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, 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)
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)
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)
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)
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)
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)
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
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
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
Machine Learning, Deep Learning
Kim, S., Jang, G., Cho, H., Roh, H., Kim, K., Jo, M., Tae, J., and Kim, S.B.* (2025) Image Denoising for Wafer Transmission Electron Microscopy Using Segment Anything-Guided Optimization, 2025 IEEE 21st International Conference on Automation Science and Engineering, Los Angeles California, USA, 2025 (August, 17-21)
#Image Denoising#Semiconductor#Optimization#Segment Anything#Wafer TEM Image
Deep Learning, Quality Analytics/Smart Manufacturing
Kim, J., Hwang, S., Jeong, J., Jeong, J.H., Chang, K., Choi, H., Kim, S.W., Shon, S., and Kim, S.B.* (2025) Range-Aware Deep Learning Framework for Multi-Parameter Electrical Test Prediction in Semiconductor Manufacturing, 2025 IEEE 21st International Conference on Automation Science and Engineering, Los Angeles California, USA, 2025 (August, 17-21)
Kim, J., Kim, S.B.*(2025) DynaMIX: Sample-Efficient Multi Agent Reinforcement Learning with Multi-Step Temporal Forward Dynamics Modeling. The 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Kitakyushu, Japan (July. 1-4)
Deep Learning
Jeong, J., Kahng, H,. Kim, S.B.*(2025) Domain Generalization through Domain-Expert Risk Assessment. The 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Kitakyushu, Japan (July. 1-4)
#Deep Learning#Domain Generalization
Deep Learning
Ahn, S., Kim, S.B.*(2025) Impact of Replay Ratios on Performance and Efficiency in Continual Learning for Skeleton-based Action Recognition. The 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Kitakyushu, Japan (July. 1-4)
#Continual Learning#Skeleton based Human Action Recognition
Deep Learning
Lee, J., Kim, S.B.*(2025) Uncertainty-based Instance-Dependent Noisy Label Datasets Generation. The 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Kitakyushu, Japan (July. 1-4)
#Deep Learnig#Noisy Label
Deep Learning, Reinforcement Learning, Game
Lee, J., Kim, J., Heo, J., Jeong, J., Kim, S.B., 트랜스포머 기반 이상치 탐지 방법을 활용한 Minihack 환경에서의 단일 에이전트 버그 탐지, 2025 Korea Game Society, Gueonggi-do, Korea, 2025 (May 23-24)
Choi, J., Kim, S.B., BalFed: Balanced Mixture of Local and Global Models Through Layer-Wise Personalization in Federated Learning, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
Deep Learning
Lee, H., Kim, S.B., Fine-tuning Segment Anything: A Case Study in Agriculture, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
#Computer Vision#Foundation Model#Deep Learning
Deep Learning
Park, S., Kim, S.B., Optimization-Free Test-Time Adaptation with Weighted Prototype Refinement for Human Activity Recognition, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
#Human Activity Recognition#Test-time Adaptation#Time-Series Data
Deep Learning
Moon, S., Kim, S.B., Integrating Graph Modeling and Transformer for Inter- and Intra-Variable Anomaly Detection in Electric Vehicle Battery Management Systems, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
Yun, J., Kim, S.B., Consistency-Driven Diffusion for Robust Tabular Data Synthesis, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
