I am a PhD student at Korea Advanced Institute of Science and Technology (KAIST) advised by Professor Jaegul Choo. I am mainly interested in robustness of AI, previously focused on debiasing and addressing domain shifts in image classification.
[Apr 2023] I finished my internship at Qualcomm Korea.
[Feb 2023] Our "EcoTTA" paper was accepted at CVPR 2023.
[Nov 2022] Our "BiasEnsemble" paper was accepted as oral presentation at AAAI 2023.
[Oct 2022] I started my internship at Qualcomm Korea.
[Aug 2022] I finished my internship at AI Lab, Kakao Enterprise.
[April 2022] Our "DASH" paper was accepted at EuroVis 2022 (Short paper).
[Oct 2021] Our "Inter-Prototype (Face)" paper was accepted at BMVC 2021.
[Sep 2021] Our "Debiasing" paper was accepted as oral presentation at NeurIPS 2021.
[July 2021] Our "SML" paper was accepted as oral presentation at ICCV 2021.
[Aug 2021] I started my internship at AI Lab, Kakao Enterprise.
[Jan 2021] Our "Image-Batch-Labeling" paper was accepted at CSCW 2021.
[June 2019] Our "Lily" paper was accepted at CSCW 2019.
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization.
Junha Song, Jungsoo Lee, In So Kweon, and Sungha Choi.
CVPR 2023
[Arxiv]
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation.
Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-jin Choi, and Jaegul Choo.
EuroVis 2022 (Short paper)
Love in Lyrics: An Exploration of Supporting Textual Manifestation of Affection in Social Messaging
Taewook Kim, Jungsoo Lee, Zhenhui Peng, and Xiaojuan Ma
CSCW 2019
[ACM DL]