Professor

Eunho

Eunho Yang

Dr. Eunho Yang is a tenured associate professor in the Graduate School of AI and School of Computing at KAIST. Before joining KAIST in the summer of 2016, he spent two years as a research staff member at IBM T.J. Watson Research Center. He obtained his Ph.D. in 2014 from the University of Texas at Austin and did M.S. and B.S. from the Seoul National University in 2006 and 2004, respectively. From 2006 to 2009, he was a researcher at Korea Telecom as an alternative military service in Korea. His research interest includes general statistical machine learning with a special focus on high-dimensional statistics and diverse machine learning algorithms with the recent focus on the generative models.

Ph.D. Students

Hajin
Since Spring 2019
Image/Video Manipulation, Generative Models, Graph Neural Networks
June

June Yong Yang

Since Fall 2019
Explainable AI, Natural Language Processing
Geondo
Since Spring 2020
Efficient Machine Learning, Natural Language Processing
Jihun
Since Spring 2020
Optimization, Learning with Sparsity, Pruning/Quantization
Tehrim
Since Spring 2020
Generative Models, Biochemical Applications of Deep Learning
Yeonsung

Yeonsung Jung

Since Fall 2020
NeRF, Debiasing, Self-Supervised Learning, Image Translation, Graph Neural Networks
Gyeongman
Since Spring 2021
Computer Vision, Natural Language Processing
Jaeyun
Since Spring 2021
Graph Neural Networks, Robust ML, Interpretability
Joonhyung
Since Spring 2021
Multi-modal ML, Geometric Deep Learning, Graph Neural Networks
Hangyul
Since Spring 2022
Medical Deep Learning, Multimodal Learning
Sihwan

Sihwan Park

Since Fall 2022
Self-Supervised Learning, Graph Neural Networks, Generalization in Deep Learning
Yoonjeon
Since Spring 2023
Image/Video Manipulation, Motion Transfer
Heecheol

Heecheol Yun

Since Fall 2023
Computer Vision, 3D Reconstruction
Minyoung
Since Fall 2023
Generative Models, Self-Supervised Learning
Hyunjin
Since Spring 2024
Graph Neural Networks, Practical ML
Sohee

Sohee Kim

Since Spring 2024
Geometric Deep Learning, Generalizable Deep Learning

M.S. Students

Joonhyun
Since Fall 2022
Computer Vision, Vision-Language Models
Jungeun

Jungeun Kim

Since Fall 2022
Image/Video Translation, Self-Supervised Learning, Data Augmentation
Doohyuk

Doohyuk Jang

Since Spring 2023
Natural Language Processing, Time Series Data
Chanjae

Chanjae Park

Since Fall 2023
Multimodal Learning, Reinforcement Learning
Joowon

Joowon Kim

Since Fall 2023
Generative Models, Multimodal Learning, Video Question Answering
Soohyun

Soohyun Ryu

Since Fall 2023
Text-Guided Image Manipulation/Retrieval
Will
Since Fall 2023
Self-Supervised Learning, Natural Language Processing, Robustness
Donghyeon
Since Spring 2024
Generative Models, Diffusion Models, Computer Vision
Gilhyun

Gilhyun Nam

Since Spring 2024
Multimodal Learning, Transfer Learning
Taewon
Since Spring 2024
Test-Time Adaptation, Zero-Shot Domain Adaptation

Interns

Gyouk

Gyouk Chu

Since Fall 2023
Natural Language Processing, Audio Processing
Jimin
Since Fall 2023
Natural Language Processing, Explainable AI
Junyeong

Junyeong Song

Since Spring 2024
Computer vision, Tabular data, Large Language Models

Alumni (Post Doctors)

PostDoc's, 2020
Nota AI
PostDoc's, 2020
삼성서울병원 AI연구센터

Alumni (Ph.D. Students)

Alumni (M.S. Students)

M.S. in CS, 2019
NAVER Cloud
M.S. in CS, 2020
CryptoQuant
M.S. in CS, 2020
HYPERCONNECT
M.S. in CS, 2020
TmaxSoft
M.S. in CS, 2021
HYPERCONNECT
M.S. in AI, 2021
Samsung Research

Jung Hyun Lee

M.S. in AI, 2021
NAVER Cloud

Soonwoo Kwon

M.S. in AI, 2021
Riiid
M.S. in AI, 2022
HYPERCONNECT
M.S. in AI, 2022
LG AI Research
M.S. in AI, 2022
LINE Plus Corporation

Youngho Jeong

M.S. in AI, 2023
RideFlux
M.S. in AI, 2024
AITRICS
M.S. in AI, 2024
HYPERCONNECT

Seungyeon Woo

M.S. in AI, 2024


Lab Events

2019 Year-end Party

2019 Summer Workshop

2018 Winter Workshop

2018 Professor's Day

2017 Strawberry Festival