Jongwon Jeong
CV / GoogleScholar / Github / LinkedIn
Deep Learning Engineer at KRAFTON.
Contact
Email: jsjsjs964@gmail.com (Permanent), jwjeong@krafton.com
Biography
Hello. I am a deep learning research engineer at KRAFTON. Before joining KRAFTON, I was an AI researcher at Applied AI Lab, NLP Center in NCSOFT Corp. I received B.S. and M.S. degrees in Electrical Engineering (EE) from Korea Advanced Institute of Science and Technology (KAIST) in 2018 and 2020, respectively, supervised by Prof. Sae-Young Chung.
My research interests lie in Data-centric AI for safe, practical, and efficient deep-learning models. Lately, I have been focusing on developing algorithms to refine data for various models, such as Large Language Models (LLMs), Graph Neural Networks (GNNs), Recommender Systems (RS), and so on.
Research Interest
Data-centric AI and Large Language Models (LLMs).
Other models, including Graph Neural Networks (GNNs), Recommender Systems (RS), and so on.
Publications
iGraphMix: Input Graph Mixup Method for Node Classification
Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon, Beomyoung Lee, Junhee Heo, Geonsoo Kim, Kim Jin Seon
International Conference on Learning Representations (ICLR) 2024.Human-like Evaluation Paradigms for Post-hoc Explanation Method Using Masked Language Model
Vinnam Kim*, Jongwon Jeong*, Hyunsouk Cho, and Jeong Choi (*: Equally Contributed)
Preprint, 2023.FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation
Jongwon Jeong, Jeong Choi, Hyunsouk Cho, and Sehee Chung
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2022, 36(4), 4039-4047.
Educations
M.S. in Electrical Engineering, KAIST, Aug. 2018 - Aug. 2020.
B.S. in Electrical Engineering (Cum Laude), KAIST, Mar. 2014 - Aug. 2018.
Korea Science Academy, Mar. 2011 - Feb. 2014.
Work Experience
KRAFTON Inc.,Oct.2023 - Present.
Deep Learning Research Engineer at NLP Team., Applied DL Dept., Deep Learning Div. (Full-time)NCSOFT Corp., Aug. 2020 - Oct. 2023.
AI Researcher at Applied AI Lab., NLP Center. (Full-time)Koh Young Technology, Mar. 2017 - Aug. 2017.
Research Intern at Medical Vision Team. (KAIST EE Co-op Program)
Honors
Graduation with Honors (Cum Laude), KAIST, Aug. 2018.
National Science & Engineering Scholarship, Mar. 2016 - Mar. 2018.