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
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, 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.
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
Deep Learning
Lim, S., Kim, S. B., 메타 인지 모델 기반 오픈셋 준지도 학습, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Deep Learning
Machine Learning, Deep Learning
Choi, J., Park, S., Lee, H., and Kim, S. B., 최근접 이웃 알고리즘을 활용한 증강 데이터 범주 정보 할당, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Data Augmentation#Tabular Data
Deep Learning, Quality Analytics/Smart Manufacturing
Yun, J., Chu, C.W., Lim, S.R., Heo. J.K., Jeong, H.B., Kim, S. B.*, Vehicle Health Indicator Based on Cumulative Reconstructed Errors, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
##Health Indicator Construction #Prognostic and Health Management
Deep Learning, Quality Analytics/Smart Manufacturing
Ahn, S., Lim, S., Heo, J., Kim, J., Yun, J., Kim, J., Jin, Y., Yoo, H., and Kim, S. B., 디스플레이 공정 오류 검출 후 의사결정 지원을 위한 EWC 기반 Continual Learning, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
Chu, C.W., and Kim, S. B., 동적 관심구간 선정법을 활용한 디퓨전 기반 PPG to ECG 변환, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Generative Models#Time-Series Data
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., Range-aware Multi-Output Regression Using Input-Projection CNN for Electrical Test Prediction, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
Deep Learning, Quality Analytics/Smart Manufacturing
Jo, Y., Bae, J., Cho, H., Roh, H., Kim, K., Jo, M., Kim, M., Tae, J., and Kim, S. B., 반도체 웨이퍼 투과식 전자 현미경 특징을 고려한 다중 과업 기반 의미론적 분할, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
Lee, J., Kim, S.B.* 불확실성 기반 샘플 의존적 노이즈 레이블 생성 방법론, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Deep Learning#Uncertainty#Noise label
Deep Learning
Kim, S., Jang, G., Cho, H., Roh, H., Kim, K., Jo, M., Kim, M., Tae, J., and Kim, S.B.* 반도체 웨이퍼 투과식 전자 현미경 이미지 내 노이즈 제거를 위한 Segment Anything 기반 가상 계측 레이블을 활용한 최적화, 2024 Korea Data Mining Society, Gyeongju, Korea, 2024 (November. 22-23). Poster.
#Deep Learning#Image Denoising#Optimization
Deep Learning, Quality Analytics/Smart Manufacturing
Yun, J., Chu, C.W., Lim, S.R., Heo. J.K., Jeong, H.B., Kim, S. B.* 누적 재구축 오차 기반 차량 노후화 지표, 2024 Korean Institute of Industrial Engineers, Seoul, Korea, 2024 (October. 24-25)
#Health Indicator Construction#Prognostic and Health Management
Reinforcement Learning
Kim, J., Kim, S. B.* 오프라인 데이터를 활용한 준지도학습 기반의 심층강화학습 방법론, 2024 Korean Institute of Industrial Engineers, Seoul, Korea, 2024 (October. 24-25)
#reinforcement learning#self-supervised learning
Deep Learning
Park, T., Kim, S. B.* Virtual Try-on with Pose-Aware Diffusion Models, 2024 Korean Institute of Industrial Engineers, Seoul, Korea, 2024 (October. 24-25)
#Generative Models#Diffusion Models
Deep Learning
Lee, J., Kim, S. B.* 불확실성 기반의 샘플 의존적 노이즈 레이블 생성, 2024 Korean Institute of Industrial Engineers, Seoul, Korea, 2024 (October. 24-25)
#Deep Learning#Uncertainty#Noise label
Deep Learning
Kim, S., Cho, H., Baek, I., Roh, H., Kim, K., Jo, M., Tae, J., Kim, S. B.* 반도체 웨이퍼 TEM 이미지를 위한 초해상화 프레임워크, 2024 Korean Institute of Industrial Engineers, Yeosu, Korea, 2024 (May. 2-4)
#Super-Resolution#Computer Vision#Wafer TEM Image
Deep Learning
Kim, S., Cho, H., Baek, I., Roh, H., Kim, K., Jo, M., Tae, J., Kim, S. B.* (2024). Super-Resolution for Wafer Transmission Electron Microscopy Images. The 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Hradec Kralove, Czech Republic (July. 10-12)
#Super-Resolution#Computer Vision#Wafer TEM Image
Deep Learning, Healthcare/Biomedicine
Kim, J., Lee, M., Cho, H., Kim, S. B.* (2024). PPG-Based Heart Rate Estimation Using Unsupervised Domain Adaptation. The 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Hradec Kralove, Czech Republic (July. 10-12)
Jeong, J., Kahng, H., Kim, S. B., 도메인별 최대 손실 함수를 고려한 강건 최적화 기반 도메인 일반화, 2024 Korea Data Mining Society, Seoul, Korea, 2024 (May., 30)
#Domain generalization#Robust optimization
Deep Learning
Kim, J., Kim, S.B., 역학 모델링을 사용한 샘플 효율적인 다중 에이전트 강화학습, 2024 Korea Data Mining Society, Seoul, Korea, 2024 (May., 30)
#강화학습#스타크래프트 2#역학 모델링#표현 학습
Deep Learning
Baek, M.J., Kim, S.B., 반도체 공정 소재 품질을 위한 시계열 및 이미지 변환 데이터 활용 멀티모달 이상치 탐지, 2024 Korea Data Mining Society, Seoul, Korea, 2024 (May., 30)
#Anomaly Detection#Multi-modal learning
Deep Learning
Park, T.N., Kim, S.B., 포즈 인식 디퓨전 모델을 통한 가상 의상 착용, 2024 Korea Data Mining Society, Seoul, Korea, 2024 (May., 30)
#Generative Models#Diffusion Models
Deep Learning
Lee, J., Cho, H., Yoo, Y., Kim, S. B.*, Jeong, Y.* (2024). Compose and conquer: diffusion-based 3D depth aware composable image synthesis. In The Twelfth International Conference on Learning Representations (ICLR). Vienna, Austria (May 8).
#Generative Models#Diffusion Models
Deep Learning
Cho, H., Lee, J., Kim, S. B., Oh, T. H*., Jeong, Y.* (2024). Noise map guidance: inversion with spatial context for real image editing. In The Twelfth
International Conference on Learning Representations (ICLR), Vienna, Austria (May 8).
#Generative Models#Diffusion Models
Deep Learning
Moon, S., Kim, S.B., Diffusion Models for Unsupervised Out-of-Distribution Detection in Wafer Bin Map, 2024 11th International Conference on Industrial Engineering and Applications, Hiroshima, Japan, 2024 (April 25-27)
#Out-of-distribution Detection#Diffusion Models#Wafer Bin Map
Deep Learning, Quality Analytics/Smart Manufacturing
Sim, S., Bae, J., Kim, S.B., Vehicle Noise Prediction Using Semi-Supervised Regression, 2024 11th International Conference on Industrial Engineering and Applications, Hiroshima, Japan, 2024 (April 25-27)
#Semi-supervised learning#Regression#Time-Series Data
Reinforcement Learning
Heo, J., Lee, Y. J., Kim, J., Kwak, M. G., Park, Y., & Kim, S. B. PreMiRE: Robust and Feedback-Efficient Preference-based Reinforcement Learning, 2024 11th International Conference on Industrial Engineering and Applications, Hiroshima, Japan, 2024 (April 25-27)
Deep Learning
Lim, S.R., Kim, S.B., Learning Multi-Signal Interaction with Bi-Level Masked Reconstruction for Human Activity Recognition, 2024 11th International Conference on Industrial Engineering and Applications, Hiroshima, Japan, 2024 (April 25-27)
Lee, J.H., Cho, H.S., Yoo, Y.J., Kim, S.B., Jeong, Y.H., 디퓨전 모델 기반 3D 깊이 인식 합성 이미지 생성, 2023 Korea Data Mining Society, Seoul, Korea, 2023 (Nov., 7)
#Generative Models#Diffusion Models
Deep Learning
Cho, H.S., Lee, J.H., Kim, S.B., Oh, T.H., Jeong, Y.H., Noise Map Guidance: 디퓨전 모델 기반 공간적 정보를 활용한 실제 이미지 편집, 2023 Korea Data Mining Society, Seoul, Korea, 2023 (Nov., 7)
#Generative Models#Diffusion Models#Image Editing
Deep Learning
Jang, G.H., Cho, H.S., Lee, J.H., Kim, S.B., 디퓨전 모델 기반 Personalization을 위한 개념 수준 분해, 2023 Korea Data Mining Society, Seoul, Korea, 2023 (Nov., 7)
#Generative Models#Diffusion Models
Deep Learning, Quality Analytics/Smart Manufacturing
Choi, J.W., Kim, S.B., 다중 스테이지 공정 센서 시그널 기반 웨이퍼 불량 분류 및 진단 네트워크, 2023 Korean Institute of Industrial Engineers, Ulsan, Korea, 2023 (Nov., 3)
Park, T.N., Kim, S.B., 스테이블 디퓨전을 활용한 포즈 컨트롤 가상 의상 착용, 2023 Korean Institute of Industrial Engineers, Ulsan, Korea, 2023 (Nov., 3)
#Deep Learning#Diffusion Models
Deep Learning
Baek, M.J., Kim, S.B., Enhancing Semiconductor Equipment Failure Detection using Correlation Analysis and Data Augmentation, 2023 INFORMS Annual Meeting, Phoenix, AZ, US, 2023 (October. 15-18)
#Anomaly detection
Reinforcement Learning
Kim, J.H., Lee,Y.J, Kwak, M.G, Park, Y.J, Kim, S.B., Reinforcement Learning with Non-Contrastive Learning to Enhance Sample Efficiency in Atari, 2023 INFORMS Annual Meeting, Phoenix, AZ, US, 2023 (October. 15-18)
