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)
#Diffusion Models#Tabular Data Synthesis
Deep Learning
Cho, H., Kim, S.B., Controllable 3D Asset Generation with Loss Guidance, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
#Diffusion Models
Deep Learning, Reinforcement Learning
Heo, J., Lee, Y.J., Kim, J., Kwak, M., Park, Y.J., Kim, S.B., LiDER: Likelihood-based Query Samplingand Dynamic Value Estimator Reset for Efficient Preference-based Reinforcement Learning, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
Deep Learning
Bae, J., Do, H., Kim, S.B., Improving Calibration for Safe Semi-supervised Learning Under Label Distribution Mismatch, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
Deep Learning
Han,K.S., Kim, S.B., The Methodology for predicting Final Temperature of Molten Steel in the Steelmaking Converter Process , 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
###Deep Learning ##Steelmaking ##Regression
Deep Learning, Quality Analytics/Smart Manufacturing
Jo,Y.S., Kim, S.B., Hierarchical Attention-Based Yield Prediction Model Using Wafer Process Progression Data in Semiconductor Manufacturing, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
##Deep Learning##Semiconductor##Tabular Data
Deep Learning
Lim, S.R., Kim, S.B., Open-Set Semi-Supervised Learning with Trainable Open-Set Probability Model for Image Classification, 2025 12th International Conference on Industrial Engineering and Applications, Seoul, South Korea, 2025 (April 24-26)
Moon, S., Kim, S. B., Input-guidance Diffusion Model for Unknown Defect Patterns Detection in Wafer Bin Map, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
Park, T., Kim, S. B., Virtual Try-on with Pose-Aware Diffusion Models, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Generative Models#Diffusion Models
Deep Learning
Mok, C., Moon, S., Kim, S. B., 자동차 배터리 이상 탐지를 위한 변수 가이드 트랜스포머 모델, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Anomaly Detection#Time-Series Data
Deep Learning
Cho, H., Kim, S. B., Guidance 및 Scheduling을 통한 디퓨전 모델 기반 이미지 편집 신뢰성 향상, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Diffusion Models#Image Editing
Deep Learning
Jeong, J., Kahng, H., Kim, S. B., Robust Optimization-based Out-of-Distribution Generalization via Maximum Risk across Domains and Subpopulations, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Domain generalization#Deep Learning
Deep Learning
Baek, M. J., Kim, S. B., 시계열 및 이미지 멀티모달 입력 데이터를 활용한 반도체 공정 소재 이상치 탐지, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Anomaly Detection#Multi-modal learning
Deep Learning
Jo, Y.S., Kim, S.B., 반도체 수율 예측을 위한 계층적 어텐션 네트워크 방식의 지도학습 방법론 , 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
##Deep Learning##Semiconductor##Tabular Data
Machine Learning, Deep Learning
Lee, J., Park, T., Jo, Y., Jeong, S., Hwang, J., Ahn, T., Moon, H., Kim, H., and Kim, S. B., 트랜스포머 기반 장기 의류 판매량 예측, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Time Series Forecasting#Deep Learning
Deep Learning
Jeong, K. J., Kim, S. B., Vision-integrated Multimodal Framework For Time Series Forecasting, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Time Series Forecasting
Deep Learning
Lee, Y.H., Kim, S.B., 반도체 제조용 주사 전자 현미경 이미지의 약지도학습 기반 결함 분할, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
##semantic segmentation##semiconductor defect SEM image##weakly supervised learning
Deep Learning, Reinforcement Learning, Game
Heo, J., Lee, Y.J., Kim, J., Kwak, M.G., Park,Y.J., Kim, S.B.*, Improving Preference-based Reinforcement Learning by Policy-based Query Sampling Guidance and Mitigating Reward Overestimation, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster
##Preference-based Reinforcement Learning
Deep Learning, Reinforcement Learning
Choi, J.W., Kim, S.B., Environment-Adaptive Optimization of Deep Reinforcement Learning Policies for Semiconductor Tool Scheduling, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
Natural Language Processing, Reinforcement Learning, Game
Lee, J.B., Kim, J.I., Heo, J.K., Kim, J.H., Lee, J.M., and Kim, S.B.*, 거대 언어 모델과 RLHF를 활용한 슈퍼마리오 게임 맵 생성 모델, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Natural Language Processing#Reinforcement Learning#Game
Deep Learning
Jang, G.H., Kim, S.B., Improving Text Fidelity in Diffusion Models through Text Embedding Modification, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#딥러닝
Deep Learning
Jeong, Y.T., Kim, S.B., 모델 가중치 평균화를 활용한 설비 고장 진단의 도메인 일반화, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Domain generalization
Deep Learning, Reinforcement Learning, Game
Kim, J., Kim, S.B., 데이터 효율성 개선을 위한 역학 모델 기반 멀티 에이전트 강화학습, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Reinforcement Learning#Representation Learning#Game AI
