PUBLICATIONS
Journal & Conference Papers
International Journal Papers (SCI/E)
Kang, M.J., et. al., (authorship should be updated) (2024+) Stain Normalization Ensuring H&E Structural Consistency in Digital Pathology (working)
Lee, Y.J., Jang Y.N., Park, J.Y.*, Lee, S.M.*, (2024+), Semantic Segmentation and Interpretation of Invasive Breast Cancer Cells at the Whole Slide Imaging (working)
Kim, C.Y., et. al., (authorship should be updated) (2024+), Deep 3D Registration of WSIs using Pairwise Feature Matching for Prostate (working)
Kang, M.J., Bang, S.J., Kang, Y.K., Lee, S.M.*, (2024+), Robust and Interpretable Anomaly Detection Using Spatiotemporal Attention for Evaluating Production Capacity (submitted)
Lee, J.W., Lee, S.M.*, (2024), Separate Graph Neural Networks for Anomaly Detection to Identify Tailgating-Oriented Congestion in Semiconductor Manufacturing, 254, 124354.
Ahn, S., Jo, Y., Park, J., Kim, S., Kim, J., Kim, S. B., ... & Kim, Y. (2024). Multimodal Human Action Recognition for Rehabilitation Exercise of Upper Body for Individuals With Cerebral Palsy. IEEE Transactions on Systems, Man, and Cybernetics: Systems.
Bang, S.J., Kang, M.J., Lee, M.G., Lee, S.M.*, (2024), STO-CVAE: State Transition-Oriented Conditional Variational Autoencoder for Data Augmentation in Disability Classification, Complex & Intelligent Systems.
Yu, D.G., Kim, W.S., Park, S.H., Oh, B.R., Kim, H.J., Lee, S.M.*, (2022), Anticipatory Transport System with Hybrid Linear and Nonlinear Forecasting Using Streaming Wafer Process Data, Applied Soft Computing, 109122.
Song, S.A., Bang, S.J., Cho, S.Y., Han, H.S., Lee, S.M.*, (2022), Attentive Multi-Task Prediction of Atmospheric Particulate Matter: Effect of the COVID-19 Pandemic, IEEE Access., 10, 10176-10190.
Lee, S.M., Park, S.H.*, (2022),Concept Drift Modeling for Robust Autonomous Vehicle Control Systems in Time-Varying Traffic Environments, Expert Systems with Applications, 18, 116206.
Park, C. S. Y., Kabak, M., Kim, H., Lee, S., Cummings, G. G. (2022). No More Unimplementable Nurse Workforce Planning. Contemporary Nurse, 1-23.
Oh, H.S., Lee, S.M.*, (2021), Evaluation and Interpretation of Tourist Satisfaction for Local Korean Festivals Using Explainable AI. Sustainability, 13(19), 10901.
Lee, S.M., Lim, D.E., Kang, Y.G., Kim, H.J.*, (2021), Clustered Multi-Task Sequence-to-Sequence Learning for Autonomous Vehicle Repositioning, IEEE Access , 9, 14504-14515.
Park, C. S. Y., Lee, S., Kim, H., Kabak, M. (2021). Diffusion of Innovations-Informed Knowledge Translation Strategy to Implement Optimal Safe Nursing Workforce Policy in Practice. Florence Nightingale Journal of Nursing, 30, 92.
Kim, H.J., Lim, D.E., Lee, S.M.*, (2020), Deep Learning-Based Scheduling for Semiconductor Manufacturing with High Uncertainty of Automated Material Handling System Capability, IEEE Transactions on Semiconductor Manufacturing, 33(1), 13-22.
Lee, S.M., Kim, Y.H., Kahng, H.G., Lee, S.G., Chung, S.H., Cheong, T.S., Shin, K.Y., Park, J.H., Kim, S.B.*, (2020), Intelligent Traffic Control for Autonomous Vehicle Systems Based on Machine Learning, Expert Systems with Applications, 144(15), 113074.
Lee, S.M., Kim, H.J., Kim, S.B.*, (2020), Dynamic Dispatching System Using a Deep Denoising Autoencoder for Semiconductor Manufacturing, Applied Soft Computing, 86, 105904.
Lee, S.M., Kim, S.B.*, (2020), Parallel Simulated Annealing with Greedy Algorithm for Bayesian Network Structure Learning, IEEE Transactions on Knowledge and Data Engineering, (99), 1
Lee, S.M., Kahng, H.G., Cheong, T.S.†, Kim, S.B.*, (2019), Iterative Two-Stage Hybrid Algorithm for Overhead Hoist Transport Lifter Installation in Semiconductor Manufacturing, Journal of Manufacturing Systems, 51, 106-119.
Lee, S.M., Kim, S.B.*, (2018), Identification of I-Equivalent Subnetworks in Bayesian Networks to Incorporate Experts’ Knowledge, Expert Systems, 36(1), e12346, 1-13.
Lee, S.M., Lee, J.H., Na, B.S.*, (2018), Practical Routing Algorithm Using Congestion Monitoring System in Semiconductor Manufacturing, IEEE Transactions on Semiconductor Manufacturing, 31(4), 475-485.
Domestic Journal Papers
Kim, G.Y., Kwak, M.S., Lee, S.M.*, (2022) YOLO-Based Crop Disease Detection in Distribution Process, Society Korean Logistics Journal.
Roh, Y.J., Lee, Y.J., Lee, S.M.*, (2022), ByteTrack-Based Multi-Object Tracking for Recognition of Pedestrian in Crosswalk, Journal of Logistics Science & Technology, 3(2) 56-77.
Won, J.U., Lee, J.W., Kang, M.J., Oh, S.B., Kim, H.J., Lim, D.E.*, (2022), Time Series Forecasting-Based Job Assignment for Autonomous Mobile Robots to Minimize Rundown Losses in Dynamic Job Shop Facilities, The Journal of Society for e-Business Studies, 27(4).
Bang, S.J., Ko, H.J., Lee, S.M.*, (2021), TabNet-based early prediction and interpretation of work-in-process inventory for semiconductor manufacturing, Journal of Computing Science and Engineering.
Kim, H.J., Lim, D.E.*, Lee, S.M. (2019), Development of Deep Learning-Based Scheduling Approach to Improve the Automated Material Handling System Throughput Capacity in a Semiconductor Manufacturing Facility, Journal of the Korea Management Engineers Society.
Cho, Y.S., Lee, S.M., Kim, H.J., Kim, S.B.*, (2018), Detection of Faulty Equipment Sequence of Multivariate Processes in Semiconductor Manufacturing, Korean Institute of Industrial Engineers, 44(5), 325-333.
International Conference Papers
Bang, S.J., Ko, H.J., Lee, S.M.* (June, 2021), Tabular Learning-based early prediction of work-in-process inventory in semiconductor plants, Korea Computer Congress 2021 (KCC2021), Jeju, South Korea.
Lee, S.M., Park, S.H., Sung, Y.Y., Kim S.B.*, (2018), Incremental Learning for Nonstationary Traffic Control in Automated Vehicle Systems, the 13th Data Mining and Decision Analytics Workshop, INFORMS 2018 Annual Meeting, Phoenix, Arizona, US.
Lee, S.M., Kim, S.B.*, (2016), An Inductive Algorithm to Combine Data and Expert Knowledge for Fault Interpretations in Multivariate Monitoring, Proceedings of International Conference on Industrial Engineering, International Journal of Industrial Engineering, Seoul, South Korea.
Yoo, K.D.*, Kang, H., Lee, S.M., (2007), An Autonomous Knowledge Acquisition System Toward the Ubiquitous Knowledge Management, Asia and Pacific Decision Sciences Institute (DSI).
Domestic Conference Papers
Oh,S.B., Bang,S.J, Lee,J.W, Kang,M.J., Koo,J.I., Lee,S.M., 밀링공정의 절삭력 및 마모도 기반 절삭공정 적용제어 강화학습, Korea Data Mining Society, Gangneung, South Korea, 2023 (June 23-24)
Lee,J.W., Lee,S.M., Contextually-Separated Graph Neural Networks for Predicting and Interpreting the Effect of Tailgating on Traffic in Semiconductor Plant, Korea Data Mining Society, Gangneung, South Korea, 2023 (June 23-24)
Lee,Y.J., Jo,Y.W., Park,J.Y., Lee,S.M., 병리학 whole slide image에 적용 가능한 의미론적 분할 및 해석 방법, Korea Data Mining Society, Gangneung, South Korea, 2023 (June 23-24)
Oh,S.B., Kang,M.J., Lee,M.G., Lee,S.M., A Realtime Wearable System for Upper Body Rehabilitation of Disabled, Korea Information Processing Society, Seoul National University, South Korea, 2023 (May 18-20)
Lee, J.W., Lee, S.M., Hybrid Compression Method via Pruning, Knowledge Distillation, and Quantization for Identifying Lightweight Neural Networks, Korea Conference On Software Engineering, Pyeongchang, Korea, 2022 (January 20).
Kang, M.J., Lee, S.M., Explainable Time Series Anomaly Detection for Production Capacity Planning, Korea Conference On Software Engineering, Pyeongchang, Korea, 2022 (January 20).
Working Papers
Predictive Lane Blocking to Avoid Massive Congestion in Large-scale Automated Material Handling Systems
AI Twins: Predictive Learning and Explainable Learning for Fidelity Service of Artificial Intelligence
Novelty Detection and its Explanations for Smart Manufacturing
Credit Card Default Prediction and Explanations by Using TabNet-Based Heterogeneous Ensemble
Augmented Time Series Modeling Using R2 and Dynamic Time Warping To Predict The Number of COVID-19 Confirmed Cases.
Concept Drift Learning for Nonstationary Traffic Speed for Autonomous Vehicle Systems.
Explainable Multivariate Monitoring Using Denoising Convolutional Autoencoder for Long-haul Transfers with High Dimensionality Problem.
Machine Learning-Based Analysis of Foreign Tourists Visiting South Korea
Academic Presentations
International Scholarly Presentations
Kim, H.J., Lim, D.E., Choi, L., Lee, S.M., Predictive Traffic Blocking to Avoid Congestion in Large-scale Automated Material Handling Systems, Winter Simulation Conference, Singapore, 2022 (December 11-14).
Bang, S.J., Ko, H.J., Lee, S.M., Practical Tabular Learning And Interpretation For Predictive Approach In Largescale Semiconductor Manufacturing, INFORMS 2021 Annual Meeting (in Virtual), Anaheim, CA, US, 2021 (October 24-27).
Song, S.A., Bang, S.J., Lee, S.M., Multi-task Attentive Learning And Interpretations For Air Quality Predictions, INFORMS 2021 Annual Meeting (in Virtual), Anaheim, CA, US, 2021 (October 24-27).
Lee, S.M., Park, S.H., Kim, S.B., Incremental Learning for Nonstationary Traffic in Autonomous Vehicle Systems, INFORMS 2018 Annual Meeting, Phoenix, AZ, US, 2018 (November 4-7).
Lee, S.M., Park, S.H., Sung, Y.Y., Kim, S.B., Efficient Model Update with Incremental Concept Drift for Material Handling Systems, the 13th Data Mining and Decision Analytics Workshop, INFORMS, Phoenix, AZ, US, 2018 (November 3).
Lee, S.M., Kim, H.J., Kim, S.B., Dynamic Adjustment of Dispatching Rule Selection via Novelty Detection, INFORMS 2017 Annual Meeting, Houston, TX, US, 2017 (October 22-25).
Lee, S.M., Kim, S.B., Knowledge-driven Inductive Learning Algorithm for Sparse Bayesian Networks, the 4th IEEE International Conference on Industrial Engineering and Applications (IEEE ICIEA), Nagoya, Japan, 2017 (April 21-23).
Lee, S.M., Park, J.H., A Congestion Prediction-Based Dynamic Routing Model in Automated Material Handling Systems, INFORMS 2016 Annual Meeting, Nashville, TN, US, 2016 (November 13-16).
Lee, S.M., Kim, S.B., An Inductive Algorithm to Combine Data and Expert Knowledge for Fault Interpretations in Multivariate Monitoring, International Conference on Industrial Engineering (ICIE), Seoul, Korea, 2016 (October 10-12).
Lee, S.M., Kim, S.B., Multivariate Monitoring of Automated Material Handling Systems in Semiconductor Manufacturing, INFORMS 2015 Annual Meeting, Philadelphia, PA, US, 2015 (November 1-4).
Lee, S.M., Kim, S.B., A Nonparametric Multivariate Monitoring for Automated Material Handling System in a Wafer Fab, International Symposium Manufacturing Intelligence (ISMI), Daejeon, Korea, 2015 (October 16-18).
Domestic Scholarly Presentations
Kang, M.J., Lee, S.M., 데이터 변이에 강건한 컨셉 드리프트 다중학습, Korea Data Mining Society, Seoul, South Korea, 2022 (November 16)
Bang, S.J., Lee, M.G., Lee, S.M., 장애 유형 구분을 위한 변분법 기반 사람 자세 데이터 증강, Korea Data Mining Society, Seoul, South Korea, 2022 (November 16)
Roh,Y,J.,Lee,Y,J.,Lee, S.M.,횡단보도 보행자 인지 향상을 위한 ByteTrack 기반 다중객체추적, Korea Data Mining Society, Seoul, South Korea, 2022 (November 16)
Lee,Y.J., Park,J.Y., Lee,S.M., Seg-grad-cam을 활용한 patch기반의 유방암 탐지에 대한 해석, Korea Data Mining Society, Seoul, South Korea, 2022 (November 16)
Lee,J.W., Lee,S.M., 자율주행 차량 간 정체 구간 예측 및 해석을 위한 그래프 신경망 기반의 이상탐지, Korea Data Mining Society, Seoul, South Korea, 2022 (November 16)
Bang, S.J, Park, K.D., Lee, M.G., Lee, S.M., 사람 자세 추정 기반 데이터의 클래스 불균형 문제 해결을 위한 데이터 증강 기법, Korea Institute of Industrial Engineers, Incheon, South Korea, 2022 (November 4-5)
Oh, S.B., Bang, S.J., Lee, Y.J., Kim, J.Y., Park, K.D., Lee, M.G., Lee, S.M., 장애인 재활운동을 위한 인공지능 서비스 플랫폼 및 기반기술 개발, Korea Institute of Industrial Engineers, Incheon, South Korea (November 4-5)
Kang, M.J., Lee, S.M., 강건한 재공재고 예측을 위한 데이터 변이 인지 및 점진적 학습, Korea Institute of Industrial Engineers, Incheon, South Korea, 2022 (November 4-5)
Lee,Y.J., Park,J.Y., Lee,S.M., U-Net+ResNeSt기반의 유방암 탐지 및 해석, Korea Institute of Industrial Engineers, Incheon, South Korea, 2022 (November 4-5)
Lee,J.W., Lee,S.M., 반도체 팹 자율주행 차량의 정체 및 꼬리물기 탐지 및 해석을 위한 그래프 신경망 기반의 이상탐지, Korea Institute of Industrial Engineers, Incheon, South Korea, 2022 (November 4-5)
Kang, M.J., Bang, S.J., Lee, S.M., DARNN 기반의 설명 가능한 시계열 이상탐지 예측 모델, Korea Institute of Industrial Engineers, Jeju, South Korea, 2022(June 2-5)
Park, S.H., Lee, S.M., Kim, S.B., Concept Drift Learning for Nonstationary Traffic Control in Automated Vehicle Systems, Industrial Engineering & Management Science Conference, Seoul, Korea, 2018 (November 9).
Park, Y.J., Lee, H.K., Do, H., Lee, S.M., Kahng, H., Kim, S.B., StarCraft Unit Control Using Reinforcement Learning, Korea Business Intelligence Data Mining Society, Seoul, Korea, 2018 (April 11).
Do, H.R., Kahng, H.G., Lee, S.M., Lee, M.J., Chae, S.Y., Cho, Y.S., Normal and Abnormal Signal Classification for Vehicle Sensor Datasets, The Spring Conference of the Korean Reliability Society, Jeju, Republic of Korea, 2017 (May 25).
Lee, S.M., Kim, S.B., A Parallel Simulated Reannealing Approach for Structure Learning of Bayesian Networks, Industrial Engineering & Management Science Conference, Daejeon, Korea, 2017 (November 4).
Lee, S.M., Kim, S.B., Artificial Intelligence for dynamic adjustment of routing selection in Semiconductor Manufacturing, Industrial Engineering & Management Science Conference, Seoul, Korea, 2016 (November 19).
Invited Presentations
Invited Presentations
Lee, S.M., Anticipatory and Intelligent Traffic Control for Material Handling Systems in Semiconductor Manufacturing, Micron Technology Corporation, DS Sharing Month: ML Modelling Conference (online), Singapore, 2024 (January 25).
Lee, S.M., Core AI Application and Insights from Case Studies, Micron Technology Corporation, DS Sharing Month: ML Modelling Conference, Singapore (online), 2024 (January 25).
Lee, S.M., How Quality Control is Benefiting Manufacturing System Quality in Production Industry, Korea University, Seoul, 2023 (November 6).
Lee, S.M., Exploring Proper AI Technology, Education, and Application through AI Research Cases, International Youth Exchange Network, 2023 (November 3).
Lee, S.M., Case Studies on Digital Pathologies with AI, Korea University, Seoul, (October 5, 2023).
Lee, S.M., AI Challenges All You Need to Know for 2023, Korea Copyright Protection Agency (한국저작권보호원), South Korea, 2023 (March 23).
Lee, S.M., What is AI? Everything to know about artificial intelligence, Namdaemoon Middle School (남대문중학교), South Korea, 2022 (December 29).
Lee, S.M., What movies you have seen about artificial intelligence?, Kwangwoon AI high School (광운AI고등학교), South Korea, 2022 (December 26).
Lee, S.M., Comprehensive Review of Graph Neural Networks and its Applications, Samsung Electronics (삼성전자 DIT센터), South Korea, 2022 (November 28).
Lee, S.M., How to Accelerate AI with Discrete Event Simulation, Korea Railroad Research Institute (한국철도기술연구원), South Korea, 2022 (August 26).
Lee, S.M.,Introduction to AI Technology Based on Research Cases, Triniti Coporation (트리니티), South Korea, 2022 (June 23).
Lee, S.M., Introduction to Interesting AI Applications and Its Successful Stories, Hana High School (하나고등학교), South Korea, 2022 (June 6).
Lee, S.M., AI core Technology for Self-Defense, The Korean Institute of Defense Technology (한국국방기술학회), South Korea, 2022 (April 20).
Lee, S.M., Practical AI issues and trend with Applications, Gyeongsang National University (경상국립대학교), South Korea, 2022 (March 4).
Lee, S.M., Dynamic Adjustment for Lot Dispatching Problem in Semiconductor Manufacturing, Korea National University of Transportation (한국교통대학교), ChungCheong, South Korea, 2022 (January 28).
Lee, S.M., Maximize the Utility and the Practicality of AI Service and its Recent Challenges, S2W, PanKyo, South Korea, 2021 (November 23).
Lee, S.M., How AI AI-Based Intelligent Manufacturing and, Cubictek (큐빅테크), Seoul, South Korea, 2021 (November 22).
Lee, S.M., Artificial Intelligence: Current and Future Paradigms, Kwangwoon AI High School (광운AI고등학교), Seoul, South Korea, 2021 (November 19).
Lee, S.M., Artificial intelligence that makes us more human, Namdaemun Middle School (남대문중학교), Software-Centered University Project, Seoul, South Korea, 2021 (July 5).
Lee, S.M., Special lecture on informatization training for teachers, (beginner's course), Software-Centered University Project (소프트웨어융합대학), Online, South Korea, 2021 (August 2).
Lee, S.M., Special lecture on informatization training for teachers, (intermediate course), Software-Centered University Project (소프트웨어융합대학), Online, South Korea, 2021 (August 2).
Lee, S.M., Digital Twins with Artificial Intelligence, Korea University and SK Hynix, Seoul, South Korea, 2021 (March 22).
Lee, S.M., Introduction to eXplainable AI, Chungnam University (충남대학교), Daejeon, South Korea, 2021 (February 25).
Lee, S.M., The Future World with AI and Big Data, (Keynote speech), Korea MICE Tourism Society (한국마이스관광학회), Seoul, South Korea, 2020 (December 22).
Lee, S.M., Emerging Topics in Artificial Intelligence, Korea National University of Transportation (한국교통대학교), ChungCheong, South Korea, 2020 (December 2).
Lee, S.M., Industry 4.0 and AI Best Practices, Software-centered University Project (소프트웨어융합대학), Kwangwoon University, Seoul, South Korea, 2020 (October 27).
Lee, S.M., The reality of Artificial Intelligence and recent challenges, Korea Electronics Technology Institute (한국전자기술연구원), Jeju, South Korea, 2020 (August 20-21).
Lee, S.M., AI and its Applications for Intelligent Manufacturing, Kangwon National University (강원대학교), Chuncheon, Korea, (supported by LINC+), 2019 (January 24).
Lee, S.M., AI Applications to Automated Material Handling Systems, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, 2019 (July 5).
Lee, S.M., Special lecture on IT development business, Kangwon National University (강원대학교), Chuncheon, South Korea, 2018 (December 18).
Patents
Domestic patents
오수빈 김주현 곽소정 김채현 조민수 이상민, 멀티모달 학습을 이용한 위법 광고 탐지 장치 및 방법, 10-2022-0164376, (2022-NOV-30)
방성진, 김재윤, 이상민, 포즈 분석 기반 재활운동 모니터링 장치 및 방법, 10-2022-0186072, (2022-DEC-27)
강민정, 김준혁, 이상민, 전염병 분석을 위한 데이터의 증강을 지원하는 서비스 제공 장치 및 방법, 10-2022-0005784, (2022-JAN-7)
이상민, 박성호, 컨셉 드리프트 검출 장치와 이를 적용한 적응적 예측 시스템 및 그 방법 , 10-2021-0188238, (2021-Dec-27)
방성진, 이상민, 경로 변동성 정보를 제공하는 내비게이션 서비스를 위한 서비스 제공 장치 및 방법, 10-2021-0172024, (2021-Dec-3)
권나은, 김병윤, 김민경, 노승현, 임세진, 이상민, 박규동, 게임 아이템의 가격 분석을 위한 서비스 제공 장치 및 방법, 10-2021-0159375, (2021-Nov-18)
송선아, 방성진, 이상민, 미세먼지 및 초미세먼지 예측을 위한 서비스 제공 장치 및 방법, 10-2021-0159376, (2021-Nov-18)
이상민, 김해중,반도체 제조에서의 물류 자동화 시스템을 위한 동적 할당 장치, 및 그것을 이용하는 물류 자동화 시스템 (DYNAMIC DISPATCHING APPARATUS FOR AUTOMATED MATERIAL HANDLING SYSTEM IN SEMICONDUCTOR MANUFACTORING, AND AUTOMATED MATERIAL HANDLING SYSTEM USING THE SAME), 1020190084469, 2019