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  • Systems Management Engineering

Systems Management Engineering

  • Associate Professor Data Mining
  • KANG, SEOKHO 홈페이지 바로가기
    Lab Data Mining Lab
CV1

Research Interest

Data Mining 
Machine Learning 
Industrial Artificial Inteiligence

Education

  • (2015.8) Ph.D., Industrial Engineering, Seoul National University, Seoul, Korea
  • (2011.2) B.S., Industrial Engineering, Seoul National University, Seoul, Korea

Experience

  • (2017.9 ~ present) Associate Professor, Department of Systems Management Engineering (Industrial Engineering),Sungkyunkwan University, Suwon, Korea
  • (2018.1 ~ 12) Visiting Scholar, Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
  • (2017.9 ~ 2023.8) Assistant Professor, Department of Systems Management Engineering (Industrial Engineering),Sungkyunkwan University, Suwon, Korea
  • (2015.9 ~ 2017.8) Research Staff Member, Samsung Advanced Institute of Technology, Suwon, Korea

Journal Articles

  • (2025)  Why does this query need to be labeled?: Enhancing active learning through explanation-based interventions in query selection.  EXPERT SYSTEMS WITH APPLICATIONS.  290,  1
  • (2025)  Interpretation of chemical reaction yields with graph neural additive network.  MACHINE LEARNING-SCIENCE AND TECHNOLOGY.  6,  1
  • (2025)  Frost forecasting via weakly-supervised semantic segmentation of satellite imagery.  GISCIENCE & REMOTE SENSING.  62,  1
  • (2025)  GK2A 자료를 이용한 약한 지도 학습 기반의 전천(All-Sky) 해수면온도 산출.  대한원격탐사학회지.  41,  2
  • (2025)  Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop.  JOURNAL OF CHEMINFORMATICS.  17,  1
  • (2024)  Training-free approach to constructing ensemble of local experts.  Expert Systems with Applications.  257,  1
  • (2024)  산업공학에서의 데이터과학: 과거와 현재, 그리고 미래.  대한산업공학회지.  50,  6
  • (2024)  CFD-ML: Stream-based active learning of computational fluid dynamics simulations for efficient product design.  COMPUTERS IN INDUSTRY.  161,  1
  • (2024)  Score distillation for anomaly detection.  KNOWLEDGE-BASED SYSTEMS.  295,  1
  • (2024)  Knowledge distillation with insufficient training data for regression.  ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.  132,  1
  • (2024)  Dynamic ensemble of regression neural networks based on predictive uncertainty.  COMPUTERS & INDUSTRIAL ENGINEERING.  190,  1
  • (2024)  Data-driven autonomous operation of VOCs removal system.  SCIENTIFIC REPORTS.  14,  1
  • (2024)  Improving chemical reaction yield prediction using pre-trained graph neural networks.  JOURNAL OF CHEMINFORMATICS.  16,  1
  • (2024)  Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations.  IEEE ACCESS.  12,  1
  • (2023)  Learning from single-defect wafer maps to classify mixed-defect wafer maps.  Expert Systems with Applications.  233, 
  • (2023)  Retention Time Prediction through Learning from a Small Training Data Set with a Pretrained Graph Neural Network.  ANALYTICAL CHEMISTRY.  95,  47
  • (2023)  Optimization of missing value imputation for neural networks.  INFORMATION SCIENCES.  649,  -
  • (2023)  Supervised contrastive learning for wafer map pattern classification.  ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.  126,  -
  • (2023)  Efficient improvement of classification accuracy via selective test-time augmentation.  INFORMATION SCIENCES.  642,  -
  • (2023)  Surrogate approach to uncertainty quantification of neural networks for regression.  APPLIED SOFT COMPUTING.  139,  -

Patent/Intellectual Property

  • Method and apparatus for generating chemical structure.  US16/897,456.  20231226.  UNITED STATES
  • 뉴럴 네트워크를 이용하여 화학 구조를 생성하는 장치 및 방법.  10-2018-0006275.  20231005.  KOREA, REPUBLIC OF
  • 신규 물질의 구조 생성 방법 및 장치.  10-2016-0097764.  20230414.  KOREA, REPUBLIC OF
  • Method and apparatus for generating a chemical structure using a neural network.  US16156709.  20230214.  UNITED STATES
  • 유기금속 화합물 및 이를 포함한 유기 발광 소자.  10-2017-0111043.  20221005.  KOREA, REPUBLIC OF
  • Method and apparatus for new material discovery using machine learning on targeted physical property.  US15/664,960.  20210323.  UNITED STATES
  • Organometallic compound and organic light-emitting device including the same.  US16/057,929.  20210309.  UNITED STATES
  • 회귀 분석을 위한 리레이블링 방법(RE-LABELING METHOD FOR REGRESSION).  10-2018-0014556.  20200121.  KOREA, REPUBLIC OF

Conference Paper

  • (2025)  레이블 노이즈 환경에서의 강건한 분포 외 데이터 탐지.  2025 한국컴퓨터종합학술대회.  KOREA, REPUBLIC OF
  • (2025)  심층 신경망 내 레이어 간 균형 학습을 위한 스펙트럴 놈 분산 정규화.  2025 한국컴퓨터종합학술대회.  KOREA, REPUBLIC OF
  • (2025)  이미지 이상 탐지를 위한 모델 독립적 사후 설명 방법.  2025 한국컴퓨터종합학술대회.  KOREA, REPUBLIC OF
  • (2025)  전경 중심 확산 모델 기반 비지도 이상 탐지.  2025 한국컴퓨터종합학술대회.  KOREA, REPUBLIC OF
  • (2025)  패치 기반 표현학습을 활용한 비지도 시계열 이상탐지.  2025 한국컴퓨터종합학술대회.  KOREA, REPUBLIC OF
  • (2024)  약지도학습(Weakly-Supervised Learning)의 산업 응용 사례.  한국데이터마이닝학회 2024 추계학술대회.  KOREA, REPUBLIC OF
  • (2024)  Mixup Your Own Latent: Efficient and Robust Self-Supervised Learning on Small Images.  European Conference on Artificial Intelligence.  SPAIN
  • (2024)  Industrial anomaly detection based on foreground-focused diffusion.  2024 INFORMS Annual Meeting.  UNITED STATES
  • (2024)  Model-agnostic post-hoc explanation for image anomaly detection.  2024 INFORMS Annual Meeting.  UNITED STATES
  • (2024)  On the use of clustering-based pseudo-class labels for out-of-distribution detection.  2024 INFORMS Annual Meeting.  UNITED STATES
  • (2024)  Patch-based representation learning for time-series anomaly detection.  2024 INFORMS Annual Meeting.  UNITED STATES
  • (2024)  Training graph neural networks with consistency regularization for molecular property prediction.  2024 INFORMS Annual Meeting.  UNITED STATES
  • (2023)  Local test-time training of neural network.  2023 한국데이터마이닝학회 추계학술대회.  KOREA, REPUBLIC OF
  • (2023)  일관성 정규화를 활용한 이미지 왜곡에 강건한 지도학습.  2023 한국데이터마이닝학회 추계학술대회.  KOREA, REPUBLIC OF
  • (2023)  효율적인 제품 설계 시뮬레이션을 위한 스트림 기반 능동학습 전략.  2023 한국데이터마이닝학회 추계학술대회.  KOREA, REPUBLIC OF
  • (2023)  Deep learning for NMR analysis.  제54회 한국생약학회 정기총회 및 학술대회.  KOREA, REPUBLIC OF
  • (2023)  A data-driven optimization framework for automating product design.  2023 INFORMS Annual Meeting.  UNITED STATES
  • (2023)  Consistency regularization for distortion-robust supervised learning.  2023 INFORMS Annual Meeting.  UNITED STATES
  • (2023)  Improving knowledge distillation for regression under data insufficiency.  2023 INFORMS Annual Meeting.  UNITED STATES
  • (2023)  이미지 왜곡에 강건한 지도학습을 위한 일관성 정규화.  2023 한국컴퓨터종합학술대회.  KOREA, REPUBLIC OF