Jinuk Kim

Hello! I am a 2nd year PhD student at Seoul National University, Computer Science department, Machine Learning Lab, advised by Hyun Oh Song. My research interests lie in constructing efficient machine learning system by solving tractable discrete and continuous optimization problem. I completed my Bachelors in Statistics from Seoul National University in 2023.

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• May 2024 One paper got accepted in ICML 2024. See you in Vienna!

• Apr 2024 I have been awarded the Presidential Science Scholarship for Graduate Students (120/2980=4.0%).

We propose LayerMerge, a novel depth compression method that selects which activation layers and convolution layers to remove, to achieve a desired inference speed-up while minimizing performance loss.

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.

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.

Android/iOS service which collects notices from website of SNU departments and gather them (Android / Aug 2021 / 100+ MAU / 80+ WAU / 1000+ Downloads).

Template based on Jon Barron's website.