Department of Artificial Intelligence
Jungeun Kim (김정은)
Integrated PhD program
Department of Artificial Intelligence (인공지능대학원), Yonsei University
Undergraduate Major : Mathematics, Statistics
Research Interests : Machine Learning, Deep Learning, Generative Model, Model Compression, Object Detection
LinkedIn : https://www.linkedin.com/in/jungeun-kim-383bb218a/
GitHub : https://github.com/jekim5418
Velog : https://velog.io/@jekim5418
Publication :
- Jungeun Kim†, Junwon You†, Dongjin Lee, Ha Young Kim*, Jae-Hun Jung*, "Do Topological Characteristics Help in Knowledge Distillation?", accepted, International Conference on Machine Learning (ICML 2024), July 2024, [BK+ CS IF=4] .
- Jungeun Kim, Ha Young Kim*, "CSLT-AK: Convolutional-embedded Transformer with an Action Tokenizer and Keypoint Emphasizer for Sign Language Translation," accepted, Pattern Recognition Letters, [IF 2022: 5.1] (SCIE).
- Minchae Kim†, Jungeun Kim†, Ha Young Kim*, "Sign2Gloss2Text-based Sign Language Translation with Enhanced Spatial-temporal Information Centered on Sign Language Movement Keypoints ," Journal of Korea Multimedia Society, vol. 25, no. 10, Oct. 2022(KCI).
- Jungeun Kim†, Jeongeun Park†, Ha Young Kim*, "ADEL: Adaptive Distribution Effective-matching Method for Guiding Generators of GANs", Asian Conference on Computer Vision (ACCV 2022), Dec. 2022.
- Ji Hyun Jang , Jisang Yoon , Jungeun Kim , Jinmo Gu , Ha Young Kim*, "DeepOption: A Novel Option Pricing Framework Based on Deep Learning with Fused Distilled Data from Multiple Parametric Methods ", Information Fusion, volume 70, June 2021, pages 43-59, [IF 2020: 17.564, Rank: 1/109 (COMPUTER SCIENCE, THEORY & METHODS), 4/144 (COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ), IF(%)=0.459 < 1%] (SCIE)
-Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheoyon Jin, Noseong Park, " DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation", AAAI Conference on Artificial Intelligence (AAAI 2021), 2021.
Jongseong Bae (배종성)
Integrated PhD program
Department of Artificial Intelligence (인공지능대학원), Yonsei University
js.bae@yonsei.ac.kr
Undergraduate Major: Statistics
Research Interests: Machine Learning, Deep Learning, Computational Finance
Publication:
- Sangrok Lee†, Jongseong Bae†, Ha Young Kim*, "Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), June 2023, [BK+ CS IF=4] .
- Jongseong Bae, Byung Do Cheon, Ha Young Kim*, "Pro-attention: Efficient Probability Distribution Matching-based Attention through Feature Space Conversion", IEEE Access, vol. 10, Dec. 2022, pages 131192-131201. [IF 2021: 3.476] (SCIE).
Jeongmin Yu (유정민)
MS program
Department of Artificial Intelligence (인공지능대학원), Graduate School of Information, Yonsei University
ujmks7297@gmail.com
Undergraduate major: Computer Science & Engineering
Research Interests : Deep Learning, Computer Vision, Facial Image Analysis, Generative Model
JiHwan Moon (문지환)
MS program
Department of Artificial Intelligence (인공지능대학원), Yonsei University
kumass2021@gmail.com
Undergraduate Major : Computer Engineering
Research Interests : Computer Vision, Reinforcement Learning, Federated Learning
Junwoo Ha (하준우)
Integrated PhD program
Department of Artificial Intelligence (인공지능대학원), Yonsei University
gkwnsdn0402@naver.com
Undergraduate Major: Electronic Engineering
Research Interests: Machine Learning, Deep Learning, Computer Vision, Autonomous Driving