Jinuk Kim
Hello!
I am a 2nd year PhD student at Seoul National University, Computer Science department, advised by Hyun Oh Song.
My research interests lie in formulating practical machine learning problems into tractable
optimization problem.
Specifically, I have worked on constructing efficient machine learning systems.
I completed my Bachelors in Statistics from Seoul National University in 2023.
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Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
Jinuk Kim*, Yeonwoo Jeong*, Deokjae Lee, Hyun Oh Song
ICML, 2023
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Bibtex
We propose a subset selection problem that replaces inefficient activation layers with identity
functions and optimally merges consecutive convolution operations into shallow equivalent
convolution operations for efficient inference latency.
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Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun
Jeong, Jung-Woo Ha, Hyun Oh Song
ICML, 2022
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Bibtex
We propose a novel condensation framework that generates multiple synthetic data with a limited
storage budget via efficient parameterization considering data regularity and develop an effective
optimization technique.
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SNU Board
Code
Android/iOS service which collects notices from website of SNU departments and gather them
(Android / Aug 2021 / 100+ MAU / 80+ WAU / 1000+ Downloads).
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