Members
Lab Members
Professor
Ha Young Kim
Associate Professor
Graduate School of Information
Yonsei University
Education :
Ph.D. Mathematics, Purdue University, West Lafayette, IN, USA, May 2010
M.S. Mathematics with Computational Finance, Purdue University, West Lafayette, IN, USA, May 2007
B.S. Mathematics, Kyung Hee University, Seoul, Republic of Korea, February 2000
Academic Position :
Vice Dean, Graduate School of Information, Yonsei University, March 2024 - Present
Associate Professor, Graduate School of Information, Yonsei University, September 2022 - Present
Adjunct Professor, Department of Artificial Intelligence, Yonsei University, March 2021 - Present
Faith Advisor (신앙지도교수), Graduate School of Information, Yonsei University, September 2022 - Present
Research Interests :
Multi-modal Deep Learning
Deep Learning, Reinforcement Learning: Deep Learning Acceleration (Knowledge Distillation), XAI, Generative model, Graph Neural Network
Computer Vision
Human Computer Interaction
Computational and Mathematical Finance
Stochastic Processes, Probability Theory
Full-Time Student
SungSoo Kim (김성수)
Integrated PhD program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
Undergraduate major: Computer Science
Research Interests: Reinforcement Learning, Explainable AI, Financial Data Analysis & Deep Learning
Publication:
- Minjae Shin† , Sungsoo Kim† , Youngjin Kim† , Ahhyun Song, Yeeun Kim, Ha Young Kim*, "Development of an HVAC system control method using weather forecasting data with deep reinforcement learning algorithms ," accepted, Building and Environment, [IF 2022: 7.4, Rank:6/139 (Engineering, Civil), IF(%)=4.0 < 5%] (SCIE).
- Sungsoo Kim†, Jeongeun Park†, Donguk Yang, Dongyup Shin, J. Kim, H. Erick Ryu, Ha Young Kim*, "Ultra-lightweight face activation for dynamic vision sensor with convolutional filter-level fusion using facial landmarks", Expert Systems With Applications, Vol. 205, Nov. 2022, 11779. [IF 2021: 8.665, Rank:23/276 (ENGINEERING, ELECTRICAL & ELECTRONIC), IF(%)=8.152 < 10%] (SCIE).
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", accepted, Asian Conference on Computer Vision (ACCV), Dec. 2022, [BK+ CS IF=1].
- 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 2021
Kisu Lee (이기수)
Integrated PhD program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
Undergraduate major: Mathematics/Management
Research Interests : Data Analysis, Computational Finance, Machine Learning, Deep Learning
Publication:
-Jeongeun Park†, Kisu Lee†, Ha Young Kim*, "Integrated recognition assistant framework based on deep learning for autonomous driving: Human-like restoring damaged road sign information," accepted, International Journal of Human-Computer Interaction, [IF 2021: 4.920, Rank:2/16 (ERGONOMICS), IF(%)=9.375 < 10%] (SSCI/SCIE).
- Kisu Lee, Sanghyo Lee *, Ha Young Kim*, "Deep Learning-Based Defect Detection Framework for Ultra High Resolution Images of Tunnels", Sustainability, vol. 15, no. 2, Jan 2023, 1292 [IF 2021: 3.889] (SCIE).
- Kisu Lee, Sanghyo Lee *, Ha Young Kim*, "Bounding-box Object Augmentation with Random Transformations for Automated Defect Detection in Residential Building façades", Automation in Construction, vol. 135, March 2022, 104138 [IF 2021: 10.517, Rank: 1/138 (ENGINEERING, CIVIL), IF(%)=0.362 < 1%] (SCIE).
- Kisu Lee, Goopyo Hong, Sael Lee, Sanghyo Lee *, Ha Young Kim *, "MultiDefectNet: Multi-class Defect Detection of Building Façade based on Deep Convolutional Neural Network, Sustainability 2020, 12(22), 9785 [IF 2019: 2.576] (SCIE, SSCI)
- Kisu Lee, Sanghyo Lee , Ha Young Kim *, "Accelerating multi-class defect detection of building façades using knowledge distillation of DCNN-based model", accepted, International Journal of Sustainable Building Technology & Urban Development, 2021. (SCOPUS)
ByungDo Cheon (전병도)
PhD program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
bydoc314@gmail.com
Undergraduate major: Physics, Pure Math
Research Interests : Financial Data Analysis, Deep Learning
Publication:
- 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)
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)
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
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
Hyukjae Kwon (권혁재)
MS program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
kwon991015@naver.com
Undergraduate major: Information management and system
Research Interests : Computational Finance, Deep Learning, Financial Data Analysis, NLP
Publication:
- Jean Ho Kim†, Hyuk Jae Kwon†, Ha Young Kim*, "MPC-TimesNet: Time-series Long-term Forecasting Air Pollution with Multiple Periodicity Consideration Model," Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 6, Dec. 2023.(KCI).
- Hyuk-Jae Kown†, Minchae kim†, Ha Young Kim*, "DTD Transformer-MAF: Estimating the long-term exchange rates with emphasis on various contextual information at adjacent points in time," Forthcoming, Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 4, pp. 141-155, Aug. 2023.(KCI).
Jinnyeong Heo (허진녕)
MS program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
wlssud132@gmail.com
Undergraduate major: Business Administration
Research Interests : Deep Learning, Computer Vision, Data Analysis
Publication:
- Jin Nyeong Heo†, Yeong-In Lee †, Ha Young Kim*, "Pothole Detection Using Deep Learning and Domain-Based Image Preprocessing Methods," Forthcoming, Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 5, Oct. 2023.(KCI).
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
Youngin Lee (이영인)
MS program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
annmismatch@gmail.com
Undergraduate major: Business Administration / Visual Media Design
Research Interests : Deep Learning, Computer Vision, Data Analysis
Publication:
- Jin Nyeong Heo†, Yeong-In Lee †, Ha Young Kim*, "Pothole Detection Using Deep Learning and Domain-Based Image Preprocessing Methods," Forthcoming, Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 5, Oct. 2023.(KCI).
Jinho Kim (김진호)
MS program
Major in Digital Business and Management (디지털경영), Graduate School of Information, Yonsei University
jdanielkim9710@gmail.com
Undergraduate major: Quantitative Risk Management
Research Interests : Financial Engineering, Financial data analysis, Deep Learning, Machine Learning
Publication:
- Jean Ho Kim†, Hyuk Jae Kwon†, Ha Young Kim*, "MPC-TimesNet: Time-series Long-term Forecasting Air Pollution with Multiple Periodicity Consideration Model," Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 6, Dec. 2023.(KCI).
HyeongWoo Jeon (전형우)
MS program
Major in AI Business Analytics (비즈니스 AI빅데이터 분석), Graduate School of Information, Yonsei University
hyeong1204@naver.com
Undergraduate major: Statistics and Actuarial Science
Research Interests : Machine Learning, Deep Learning, Computer Vision
Jihoon Park (박지훈)
MS program
Major in AI Business Analytics (비즈니스 AI빅데이터 분석), Graduate School of Information, Yonsei University
zzang9jihoon@naver.com
Undergraduate major: Industrial and Management Engineering
Research Interests : Deep Learning, Natural Language Processing, Data Analytics
Part-Time Student
Gun-gil Lee (이건길)
PhD program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
laboss@yonsei.ac.kr
Master major: Management Information System (Data Mining)
Research Interests: Data Science, Machine Learning, Deep Learning, Data Modeling, Data driven Game Design
Susang Kim (김수상)
PhD program
Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University
Work in Industrial AI Research, POSCO ICT
healess1@gmail.com
Master major: Innovation and Technology Management
Undergraduate major: Computer Science & Engineering
Research Interests: Deep Learning, Computer Vision, Model Compression
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(민수기 6장 24:26)