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.
GPU cluster resource management
• Working with Professor Byoung-Gon Chun. • Developing Crane, an elastic GPU cluster resource manager for deep learning workloads.
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
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).
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 Educational Foundation
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".
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.
Peer tutor, provided 30 hours of online lecture