Haeyun Lee

About

I am now an assistant professor at KOREATECH. Before joining the KOREATECH, I was a staff engineer at SAMSUNG SDI from March 2022 to Febraury 2024 . I received my master's and doctorate degree in Information and Communication Engineering from DGIST where I was thankfully advised by Prof. Jae Youn Hwang in 2018 and 2022 and a bachelor's degree in Mathematics from Chonbuk National University in 2016.  From January 2020 to August 2021, I worked as a visiting Ph.D. student at Medical Bigdata Research Center, Seoul National University Colledge of Medicine.

Work Experiences

• 2024.03~ : Assistant professor, KOREATECH

• 2022.03~2024.02 : Staff Engineer, SAMSUNG SDI

• 2020.01~2021.08: Visiting Ph.D. student, Medical Bigdata Research Center, Seoul National University Colledge of Medicine 

Education 

• Ph.D. Information and Communication Engineering
  Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea (Mar. 2018 - Feb. 2022)

• M.S. Information and Communication Engineering
  Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea (Mar. 2016 - Feb. 2018)

• B.S. Mathematics
  Chonbuk National University, Jeonju, Korea (Mar. 2012 - Feb. 2016)

Publications

• Few-shot Anomaly Detection for Medical Ultrasound Images using Metric Learning and Multimodal BiomedCLIP Embeddings
  Haeyun Lee, Kyungsu Lee, Jihun Kim
  Journal of Korean Institute of Communications and Information Sciences (Scopus)

• Expert-Level Differentiation of Incomplete Kawasaki Disease and Pneumonia from Echocardiography via Multiple Large Receptive Attention Mechanisms
  Haeyun Lee*, Kyungsu Lee*, Moon Hwan Lee, Sewoong Kim, Yongsoon Eun, Lucy Youngmin Eun, Jae Youn Hwang
  (*equally contributed)
  Computers in Biology and Medicine (SCIE)

• Real-time Self-supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis
  Haeyun Lee*, Kyungsu Lee*, Jong Pil Yoon, Jihun Kim, Jun-Young Kim
  (*equally contributed)
  IEEE Signal Processing Letters (SCIE)

• Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information
  Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
  The Thirteenth International Conference on Learning Representations (ICLR 2025) (Top Conference)

• SoN: Selective Optimal Network for smartphone-based indoor localization in real-time
  Kyungsu Lee*, Haeyun Lee*, Jae Youn Hwang
  (*equally contributed)
  Expert Systems with Applications (SCIE)

• Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-selective Test-Time Adaptation
  Kyungsu Lee, Haeyun Lee, Juhum Park, Jae Youn Hwang
  IEEE Transactions on Geoscience and Remote Sensing (SCIE)

• Explainable Multiple Receptive Attention Network for Expert Cardiologist Compatible Incomplete Kawasaki Disease Diagnosis on Echocardiography
  Kyungsu Lee*, Haeyun Lee*, Moon Hwan Lee, Sewoong Kim, Jaeseung Yang, Youngsoon Eun, Lucy Youngmin Eun, Jae Youn Hwang
  (*equally contributed)
  2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC) (Conference)

• Multi-Scale Self-Attention Network for Denoising Medical Images
  Kyungsu Lee*, Haeyun Lee*, Moon Hwan Lee, Jin Ho Chang, C-C Jay Kuo, Seung-June Oh, Jonghye Woo, Jae Youn Hwang
  (*equally contributed)
  APSIPA Transactions on Signal and Information Processing

• Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
  Kyungsu Lee*, Haeyun Lee*, Thiago Cavalcanti, Sewoong Kim, El Fakhri Georges, Dong Hun Lee, Jonghye Woo, Jae Youn Hwang
  (*equally contributed)
  MICCAI 2023

• Self-Supervised Domain Adaptive Segmentation for Breast Cancer using Test-Time Fine-Tuning
  Kyungsu Lee, Haeyun Lee, El Fakhri Georges, Jonghye Woo, Jae Youn Hwang
  MICCAI 2023

• Deep Learning-based Diagnostic System for Velopharyngeal Insufficiency based on Videofluoroscopy in Patients with Repaired Cleft Palate
  Jeong Hyun Ha*, Haeyun Lee*, Seok Min Kwon*, Hyunjin Joo, Guang Lin, Deok-Yeol Kim, Sukwha Kim, Jae Youn Hwang, Jee-Hyeok Chung, Hyoun-Joong Kong
  (*equally contributed)
  Journal of Craniofacial Surgery

• USIM Gate: Novel Attention-based UpSampling Interpolation Method for Segmenting Precise Boundaries of Target Objects
  Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
  AISTATS 2023
  [PDF]

• Stochastic Adaptive Activation Function
  Kyungsu Lee, Jaeseung Yang, Haeyun Lee, Jae Youn Hwang
  NeurIPS 2022
  [PDF]

• Speckle Reduction via Deep Content-Aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image
  Haeyun Lee*, Moon Hwan Lee*, Sangyeon Youn, Kyungsu Lee, Hah Min Lew, Jae Youn Hwang
  (*equally contributed)
  IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
  [PDF]

• Deep Learning Techniques for Ultrasound Image Enhancement and Segmentation
  Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
  Computational Intelligence and Image Processing in Medical Applications (Book Chapter)

• Explainable Deep Learning Algorithm for Distinguishing Incomplete Kawasaki Disease by Coronary Artery Lesions on Echocardiographic Imaging
  Haeyun Lee, Yongsoon Eun, Jae Youn Hwang, Lucy Youngmin Eun
  Computer Methods and Programs in Biomedicine
  [PDF]

• Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images
  Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
  International Conference on Computer Vision (ICCV) 2021
  [PDF]

• Boundary-Oriented Binary Building Segmentation Model with Two Scheme Learning for Aerial Images
  Kyungsu Lee, Junhee Kim, Haeyun Lee, Juhum Park, Jihwan P. Choi, Jae Youn Hwang
  IEEE Transactions on Geoscience and Remote Sensing
  [PDF]

• Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in Real Healthcare Environment
  Haeyun Lee*, Young Jun Chai*, Hyunjin Joo, Kyungsu Lee, Jae Youn Hwang, Seok-Mo Kim, Kwangsoon Kim, Inn-Chul Nam, June Young Choi, Hyeong Won You, Myung-Chul Lee, Hiroo Masuoka, Akira Miyauchi, Kyu Eun Lee, Sungwan Kim, Hyoun-Joong Kong
  (*equally contributed)
  JMIR Medical Informatics
  [PDF]

• Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images
  Haeyun Lee, Kyungsu Lee, Junhee Kim, Younghwan Na, Juhum Park, Jihwan P. Choi, Jae Youn Hwang
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  [PDF]

• Real Blurred Image Dataset for Learning and Benchmarking Deblurring Algorithms
  Jaesung Lim, Haeyun Lee, Jucheol Won, Sunghyun Cho
  European Conference on Computer Vision (ECCV) 2020
  [PDF] [PROJECT]

• Channel Attention Module with Multiscale Grid Average Pooling for Breast Cancer Segmentation in An Ultrasound Image
  Haeyun Lee, Jinhyoung Park, Jae Youn Hwang
  IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
  [PDF]

• Locally Adaptive Channel Attention-based Network for Denoising Images
  Haeyun Lee, Sunghyun Cho
  IEEE Access
  [PDF] [PROJECT]

• Image Restoration Network with Adaptive Channel Attention Modules for Combined Distortions
  Haeyun Lee, Sunghyun Cho
  Journal of KCGS
  [PDF]

• Objects Segmentation from High-Resolution Aerial Images Using U-Net with Pyramid Pooling Layers
  Junhee Kim*, Haeyun Lee*, Sunghwan Hong, Sewoong Kim, Juhum Park, Jae Youn Hwang, Jihwan P. Choi
  (*equally contributed)
  IEEE Geoscience and Remote Sensing Letters
  [PDF]

Patents

• Method for predicting severity of sleep apnea by using CT image and biometrics
  Jeong-Whun Kim, Hyung-Joong Kong, Jin Youp Kim, Kyungsu Lee, Jae Youn Hwang, Haeyun Lee
  KR, filed a patent, 10-2022-0047561

• Medical Data Process Apparatus and Method, and System for Federated Learning Medical Data
  Kyu Eun Lee, Hyung-Joong Kong, Tae Soo Jang, Daeyoun Kim, Jae Youn Hwang, Haeyun Lee
  KR, filed a patent, 10-2021-0193407

Awards & Honors

• Paper Award, International Conference on Biomedical and Health Informatics (ICBHI) 2021 (Nov. 2021)

• National Science & Technology Scholarship, KOSAF (Mar. 2012 - Feb. 2016)
  Full tuition exemptions for 8 semesters. 

Teaching Experiences

• IC651, Digital Image Processing (Spring 2018), TA
  Daegu Gyeongbuk Institute of Science & Technology (DGIST)

• SE387, Data Structure (Spring 2018), TA
  Daegu Gyeongbuk Institute of Science & Technology (DGIST)

• SE202, Integrated Engineering Mathematics (Fall 2016), TA
  Daegu Gyeongbuk Institute of Science & Technology (DGIST)