Conference

2025 June-Spring KIIE: Korean Institute of Industrial Engineers

• Gaeun Kim, Sewon Kim, Hyunsoo Yoon*, EchoCore: Foundation Model for Echocardiography via Generative Architecture with Spatiotemporal Separable Convolution

• Yongmin Kim,  Hyunsoo Yoon*, 실제 산업 환경을위한테스트타임어댑테이션기반 결함 진단 모델 

• Sewon Kim,  Hyunsoo Yoon*, 심초음파 영상에서의 비지도 이상 탐지를 위한 Trajectory-Conditioned Diffusion  

• Beomgyo Shin,  Hyunsoo Yoon*, SAM-Driven Uncertainty Quantification in Echocardiography   

• Yejin Kwon, Daeun Moon, Youngjae Oh,  Hyunsoo Yoon*, LogicQA: Looks normal? Let’s ask a few questions and catch the logical anomaly.

• Jonghyun Yoo, Hyunsoo Yoon*, Apartment Price Forecasting via LLM-Based Semantic Analysis of User Reviews Combined with Tabular Features

• Youngje Oh,  Hyunsoo Yoon*, 다변량 시계열 분류를 위한 대조학습기반의 해석가능성 표현 학습 프레임워크

• Jaeyeon Yoon,  Hyunsoo Yoon*, HR AI Agent 서비스를 통한 프로젝트 인원 매칭 적용 사례와 성과분석

• Jiwon Kim,  Hyunsoo Yoon*, 대형 비전-언어 모델의 환각 완화를 위한 양방향 대조 최적화   

• Jahoon Jeong, Hyunsoo Yoon*, Graph 기반 Spatio-Temporal Representation Learning과 Saliency-aware Pooling을 활용한 다변량 시계열 분류 방법 

• Hoyeon Lee,  Hyunsoo Yoon*, 미지 작업 조건에서의 강건한 고장 진단을 위한 도메인 일반화 프레임워크

• Yujun Yang, Joonkyo Shim,  Hyunsoo Yoon*, 산업 현장 이미지의 다양한 왜곡 환경을 고려한 실시간 도메인 적응 기반 이상 탐지  

2024 November-Fall KIIE: Korean Institute of Industrial Engineers

• Seoyoon Jang, Yujin Lee, Hyunsoo Yoon*, AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples  

• Donghwan Kim, Junghun Phee, Hyunsoo Yoon*, Challenging the Counterintuitive: Revisiting Simple Likelihood Tests with Normalizing Flows for Tabular Data Anomaly Detection 

• Gaeun Kim, Jihun Han, Hyunsoo Yoon*, Self-Supervised Learning for Generalized Representations in Echocardiographic Multi-Task Applications 

2024 October-INFORMS Annual Meeting: The Institute for Operations Research and the Management Sciences 

• Yongmin Kim, Yu Jun Yang, Hyunsoo Yoon*, Balanced Cross-Domain Fault Diagnosis Method in Rotating Machinery with Imbalanced Data

• Beomgyo Shin, Jaeik Jeon, Hyunsoo Yoon*, SAM-Driven Explainable and Uncertainty-Aware Automatic Measurement Model in Echocardiography

• Yu Jun Yang, Yongmin Kim, Hyunsoo Yoon*, Unsupervised Multi-Source Domain Adaptation in Cross-Machine Scenario with Mixed Heterogeneity

• Oyekanmi O. Olatunde, Kehinde S. Oyetunde, Jihun Han, Mohammad T. Khasawneh, Hyunsoo Yoon*, Multiclass Classification of Alzheimer's Disease Clinical Stages using Sequential Feature Embeddings and Regularized Multikernel Support Vector Machine

• Hoyeon Lee, Hyunsoo Yoon*, A Multi-Source Domain Generalization Method for Intelligent Fault Diagnosis Based on Domain Meta-Information

• Youngje Oh, Hyunsoo Yoon*, Leveraging Domain Generalization for Improved Estimation of Remaining Useful Life

2024 May-Spring KIIE: Korea Data Mining Society

• Jahoon Jeong, Hyunsoo Yoon*,  TANet : Tri-Aspect Network for Camouflaged Object Detection

• Yu Jun Yang, Yongmin Kim, Hyunsoo Yoon*,  Unsupervised Multi-source Domain Adaptation in Cross-Machine Scenario with Mixed Heterogeneity

• Yongmin Kim, Hyunsoo Yoon*, 샘플 불균형에 강건한 비지도 도메인 적응 기반 베어링 결함 진단 

2024 May-Spring KIIE: Korean Institute of Industrial Engineers

• Jaehwi Jeon, Youngtaek Hong*, Seung-Ah Lee, Hyuk-Jae Chang, Hyunsoo Yoon*, Differential Diagnosis of Left Ventricular Hypertrophy via Video Foundation Model

• Seoyoon Jang, Yujin Lee, Hyunsoo Yoon*, AnoPT: Few-Normal-Shot Anomaly Detection via Prompt Tuning

• Jihun Han, Hyunsoo Yoon*, Self-supervised Learning for Remaining Useful Life Prediction

• Youngje Oh, Hyunsoo Yoon*,도메인 일반화 방법론을 이용한 잔존 유효 수명 예측 고도화 

• Joo Hoon Lee, Youngtaek Hong*, Seung-Ah Lee, Hyuk-Jae Chang, Hyunsoo Yoon*, 디퓨전 모델을 사용한 심장 초음파 이미지 변환

• Jaehee Won,  Hyunsoo Yoon*, 멀티모달 데이터 기반 대규모 언어 모델(LLM)을 이용한 주가 수익률 예측 연구

2023 November-Fall KIIE: Korean Institute of Industrial Engineers

• Yujin Lee, Harin Lim, Seoyoon Jang,  Hyunsoo Yoon*, UniFormaly: Towards Task-Agnostic Unified Anomaly Detection

• Joonkyo Shim, Hyunsoo Yoon*, LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack

• Jihun Han, Hyunsoo Yoon*, 산업장비에서 정확한 잔존수명예측을 위한 고도화된 접근 방법

• Jung Hun Phee, Hyunsoo Yoon*, Graphical Abstraction of Time-Series Dynamics: A Spatial Perspective for Enhanced Understanding

2023 October-INFORMS Annual Meeting: The Institute for Operations Research and the Management Sciences 

• Yongmin Kim, Hyunsoo Yoon*, Enhancing Bearing Fault Diagnosis in Manufacturing Through Vibration Signal Feature Extraction and 2D Image Embedding with CNN Models

• Beomgyo Shin, Hyunsoo Yoon*, A Patch-Wise Fault Diagnosis Framework with Self-Supervised Learning in Limited Data Scenarios

• Yu Jun Yang, Hyunsoo Yoon*, Semi-supervised Domain Adaptation via Statistics Invariant Adversarial Training

• Oyekanmi O. Olatunde, William M. Duggar, David M. Caballero, Toms V. Thomas, Neha Adari, Mohammad T. Khasawneh, Hyunsoo Yoon*, Early Detection of Metastatic Tumor Recurrence Using Brain MRI

2023 June-Spring KIIE: Korean Institute of Industrial Engineers

• Yongmin Kim, Hyunsoo Yoon*,  2D 이미지 임베딩을 통한 베어링 결함진단 방법론

• Beomgyo Shin, Hyunsoo Yoon*, Self-supervised Learning for Fault Diagnosis with Limited Labeled Data

• Yu Jun Yang, Hyunsoo Yoon*,  공정 간 도메인 적응을 통한 준지도학습 기반의 회전기계 결함 진단

• Harin Lim, Yujin Lee, Hyunsoo Yoon*,  SelFormaly: 이미지 이상 탐지 통합 프레임워크

2022 November-Autumn KIIE: Korean Institute of Industrial Engineers

• Harin Lim, Yujin Lee, Hyunsoo Yoon*,  SimVI: A Simple Visual Inspection Framework with foreground object segmentation and pre-trained model-based anomaly detection

2022 October-INFORMS Annual Meeting: The Institute for Operations Research and the Management Sciences 

• Jun Kataoka, Hyunsoo Yoon*, AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain

• Hairong Wang, et al, Biologically-informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post-treatment glioblastoma

2022 June-Spring KIIE: Korean Institute of Industrial Engineers

2021 October-INFORMS Annual Meeting: The Institute for Operations Research and the Management Sciences

• Jun Kataoka, Hyunsoo Yoon*, Robust Deep Clustering Guided Adversarial Unsupervised Domain Adaptation 

• Jiajing Huang, Hyunsoo Yoon*, et al., Eigen-entropy: A Metric For Sampling Decision 

2021 November-Autumn KIIE: Korean Institute of Industrial Engineers

• Hyunsoo Yoon*, Tutorial: Types of transfer learning and research trends to improve generalization performance

• Hyunsoo Yoon*, Knowledge-Infused Machine Learning