Professor

Sung Ju Hwang
Sung Ju Hwang is an associate professor in the Graduate School of Artificial Intelligence and School of Computing at KAIST. Prior to working at KAIST, he was an assistant professor in the School of Electrical and Computer Engineering at UNIST, and before that he was a postdoctoral research associate at Disney Research, working under the supervision of Professor Leonid Sigal. He earned a Ph.D. in computer science from The University of Texas at Austin, under the supervision of Professor Kristen Grauman. During his Ph.D. he closely collaborated with Professor Fei Sha at The University of Southern California.
PhD Students

Jin Myung Kwak
KAIST, M.S., CS, 2018
UC Berkely B.S., EECS, 2014
Natural Language Understanding, Conversation Agent, Text Generation

Byungjoo Kim
Korea University, M.S., CS, 2021
Korea University, B.S., EE, 2018
Trustworthy Deep Learning


Jeff Willette
KAIST, M.S., CS, 2021
ASU B.A. Business 2010
Bayesian Deep Learning, Calibration

Seanie Lee
KAIST, M.S., AI, 2022
Yonsei University, B.A.,
Library and Information Science, 2018
Natural Language Processing, Generative Models

Geon Park
Sogang University, B. Eng., CS, 202
Neural Architecture Search, Federated Learning, Neural Network Quantization


Bruno Andreis
KAIST, M.S., CS, 2019
UNIST, B.S., EE, 2017
Computer Vision, Network Compression, Reinforcement Learning

Dongchan Min
KAIST, M.S., AI, 2022
KAIST, B.S, EE/Business, 2020
Speech, Generative Models

Dongki Kim

Minseon Kim
KAIST, M.S., EE, 2020
KAIST, B.S., CS/Bio & Brain Eng., 2018,
Self-Supervised Learning,
Adversarial Learning

Minki Kang
KAIST, M.S., AI, 2021
KAIST, B.Eng, CS/EE, 2020
Natural Language Understanding,
Reinforcement Learning

Youngwan Lee
Researcher at ETRI
Inha University, M.S., 2017
Inha University, B.S., 2015
Object Detection/Segmentation, Self-Supervised Learning

Seul Lee
KAIST, M.S., AI, 2022
KAIST, B.S., Aerospace Engineering and Biological Sciences, 2019
Generative Models, Graph Neural Networks


Taewook Nam
KAIST, M.S., CS, 2020
KAIST, B.S., CS, 2018
Meta Learning, Reinforcement Learning, Bayesian Deep Learning

Dongbok Lee
KAIST, M.S., AI, 2021
Korea University, B.S., CS, 2019
Natural Language Processing,
Generative Models

Jinheon Baek
KAIST, M.S., AI, 2022
Korea University,
B.S., CS/B. Eng., 2020
Graph Neural Networks

Beomyoung Kim
AI Researcher at Naver Clova
KAIST, M.S, Future Vehicles, 2021
Inha University, B.S, ICE, 2019
Computer Vision, Segmentation, Detection
MS Students

Haebin Sung



Geonju Lee
KAIST, B.S., CS, 2021
Graph Neural Networks, Reinforcement Learning, Self-/Semi-Supervised Supervised Learning


Wonbin Lee
Kwangwoon University, B.S., Software Engineering, 2022
Adversarial Learning



Jin Jiongdao
University of Electronic Science and Technology of China (UESTC),
B.S., Automation, 2021
Continual Learning



Jeonghwan Kim


Hyeonjeong Ha
KAIST, B.S., CS 2022
Adversarial Learning, Meta Learning, Self-Supervised Learning

Interns

Daeun Lee
goodgpt@korea.ac.kr
Korea University, Statistics (undergraduate)
Autonomous driving,
Computer Vision

Jina Kim
KAIST C.S. (undergraduate)
Network Compression, Natural Language Processing, Computer Vision

Seunghyun Kim
seunghyun.me@gmail.com
Korea University, B.S., CS, 2023
AutoML, HyperNetworks,
Diffusion Models


Luke Chen
lchen64@berkeley.edu
UC Berkeley, B.A., Math, CS 2019
AutoML, Neural Architecture Search, Computer Vision

Minju Seo
Korea University, C.S. (undergraduate)
Natural Language Processing, Large Language Models
Administrative Staff
Alumni (PhD Students)

Wonyeong Jeong
CTO at DeepAuto.ai
KAIST, Ph.D, AI, 2023
State Univ. NY, BS, CS & AMS, 2019
Federated Learning, AutoML

Hae Beom Lee
Postdoc at University of Montreal, under Professor Youshua Bengio’s supervision
KAIST PhD., AI, 2022
UNIST, M.S., CS, 2018
UNIST, B.S., CS, 2016

Hayeon Lee
Postdoc at FAIR (MetaAI)
under Yuandong Tian
KAIST, Ph.D, CS, 2023
KAIST, M.S. CS, 2018
Sungkyunkwan University, B.S., CS, 2016
Meta-Learning, Neural Architecture Search, Multi-modal Retrieval

Jaehong Yoon
Postdoc at University of North Carolina under
Professor Mohit Bansal
KAIST, Ph.D, CS, 2023
UNIST, M.S., CS, 2018
UNIST, B.S., CS, 2016
Continual Learning, Online Learning, Federated Learning, Neural Pruning

Jay Heo
Samsung Advanced Institute of Technology
KAIST, Ph.D, CS, 2023
UNIST, M.S., CS, 2019
University of Texas at Austin B.A., Psychology, 2015
Alumni (MS Students)

Hyunsu Rhee
NCSOFT
(Substitute Military Service)
KAIST, M.S. AI 2022


Eunyoung Hyung
Research Scientist
at Samsung Research
KAIST, M.S., AI, 2021


Tuan Nguyen
Ph.D. student at Oxford
KAIST, M.S., CS, 2020


Sunil Hwang
Defense Acquisition Program Administration
KAIST, M.S. AI 2022


Donghyun Na
Research Scientist at KRAFTON
(Substitute Military Service)
KAIST, M.S., CS, 2019


Minyoung Song
KAIST, M.S., AI, 2021


Moonsu Han
Research Scientist at NCSOFT
Language AI Research
UNIST, M.S., CS, 2019

Alumni (Visiting Researchers)

Wuhyun Shin
