- 2016.3 - Present Combined(M.S. & Ph.D.) (Dept. of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea
- 2012.3 - 2016.2 B.S. (Dept. of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea
- Computer Vision
- Few-shot learning
- Representation learning
- Hyoungseob Park, Minki Jeong, Youngeun Kim, and Changick Kim, "Self-Training of Graph Neural Networks using Similarity Reference for Robust Training with Noisy Labels", Accepted to The 27th IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, Oct. 22-28, 2020.
- Jaehoon Choi, Minki Jeong, Taekyung Kim, and Changick Kim, "Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation," British Machine Vision Conference (BMVC), Cardiff, UK, Sep. 9-12, 2019.
- Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, and Changick Kim, "Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection," in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, Jun. 16-20, 2019.
- Minki Jeong and Changick Kim, "Effect of Using Object Shape Prior on Visual Object Shape Prior on Visual Object Counting," in Proc. IEEE International Conference on Visual Communications and Image Processing, Taichung, Taiwan, Dec. 9-12, 2018.
- Minki Jeong and Changick Kim, "Depth estimation from a single image with a communication module between global network and local network", in Proc. International Conference on 3D Systems and Applications (3DSA), Busan, Korea, Aug. 28-31, 2017.
- 정민기, 김창익, "저랭크 근사를 활용한 파라미터 효율적인 캡슐 네트워크", 제29회 신호처리합동학술대회, 대전, 대한민국, Sep. 26-27, 2019. 15-17