
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

Jaehong Yoon
UNIST, M.S., CS, 2018
UNIST, B.S., CS, 2016
Continual Learning, Online Learning, Federated Learning, Neural Pruning

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

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

Jay Heo
UNIST, M.S., CS, 2019
University of Texas at Austin B.A., Psychology, 2015
Time-series forecasting,
Explainable AI,
Active Learning

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

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

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

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

Hayeon Lee
KAIST, M.S. CS 2018
Sungkyunkwan University, B.S., CS, 2016
Meta-Learning, Neural Architecture Search, Multi-modal Retrieval

Wonyong Jeong
State University of New York,
B.S., CS, 2019
Federated Learning, Semi-Supervised Learning, Continual 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


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


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




Sunil Hwang


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


Wonbin Lee


Dongki Kim


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


Interns

Jeonghwan Kim
Administrative Staff
Alumni (PhD Students)

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
Alumni (MS Students)

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


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


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


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


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

Alumni (Visiting Researchers)

Wuhyun Shin
