College of Engineering
- Systems Management Engineering
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Associate Professor
Data Mining
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KANG, SEOKHO
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Research Interest
Data Mining
Machine Learning
Data-Driven Modeling
Education
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(2015.8) Ph.D., Industrial Engineering, Seoul National University, Seoul, Korea
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(2011.2) B.S., Industrial Engineering, Seoul National University, Seoul, Korea
Experience
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(2017.9 ~ present) Associate Professor, Department of Systems Management Engineering (Industrial Engineering),Sungkyunkwan University, Suwon, Korea
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(2018.1 ~ 12) Visiting Scholar, Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
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(2017.9 ~ 2023.8) Assistant Professor, Department of Systems Management Engineering (Industrial Engineering),Sungkyunkwan University, Suwon, Korea
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(2015.9 ~ 2017.8) Research Staff Member, Samsung Advanced Institute of Technology, Suwon, Korea
Journal Articles
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(2024)
Knowledge distillation with insufficient training data for regression.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.
132,
1
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(2024)
Dynamic ensemble of regression neural networks based on predictive uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING.
190,
1
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(2024)
Data-driven autonomous operation of VOCs removal system.
SCIENTIFIC REPORTS.
14,
1
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(2024)
Improving chemical reaction yield prediction using pre-trained graph neural networks.
JOURNAL OF CHEMINFORMATICS.
16,
1
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(2024)
Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations.
IEEE ACCESS.
12,
1
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(2023)
Learning from single-defect wafer maps to classify mixed-defect wafer maps.
Expert Systems with Applications.
233,
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(2023)
Retention Time Prediction through Learning from a Small Training Data Set with a Pretrained Graph Neural Network.
ANALYTICAL CHEMISTRY.
95,
47
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(2023)
Optimization of missing value imputation for neural networks.
INFORMATION SCIENCES.
649,
-
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(2023)
Supervised contrastive learning for wafer map pattern classification.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.
126,
-
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(2023)
Efficient improvement of classification accuracy via selective test-time augmentation.
INFORMATION SCIENCES.
642,
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(2023)
Surrogate approach to uncertainty quantification of neural networks for regression.
APPLIED SOFT COMPUTING.
139,
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(2023)
Semi-supervised rotation-invariant representation learning for wafer map pattern analysis.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.
120,
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(2023)
Class-Adaptive Data Augmentation for Image Classification.
IEEE ACCESS.
11,
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(2022)
Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions.
JOURNAL OF CHEMICAL INFORMATION AND MODELING.
62,
23
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(2022)
Scalable graph neural network for NMR chemical shift prediction.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS.
24,
43
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(2022)
Dynamic imputation for improved training of neural network with missing values.
EXPERT SYSTEMS WITH APPLICATIONS.
194,
1
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(2022)
ADANOISE: Training neural networks with adaptive noise for imbalanced data classification.
EXPERT SYSTEMS WITH APPLICATIONS.
192,
1
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(2022)
Semi-automatic wafer map pattern classification with convolutional neural networks.
COMPUTERS & INDUSTRIAL ENGINEERING.
166,
1
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(2022)
Domain-adaptive active learning for cost-effective virtual metrology modeling.
COMPUTERS IN INDUSTRY.
135,
1
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(2022)
Uncertainty-aware prediction of chemical reaction yields with graph neural networks.
JOURNAL OF CHEMINFORMATICS.
14,
1
Patent/Intellectual Property
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Method and apparatus for generating chemical structure.
US16/897,456.
20231226.
UNITED STATES
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뉴럴 네트워크를 이용하여 화학 구조를 생성하는 장치 및 방법.
10-2018-0006275.
20231005.
KOREA, REPUBLIC OF
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신규 물질의 구조 생성 방법 및 장치.
10-2016-0097764.
20230414.
KOREA, REPUBLIC OF
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Method and apparatus for generating a chemical structure using a neural network.
US16156709.
20230214.
UNITED STATES
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유기금속 화합물 및 이를 포함한 유기 발광 소자.
10-2017-0111043.
20221005.
KOREA, REPUBLIC OF
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Method and apparatus for new material discovery using machine learning on targeted physical property.
US15/664,960.
20210323.
UNITED STATES
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Organometallic compound and organic light-emitting device including the same.
US16/057,929.
20210309.
UNITED STATES
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회귀 분석을 위한 리레이블링 방법(RE-LABELING METHOD FOR REGRESSION).
10-2018-0014556.
20200121.
KOREA, REPUBLIC OF
Conference Paper
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(2023)
Local test-time training of neural network.
2023 한국데이터마이닝학회 추계학술대회.
KOREA, REPUBLIC OF
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(2023)
일관성 정규화를 활용한 이미지 왜곡에 강건한 지도학습.
2023 한국데이터마이닝학회 추계학술대회.
KOREA, REPUBLIC OF
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(2023)
효율적인 제품 설계 시뮬레이션을 위한 스트림 기반 능동학습 전략.
2023 한국데이터마이닝학회 추계학술대회.
KOREA, REPUBLIC OF
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(2023)
Deep learning for NMR analysis.
제54회 한국생약학회 정기총회 및 학술대회.
KOREA, REPUBLIC OF
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(2023)
A data-driven optimization framework for automating product design.
2023 INFORMS Annual Meeting.
UNITED STATES
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(2023)
Consistency regularization for distortion-robust supervised learning.
2023 INFORMS Annual Meeting.
UNITED STATES
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(2023)
Improving knowledge distillation for regression under data insufficiency.
2023 INFORMS Annual Meeting.
UNITED STATES
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(2023)
mixup을 활용한 BYOL의 작은 미니배치 학습 개선.
2023 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2023)
이미지 왜곡에 강건한 지도학습을 위한 일관성 정규화.
2023 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2023)
대규모 사전학습 단백질 언어 모델과 동적 시퀀스 샘플링을 이용한 EC 번호 예측 성능 개선.
2023 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2023)
사전학습 그래프 신경망을 활용한 화학반응 수율 예측 개선.
2023 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2023)
예측 불확실성을 활용한 회귀 신경망의 동적 앙상블.
2023 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2023)
추가 학습 과정 없는 로컬 모델들의 동적 앙상블 기법.
2023 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2022)
Data-free approach to constructing ensemble of local experts.
2022 한국데이터마이닝학회 추계학술대회.
KOREA, REPUBLIC OF
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(2022)
Knowledge distillation with insufficient training data for regression.
2022 한국데이터마이닝학회 추계학술대회.
KOREA, REPUBLIC OF
-
(2022)
Supervised contrastive learning for wafer map pattern classification.
2022 한국데이터마이닝학회 추계학술대회.
KOREA, REPUBLIC OF
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(2022)
빠르고 효율적인 이상 탐지를 위한 점수 증류 기법.
2022 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2022)
선택적 Test-Time Augmentation을 이용한 효율적인 분류 정확도 향상.
2022 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2022)
이미지 분류를 위한 클래스 적합형 데이터 증강 기법.
2022 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF
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(2022)
학습 데이터 부족 상황에서의 회귀 인공신경망 지식 증류 기법.
2022 한국컴퓨터종합학술대회.
KOREA, REPUBLIC OF