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Number of entries: 518 (필터 적용됨)

Deep Learning

Song, H., Cho, H., Kim, S. B.* (2026), Exploring Flow Posteriors in Noisy Space: Marginal Langevin dynamics for Inverse Problems, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24-26). Poster

#Generative Models #Deep Learning

Deep Learning

Kim, Y., Kim, J., Kim, S. B.* (2026), Improving CLIP’s Zero-Shot Generalization Using LLM Descriptors with Visual Prompt Tuning, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24-26). Poster

#Deep Learning #Vision-language Models #Zero-shot

Deep Learning, Reinforcement Learning

Jang, S., Park, S., Jung, J., Lee, J., Kim, J.I., Jeong, J., Heo, J., Kim, S.B.* (2026), 게임 콘텐츠 생성을 위한 정답 데이터 없는 환경에서의 GRPO 기반 강화학습 프레임워크, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24-26). Poster

#Procedural Content Generation #Group Relative Policy Optimization #Curriculum Learning

Deep Learning

Park, S., Lee, J., Kim, S. B.* (2026), Retrieval-Guided Residual Correction for Robust Time-Series Forecasting, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24-26). Poster

##Deep Learning #Time Series Forecasting

Deep Learning

An, C., Song, H., Kim, S., Im, S., Choi, B., Kim, Y., Noh, H., Kim, S.B.* (2026), 분할 파운데이션 모델과 멀티모달 거대언어모델 기반 반도체 SEM 이미지 추론 분할 기법, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24-26). Poster

Machine Learning

Lee, Y., Kim, S. B. *(2026), Quantile Regression Forest를 활용한 타이어 프로파일 지점별 가변 Prediction Band 구축, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24–26). Poster

#Tire #uncertainty #Calibration #Multi-Output Regression

Deep Learning

Kim, H., Kim, S. B.* (2026), 대규모 언어모델 에이전트 기반 타이어 프로파일 능동 학습 방법론, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24–26). Poster

#Deep Learning #Tabular Data #Regression #Active Learning

Deep Learning

Kang, D., Kim, S. B.* (2026), Cross-Attention 기반 이미지-Tabular 멀티모달 학습을 통한 타이어 Profile 편차 예측과 설계변수 영향 해석, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24–26). Poster

#Deep Learning #Tabular Data #Computer Vision #Regression

Deep Learning

Kim, S., Kim, S. B.* (2026), 대조적인 어휘 쌍을 활용한 SAM3 기반 제로샷 산업 이상 이미지 분할, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24–26). Poster

Deep Learning

Son, B., Jang, S., Lee, J., Park, S., Hwang, S., Sim, S., Ko, B., Yoon, D., Kim, S., Kim, S. B.* (2026), 구동 조건 및 열화상 이미지를 활용한 멀티모달 딥러닝 기반 TV 소자 타점 온도 예측 방법론, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24–26). Poster

#Deep Learning #Multi-modal learning #Tabular Data #Computer Vision #Regression

Deep Learning

Kim, H., Kim, S., Heo, J., Kim, S., Jung, J., Son, B., Jang, S., Moon, H., Kim, M., Seo, J., Park, M., Choi, J., Tae, J., Choi, J., Seo, J., Kim, S. B.* (2026), 산업 현장 이상 탐지를 위한 비전·언어 모델 기반 멀티 에이전트 추론 방법론, 2026 Korea Data Mining Society, Yesan, Korea, 2026 (August. 24-26). Poster

#Deep Learning #Vision-Language Model #Agent

Deep Learning

Jeong, J., Kahng, H., Kim, S.B.* 도메인별 예측 헤드의 평균화를 통한 도메인 일반화, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Domain generalization

Deep Learning

Hwang S., Kim, S. B.* 신뢰도 기반 샘플 선택을 활용한 비전 언어 모델의 테스트 시점 적응 방법론, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Deep Learning #Vision-Language Models #Test-time Adaptation

Deep Learning

Park, S., Lee, J., Kim, S. B.* 패턴 중심 유사도 검색과 시계열 분해를 활용한 다변량 시계열 예측 방법론, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Time-Series Data #Time-Series Forecasting

Deep Learning

Song, H., Cho, H., Kim, S. B.* 확산 모델 기반 역문제에서의 사후 분포 탐색 개선, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

Deep Learning

Kim, H., Hwang S., Kim, S. B.* 분포 변화 대응을 위한 효율적인 테스트 시점 프롬프트 융합 기법, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Deep Learning #Test-time Adaptation #Vision-Language Models

Deep Learning

Kim, J.I, Kim, S. B.* 역할 정보를 반영한 시간적∙협력적 의존성 모델링 기반 다중 에이전트 선호 기반 강화학습, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Preference-Based Reinforcement Learning #Game AI

Deep Learning

Kim, Y., Kim, J., Kim, S. B.* 대형 언어 모델 설명문을 활용한 시각 프롬프트 튜닝 기반 CLIP 제로샷 성능 향상, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Deep Learning #Vision-language Models #Zero-shot

Deep Learning

Jang, S., Heo, J., Jeong, J., Kim, S. B.* 다중 목표 및 종속적 희소 보상 과업으로의 탐험 경계 기반 탐색 확장, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Deep Learning #Reinforcement Learning

Deep Learning

Kim, S., Kim, S. B.* 의료 이미지 분할을 위한 SAM3 기반 MLLM 에이전트, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Image Segmentation #Agent #Zero-shot

Deep Learning

Son, B., Sim, S., Kim, S. B.* 비전-언어 모델의 원격 탐사 도메인 일반화를 위한 푸리에 변환 기반 프롬프트 튜닝 방법론, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Vision-Language Models #Representation Learning #Domain Generalization

Deep Learning

Kim, H., Kim, J., Kim, S. B.* 이중 가이드 기반 비전-언어 모델의 강건한 유사 분포 외 데이터 탐지, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#OOD Detection #Vision-Language Models

Deep Learning

Kang, D., Kim, J., Kim, S. B.* 약지도 비디오 이상탐지를 위한 LoCAT: 국소 문맥 기반 텍스트 정제 기법, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Video Anomaly Detection #Weakly Supervised Learning #Vision-Language Models

Deep Learning

Lee, J., Kim, S. B.* 분포 내 레이블 노이즈와 이와 비슷한 분포 밖 데이터가 혼재하는 상황에서의 준지도 레이블 노이즈 학습 방법론, 2026 Korean Institute of Industrial Engineers, Gyeongju, Korea, 2026 (June. 4-5)

#Contrastive Learning #Noisy Label #Out-of-Distribution #Semi-Supervised Learning #Vision-Language Models

Machine Learning, Deep Learning

Choi, J., Kim, S.B.* (2026) User-level Initiated Unlearning for Federated Large Language Models in Cross-silo Setting. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

Machine Learning, Deep Learning, Quality Analytics/Smart Manufacturing

Jeong, K., Kim.S.B.* (2026) Surrogate TEM Imaging from Inline OCD with Conditional Generative Models. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

##Deep Learning #Semiconductor #Generative Models

Machine Learning, Deep Learning

Lee, Y., Hwang, S., Kim, J., Kim, S., Kim, D., Kim.S.B.* (2026) Two-Stage Latent Space Learning Framework Using Displacement Vectors for Tire Profile Prediction. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

#Tire #Latent Space Learning #Residual Learning

Machine Learning, Deep Learning

Kim, D., Lee, J., Kim, S.B.*(2026) Open-Set Recognition in Heterogeneous Federated Learning via Probabilistic Prompt Modeling. The 13th International Conference on Industrial Engineering and Applications, Kyoto, Japan(April. 9-12)

#data heterogeneity #federated learning #open-set recognition #vision-language models

Machine Learning, Deep Learning

Lee, H., Kim, S., Kim.S.B.* (2026) Radial Loss: Enabling Few-Shot Instance Segmentation for Crop Images. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

Machine Learning, Deep Learning, Quality Analytics/Smart Manufacturing

Koh, J., Kim.S.B.* (2026) Unsupervised Anomaly Detection for Collector Mirror Contamination in Semiconductor EUV Lithography. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

#Semiconductor manufacturing*

Deep Learning, Reinforcement Learning

Heo, J., Kim.S.B.* (2026) Addressing Ambiguous Query Problems in Preference-based Reinforcement Learning. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

##Preference-based Reinforcement Learning #Reinforcement Learning

Machine Learning, Deep Learning

Sim, S., Kim, S.B.*(2026) One-Shot Semi-Supervised Federated Regression with Diffusion Model. The 13th International Conference on Industrial Engineering and Applications, Kyoto, Japan (April. 9-12)

#Federated Learning #semi-supervised learning #Regression

Machine Learning, Deep Learning

Kim, S., Sim, S., Kim, S.B.*(2026) Personalized Federated Learning for Time Series Forecasting Through LLM Description Agent and Semantic Alignment. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

#Time Series Forecasting #Federated Learning #LLM

Deep Learning

Lee, J., Kim, S.B.*(2026) Uncertainty-Weighted Multi-Task Learning for Enhanced Video Assistant Referee System Decision Automation. The 13th International Conference on Industrial Engineering and Applications, Kyoto,Japan (April. 9-12)

#multi-task learning #noisy label #uncertainty #VARS

Deep Learning

Lim, S., Kim, S.B.* (2025), Adaptive Consistency Learning Framework for Unknown Class Recognition in Open-Set Semi-Supervised Learning, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Semi-Supervised Learning

Deep Learning, Healthcare/Biomedicine

Park, H., Kim, S.B.* (2025), Multimodal In-Hospital Mortality Prediction via BYOL: Mitigating False Negatives without Negative Sampling, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

Machine Learning, Deep Learning

Cho, H., Kim, S.B.* (2025), Golden Noise를 통한 Diffusion Model 기반 Conditional Generation 개선, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

Machine Learning, Deep Learning

Park, S., Kim, S.B.* (2025), Online Test-time Adaptation for CLIP under Continual Domain Shifts, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Test-time Adaptation

Machine Learning, Deep Learning

Choi, J., Kim, S.B.* (2025), SS-AFL: 준지도 연합학습을 위한 분석적 학습 적용, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

Deep Learning

Jeong, K., Kim, S.B.* (2025), Generating Structural Images From Semiconductor Inline Data, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Deep Learning #Semiconductor #Generative Model

Machine Learning, Deep Learning

Cho, K., Kim, S.B.* (2025), Sampling-Frequency-Aware Transformer for Unsupervised Anomaly Detection in Irregular Multivariate Time Series, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Time series #Anomaly detection #Irregularly sampled time series

Machine Learning, Deep Learning

Jeong, J., Kahng, H., Kim, S.B.* (2025), Distributionally Robust Self-Supervised Learning for Domain Generalization, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Deep Learning #Self-Supervised Learning #Distributionally Robust Optimization

Machine Learning, Deep Learning

Bae, J., Do, H., Kim, S.B.* (2025), Calibration for Improving Safe Semi-supervised Learning, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Calibration #Deep learning

Deep Learning

Sim, S., Kim, S.B.* (2025), Stabilizing Semi-Supervised Domain Adaptation Regression via Unified Variance Control and Feature Whitening, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Deep Learning #Semi-supervised Learning #Domain Adaptation #Regression

Deep Learning, Reinforcement Learning

Lee, J.B., Kim, S.B.* (2025) 선호 기반 강화학습에서 피드백 효율성 향상을 위한 High Q-value Sampling 기법 , Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Reinforcement Learning #Deep Learning

Deep Learning, Reinforcement Learning

Kim, J., Heo, J., Lee, Y.J., Kwak, M.G., Park, Y.J., Kim, S.B.* (2025) 불확실성 기반의 온/오프라인 데이터 동적배치 구성을 통한 효율적인 심층강화학습 방법론, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

Machine Learning, Deep Learning

Kim, S., Kim, S.B.* (2025) Zero-shot Out-of-Distribution Detection with Detailed Guidance using Pretrained Vision-Language Models, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Zero-shot #Vision-Language Models #OOD Detection

Deep Learning, Reinforcement Learning

Heo, J., Lee, Y.J., Kim, J., Kwak, M., Park, Y.J., Kim, S.B.* ,(2025) Policy-Relevant Query Sampling and Dynamic Critic Reset for Efficient Preference-based Reinforcement Learning, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

Deep Learning, Reinforcement Learning

Kim, J., Lee, J., Kim, J., Heo, J., Jeong, J., Kim, S. B.* (2025) 이상치 탐지 방법을 활용한 SMAC 환경에서의 다중 에이전트 버그 탐지, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#Reinforcement Learning #Anomaly Detection #Game AI

Deep Learning

Lee, J., Kim, S. B.* (2025) Uncertainty Aware Semi-Supervised Learning with Out-Of-Distribution Noise, 2025 Korea Data Mining Society, Pyeongchang, Korea, 2025 (August. 28-29). Poster

#uncertainty #noisy label #semi-supervised learning