ABOUT
I'm an AI engineer at SK Broadband in Seoul.
My research interest lies in the areas of artificial intelligence, computer vision, and knowledge-based reasoning. Specifically, I am interested in how to perceive rich information from the world with limited or multimodal data.
Previously, I was at Visual Information Processing Lab, Seoul National University advised by Prof. Joonseok Lee, studying computer vision. Before that, I received a Master's degree in Artificial Intelligence at Dongguk University(DGU) and Bachelor's degrees in Statistics and Software Convergence at DGU, where I worked with Prof. Jihie Kim.
Research topic
Machine Learning, Knowledge-based reasoning, and Video Understanding
(C: Conference, W: Workshop, J: Journal, P: Preprint)
[J4] MoLEF: A Moment Localization Evaluation Framework
Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Yunjeong Choi, Joonseok Lee
Journal of Machine Learning Research (JMLR), Under review
[C6] Towards a Complete Benchmark on Video Moment Localization
Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Jonghwan Mun, Woo-Young Kang, Byungseok Roh, Joonseok Lee
Artificial Intelligence and Statistics (AISTATS), May 2024
[J3] An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis
Jinyeong Chae, Jihie Kim
Applied Sciences (SCI), Jul 2023
[C5] Type-specific Multi-head Shared-Encoder Model for Commonsense Machine Reading Comprehension
Jinyeong Chae, Jihie Kim
KIISE Korea Computer Congress 2022
An extended version is accepted by Journal of KIISE
[C4] Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base
Jinyeong Chae, Jihie Kim
IEEE International Joint Conference on Neural Networks (IJCNN) 2022, Jul 2022
[J2] Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning
Hojun Lee, Hyunjun Cho, Jieun Park, Jinyeong Chae, Jihie Kim
Sensors Journal (SCI), Feb 2022
[J1] Attentive Transfer Learning via Self-Supervised Learning for Cervical Dysplasia Diagnosis
Jinyeong Chae, Roger Zimmermann, Dongho Kim, Jihie Kim
Journal of Information Processing Systems (SCI), Mar 2021
[C3] An Attention-based Deep Learning Model with Interpretable Patch-Weight Sharing for Diagnosing Cervical Dysplasia
Jinyeong Chae, Ying Zhang, Roger Zimmermann, Dongho Kim, Jihie Kim
Intelligent Systems Conference (IntelliSys) 2021, Sep 2021
[W1] A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation
Jinyeong Chae, Kiyong Hong, Jihie Kim,
AAAI Conference on Artificial Intelligence (AAAI) 2021 Workshop, Feb 2021
[C2] A Dual Attention Network for Skin Lesion Classification
Jinyeong Chae, Hwigeon Kim, Hangseung Yang, Seongjun Park, Dongho Kim, Jihie Kim
KIISE Korea Software Congress 2020, Dec 2020
[C1] A Study of the Dealing with Learning Performance in Imbalanced Data - Oriented in the Voice Analysis of Patients with Parkinson's disease
Jinyeong Chae, Sumin Lee, Yeongjun Hong, Jihie Kim
KIISE Korea Computer Congress 2020
2022: Best Paper Award, Korea Computer Congress, Korea Institute of Information Scientists and Engineers
2022: Research Award, DGU
2021: Outstanding Achievement Scholarship, DGU
2020: Outstanding Achievement Scholarship, DGU
2019: Samsung Software Scholarship, twice
2019: Scholarship by Course (Artificial Intelligence course)
2019: Gold Award in Dongguk Software festival
2019: Excellent Prize in Dongguk ICT FARM Competition
2018: Scholarship by Course (Sample design course)
Deep learning model and medical diagnosis method for image captioning, Mar 2022
Hojun Lee, Hyunjun Jo, Jieun Park, Jinyeong Chae, Jihie Kim
Apparatus and method for answering visual question based on Korean, Feb 2022
Jinyeong Chae, Jihie Kim
Dual pretraining method using Multi-task learning for machine reading comprehension based on commonsense knowledge, Oct 2021
Jinyeong Chae, Jaehyeon Park, Seungook Lim, Jihie Kim
A remote medical assistance diagnosis system based on deep learning for wound care, Jul 2021 [Software program]
Jinyeong Chae, Jihie Kim
Apparatus and method for medical image analysis, Jul 2021
Jinyeong Chae, Jihie Kim
Apparatus and method of analyzing status and change of wound area based on deep learning, Sep 2020, [Issued]
Jinyeong Chae, Jihie Kim, Kiyong Hong
Criminal detection and operation method thereof, Dec 2019, [Issued]
Songhee Kim, Junhyeok Yang, Yongtaek Lee, Jinyeong Chae, Hyojeong Kim, Yeonsun Shin
Exercise posture evaluation device and operation method thereof, Nov 2019, [Issued]
Jinyeong Chae, Sungjin Kim, Taemin Lee, Uijeong Jeong, Jihie Kim
2023.10 - Present: AI Engineer, SK broadband Co., Ltd
2022.01 - 2024: Researcher, Seoul National University, Graduate school of data science (Advisor: Joonseok Lee)
2023.07 - 2023.08: Intern, SK broadband Co., Ltd
2022.02 - 2022.08 : AI Researcher, Okestro, Ltd
2020.03 - 2022.02 : Research Assistant, AIC-DGU Lab, DGU
2020.10 - 2021.03 : Researcher, National University of Singapore, Singapore (Advisor: Roger Zimmermann, Ying Zhang)
2020.09 - 2020.12 : Teaching Assistant, DGU
2020.03 - 2020.06 : Teaching Assistant, DGU
2019.03 - 2019.06 : Mentor of Introduction to artificial intelligence course, DGU
2019.06 - 2019.08: Student Researcher, Purdue University, USA (Advisor: Eric Matson)
Speech of ITRC-AI Graduate School Job FAIR @DGU, 2025
Mentor of Mentoring Career day @DGU, 2025
Journal reviewer, Applied Intelligence(SCI), 2025
Journal reviewer, Journal of Imaging Informatics in Medicine(JDIM), 2025
Technical reviewer, CoLLAs, 2025
Conference reviewer, IJCNN, 2025
Journal reviewer, Applied Intelligence(SCI), 2024
Journal reviewer, Journal of Imaging Informatics in Medicine(JDIM), 2024
Mentor of Mentoring Career day @DGU, 2025,
Mentor of Capstone Design Projects @DGU, 2024
Speech of KSRC Job FAIR @DGU, 2024