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
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
Haebeom Lee
UNIST, M.S., CS, 2018
UNIST, B.S., CS, 2016
Meta Learning, Bayesian Deep Learning
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
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
Learning & Inference in Interpretable Machine Learning Models, Time Series Analysis, Computer Vision, Human Computer Interaction
Minseon Kim
KAIST, M.S., EE, 2020
KAIST, B.S., CS/Bio & Brain Eng., 2018,
Self-Supervised Learning,
Adversarial Learning
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
yw.lee@etri.re.kr
Researcher at ETRI
M.S. Inha University, 2017
B.S. Inha University, 2015
Object Detection/Segmentation
Self-Supervised Learning
MS Students
Seul Lee
KAIST, B.S., Aerospace Engineering and Biological Sciences, 2019
Generative Models, Graph Neural Networks
Dongki Kim
Jin Jiongdao
University of Electronic Science and Technology of China (UESTC),
B.S., Automation, 2021
Continual 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
Administrative Staff
Alumni
Tuan Nguyen
Ph.D. student
at Oxford
KAIST, M.S., CS, 2020
Eunyoung Hyung
Research Scientist
at Samsung Research
KAIST, M.S., AI, 2021
Donghyun Na
Research Scientist
at KRAFTON
(Substitute Military Service)
KAIST, M.S., CS, 2019
Jeongun Ryu
Research Scientist
at Lunit
(Substitute Military Service)
KAIST, M.S., CS, 2021
Jaewoong Shin
Research Scientist
at Lunit
(Substitute Military Service)
KAIST, M.S., AI, 2021
Wuhyun Shin
Hyewon Jeong
Ph.D. student
at MIT
KAIST, M.S., CS, 2021
Minyoung Song
KAIST, M.S., AI, 2021
Moonsu Han
Research Scientist
at NCSOFT
Language AI Research
UNIST, M.S., CS, 2019
Divyam Madaan
Ph.D. student
at NYU
KAIST, M.S., CS, 2021