교수

주요 연구분야

AI & Machine Learning, Multimedia Signal Processing, Robotics & Control, Computer Architecture, Software Systems & Networking

주요 연구

Embedded Systems, On-device AI, Machine Learning, Mobile and Sensing Systems, Real-time Computing

소속연구실

Embedded AI Lab

위치

IT융합빌딩 (N1)

910

연락처

7484

디비전

Computer

division

학위
Ph.D.(2021) University of North Carolina at Chapel Hill
대표업적
  • Bayesian Code Diffusion for Efficient Automatic Deep Learning Program Optimization, OSDI 2025
  • CAFO: Feature-Centric Explanation on Time Series Classification, KDD 2024
  • Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks, NeurIPS 2023
  • On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems, SenSys 2023
  • “Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization”, MobiSys 2020