Ha Young Kim

Associate Professor

Graduate School of Information

Yonsei University

SungSoo Kim (김성수)

• Integrated PhD program

• Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University 

• kss8421@yonsei.ac.kr

• Undergraduate major: Computer Science

• Research Interests: Reinforcement Learning, Explainable AI, Financial Data Analysis & Deep Learning

• Publication:

-Sungsoo Kim†, Hyukjae Kwon†,  Jisang Yoon, Ha Young Kim*, "Dynamic Factor-Informed Reinforcement Learning for Enhancing Portfolio Optimization," accepted, Financial Innovation.(SSCI) [IF 2023: 6.9, Rank:9/233(Business, Finance),  IF(%)=3.6 < 5%]
-  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  

• jekim5418@yonsei.ac.kr 

• 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†, Hyeongwoo Jeon†, Jongseong Bae, Ha Young Kim*, "Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] . 

- Jihwan Moon†, Jihoon Park†, Jungeun Kim†,  Jongseong Bae†,  Hyeongwoo Jeon, Ha Young Kim*, "DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model," Pattern Recognition Letters, accepted   [IF 2023: 3.9] (SCIE).

- Kisu Lee†, Jungeun Kim†, Ha Young Kim*, "Data Augmentation with Flickering Backgrounds and Instances for Instance Segmentation," IEEE Access, accepted  [IF 2023: 3.4] (SCIE). 

- Hyorim Shin, Jeongeun Park, Jungmin Yu, Jungeun Kim, Ha Young Kim, Changhoon Oh*, "Looping In: Exploring Feedback Strategies to Motivate Human Engagement in Interactive Machine Learning," accepted, International Journal of Human-Computer Interaction.(SSCI/SCIE).

- Jungeun Kim†, Junwon You†, Dongjin Lee, Ha Young Kim*, Jae-Hun Jung*, "Do Topological Characteristics Help in Knowledge Distillation?", 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  

• kisu0928@yonsei.ac.kr

• Undergraduate major: Mathematics/Management

• Research Interests : Data Analysis, Computational Finance, Machine Learning, Deep Learning

• Publication:

- Kisu Lee, Young Jin Kim,  Minkyoung Kim, Ha Young Kim*, "Hierarchical Multi-modal Fusion Architecture Search for Stock Market Forecasting", Applied Soft Computing, accepted [IF 2023: 7.2, Rank:  16/170 (COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ), IF(%)=9.1 < 10%] (SCIE).

- Jeongmin Yu†, Susang Kim†, Kisu Lee, Taekyoung Kwon, Won-Yong Shin, Ha Young Kim*, "Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] .

- Kisu Lee†, Jungeun Kim†, Ha Young Kim*, "Data Augmentation with Flickering Backgrounds and Instances for Instance Segmentation," IEEE Access, accepted  [IF 2023: 3.4] (SCIE). 

- 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 

• bcheon@yonsei.ac.kr

• Undergraduate major: Physics, Pure Math 

• Research Interests : Financial Data Analysis,  Deep Learning 

• Publication:

- Soyeon Park†, Byungdo Cheon†, Ha Young Kim†,  Heejung Kim*, "Investigated Predictors of Construction Workers Ongoing Fatigue: Random Forest Approach," accepted, Journal of Management in Engineering.(SCIE) [IF 2022: 7.4, Rank:X/XX(Civil Engineering),  IF(%)=4.0 < 5%]
- 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:

-  Jungeun Kim†, Hyeongwoo Jeon†, Jongseong Bae, Ha Young Kim*, "Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] . 

- Jongseong Bae†, Susang Kim†, Ha Young Kim*, "MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers," Pattern Recognition Letters, accepted [IF 2024: 3.3] (SCIE).

- Jeongmin Yu†, Jongseong Bae†, Ha Young Kim*, "HeLPNet: Facial Structure-aware Landmark Coordinate Regression with Heatmap-guided Local Patch Embedding," Neurocomputing, accepted  [IF 2024: 6.5] (SCIE).

- Jihwan Moon†, Jihoon Park†, Jungeun Kim†,  Jongseong Bae†,  Hyeongwoo Jeon, Ha Young Kim*, "DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model," Pattern Recognition Letters, accepted   [IF 2023: 3.9] (SCIE).

- Jongseong Bae†, Junwoo Ha†, Ha Young Kim*, "Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), accepted, June 2025, [BK+ CS IF=4] . 

- 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@yonsei.ac.kr

• Undergraduate Major: Electronic Engineering

• Research Interests: Machine Learning, Deep Learning, Computer Vision, Autonomous Driving

• Publication:

-Jongseong Bae†, Junwoo Ha†, Ha Young Kim*, "Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), accepted, June 2025, [BK+ CS IF=4] . 

Jeongmin Yu (유정민) 

•  Researcher

•  Department of Artificial Intelligence (인공지능대학원), Graduate School of Information, Yonsei University

•  jeongminyu@yonsei.ac.kr 

•  Undergraduate major:  Computer Science & Engineering  

•  Research Interests : Deep Learning, Computer Vision, Facial Image Analysis, Generative Model

• Publication:
  - Jeongmin Yu†, Susang Kim†, Kisu Lee, Taekyoung Kwon, Won-Yong Shin, Ha Young Kim*, "Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] .  

- Jeongmin Yu†, Jongseong Bae†, Ha Young Kim*, "HeLPNet: Facial Structure-aware Landmark Coordinate Regression with Heatmap-guided Local Patch Embedding," Neurocomputing, accepted  [IF 2024: 6.5] (SCIE). 

- Hyorim Shin, Jeongeun Park, Jungmin Yu, Jungeun Kim, Ha Young Kim, Changhoon Oh*, "Looping In: Exploring Feedback Strategies to Motivate Human Engagement in Interactive Machine Learning," accepted, International Journal of Human-Computer Interaction.(SSCI/SCIE).  

  Jinnyeong Heo (허진녕) 

•  MS program

•  Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University

•  wlssud132@yonsei.ac.kr

•  Undergraduate major: Business Administration / AI Convergence

•  Research Interests : Deep Learning, Computer Vision, Data Analysis

• Publication:

-Yeong-In Lee†, Jin Nyeong Heo†, Ji-Hwan Moon†, Ha Young Kim*, "Gaussian Blending: Improved 3D Gaussian Splatting for Model Light-Weighting and Deep Learning-Based Performance Enhancement," Journal of The Korea Society of Computer and Information (한국컴퓨터정보학회논문지), vol. 29, no. 08, August 2024.(KCI).
-  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).

Yeongin Lee (이영인) 

• MS program

• Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University

• zeroin@yonsei.ac.kr

•  Undergraduate major: Business Administration / Visual Media Design 

•  Research Interests : Deep Learning, Computer Vision, Data Analysis

• Publication:

-Yeong-In Lee†, Jin Nyeong Heo†, Ji-Hwan Moon†, Ha Young Kim*, "Gaussian Blending: Improved 3D Gaussian Splatting for Model Light-Weighting and Deep Learning-Based Performance Enhancement," Journal of The Korea Society of Computer and Information (한국컴퓨터정보학회논문지), vol. 29, no. 08, August 2024.(KCI).
-  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).

Jeanho Kim (김진호) 

• MS program

• Major in Business Analytics (비즈니스 빅데이터 분석), Graduate School of Information, Yonsei University

• jeanhokim@yonsei.ac.kr 

•  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@yonsei.ac.kr

•  Undergraduate major: Statistics and Actuarial Science 

•  Research Interests : Machine Learning, Deep Learning, Computer Vision

• Publication:
  - Jungeun Kim†, Hyeongwoo Jeon†, Jongseong Bae, Ha Young Kim*, "Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4] . 

- Jihwan Moon†, Jihoon Park†, Jungeun Kim†,  Jongseong Bae†,  Hyeongwoo Jeon, Ha Young Kim*, "DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model," Pattern Recognition Letters, accepted   [IF 2023: 3.9] (SCIE).

-Ji Hoon Park†, Hyeong Woo Jeon†, Ha Young Kim*, "Depth-GASLT: Gloss-free Sign Language Translation Using Depth Information," JJournal of Korea Multimedia Society (멀티미디어학회논문지), accepted, 2024.(KCI).

Jihoon Park (박지훈) 

•  MS program

•  Major in AI Business Analytics (비즈니스 AI빅데이터 분석), Graduate School of Information, Yonsei University

•  zzang9jihoon@yonsei.ac.kr

•  Undergraduate major: Industrial and Management Engineering 

•  Research Interests : Deep Learning, Natural Language Processing, Data Analytics

• Publication:
  -Jihwan Moon†, Jihoon Park†, Jungeun Kim†,  Jongseong Bae†,  Hyeongwoo Jeon, Ha Young Kim*, "DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model," Pattern Recognition Letters, accepted   [IF 2023: 3.9] (SCIE).

- Ji Hoon Park†, Hyeong Woo Jeon†, Ha Young Kim*, "Depth-GASLT: Gloss-free Sign Language Translation Using Depth Information," JJournal of Korea Multimedia Society (멀티미디어학회논문지), accepted, 2024.(KCI).

Seungjae Park (박승재) 

• MS program

• Department of Artificial Intelligence (인공지능대학원), Yonsei University

• seungjae.park@yonsei.ac.kr

• Undergraduate Major: Information and Communication Engineering

• Research Interests: Deep Learning, Reinforcement Learning, Time Series, Quantitative Finance 

Eunhong Park(박은홍) 

• MS program

• Major in AI Business Analytics (비즈니스 AI빅데이터 분석), Graduate School of Information, Yonsei University

• pehhh03@yonsei.ac.kr

• Undergraduate major : Business Administration

• Research Interests : Deep Learning, Financial Engineering, Data Analysis 

Hyun-woo Kim(김현우) 

• MS program

• Department of Intelligence Convergence (지능융합협동과정), Yonsei University

• hw.kim@yonsei.ac.kr

• Undergraduate major : Department of Electronic and Electric Engineering 

• Research Interests : Deep Learning, Efficient ML, Embedded AI

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 

• Publication:

- Jeongmin Yu†, Susang Kim†, Kisu Lee, Taekyoung Kwon, Won-Yong Shin, Ha Young Kim*, "Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing," International Conference on Computer Vision (ICCV 2025), accepted, [BK+ CS IF=4].

- Jongseong Bae†, Susang Kim†, Ha Young Kim*, "MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers," Pattern Recognition Letters, accepted [IF 2024: 3.3] (SCIE).