Summary

Last updated: 2020-11-03

I am a senior student majoring Electrical and Computer Engineering at Seoul National University, South Korea. I am interested in software systems that support deep learning, and also optimizing system components using deep learning. I have experience on GPU cluster resource management, server-client collaborative DNN inference, and meta-learning. I also try to follow up on state-of-the-art deep learning research during my free time.

Find the PDF version of my CV here.

Publications

ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference

Jae-Won Chung, Jae-Yun Kim, and Soo-Mook Moon
In ICPP (Acceptance Rate 29%=78/269), Edmonton, CA, 2020.
DOI, arXiv, Local Viewer, YouTube

Research Experience

Research Intern

Mar 2020 - Present

GPU cluster resource management

• Working with Professor Byoung-Gon Chun.
• Developing Crane, an elastic GPU cluster resource manager for deep learning workloads.

Senior Project

Dec 2019 - Jun 2020

Server-client collaborative DNN inference

• Advised by Professor Soo-Mook Moon.
• Developed a novel server-client collaborative video DNN inference scheme that drastically reduces network traffic via intermittent knowledge distillation.
• Implemented the scheme with PyTorch & OpenMPI and conducted evaluation using an NVIDIA Jetson Nano board as a client

Research Intern

Jun 2019 - Dec 2019

Meta-learning, Few-shot Classification

• Advised by Professor Kyoung Mu Lee.
• Conducted research on better meta-initialization points for Model-Agnostic Meta-Learning (MAML) using an LSTM-based neural memory.
• Conducted research on generating task-aware class embeddings to augment feature maps of MAML with a convex program (DPP).

Research Intern

Jun 2019 - Aug 2019

Deep Learning methods for Quantitative Susceptibility Mapping (QSM)

• Advised by Professor Jongho Lee.
• Designed, implemented, and trained a U-Net variant on in-vivo brain MRI field images and their COSMOS results.
• Submitted our solution to the QSM challenge held by the 5th International Workshop on MRI Phase Contrast and QSM.

Honors and Awards

Kwanjeong Undergraduate Scholarship

Mar 2019

Kwanjeong Educational Foundation

Extracurricular Activity

Member

Dec 2018 - Present

A free research group on all domains of deep learning

• Gained experience extensively in computer vision and meta-learning, and attended talks on computer vision, natural language processing, reinforcement learning, and speech recognition.
• Gave a talk with the title "Memory plus Meta-Learning".

Language Coordinator

Oct 2018 - Present

An official Coursera community that traslates Coursera lecture subtitles

• Served as Language Coordinator, a selected position that reviews and confirms works by other translators.
• Created Korean subtitles for Coursera Lectures initially provided only in English. Focused on courses related to machine learning.

Teaching

Computer Organization (Undergraduate architecture)

Fall 2020

Peer tutor, provided 30 hours of online lecture

Skills & Proficiency

Python, PyTorch

C, Verilog, LaTeX

C++, CUDA, MATLAB

Rust, Go, JavaScript