Hyungu Kang, Seokho Kang, "Consistency regularization for distortion-robust supervised learning", 2023 INFORMS Annual Meeting, Oct 2023, Phoenix, AZ, USA.

Jongmin Han, Seokho Kang, "A data-driven optimization framework for automating product design", 2023 INFORMS Annual Meeting, Oct 2023, Phoenix, AZ, USA.

Myeonginn Kang, Seokho Kang, "Improving knowledge distillation for regression under data insufficiency", 2023 INFORMS Annual Meeting, Oct 2023, Phoenix, AZ, USA.

Hyungu Kang, Seokho Kang, "Unsupervised representation learning based on triplet loss for wafer map pattern analysis", 2021 INFORMS Annual Meeting, Oct 2021, Online.

Jaeho Kim, Seokho Kang, "An efficient post-processing method based on recursive feedback for improving image segmentation", 2021 INFORMS Annual Meeting, Oct 2021, Online.

Jongmin Han, Seokho Kang, "Optimization of missing value imputation for neural networks", 2021 INFORMS Annual Meeting, Oct 2021, Online.

Myeonginn Kang, Seokho Kang, "Surrogate approach to uncertainty quantification of neural networks for regression", 2021 INFORMS Annual Meeting, Oct 2021, Online.

Hyungu Kang, Seokho Kang, "Learning with handcrafted and convolutional features for wafer map pattern classification", 2020 INFORMS Annual Meeting, Nov 2020, Online.

Jongmin Han, Seokho Kang, "Active learning for incomplete data considering imputation uncertainty", 2020 INFORMS Annual Meeting, Nov 2020, Online.

Myeonginn Kang, Seokho Kang, "Data-free knowledge distillation in neural networks for regression", 2020 INFORMS Annual Meeting, Nov 2020, Online.

Kyoham Shin, Jongmin Han, Seokho Kang, "Multiple imputation-based oversampling for incomplete and imbalanced data classification", 2020 INFORMS Annual Meeting, Nov 2020, Online.

Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Kernel rotation forests for classification", The 1st International Workshop on Conceptual Modeling for Big Data and Smart Computing - 2020 IEEE International Conference on Big Data and Smart Computing, Feb 2020, Busan, Korea.

Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Cost-effective construction of convolutional neural network for wafer map pattern classification", 2019 INFORMS Annual Meeting, Oct 2019, Seattle, WA, USA.

Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho, "Molecular geometry prediction using a deep generative graph neural network", Workshop on Representation Learning on Graphs and Manifolds - The 7th International Conference on Learning Representations, May 2019, New Orleans, LA, USA.

Youn-Suk Choi, Seokho Kang, Youngchun Kwon, Inkoo Kim, Jiho Yoo, Kyungdoc Kim, Hyo Sug Lee, "Evolutionary design of organic molecules based on deep learning and genetic algorithm", The 256th ACS National Meeting & Exposition, Aug 2018, Boston, MA, USA.

Seokho Kang, Kyunghyun Cho, "Conditional molecular design with deep generative models", The 2nd NYU Biomedical and Biosystems Conference, Jun 2018, New York, NY, USA.

Dongil Kim, Seokho Kang, Sungzoon Cho, "Margin-based pattern selection for support vector machines", 2017 INFORMS Annual Meeting, Oct 2017, Houston, TX, USA.

Youngchun Kwon, Seokho Kang, Inkoo Kim, Kyungdoc Kim, Jiho Yoo, Hyo Sug Lee, Jaikwang Shin, “Intentional diversification of molecular library”, The 254th ACS National Meeting & Exposition, Aug 2017, Washington, DC, USA.

Seokho Kang, Jiho Yoo, Youngchun Kwon, Kyungdoc Kim, Dongseon Lee, Tae-Rae Kim, Inkoo Kim, Youngmin Nam, Won-Joon Son, Youn-Suk Choi, Hyo Sug Lee, Jaikwang Shin, "Data-driven inverse design of organic materials with deep learning", 2016 MRS Fall Meeting & Exhibit, Dec 2016, Boston, MA, USA.

Misuk Kim, Seokho Kang, Jehyuk Lee, Hyunchang Cho, Sungzoon Cho, "Virtual metrology for copper-clad laminate manufacturing", 2015 INFORMS Annual Meeting, Nov 2015, Philadelphia, PA, USA.

Seokho Kang, Sungzoon Cho, Daewoong An, Jaeyoung Rim, Woonghee Kim, "Predicting final yield in semiconductor manufacturing using wafer test data", 2015 INFORMS Conference on Business Analytics & Operations Research, Apr 2015, Huntington Beach, CA, USA.

Eunjeong Park, Hyunjoong Kim, Seokho Kang, Sungzoon Cho, Yongki Lee, "Bridging the semantic gap in multimedia retrieval with topic extraction from user reviews", 2014 INFORMS Conference on the Business of Big Data, Jun 2014, San Jose, CA, USA.

Jooseoung Park, Seung-kyung Lee, Seokho Kang, Young Soo Kim, Ji Young Kim, Dong Seuk Choi, Sungzoon Cho, "Understanding HVAC usage logs for energy saving decision making", The 17th International Conference on Industrial Engineering: Theory, Applications and Practice, Oct 2013, Busan, Korea.

Soojin Kim, Keunyoung Seo, Seokho Kang, Sungzoon Cho, "Influence of organizational tenure on military team performance", The 53rd Annual International Military Testing Association Conference, Nov 2011, Bali, Indonesia.

Youngjae Bae, Kyunghye Nam, Seokho Kang, "효율적인 제품 설계 시뮬레이션을 위한 스트림 기반 능동학습 전략", 2023 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2023, Seoul, Korea.

Hyungu Kang, Seokho Kang, "일관성 정규화를 활용한 이미지 왜곡에 강건한 지도학습", 2023 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2023, Seoul, Korea.

Myeonginn Kang, Seokho Kang, "Local test-time training of neural network", 2023 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2023, Seoul, Korea.

Seokho Kang, "Deep learning for NMR analysis", The 54th Annual Meeting & Symposium of the Korean Society of Pharmacognosy (KSP), Nov 2023, Seoul, Korea.

김나래, 배영재, 김성천, 고성욱, 강석호, "신경망을 활용한 제습 로터 핵심 설계 변수 탐색과 제약 조건 기반 최적화", 2023 Summer Conference of the Society for Computational Design and Engineering (CDE), Aug 2023, Jeju, Korea.

남경혜, 배영재, 나혜원, 강석호, "능동학습을 활용한 팬 유동 해석 효율화 방안", 2023 Summer Conference of the Society for Computational Design and Engineering (CDE), Aug 2023, Jeju, Korea.

Youngjae Bae, Hyungu Kang, Eugene Yang, Seokho Kang, Seungyeon Jung, Gyoungho Choi, Yunho Yun, Jongsun Park, Janghyuk Son, "Improving EC number prediction using large-scale pretrained protein language model and dynamic sequence sampling", 2023 Korea Computer Congress (KCC), Jun 2023, Jeju, Korea. (Best Paper Award)

Yoonhyung Lee, Seokho Kang, "Dynamic ensemble of regression networks using predictive uncertainty", 2023 Korea Computer Congress (KCC), Jun 2023, Jeju, Korea.

Sunbin Lee, Seokho Kang, "Dynamic ensemble of local models without additional training", 2023 Korea Computer Congress (KCC), Jun 2023, Jeju, Korea. (Best Paper Award)

Eugene Yang, Seokho Kang, "Improving small minibatch training for BYOL using mixup", 2023 Korea Computer Congress (KCC), Jun 2023, Jeju, Korea.

Hyungu Kang, Seokho Kang, "Consistency regularization for distortion-robust supervised learning", 2023 Korea Computer Congress (KCC), Jun 2023, Jeju, Korea.

Jongmin Han, Seokho Kang, "Improving chemical reaction yield prediction using pretrained graph neural networks", 2023 Korea Computer Congress (KCC), Jun 2023, Jeju, Korea.

Youngjae Bae, Seokho Kang, "Supervised contrastive learning for wafer map pattern classification", 2022 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2022, Seoul, Korea.

Myeonginn Kang, Seokho Kang, "Knowledge distillation with insufficient training data for regression", 2022 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2022, Seoul, Korea.

Sunbin Lee, Seokho Kang, "Data-free approach to constructing ensemble of local experts", 2022 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2022, Seoul, Korea.

Youngjae Bae, Seokho Kang, "Supervised contrastive learning for wafer map pattern classification", 2022 Korea Computer Congress (KCC), Jun 2022, Jeju, Korea.

Jisu Yoo, Seokho Kang, "Class-adaptive data augmentation for image classification", 2022 Korea Computer Congress (KCC), Jun 2022, Jeju, Korea. (Best Paper Award)

Jeongmin Hong, Seokho Kang, "Score distillation for fast and efficient anomaly detection", 2022 Korea Computer Congress (KCC), Jun 2022, Jeju, Korea. (Best Paper Award)

Jongwook Son, Seokho Kang, "Efficient improvement of classification accuracy via selective test-time augmentation", 2022 Korea Computer Congress (KCC), Jun 2022, Jeju, Korea. (Best Paper Award)

Jongmin Han, Hyungu Kang, Seokho Kang, Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, "Scalable graph neural network for NMR chemical shift prediction", 2022 Korea Computer Congress (KCC), Jun 2022, Jeju, Korea.

Myeonginn Kang, Seokho Kang, "Knowledge distillation in artificial neural network with insufficient training data for regression", 2022 Korea Computer Congress (KCC), Jun 2022, Jeju, Korea. (Best Paper Award)

김양준, 강명인, 한종민, 강석호, "인공지능 기반 VOCs 농축 산화 시스템 제어 최적화", 2021 Summer Conference of the Society for Computational Design and Engineering (CDE), Aug 2021, Jeju, Korea.

Hyungu Kang, Seokho Kang, "Wafer map pattern analysis via semi-supervised learning of rotation-invariant representations", 2021 Conference of the Korea Data Mining Society (KDMS), Nov 2021, Seoul, Korea.

Hyungu Kang, Seokho Kang, "Unsupervised representation learning based on triplet loss for wafer map pattern analysis", 2021 Korea Computer Congress (KCC), Jun 2021, Jeju, Korea. (Best Paper Award)

Jaeho Kim, Seokho Kang, "An efficient model-agnostic post-processing method based on recursive feedback for improving image segmentation", 2021 Korea Computer Congress (KCC), Jun 2021, Jeju, Korea. (Best Paper Award)

Jongmin Han, Seokho Kang, "Optimization of missing value imputation for neural networks", 2021 Korea Computer Congress (KCC), Jun 2021, Jeju, Korea. (Best Paper Award)

Myeonginn Kang, Seokho Kang, "Surrogate approach to uncertainty quantification of neural networks for regression", 2021 Korea Computer Congress (KCC), Jun 2021, Jeju, Korea. (Best Paper Award)

Hyungu Kang, Myeonginn Kang, Seokho Kang, Kyuhyup Oh, "On the relevance of source domain for transfer learning in gastroscopy image classification and segmentation", 2021 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), Jun 2021, Jeju, Korea.

Jongmin Han, Jaeho Kim, Seokho Kang, Kyuhyup Oh, "A comparative study of explanation methods for gastroscopy image classification", 2021 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), Jun 2021, Jeju, Korea.

Jaeho Kim, Hyungu Kang, Seokho Kang, Kyuhyup Oh, "A comparative study of uncertainty quantification methods for medical image segmentation", 2021 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), Jun 2021, Jeju, Korea.

Jaeho Kim, Seokho Kang, "A comparative study of anomaly segmentation approaches in steel defect detection", 2020 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2020, Seoul, Korea.

Jongmin Han, Seokho Kang, "Training neural networks with missing data using dynamic imputation", 2020 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2020, Seoul, Korea.

Myeonginn Kang, Seokho Kang, "Uncertainty quantification of neural networks by zero-shot knowledge distillation", 2020 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2020, Seoul, Korea.

Suhee Yoon, Seokho Kang, "Semi-automatic wafer map pattern classification with uncertainty-based reject option", 2020 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2020, Seoul, Korea.

Myeonginn Kang, Seokho Kang, Kyuhyup Oh, "The effect of data augmentation and transfer learning on gastrointestinal endoscopic image classification/segmentation", 2020 Korea Computer Congress (KCC), Jul 2020, Online.

Hyungu Kang, Seokho Kang, "Learning with handcrafted and convolutional features for wafer map defect pattern classification", 2020 Korea Computer Congress (KCC), Jul 2020, Online. (Best Paper Award)

Jongmin Han, Seokho Kang, "Active learning for incomplete data considering imputation uncertainty", 2020 Korea Computer Congress (KCC), Jul 2020, Online. (Best Paper Award)

Kyoham Shin, Jongmin Han, Seokho Kang, "Multiple imputation-based oversampling for incomplete and imbalanced data classification", 2020 Korea Computer Congress (KCC), Jul 2020, Online. (Best Paper Award)

Hyein Kim, Jeongin Koo, Seokho Kang, "A soft labeling approach to product failure prediction", 2019 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2019, Seoul, Korea.

Suhee Yoon, Seokho Kang, "Active learning of graph neural network for molecular property prediction", 2019 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2019, Seoul, Korea.

Myeonginn Kang, Seokho Kang, "Zero-shot knowledge distillation for regression", 2019 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2019, Seoul, Korea. (Best Paper Award)

Kyoham Shin, Seokho Kang, "Training neural networks with adaptive noise for imbalanced data classification", 2019 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2019, Seoul, Korea. (Best Paper Award)

Suhee Yoon, Seokho Kang, "Active learning of graph neural network for molecular property prediction", 2019 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2019, Seoul, Korea.

Myeonginn Kang, Seokho Kang, "Zero-shot knowledge distillation for regression", 2019 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2019, Seoul, Korea.

Kyoham Shin, Seokho Kang, "Training neural networks with adaptive oversampling at hidden layers for imbalanced data classification", 2019 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2019, Seoul, Korea.

Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Active inspection for cost-effective fault prediction in manufacturing process", 2019 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2019, Seoul, Korea.

Seokho Kang, Jae-Yoon Jung, Kwanho Kim, Kyuhyup Oh, "Development of process and measures for artificial intelligence software verification based on medical image", 2019 Fall Conference of the Society for e-Business Studies, Nov 2019, Seoul, Korea.

Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Active learning of convolutional neural networks for cost-effective wafer map pattern classification", 2019 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), Apr 2019, Gwangju, Korea.

Seokho Kang, "Model validation under class imbalance scenarios", 2017 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2017, Busan, Korea.

Seokho Kang, "Efficient predictive modeling under practical constraints", 2017 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Sep 2017, Daejeon, Korea.

Dongil Kim, Seokho Kang, Sungzoon Cho, "Efficient pattern selection for support vector machines", 2017 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), Apr 2017, Yeosu, Korea.

Dongil Kim, Seokho Kang, Sungzoon Cho, "Training pattern selection for support vector machines and its application to quality prediction", 2016 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2016, Seoul, Korea.

Dongil Kim, Seokho Kang, Sungzoon Cho, "Training pattern selection for one-class support vector machines", 2016 Spring Conference of the Korea Data Mining Society (KDMS), Apr 2016.

Dongil Kim, Seokho Kang, Sungzoon Cho, "Expected margin-based pattern selection for support vector machines", 2016 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), Apr 2016.

Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho, "Identifying the cause of product defects using after-sales service data", 2015 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2015.

Jaewoong Shim, Eunji Kim, Seokho Kang, Sungzoon Cho, "Hybrid approach with centroid based classification and SVM for multi-class text classification", 2014 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2014.

Taehoon Ko, Seokho Kang, Su-jin Rhee, Sungzoon Cho, Kyung-Sang Yu, "Knowledge discovery from EMR data for type 2 diabetes", 2014 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2014.

Seokho Kang, Taehoon Ko, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu, "Machine learning-based drug failure prediction for type 2 diabetes", 2014 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2014.

Seokho Kang, Jooseoung Park, Sungzoon Cho, "Energy usage pattern analysis", The 3rd Korea Spotfire User Conference, Jun 2014. 

Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Improving the accuracy of rotation forest using kernel PCA", 2014 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), May 2014.

Seokho Kang, Jiwon Yang, Sungzoon Cho, "A density-based validation method for support vector data description", 2014 Spring Conference of the Korean Institute of Industrial Engineers (KIIE), May 2014.

Seokho Kang, Sungzoon Cho, "A hybrid genetic algorithm for feature selection and parameter optimization of support vector machines", 2013 Fall Conference of the Korea Data Mining Society (KDMS), Nov 2013. (Best Paper Award)

Seokho Kang, Seung-kyung Lee, Jooseoung Park, Sungzoon Cho, "Regression-based early fault detection for air-conditioning systems", 2012 Fall Conference of the Korea Data Mining Society (KDMS), Dec 2012.

Seokho Kang, Seung-kyung Lee, Jooseoung Park, Sungzoon Cho, "Regression-based early fault detection for air-conditioning systems", 2012 Fall Conference of the Korean Operations Research and Management Science Society (KORMS), Nov 2012.

Dongil Kim, Pilsung Kang, Seung-kyung Lee, Seokho Kang, Seungyong Doh, Sungzoon Cho, "Data quality improvement for virtual metrology based on novelty detection techniques", 2011 Fall Conference of the Korea Data Mining Society (KDMS), Dec 2011.

Yongwon Park, Seokho Kang, Sungzoon Cho, "SVDD-based clustering of bias trimming data in semiconductor manufacturing", 2011 Fall Conference of the Korea Data Mining Society (KDMS), Dec 2011.

Taehoon Ko, Seokho Kang, Sungzoon Cho, "Electricity usage management based on data mining techniques", 2011 Fall Conference of the Korea Data Mining Society (KDMS), Dec 2011.

Taehoon Ko, Seokho Kang, Sungzoon Cho, "Electricity usage management based on data mining techniques", 2011 Fall Conference of the Korean Institute of Industrial Engineers (KIIE), Nov 2011.