Publications

Lab Publications

International Journals and Conferences :

(J: Journal, C: Conference, * :corresponding author, † : co-first author )

- [C11] 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] .  

- [C10] Jeongeun Park, Hyorim Shin, Changhoon Oh, Ha Young Kim*, "“Is Text-Based Music Search Enough to Satisfy Your Needs?” A New Way to Discover Music with Images ", accepted, ACM Conference on Human Factors in Computing Systems  (CHI 2024),   May 2024, [BK+ CS IF=4] . 

- [J41] Hyunju Ji,  Eui Geum Oh, Mona Choi, Ha Young Kim, Young Ah Kim, Kyung Hee Lee*, "Nursing diagnoses as factors associated with delirium among intensive care unit patients with sepsis: A retrospective correlational study," accepted, Journal of Advanced Nursing, [IF 2022: 3.8,  Rank:11/125 (Nursing), IF(%)=8.4 < 10%] (SCIE/SSCI). 

- [J40] 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 ," Building and Environment, vol. 248, Jan. 2024 [IF 2022: 7.4,  Rank:6/139 (Engineering, Civil), IF(%)=4.0 < 5%] (SCIE). 

- [J39] Jungeun Kim, Ha Young Kim*, "CSLT-AK: Convolutional-embedded Transformer with an Action Tokenizer and Keypoint Emphasizer for Sign Language Translation," Pattern Recognition Letters, vol. 173, Sep. 2023, pages 115-122 [IF 2022: 5.1] (SCIE). 

- [J38] Jeongeun Park†, Hyunmin Kang†, Ha Young Kim*, "Human, do you think this painting is the work of a real artist?," accepted, International Journal of Human-Computer Interaction, [IF 2021: 4.920, Rank:2/16 (ERGONOMICS),  IF(%)=9.375 < 10%] (SSCI/SCIE).

- [J37] 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).

- [J36] Jeongeun Park†, Minchae Kim†, Ha Young Kim*, "Image is All for Music Retrieval: Interactive Music Retrieval System Using Images with Mood and Theme Attributes," accepted, International Journal of Human-Computer Interaction, [IF 2021: 4.920, Rank:2/16 (ERGONOMICS),  IF(%)=9.375 < 10%] (SSCI/SCIE).

- [C9] 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, h5-index=389] . 

- [J35] Jeongeun Park, Donguk Yang, Ha Young Kim*, "Text mining-based four-step framework for smart speaker product improvement and sales planning", Journal of Retailing and Consumer Services, vol. 71, March 2023, 103186.  [IF 2021: 10.972] (SSCI). 

- [J34] 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).

-  [J33]  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).

- [C8] 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, [BK+ CS IF=1] . 

- [J32] Jeongeun Park, Jinmo Gu, Ha Young Kim*, "“Do not deceive me anymore!” Interpretation through model design and visualization for Instagram counterfeit seller account detection", Computers in Human Behavior, Vol. 137, Dec. 2022, 107418.  [IF 2021: 8.957, Rank:3/90 (PSYCHOLOGY, EXPERIMENTAL),  IF(%)=2.778 < 3%] (SSCI). 

- [J31] 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). 

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- [J30] Dong Uk Yang, Byeol Kim, Sang Hyo Lee, Yong Han Ahn, Ha Young Kim*, "AutoDefect: Defect text classification in residential buildings using a multi-task channel attention network", Sustainable Cities and Society, Vol. 80, May 2022, 103803 [IF 2021: 10.696, Rank:  2/68 (CONSTRUCTION & BUILDING TECHNOLOGY), IF(%)=2.206 < 5%] (SCIE).

- [J29] 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).

- [J28] Hyun Kyu Shin, Ha Young Kim, Sang Hyo Lee*, "Convolutional Neural Network-Based Regression for Predicting the Chloride Ion Diffusion Coefficient of Concrete", Computers, Materials and Continua (CMC), Vol.70, No.3, pages 5059-5071, March 2022 [IF 2021: 3.860] (SCIE)

- [J27] Jeongeun Park, Hyunjae Lee, Ha Young Kim*, "Risk factor recognition for automatic safety management in construction sites using fast deep convolutional neural networks", Applied Sciences, 2022, 12(2), 694 [IF 2021: 2.838] (SCIE)..

- [J26] Hyun Jun Park†, Youngjun Kim†,  Ha Young Kim*, "Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework", Applied Soft Computing, volume 114, Jan 2022, 108106 [IF 2021: 8.263, Rank:  11/113 (COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ), IF(%)=9.292 < 10%] (SCIE).

- [J25] Dongyup Shin, Hye Jin Kam, Min-Seok Jeon, Ha Young Kim*, "Automatic Classification of Thyroid Findings Using Static and Contextualized Ensemble Natural Language Processing Systems: Development Study", JMIR medical informatics, 2021;9(9):e30223 [IF 2021: 3.228] (SCIE).

- [J24] Jinmo Gu†, Jinhyuk Na†, Jeongeun Park, Ha Young Kim*, "Predicting Success of Outbound Telemarketing in Insurance Policy Loans Using an Explainable Multiple-Filter Convolutional Neural Network", Applied Sciences, 2021, 11(15), 7147 [IF 2021: 2.838] (SCIE).

- [J23] Byungkon Kang †, Jisang Yoon †, Ha Young Kim †, Sung Jin Jo , Yourim Lee , Hye Jin Kam *, "Deep-learning-based Automated Terminology Mapping in OMOP-CDM", Journal of the American Medical Informatics Association (JAMIA), 28(7), 2021, pages 1489-1496 [IF 2021: 7.942, Rank:  5/109 (HEALTH CARE SCIENCES & SERVICES), IF(%)=4.128 < 5%]  (SCIE, SSCI).

- [J22] Kisu Lee, Sanghyo Lee , Ha Young Kim *, "Accelerating multi-class defect detection of building façades using knowledge distillation of DCNN-based model", International Journal of Sustainable Building Technology & Urban Development, volume 12, issue 2, June 2021, pp. 80-95. (SCOPUS)

- [J21] Donguk Yang†, Byeol Kim† and Ha Young Kim *, "Automated defect classification in the maintenance phase using a channel attention-based convolutional neural network model of natural language processing", International Journal of Sustainable Building Technology & Urban Development, volume 12, issue 2, June 2021, pp. 96-109. (SCOPUS)

- [J20] 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)

- [J19] H.K. Shin, S.W. Lee, G. P. Hong, S. Lee, S.H. Lee, Ha Young Kim*, "Defect-Detection Model for Underground Parking Lots Using Image Object-Detection Method", Computers, Materials and Continua (CMC), vol. 66, no.3, pp. 2493-2507, 2021 [IF 2020: 3.772] (SCIE)

- [J18] Hyun Kyu Shin, Yong Han Ahn, Sang Hyo Lee *, Ha Young Kim*, "Automatic Concrete Damage Recognition Using Multi-Level Attention Convolutional Neural Network", Materials, 2020, 13(23), 5549,[IF 2020: 3.623, Q1] (SCIE)

- [J17] 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 2020: 3.251] (SCIE, SSCI)

- [J16] J. Leem, Ha Young Kim*, "Action-Specialized Expert Ensemble Trading System with Extended Discrete Action Space Using Deep Reinforcement Learning", PLoS ONE, 15(7):e0236178,papes 1-39, 2020. [IF 2020: 3.240] (SCIE)

- [J15] S. W. Lee, Ha Young Kim*, "Stock Market Forecasting with Super-High Dimensional Time-Series Data Using ConvLSTM, Trend Sampling, and Specialized Data Augmentation", Volume 161, 15 December 2020, 113704, pages 1-19, Expert Systems With Applications. [IF 2019: 5.452, Rank:2/83 (OPERATIONS RESEARCH & MANAGEMENT SCIENCE),  IF(%)=1.807 < 2%] (SCIE).  

- [J14] S. Lee, Y.H. Ahn, Ha Young Kim*, "Predicting Concrete Compressive Strength using Deep Convolutional Neural Network based on Image Characteristics", Computers, Materials and Continua (CMC), Vol.65, No.1, pages 1-17, 2020 [IF 2020: 3.772] (SCIE)

- [J13] B. R. Kang, H. Lee, K. Park, H. Ryu, Ha Young Kim*, "BshapeNet: Object Detection and Instance Segmentation with Bounding Shape Masks", [Code], [Cityscapes results], Pattern Recognition Letters, Volume 131, March 2020, pages 449-455, [IF 2019: 3.255] (SCIE)

- [J12] H.K. Shin, Y.H. Ahn, S. Lee, Ha Young Kim*, "Digital Vision Based Concrete Compressive Strength Evaluating Model with Deep Convolutional Neural Network", Computers, Materials and Continua (CMC), vol. 61, no. 3, 2019 [IF 2019: 4.890, Q1] (SCIE)

- [J11] T. Kim, Ha Young Kim*, "Optimizing Pairs Trading Strategy Using Deep Reinforcement Learning with Various Trading and Stop-Loss Boundaries", Complexity, vol. 2019, Article ID 3582516, 20 pages, Nov. 12, 2019.[IF 2019: 2.462] (SCIE)

- [C7] Y. Lee et al., "Development of a Deep Learning-Based Automated Mapping Tool in the Conversion Process of OMOP-CDM", 2019 OHDSI (Observational Health Data Sciences and Informatics) Symposium.[poster], [handout]

- [J10] T. Kim, Ha Young Kim*, "Forecasting Stock Prices with a Feature Fusion LSTM-CNN Model Using Different Representations of the Same Data" , PLoS ONE 14(2): e0212320, Feb.15, 2019.[IF 2019: 2.740] (SCIE)

- [J9] Y. Jang, Y.H. Ahn, Ha Young Kim*, "Estimating the Compressive Strength of Concrete using Deep Convolutional Neural Networks with Digital Microscope Images", Journal of Computing in Civil Engineering, vol. 33, issue 3, May 2019, [IF 2019: 2.979, Q1] (SCI)

- [J8] G. Jeong, Ha Young Kim*, "Improving Financial Trading Decisions Using Deep Q-learning: Predicting the Number of Shares, Action Strategies, and Transfer Learning", Volume 117, March 2019, 125-138, Expert Systems With Applications. [IF 2019: 5.452, Rank:2/83 (OPERATIONS RESEARCH & MANAGEMENT SCIENCE),  IF(%)=1.807 < 2%] (SCIE).  

- [J7] Y. Baek, Ha Young Kim*, "ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module", Volume 113, 457-480, Expert Systems With Applications, Dec. 2018. [IF 2018: 4.292, Rank:7/84 (OPERATIONS RESEARCH & MANAGEMENT SCIENCE),  IF(%)=7.738 < 10%] (SCIE).  

- [J6] Ha Young Kim*, C.H. Won, "Forecasting the Volatility of Stock Price Index: A Hybrid Model Integrating LSTM with Multiple GARCH-Type Models", Expert Systems With Applications, Volume 103, 25-37, August 2018. [IF 2018: 4.292, Rank:7/84 (OPERATIONS RESEARCH & MANAGEMENT SCIENCE),  IF(%)=7.738 < 10%] (SCIE).  

- [J5] Y. Kim, J-H Roh, Ha Young Kim*, "Early Forecasting of Rice Blast Disease using Long Short-Term Memeory Recurrent Neural Networks", Sustainability, Volume 10, Issue 1, 34, Dec. 2017. [IF 2017: 2.075] (SSCI, SCIE)

- [J4] S. H. Lee, Ha Young Kim*, H. K. Shin, Y. J. Jang, Y. H. Ahn*,  ”Introducing a Model for Evaluating Concrete Structure Performance Using Deep Convolutional Neural Network”, International Journal of Sustainable Building Technology & Urban Development, Volume 8, No. 3, 285-295, Sept. 2017. (SCOPUS)

- [J3] H. J. Kam, Ha Young Kim*, ”Learning Represenations for the Early Detection of Sepsis with Deep Neural Networks”, Computers in Biology and Medicine, Volume 89, 248-255, Oct. 2017. [IF 2017: 2.115, Q1] (SCI)

- [C6] K. J. Part et al., ”Performance Improvement of Deep Learning Based Gesture Recognition Using Spatiotemporal Demosaicing Technique”, IEEE International Conference of Image Processing(ICIP) 2016.

- [C5] J. Lee, H.J. Kam, H-Y Kim, S. Yoo, K-G Woo, Y-H Choi J.E. Park, S.J. Cho, ”Prediction of 4 year risk for Coronary Artery Calcification using Ensemble-based Classification”, IEEE Engineering in Medicine and Biology Society (EMBS) Conference, 2013.

- [C4] H-Y Kim, H.J. Kam, J. Lee, S. Yoo, K-G Woo, J.S. Noh, S. Yoo ,”Monitoring for Disease Progression Via Mathematical Time-Series Modeling: Actigraphy-based Monitoring Patients with Depressive Disorder”, IEEE Consumer Communications and Networking Conference(CCNC) , 56-61, 2013.

- [C3] H-Y Kim, S. Yoo, J. Lee, H.J. Kam,K-G Woo, Y-H Choi, J. Sung, M. Kang, ”Identifying Relatively High-Risk Group of Coronary Artery Calcification Based on Progression Rate: Statistical and Machine Learning Methods”, IEEE Engineering in Medicine and Biology Society(EMBS) Conference , 2202-2205, 2012.

- [C2] H.J. Kam, H-Y Kim, S.Yoo, J. Lee, K-G Woo, Y-H Choi, J. Sung, S.W. Cho, ”Comparing Statistical and Data Mining Approaches to Classify 4-year Risk for Progression of Coronary Artery Calcification in Men”, Proceedings of the American Medical Informatics Association (AMIA) 2012 Annual Symposium.

- [C1] S. Yoo, J. Lee, H-Y Kim, H.J. Kam, K-G Woo, Y-H Choi, H.Y. Shin, M. Kang, ”Prediction of Carotid Artery Stenosis using Ensemble-based Classification”, Proceedings of the American Medical Informatics Association (AMIA) 2012 Annual Symposium.

- [J2] Ha Young Kim, F. Viens*, ”Portfolio Optimization with in Discrete Time with Proportional Transaction Costs under Stochastic Volatility”, Annals of Finance, Volume 8, Issue 2, 405-425, May 2012. (ESCI, SCOPUS)

- [J1] Ha Young Kim, A. Vizcarra, F. Viens*, ”Lyapunov Exponents for Stochastic Anderson Models with Non-Gaussian Noise”, Stochastics and Dynamics, 8 no. 3, 451-473, Sep. 2008 (SCIE)

Domestic Journals :

- 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).

- Jin Nyeong Heo†, Yeong-In Lee†, Ha Young Kim*, "Pothole Detection Using Deep Learning and Domain-Based Image Preprocessing Methods," Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 5, Oct. 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," Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 4, pp. 141-155, Aug. 2023.(KCI).

- Young-jin Kim, Ha-young Kim*, "Stock index probabilistic distribution forecasting using a diffusion model to reflect the volatility of long-term sequences (장기 변동성을 반영하기 위한 확산 모델을 활용한 주가 지수 확률 분포 예측)", Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 18, no. 1, pp. 141-155, Feb. 2023.(KCI).

- Minchae Kim†, Jungeun Kim†, Ha Young Kim*, "Sign2Gloss2Text-based Sign Language Translation with Enhanced Spatial-temporal Information Centered on Sign Language Movement Keypoints (수어 동작 키포인트 중심의 시공간적 정보를 강화한 Sign2Gloss2Text 기반의 수어 번역), " Journal of Korea Multimedia Society (멀티미디어학회논문지), vol. 25, no. 10, pp. 1535-1546, Oct. 2022(KCI). 

- Young-jin Kim, Hyun-jae Lee, and Ha-young Kim*, "A graph attention network-based heart disease prediction model for reflecting high-order representations between patients (환자 간 고차원적 표현을 반영한 그래프 어텐션 신경망 기반 심장 질환 예측 모델)", Journal of Knowledge Information Technology and Systems (한국지식정보기술학회 논문지), vol. 17, no. 4, pp. 767-783, Aug. 2022(KCI)

- Minkyoung Kim†, Sujeong Hwang†, Ha Young Kim*, "Time Series Decomposition and Hybrid RNN-Based Spread Prediction: Focused on the International Energy Futures Market (시계열 분해와 하이브리드 순환신경망 기반 스프레드 예측: 국제 에너지 선물 시장을 중심으로)", THE KOREAN JOURNAL OF FINANCIAL MANAGEMENT (재무관리연구),  vol. 40, no 1, Aug. 2022. (KCI)

- Jeong-Eun Park, Dong-UK Yang, Ha Young Kim*, "Exploring user experience factors through generational online review analysis of AI Speakers", Journal of The Korea Convergence Society, vol. 12, no 7, pp. 193-205, July 2021. (KCI)

- Jeong-Eun Park, Ha Young Kim*, "Detecting counterfeit sales posts on Instagram using deep convolutional neural network", Journal of Digital Contents Society, vol. 22, no 2, pp. 339-346, Feb. 2021. (KCI)

- 김하영, 구형건, 임준범, 정계은, 유재인*, "멀티태스킹 딥러닝을 사용한 다중요인모형의 주식시장 인덱스 예측 (Application of Multifactor Model to Stock Market Index Prediction using Multi-Task Deep Learning)", 재무관리연구, 2018년 12월 35권 제4호, (KCI), 한국재무관리학회, 남곡학술상 최우수논문상 수상

- H. Go, Ha Young Kim, J. Yoo, "한국 금융 산업의 상호연계성에 관한 연구 (Investigation on the Interconnectivity in the Korean Financial Industry)", 금융안정연구(Financial Stability Studies), 2018년 12월 제19권 제2호(KCI)

- Y. Jang, Y.H. Ahn, J. Yoo, Ha Young Kim*, "Image based Concrete Compressive Strength Prediction Model Using Deep Convolutional Neural Network" , Korea Institute of Construction Engineering and Management (KJCEM), 19. 4, 043~051, July 2018. (KCI), 심층 컨볼루션 신경망을 활용한 영상 기반 콘크리트 압축강도 예측 모델, 한국건설관리학회 논문집 제19권 제4호 2018년 7월 (KCI)

Korea Conference :

-  Jin-Nyeong Heo, Yeong-in Lee, JiHwan Moon, Gunwoo Noh, Ha Young Kim*, "Accelerating Real-Time Radiance Field Rendering Using Gaussian Point Merge in 3D Gaussian Splatting (3D Gaussian Splatting 방법론을 이용한 실시간 3차원 공간 구현 가속화", 한국전산구조공학회 정기학술 대회 (COSEIK Annual Conference 2024) , April. 2024.

-  Hyunjoo Jang, Jungeun Kim, Won-Yong Shin, Ha Young Kim*, "Exploring Sign Language Translation Using Multi-View Features, 한국통신학회 동계종합학술발표회 (KICS Winter conference 2024) , Feb. 2024.

- Haesung Park, Won-Yong Shin, Ha Young Kim*, "A Graph-Based Generative Diffusion Method for Traffic Flow Forecasting, 한국통신학회 추계종합학술발표회 (KICS Fall conference 2023) , Nov. 2023.

- 김하영, 구형건, 유재인, " 머신러닝을 이용한 S&P500 지수 평균 수익률 예측에 대한 연구", 한국금융공학회 하반기 정기학술대회, 2016.

Issued Patents (등록 특허) :

19).  감혜진, 김하영, 김수진, " 학습 알고리즘 기반의 불면증 치료 서비스를 제공하는 장치,", KR, 10-2611534, 2023-12-04.

18).  임진환, 김하영, 신동엽, "앙상블 분류모델을 이용한 검진데이터 분류장치 및 분류방법", KR, 10-2575752, 2023-09-01.

17). 김하영, 윤지상, 김성수, 채승호, "실내외 환경 변화 예측을 이용한 냉난방 자동 제어 방법 및 장치", KR,  10-2520715, 2023-04-06.

16). 김하영, 양동욱, "다중 작업 채널 어텐션을 이용한 건물 하자 분류 방법 및 장치", KR, 10-2501730, 2023.02.15.

15). 감혜진, 김하영, 강병곤, 조수연, 박애란, 이유림, "위계정보를 이용한 표준화된 용어 추천 방법 및 장치", KR, 10-2479677, 2022-12-16.

14). 감혜진, 김하영, 김수진, "불면증 치료방법", KR, 10-2478102, 2022-12-12.

13).  김하영, 김남길, 강바롬, 염겨레, 임준범, 장지현, 정계은, "학습 모델 생성 장치 및 방법", KR, 10-2333730, Nov. 26, 2021.

12). Hyunku Lee, Hyunsurk Ryu, Ha Young Kim, Barom Kang, "Convolutional Neural Network for Object Detection", US11100352, August 24, 2021 ,

11). Won Sik Kim, Ha Young Kim, Hye Jin Kam, Hyo A Kang, Joo Hyuk Jeon, Seung Chul Chae, Seung Woo Ryu, "Computer-aided diagnosis apparatus and computer-aided diagnosis method ",  US11100645, August 24, 2021 

10). 손경아, 김하영, 강병곤, "대용량 네트워크를 압축하기 위한 방법 및 장치", KR, 10-2199484, Dec. 30 2020.

9). Hyoa Kang, Ha Young Kim, "Model Training Method and Apparatus, and Data Recognizing method", US10410114, 2019-09-10. 

8). Baek Hwan Cho, Seong Yeong Kyeong, Ye Hoon Kim, Ha Young Kim, Joo Hyuk Jeon, "Apparatus and Method for Visualizing Anatomical Elements in a Medical Image", EP2922025B1,  2018-11-07, US10383602, 2019-08-20.

7). 김하영, 우경구, 이지현, " 질환 진단을 위한 최적의 진단 요소 셋 결정 장치 및 방법", KR, 10-1855179, April 2018. (CN103177179B, JP6006081B2)

6). Ha Young Kim, Hye Jin Kam, Yehoon Kim, "Apparatus and Method for Diagnosis Support on Region of Interests with Presenting Comparison Image", US9959622, May 1 2018.

5). Won Sik Kim, Ha Young Kim, Hye Jin Kam, Hyo A Kang, Joo Hyuk Jeon, Seung Chul Chae, Seung Woo Ryu, "Computer-Aided Diagnosis Apparatus and Computer-Aided Diagnosis Method", US9928600, March 27 2018.

4). Hye Jin Kam, Ye Hoon Kim, Seung Chul Chae, Byung Kon Kang, Ha Young Kim, Ki Yong Lee, Joo Hyuk Jeon, "Apparatus and Method For Adaptive Computer-Aided Diagnosis", US9674447, June 2017.

3). Hye Jin Kam, Ha Young Kim, Joo Hyuk Jeon, "Computer-Aided Diagnosis Apparatus and Method", US9662040, May 2017.

2). Ha-young Kim, Hyoung-Min Park, Haesun Park, Jae-Gul CHOO, "Method and Apparatus for High-dimensional Data Visualization", US9508167, Nov. 2016.

1). Ji-hyun Lee, Hye-Jin Kam, Ha-young Kim, Sang-hyun Yoo, Yoonho Choi, Mira Kang, Jeongeuy Park, Jidong Sung, Heeyoung Shin, SungWon Cho, Soojin Cho, "Apparatus and Method for Predicting Potential Change of Coronary Artery Calcification (cac)  Level", US9324035, April 2016.

Published Patents(출원특허):

1). Hyunku Lee, Hyunsurk Ryu, Barom Kang, Ha Young Kim, "Convolutional Neural Network for Object Detection" US16/576,278, 2019.09.19 (CN 201910981966.0, 2019.10.16).

2). Ha Yong Kim et al.(안용한, 장유진, 신현규, 이상효, 김태욱, 백유진, 원창현), " System and Method for Evaluating Concrete Structure Degradation Using Deep Neural Networks, KR, 10-2017-0159963, Nov. 2017.3). 

3). Ha Young Kim, Hye Jin Kam, "Diagnosis Model Generation System and Method", US20170103174, April 2017.

4). Ha Young Kim, Kyoung Gu Woo, "Apparatus and Method for Providing Reliability for Computer Aided Diagnosis", US20160259898, Sep. 2016.

5). Ha Young Kim, "Apparatus and Method for Supporting Medical Examination Based on Personalized Checklist", US20160092635, Sep. 2015.

6). Baek Hwan Cho, Seong Yeong Kyeong, Ye Hoon Kim, Ha Young Kim, Joo Hyuk Jeon, "Apparatus and Method for Visualizing Anatomical Elements in a Medical Image", US20150265251, Sep. 2015.

7). Ha Young Kim, Hye Jin Kam, "Diagnosis Model Generation System and Method", WO2015199258, PCT, Dec. 2015.

8). Chu-Ho Chang, Yeong-kyeong Seong, Ha-young Kim, Kyoung-gu Wo, "User Interaction Based Image Segmentation Apparatus and Method",US20140200452, July 2014.

9).  Hye Jin Kam, Ha Young Kim, "Apparatus and Method for Monitoring Disease Status Based on Time-Series Data Modeling", KR1020140016559, Feb. 2014.

10). Ha-young Kim, Hye-Jin Kam, Sang-hyun Yoo, Ji-hyun Lee, Yoonho Choi, Mira Kang, Jeongeuy Park, Jidong Sung, Heeyoung Shin, SungWon Cho, Soojin Cho, "Apparatus and method for Predicting Upcoming Stage of Carotid Stenosis", US20130274564, Oct. 2013.

11). Hye-Jin Kam, Ha-young Kim, Sang-hyun Yoo, Ji-hyun Lee, Yoonho Choi, Mira Kang, Jeongeuy Park, Jidong Sung, Heeyoung Shin, SungWon Cho, Soojin Cho, "Apparatus and Method for Predicting Potential Degree of Coronary Artery Calcification(CAC) Risk", US20130275154, Oct. 2013.

12). Ha-young Kim, Kyoung-gu Woo, Ji-hyun Lee, "Diagnostic Factor Set Determination Apparatus and Method", US20130166267, June 2013.

"하나님께서 세상을 이처럼 사랑하셔서 독생자를 주셨으니 이는 그를 믿는 사람마다 멸망하지 않고 영생을 얻게 하려는 것이다.

   For God so loved the world that he gave his one and only Son, that whoever believes in him shall not perish but have eternal life. (요한복음 3:16)"