Papers

International

* Corresponding Author, Bold - Lab member

• Yeo, C., Nam, S., Kim, Y., (2025) “Fused LassoNet: Sequential feature selection for spectral data with neural networks." Chemometrics and Intelligent Laboratory Systems, 257, 105315. (SCIE JCR 3.9%)

• Ahn, S., Jo, Y., Park, J., Kim, S., Kim, J., Lee, M.G., Kim, S.B., Lee, S.*, Kim, Y.*, (2024) "Multimodal Human Action Recognition for Upper Limb Exercise of Individuals with Cerebral Palsy," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(7), 4164–4174. (SCIE JCR 5.4%)

• Lee, J., Kim, Y.*, Kim, S.B.*, (2023) "Noise Robust Graph-based Semi-Supervised Learning with Dynamic Shaving Label Propagation," Applied Soft Computing, 142, 110371.  (SCIE JCR 10%)

• Kim, Y., Wang, T., Wang, X., Xiong, D., Park, S., (2022) "Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences," BMC Bioinformatics, 23, 469. (SCIE JCR Q2)

• Koh, E., Kim, Y.*, (2022) "Risk Association of Liver Cancer and Hepatitis B with Tree Ensemble and Lifestyle Features," International Journal of Environmental Research and Public Health, 19, 15171. (SSCI JCR Q1)

• Moon, S., Cho, H., Koh, E., Cho, Y.S., Oh, H.L., Kim, Y.*, Kim, S.B.*, (2022) "Remanufacturing Decision-making for Gas Insulated Switchgear with Remaining Useful Life Prediction," Sustainability, 14, 12357. (SSCI JCR Q2)

• Kim, Y., Lee, M., Kim, S.B., (2021) “Swarm Ascending: Swarm Intelligence-based Exemplar Group Detection for Robust Clustering,” Applied Soft Computing, 102, 107062. (SCIE JCR 10%)

• Mok, C., Baek, I., Cho, Y.S., Kim, Y. *, Kim, S.B.* (2021), "Pallet Recognition with Multi-task Learning for Automated Guided Vehicles," Applied Sciences, 11(24), 11808. (SCIE JCR Q2)

• Kim, I., Kim, Y.*, Kim, S. (2020), “Learning Loss for Test-time Augmentation,” Advances in Neural Information Processing Systems (NeurIPS). (Top-tier AI Conference)

• Kim, Y., Lee, J., Ahn, G., Santos, I.C., Schug, K.A., Kim, S.B. (2020), “Convolutional Neural Network for Preprocessing-free Bacterial Spectra Identification,” Journal of Chemometrics, 34, e3304. (SCIE JCR Q1)

• Kim, Y., Do, H., Kim, S.B. (2020), “Outer-Points Shaver: Robust Graph-Based Clustering via Node Cutting,” Pattern Recognition, 97, 107001. (SCIE JCR 10%)

• Lee, S., Kim, Y., Kang, H., Lee, S.-K., Chung, S., Cheong, T., Shin, K., Park, J., Kim, S.B. (2020), “Intelligent Traffic Control for Autonomous Vehicle Systems Based on Machine Learning,” Expert Systems with Applications, 144, 113074. (SCIE JCR 10%)

• Kim, Y., Kim, S.B. (2018), “Collinear Groupwise Feature Selection via Discrete Fusion Group Regression,” Pattern Recognition, 83, pp.1–13. (SCIE JCR 10%)

• Park, C., Kim, Y., Park, Y., Kim, S.B. (2018), “Multitask Learning for Virtual Metrology in Semiconductor Manufacturing Systems,” Computers and Industrial Engineering, 123, pp.209–219. (SCIE JCR Q1)

• Kim, Y., Kim, S.B. (2018), “Optimal False Alarm Controlled Support Vector Data Description for Multivariate Process Monitoring,” Journal of Process Control, 65, pp.1–14. (SCIE JCR Q2)

• Santos, I. C., Smuts, J., Choi, W.-S., Kim, Y., Kim, S. B., Schug, K.A. (2018), “Analysis of Bacterial FAMEs Using Gas Chromatography – Vacuum Ultraviolet Spectroscopy for the Identification and Discrimination of Bacteria,” Talanta, 182, pp.536–543. (SCIE JCR 10%)

• Kim, Y., Schug, K.A., Kim, S.B. (2015), “An Ensemble Regularization Method for Feature Selection in Mass Spectral Fingerprints,” Chemometrics and Intelligent Laboratory Systems, 146, pp.322–328. (SCIE JCR 10%)

Domestic

* Corresponding Author, Bold - Lab member

• 여채윤, 조용원, 박진혁, 안시후, 김상민, 김정인, 이상민, 이민구, 김영훈*, (2023) "뇌병변 장애인의 관절 각도 데이터를 활용한 머신러닝 기반의 재활운동 능력 평가에 관한 연구," 재활복지공학회논문지, 제17권, 제4호, pp.289-302.
  (2024 재활복지공학회 우수논문상 수상)

• 김민지, 김시연, 한혜민, 김영훈*, (2023) "Explainable Artificial Intelligence를 활용한 멀티모달 데이터 기반 사용자 감정 예측," 한국컴퓨터종합학술대회 논문집, pp.2058–2060.

Ongoing

• Jeon, C., Kim, Y., "Multivariate Lithium-ion Battery State Prediction with Channel-Independent Informer and Particle Filter for Battery Digital Twin" (Submitted)

• Kang, G., Lee, G., Kim, Y., "Combining Residual Network and Bidirectional Long Short-Term Memory with Additive Attention for Wafer Defect Classification." (Submitted)

• Yeo, C., Lee, J., Kim, J., Kim, Y., "Optimal Sensor Placement for Heat Transfer Digital Twin with Denoising Autoencoder and Discrete Optimization." (Under Review)

• Lee, G., Kim, Y., "Noise-Robust Anomaly Detection and Classification for Rotating Machinery with Deep Filter Fusion." (Under Review)

• Cho, H., Moon, S., Hwang, S., Kim, S.B., Kim, Y., "Data-driven Decision Making for Real-Time Remanufacturing of Gas-Insulated Switchgear." (Submitted)

International

* Corresponding Author, Bold - Lab member

• Choi, I., Kim, Y.*, End-to-End Asset Allocation Optimization with Convolutional Neural Network and Stock Chart Images, Seattle, 2024 Informs Annual Meeting, WA, U.S., 2024 (Oct. 20-23)

• Yeo, C., Kim, JG.*, Kim, Y.*, Optimal Sensor Placement Using Denoising Autoencoder and Discrete Optimization for Heat Transfer Digital Twins, Seattle, 2024 Informs Annual Meeting, WA, U.S., 2024 (Oct. 20-23)

• Lee, J., Kim, Y.*, End-to-end portfolio optimization model using transformer, Seattle, 2024 Informs Annual Meeting, WA, U.S., 2024 (Oct. 20-23)

• Kang, G., Kim, Y.*, Combining Shortcut3-ResNet and Gated Attention BiLSTM for Wafer Defect Classification, Seattle, 2024 Informs Annual Meeting, WA, U.S., 2024 (Oct. 20-23)

• Choi, J., Kim, Y.*, Tree Algorithm-Based Data Denoising Technique for Sparse Dynamic System Identification, Seattle, 2024 Informs Annual meeting, WA, U.S., 2024 (Oct. 20-23)

• Lee, J., Kim, Y.*, Kim, S.B., Noise-Robust Graph-based Semi-Supervised Learning with Dynamic Shaving Label Propagation, 2023 Informs Annual Meeting, Phoenix, AZ, U.S., 2023 (Oct. 15-17)

• Lee, K., Kim, Y.*, Anomaly Detection in Rotating Machinery: Enhancing the Performance of the Anomaly Transformer and Robustness to Noise, 2023 Informs Annual Meeting, Phoenix, AZ, U.S., 2023 (Oct. 15-17)

• Yeo, C., Jo, Y., Park, J., Ahn, S., Kim, S., Kim, J., Lee, S., Lee, M.G., Kim, Y.*, Evaluation of Rehabilitation Exercise of Disabled People Based on Machine Learning with Joint Angle Data, Phoenix, 2023 Informs Annual Meeting, AZ, U.S., 2023 (Oct. 15-17)

• Kim, I., Kim, Y.*, Kim, S., Learning Loss for Test-time Augmentation, Thirty-fourth Conference on Neural Information Processing Systems, Vancouver, Canada, 2020 (Dec. 6-12)

• Kim, Y., Kim, S.B., Collaborative Dual Evolving Network for Graph-free Label Propagation, Informs International Conference, Taipei, Taiwan, 2018 (Jun. 17-20)

• Santos, I.C., Martin, M.S., Reyes M.L., Carlton, D.D. Smuts, J., Choi, W.-S., Kim, Y., Kim, S.B., Whitworth, K., Stigler-Granados, P., Hildenbrand, Z.L., Schug, K.A., MALDI-TOF MS and GC-VUV for the Identification of Bacteria and Their Responses to Environmental Stressors, 66th ASMS Conference on Mass Spectrometry and Allied Topics, San Diego, CA, U.S., 2018 (June. 3-7)

• Kim, Y., Kim, S.B., Minimum-Variance Monitoring Statistic and Control Chart, International Symposium on Statistical Process Monitoring, Seoul, Korea, 2017 (Jul. 3-7)

• Kim, Y., Kim, S.B., Minimum-Variance Monitoring Statistic and Control Chart, International Conference on Industrial Engineering, Seoul, Korea, 2016 (Oct. 10-12)

• Kim, Y., Kim, S.B., Process Monitoring and Diagnosis via Optimization Methods, International Symposium on Statistical Process Monitoring, Padua, Italy, 2015 (Jul. 7-9)

• Kim, Y., Kim, S.B., One-Class Classification by Local Target Selection, International Conference on Future Computer and Communication, Singapore, 2015 (May. 20-22)

• Kim, Y., Shim, S. and Kim, S.B. Conflict Graphical Model of Feature Selection, INFORMS, San Francisco, CA, US, 2014 (Nov. 9-12)

Domestic

* Corresponding Author, Bold - Lab member

• 김도훈, 김영훈, Mini Split-SleepNet: 단일 채널 EEG 기반 수면 단계 분류를 위한 경량 딥러닝 모델, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 나웅재, 김영훈, Automated Heuristic Design for Job Shop Scheduling Using a RAG-Based Evolutionary Framework, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 나하원, 김영훈, Evolution of Heuristic 기법을 활용한 모멘텀 투자전략의 자동 진화 프레임워크, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 여채윤, 김영훈, 그래프 기반 검색 증강 생성과 시뮬레이션 피드백을 활용한 유한 요소 해석 에이전트 성능 개선 연구, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 이규철, 김영훈, Robust and Sparse Identification of Dynamic Systems with Regime Change, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 이병화, 김영훈, Evolution of Path Planning Heuristics with Large Language Model, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 이유하, 김영훈, Finite Element Method 기반 열 해석 데이터를 활용한 배터리 셀 노드 단위 실시간 이상 탐지 알고리즘, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 장현종, 김영훈, 강화 학습 기반의 heuristic evolution 시간 단축 방법론, 한국데이터마이닝학회, 경주, 한국, 2025 (Aug. 28)

• 전찬규, 김영훈, 디지털 트윈 기반 리튬이온 배터리 상태 예측을 위한 Channel Independence Particle Filter-Informer, 한국데이터마이닝학회, 평창, 한국, 2025(Aug. 28)

• 최재준, 김영훈, Conditional U-Net Architecture with Feature-Wise Linear Modulation for Wafer Defect Segmentation and Classification, 한국데이터마이닝학회, 평창, 한국, 2025 (Aug. 28)

• 최준혁, 김영훈, 고차원 동적 시스템의 장기 예측 성능 향상을 위한 Informer 모델 기반 센서 배치 최적화, 한국데이터마이닝학회, 평창, 한국, 2025 (August. 28)

• 여채윤, 김진균, 김영훈, 배터리 모듈의 효율적 열 관리를 위한 디지털 트윈 기반 센서 배치 최적화 연구, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

• 이규철, 김영훈, Dynamic Symbolic Regression for Predicting Complex Dynamic Equations with Neural Network, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

•  강규민, 김영훈, 웨이퍼 결함 분류를 위한 Shortcut3-ResNet과 Gated Attention DualLSTM 융합 모델, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

•  최준혁, 김영훈, 디지털 트윈 구축을 위한 Transformer 모델 기반 상태 예측 및 센서 배치 최적화, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

•  이유하, 김영훈, 노이즈에 강건한 비지도 학습 기반 이미지 이상 탐지, 한국데이터마이닝학회, 경주, 한국, 2024(Nov. 22)

•  김도훈, 김영훈, Large Brain Model 기반 생리학적 신호 통합 학습을 통한 수면 단계 분류 연구, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

•  이병화, 김영훈, 레이더-카메라 센서 기반 자율주행 시스템을 위한 모션 트랜스포머, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

•  전찬규, 김영훈, 리튬이온 배터리의 SOH 예측을 위한 CIPF-Informer : Channel Independence 와 Particle Filter 를 활용한 접근, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

•  최인열, 김영훈, 차트 패턴 인식 CNN 과 시계열 신경망 기반의 동적 자산배분을 위한 이단계 포트폴리오 최적화 모형, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

•  이지연, 김영훈, End-to-End Portfolio Optimization using Transformer with Differentiable Optimization Layer, 한국데이터마이닝학회, 경주, 한국, 2024 (Nov. 22)

• 여채윤, 김진균, 김영훈, Denoising Autoencoder와 이산 최적화를 활용한 열전달 디지털 트윈 구축의 실시간 모니터링 시스템 설계, 한국데이터마이닝학회, 서울, 한국, 2024 (May. 30)

• 최준혁, 김영훈, 비선형 동역학 방정식 식별을 위한 Random Forest 기반 Data Noise제거, 한국데이터마이닝학회, 서울, 한국, 2024 (May. 30)

• 강규민, 김영훈, Shortcut3-ResNet과 Gated Attention BiLSTM 결합을 활용한 웨이퍼 결함 분류, 한국데이터마이닝학회, 서울, 한국, 2024 (May. 30)

• 여채윤, 김진균, 김영훈, 열전달 디지털 트윈 구축을 위한 ​Denoising Autoencoder 및 이산 최적화 기반의 ​센서 배치 최적화, 대한산업공학회, 여수, 한국, 2024 (May. 3)

• 이규철, 김영훈, 심층 이상 점수 융합 프레임워크를 활용한 회전 장비 결함 검출 및 분류, 대한산업공학회, 여수, 한국, 2024 (May. 3)

• 강규민, 김영훈, Shortcut3-ResNet과 Gated Attention BiLSTM을 통합한 웨이퍼 결함 분류 알고리즘, 대한산업공학회, 여수, 한국, 2024 (May. 3)

• 여채윤, 김영훈, Fused Lassonet: 시계열적 특징을 갖는 데이터를 위한 인공신경망의 향상된 변수 선택, 한국데이터마이닝학회, 서울, 한국, 2023 (Nov. 7)

• 이규철, 김영훈, 잡음에 강건한 회전기계 이상탐지 모델 설계와​ 제로 샷 결함 분류, 한국데이터마이닝학회, 서울, 한국, 2023 (Nov. 7)

• 이규철, 김영훈, Anomaly Transformer 기반의 회전기계 이상치 탐색 분석, 대한산업공학회, 제주, 한국, 2023 (Jun. 1-2)

• 여채윤, 조용원, 박진혁, 안시후, 김상민, 김정인, 이상민, 이민구, 김영훈, 장애인 관절 각도 데이터를 활용한 머신러닝 기반의 재활운동 능력 평가에 관한 연구, 대한산업공학회, 제주, 한국, 2023 (Jun. 1-2)

• Kim, Y., Park, S., Multiple Instance Neural Network Based on Sparse Attention for Cancer Detection Using T-cell Receptor Sequences, Korean Statistical Society, Seoul, Korea, 2021 (Nov. 6)

• Lee, J., Kim, Y., Kim, S.B., Noise Robust Semi-Supervised Learning with Dynamic Label Propagation, Industrial Engineering & Management Science Conference, Seoul, Korea, 2021 (Nov. 12)

• Kim, Y., Kim, S.B., Graph-free Label Propagation with Collaborative Dual Evolving Network for Big Data, Industrial Engineering & Management Science Conference, Seoul, Korea, 2018 (Nov. 9)

• Kim, Y., Kim, S.B., Outer Points Shaver: Robust Graph-Based Clustering via Node Cutting, Korea Business Intelligence Data Mining Society, Busan, Korea, 2017 (Nov. 24-25)

• Mok, C., Kim, Y., Kim, S.B., Random Forest-Based Control Chart for Detecting Out of Control. Industrial Engineering & Management Science Conference, Daejeon, Korea, 2017 (Nov. 4)

• Kim, Y., Kim, S.B., Outer Points Shaver: Robust Graph-Based Clustering via Node Cutting, Industrial Engineering & Management Science Conference, Daejeon, Korea, 2017 (Nov. 4)

• Kim, Y., Kim, S.B., Feature Selection for High-dimensional Data via Collinear Group-wise Regression, Industrial Engineering & Management Science Conference, Yeosu, Korea, 2017 (Apr. 27-28)

• So, H., Kim, Y., Kim, S.B., Exchange Traded Funds Portfolio Optimization for Enhanced Indexation using Forecasting Method, Industrial Engineering & Management Science Conference, Seoul, Korea, 2015 (Nov. 7)

• Kim, Y., Kim, S.B., A Mixed Integer Programming Data Description Method for Control Chart, Industrial Engineering & Management Science Conference, Seoul, Korea, 2015 (Nov. 7)

• Kim, Y., Kim, S.B., A Novel Control Chart Based on Mixed Integer Programming, Industrial Engineering & Management Science Conference, Jeju, Korea, 2015 (Apr. 9-10)

• Kim, Y., Shim, S. and Kim, S.B., Conflict Graphical Model of Feature Selection, Industrial Engineering & Management Science Conference, Jeju, Korea, 2015 (April 9-10)

• Kim, Y., Shim, S. and Kim, S.B., Conflict Graphical Model of Feature selection, Korea Business Intelligence Data Mining Society, Busan, Korea, 2014 (Nov. 28-29)

• Kim, Y., Kim, S.B. Mixed Integer Optimization-Based Density Estimation Method and Application, Korea Quality Congress, Seoul, Korea, 2014 (Oct. 31)

• Kim, Y., Kim, S.B. High-Dimensional Spectra Analysis of Malaria Mosquitoes with Fused Lasso, Korea Business Intelligence Data Mining Society, Sokcho, Korea, 2013 (Nov. 30)

• Kim, Y., Kim, S.B. Weighted Feature KNN Algorithm with Genetic Algorithm for Feature Selection, Industrial Engineering & Management Science Conference, Yeosu, Korea, 2013 (May. 24-25)