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• 연구관심분야 : Deep learning, Artificial Intelligence, Computer Vision
• 홈페이지 : https://sites.google.com/view/jongbinryu/

I am working on a number of interesting research topics related to deep learning and computer vision.
Our lab aims to publish papers at global top AI conferences such as CVPR ICCV, ECCV, NeurIPS, ICML, and ICLR.

1. [논문] 강한결, 김남국, 유종빈, Attentional decoder networksforchestX-rayimagerecognitionon high-resolution features , Computer Methods and Programs in Biomedicine , pp.. -. (Jun, 2024)
2. [논문] 박원기, 유종빈, Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification , COMPUTERS IN BIOLOGY AND MEDICINE , pp.. -. (May, 2024)
3. [논문] 박인혁, 김원화, 유종빈, Style-KD : Class-Imbalanced Medical Image Classification via Style Knowledge Distillation , Biomedical Signal Processing and Control , Vol.91 , pp.. -. (May, 2024)
4. [논문] 오승민, 김남국, 유종빈, Analyzing to discover origins of CNNs and ViT architectures in medical images , Scientific Reports , pp.. -. (Apr, 2024)
5. [논문] 고준형, 유종빈, Spatial Bias for attention-free non-local neural networks , EXPERT SYSTEMS WITH APPLICATIONS , pp.. -. (Mar, 2024)

1. [논문] 강한결, 김남국, 유종빈, Attentional decoder networksforchestX-rayimagerecognitionon high-resolution features , Computer Methods and Programs in Biomedicine , pp.. -. (Jun, 2024)
2. [논문] 박원기, 유종빈, Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification , COMPUTERS IN BIOLOGY AND MEDICINE , pp.. -. (May, 2024)
3. [논문] 박인혁, 김원화, 유종빈, Style-KD : Class-Imbalanced Medical Image Classification via Style Knowledge Distillation , Biomedical Signal Processing and Control , Vol.91 , pp.. -. (May, 2024)
4. [논문] 오승민, 김남국, 유종빈, Analyzing to discover origins of CNNs and ViT architectures in medical images , Scientific Reports , pp.. -. (Apr, 2024)
5. [논문] 고준형, 유종빈, Spatial Bias for attention-free non-local neural networks , EXPERT SYSTEMS WITH APPLICATIONS , pp.. -. (Mar, 2024)
6. [논문] 오승민, 손상용, 송정호, 한상욱, 허훈, 신호정, 유종빈, Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : A retrospective cohort study , International Journal of Surgery , Vol.0 , No.0 (Sep, 2023)
7. [논문] 윤동주, 임종우, 유종빈, Dual aggregated feature pyramid network for multi label classification , PATTERN RECOGNITION LETTERS , Vol.144 , pp.75 -81 (Apr, 2021)
8. [논문] 유종빈, Ming-Hsuan Yang, 임종우, Unsupervised feature learning for self-tuning neural networks , NEURAL NETWORKS , Vol.133 , pp.103 -111 (Jan, 2021)
9. [논문] 유종빈, 권기택, 강보경, 배준원, 안치원, 이동건, 오재훈, 임종우, Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study , SCIENTIFIC REPORTS (Oct, 2020)

1. [학술회의] 박인혁, 유종빈, 김성은, Generative Self-Supervised Learning for Medical Image Classification , Asian Conference on Computer Vision (Dec, 2024)
2. [학술회의] 오승민, 유종빈, Neural Substitution for Branch-level Network Re-parameterization , Asian Conference on Computer Vision (Dec, 2024)
3. [학술회의] 김성은, 유종빈, Unsupervised Hashing Network with Hyper Quantization Tree , British Machine Vision Conference (Nov, 2024)
4. [학술회의] 유종빈, 한동윤, 임종우, Gramian Attention Heads are Strong yet Efficient Vision Learners , International Conference on Computer Vision 2023 , pp.5841 -5851 (Oct, 2023)
5. [학술회의] 박원기, 박인혁, 유종빈, 김성은, Robust Asymmetric Loss for Multi-Label Long-Tailed Learning , Computer Vision for Automated Medical Diagnosis ICCV 2023 Workshop (Oct, 2023)

1. [학술회의] 문주현, 유종빈, 임재성, 시계열 데이터의 CNN 적용을 위한 전처리 속도 개선 방법 , 2023 한국군사과학기술학회 종합학술대회 (Jun, 2023)

1. [특허] 신호정, 오승민, 유종빈, 복부 컴퓨터 단층 촬영 이미지를 이용한 소장 폐쇄를 분류하는 전자장치 및 방법 (출원) (PCT/KR2024/014604) (Sep, 2024)
2. [특허] 신호정, 오승민, 유종빈, 복부 컴퓨터 단층 촬영 이미지를 이용한 소장 폐쇄를 분류하는 전자장치 및 방법 (출원) (10-2024-0129124) (Sep, 2024)
3. [특허] 유종빈, 저해상도 얼굴 인식을 위한 생성적 도메인 적응 방법 및 장치 (등록) (10-2454443) (Oct, 2022)
4. [프로그램] 유종빈, 고준형, 김성은, 머신러닝 모델 학습 프로그램의 일괄 실행을 위한 소프트웨어 (등록) (C-2022-001193) (Jan, 2022)