Jeeon Bae | CV

About Me

Hi, I’m Je-Eon Bae, a Ph.D.student in Artificial Intelligence at POSTECH.

I am passionate about using machine learning to maximize economic and societal value. To achieve this goal, I am researching ways to make machine learning more user-friendly and practical so that people from all walks of life can benefit from its potential.

Currently, my research is focused on two specific areas: Data-efficient Learning and Interpretable neural networks.

Experience

ML Lab

Undergraduate Lab Intern

January 2023 - June 2023

https://ml.postech.ac.kr/

Under the supervision of Prof.Namhoon Lee, I interned at the Machine Learning Lab, POSTECH.

MLVC Lab

Undergraduate Lab Intern

January 2022 - December 2022

https://mlvc.khu.ac.kr/

Under the supervision of Prof.Sungho Bae, I interned at the Machine Learning and Visual Computing Lab, Kyung Hee university.

Education

Kyung Hee University

Industrial Engineering & Software Engineering (GPA: 4.22/4.5)

March 2017 - June 2023

While I was an undergraduate student at Kyung Hee University, I earned a dual degree in Industrial Engineering and Software Engineering.

POSTECH

Artificial Intelligence

July 2023 - Present

https://ml.postech.ac.kr/

Under the supervision of Prof.Namhoon Lee, I am currently in a Ph.D. & Combined program at POSTECH.

Publications

Jeeon Bae, Sungbin Shin, Namhoon Lee, Semi-supervised Concept Bottleneck Models, ICML 2023 Workshop on AI HCI
Jeeon Bae, Two-Stage Test Time Intervention for Korean OCR Models, KCC 2023. Excellent Paper Award
Jeeon Bae, Daeho Lee, Semi-Supervised Object Detection with Flexible EMA, KCC 2023. Best Paper Award
Jeeon Bae, Sungho Bae, Adaptive Regularization Loss for Improving Quality of Pseudo-label in Class Imbalanced Semi-Supervised Learning, KSC 2022. Excellent Paper Award
Jeeon Bae, Sungho Bae, Imbalance Loss with the Statistical Properties of Pseudo-labels in Class Imbalanced Semi-Supervised Learning, KSC 2022.
Jeeon Bae, Hyundong Cho, Chanmi Park, SungHo Bae, WonHee Lee. Dataset Condensation with Gradient Matching Considering Model Biased Noise, KCC 2022. Excellent Paper Award

Honors and Awards

2017 SK Startup Club Contest Encouragement Award
2020 Kyung Hee University Software Idea Contest Encouragement Award
2020 Academic Excellence Award
2021 Academic Excellence Award
2022 Kyung Hee University Data Analysis Competition 1th place
2022 Kyung Hee University AI Competition 4th place
2022 Korea Software Conference Excellent Paper Award
2022 Korea Computer Science Conference Excellent Paper Award
2022 Kyung Hee University Software Mileage Contest Gold Prize
2022 Kyung Hee University Scholarship for Outstanding Activities
2023 Korea Computer Science Conference Excellent Paper Award
2023 Korea Computer Science Conference Best Paper Award

Patents

Applied for a patent for the alarm device, ALARM DEVICE THAT DO NOT DISTURB OTHERS on August 9, 2017.