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Number of entries: 269 (필터 적용됨)

International Paper

Deep Learning, Reinforcement Learning

Lee, Y.J., Kim, J., Park, Y.J., Kwak, M.,Kim, S.B.* (2025+). Masked and inverse dynamics modeling for data-efficient reinforcement learning, IEEE Transactions on Neural Networks and Learning Systems, In Press.

DOI: 10.1109/TNNLS.2024.3439261

Impact Factor: 10.2

#dynamics model #reinforcement learning #data efficient #self-supervised learning

International Paper

Deep Learning, Natural Language Processing

Jeong, J., Baek, I., Bang, B., Lee, J., Song, U., Kim, S.B. * (2025+). FALL: prior failure detection in large scale system based on language model, IEEE Transactions on Dependable and Secure Computing, In Press.

DOI: 10.1109/TDSC.2024.3396166

Impact Factor: 7.3

#fault detection #large language models

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Jo, U., Kim, S.B.* (2025). Semi-supervised learning with wafer-specific augmentations for wafer defect classification, IEEE Access, Vol. 13, pp.56-66.

DOI: 10.1109/ACCESS.2024.3522180

Impact Factor: 3.4

#wafer bin map #semiconductor #semi-supervised learning

International Paper

Deep Learning

Mok, C., Kim, S.B.* (2025), Corruption-based anomaly detection and interpretation in tabular data, Pattern Recognition, Vol. 159, 111149 (March).

DOI: https://doi.org/10.1016/j.patcog.2024.111149

Impact Factor: 7.5

#anomaly detection #tabular data

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Moon, S., Kim, S.B.* (2025). Input-guidance diffusion model for unknown defect patterns detection in wafer bin map, Advanced Engineering Informatics, Vol. 64, 103078 (March)

DOI: https://doi.org/10.1016/j.aei.2024.103078

Impact Factor: 8

#Diffusion Models #wafer bin map #semiconductor

International Paper

Deep Learning, Reinforcement Learning

Heo, J., Lee, Y.J., Kim, J., Kwak, M., Park, Y.J., Kim, S.B.* (2025). Mixing corrupted preferences for robust and feedback-efficient preference-based reinforcement learning, Knowledge-Based Systems, Vol. 309, 112824 (January).

DOI: https://doi.org/10.1016/j.knosys.2024.112824

Impact Factor: 7.2

#preference-based reinforcement learning

International Paper

Deep Learning

Kim, J., Cho, H., Lee, M.*, Kim, S. B. (2025). Multi-source partial domain adaptation with Gaussian-based dual-level weighting for PPG-based heart rate estimation, Knowledge-Based Systems, Volume 309, 112769 (January).

DOI: https://doi.org/10.1016/j.knosys.2024.112769

Impact Factor: 8.8

#domain adaptation #PPG signal #regression

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Lee, Y., Kim, S.B.* (2024). Weakly supervised image segmentation for detecting defects from scanning electron microscopy images in semiconductor, IEEE Access, Vol. 12, pp. 184896 - 184908.

DOI: 10.1109/ACCESS.2024.3513873

Impact Factor: 3.4

#image segmentation #semiconductor #scanning electron microscopy #SEM

International Paper

Deep Learning, Healthcare/Biomedicine

Chae, G., Lee, J., Kim, S.B.* (2024). Contrastive learning with hard negative samples for chest X-ray multi-label classification, Applied Soft Computing, Vol. 195, 112101. (November)

DOI: https://doi.org/10.1016/j.asoc.2024.112101

Impact Factor: 7.2

#self-supervised learning #image #contrastive

International Paper

Deep Learning

Koh, E., Lee, Y.J., Kim, S.B.* (2024). GraphixMatch: Improving semi-supervised learning for graph classification with FixMatch, Neurocomputing, Vol. 607, 128356. (November)

DOI: https://doi.org/10.1016/j.neucom.2024.128356

Impact Factor: 5.5

#graph #semi-supervised learning #

International Paper

Deep Learning, Reinforcement Learning, Game

Kim, J., Lee, Y.J., Kwak, M., Park, Y.J., Kim, S.B.* (2024). DynaSTI: Dynamics modeling with sequential temporal information for reinforcement learning in Atari, Knowledge-Based Systems, Volume 299, 112103 (September).

DOI: https://doi.org/10.1016/j.knosys.2024.112103

Impact Factor: 8.8

#self-supervised learning #reinforcement learning #game

International Paper

Deep Learning

Jang, G., Singh, S.K., Lim, S., Bae, J., Heo, J., Zhang, Y., Shin W.G., Kim, S.B., (2024). Self- and semi-supervised learning for evacuation time modeling within fire emergencies in nuclear power plants, Process Safety and Environmental Protection, Vol. 188, pp. 1256-1267. (August)

DOI: https://doi.org/10.1016/j.psep.2024.05.145

Impact Factor: 7.8

#semi-supervised learning #self-supervised learning #nuclear power plant

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Jo, Y., Bae, J., Cho, H., Roh, H., Kim, K., Jo, M., Tae J., and Kim, S. B.* (2024). Semantic segmentation for noisy and limited wafer transmission electron microscope images, IEEE Transactions on Semiconductor Manufacturing, Vol. 37, Issue 3, pp. 345 - 354. (August)

DOI: 10.1109/TSM.2024.3396423

Impact Factor: 2.7

#image segmentation #semiconductor

International Paper

Deep Learning, Healthcare/Biomedicine

Kim, H., Kim, J., Kim, S. B.* (2024). Cross-subject generalizable representation learning with class-subject dual labels for biosignals, Knowledge-Based Systems, Volume 295, 111855 (July).

DOI: 10.1016/j.knosys.2024.111855

Impact Factor: 8.8

#self-supervised learning #signal #Biomedicine

International Paper

Deep Learning

Ha, S., Kim, J., Kim, S., Moon, G., Kim, S. B., Kim, J., Kim, S* (2024). Improving webtoon accessibility for color vision deficiency in South Korea using deep learning, Universal Access in the Information Society,https://doi.org/10.1007/s10209-024-01113-2. (April 29).

DOI: 10.1007/s10209-024-01113-2

Impact Factor: 2.4

#generative adversarial networks

International Paper

Deep Learning

Cho, H., Lee, J., Chang, S., Jeong, Y.* (2024). One-shot structure-aware stylized image synthesis. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, USA.

#Diffusion Models #Image Stylization

International Paper

Deep Learning

Lee, J., Cho, H., Yoo, Y., Kim, S. B., Jeong, Y. (2024). Compose and conquer: diffusion-based 3D depth aware composable image synthesis. In The Twelfth International Conference on Learning Representations (ICLR). Vienna, Austria.

#Diffusion Models

International Paper

Deep Learning

Cho, H., Lee, J., Kim, S. B., Oh, T. H., Jeong, Y. (2024). Noise map guidance: inversion with spatial context for real image editing. In The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria.

#Diffusion Models #Image Editing

International Paper

Machine Learning, Deep Learning

Singh, S.K., Bae, J., Zhang, Y., Lim, S., Heo, J., Kim, S.B., Shin W.G. (2024). Identification of primary input parameters affecting evacuation in ventilated main control room through CFAST simulations and application of a machine learning algorithm to replace CFAST model, Nuclear Engineering and Technology, Vol. 56, Issue 9, pp. 3717-3729 (September)

Impact Factor: 2.7

#Regression #Surrogate model #Machine learning #nuclear power plant

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Jo, Y., Kahng, H., Kim, S.B. (2024). Deep semi-supervised regression via pseudo-label filtering and calibration, Applied Soft Computing, Vol. 161, 111670.

DOI: 10.1016/j.asoc.2024.111670

Impact Factor: 8.7

#semi-supervised learning

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Baek, I., Hwang, S., Kim, S.B.* (2024). CowSSL:contrastive open-world semi-supervised learning for wafer bin map, Journal of Intelligent Manufacturing, March 29.

DOI: https://doi.org/10.1007/s10845-024-02351-0

Impact Factor: 5.9

#semi-supervised learning #wafer bin maps #open set

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Choi, J., Kim, S.B.* (2024). Multi-stage process diagnosis networks in semiconductor manufacturing, IEEE Access, Vol. 12, pp. 39495 - 39504. (March)

DOI: 10.1109/ACCESS.2024.3375367

Impact Factor: 3.9

#semiconductor manufacturing #multi-sage process

International Paper

Deep Learning, Healthcare/Biomedicine

Ahn, S.H., Jo, Y.W., Park J.H., Kim, S.M., Kim, J.I., Kim, S.B., Lee, M.G., Lee, S.M., Kim., Y.H. (2024). Multimodal human action recognition for rehabilitation exercise of upper body for individuals with cerebral palsy, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 54, Issue 7, pp 4164-4174. (July)

DOI: 10.1109/TSMC.2024.3377198

Impact Factor: 8.6

#human activity recognition #multimodal

International Paper

Deep Learning, Healthcare/Biomedicine

Lim, S., Lee, Y.J., Kim, S.B.* (2024). SWISS: signal-wise self-supervised learning to learn a multi-signal interaction for human activity recognition, Knowledge-Based Systems, Vol. 287, 111464. (March 5)

DOI: https://doi.org/10.1016/j.knosys.2024.111464

Impact Factor: 8.8

#self-supervised learning #signal #human activity recognition

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Cho, Y.S., Kim, S.B.* (2024). Supervised contrastive learning for multisensor signals classification in automobile engine manufacturing, IEEE Transactions on Industrial Informatics, Vol. 20, No. 5, pp. 7764- 7776. (May)

DOI: 10.1109/TII.2024.3363189

Impact Factor: 12.3

#contrastive learning #automobile #sensors #multichannel

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Baek, I., Kim, S.B. (2024), Contrastive deep clustering for detecting new defect patterns in wafer bin maps, The International Journal of Advanced Manufacturing, Vol. 130, pp.3561-3571. (January 5)

DOI: 10.1007/s00170-023-12939-0

Impact Factor: 3.4

#wafer bin map #wafer #defects #open set

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Sim, S., Bae, J., Kim, S.B.*(2024). Robust semi-supervised regression for vehicle interior noise prediction, IEEE Access, Vol.12, pp.60-72.

DOI: 10.1109/ACCESS.2023.3347804

Impact Factor: 3.476

#sensor #monitoring #semi-supervised learning #signal

International Paper

Deep Learning, Reinforcement Learning, Game

Kim, J., Lee, Y.J., Heo, J., Park, J., Kim, J., Lim, S.R., Jeong, J., Kim, S.B.* (2023), Sample-efficient multi-agent reinforcement learning with masked reconstruction, PLOS ONE, 18(9): e0291545. https://doi.org/10.1371/journal.pone.0291545 (September 14)

DOI: https://doi.org/10.1371/journal.pone.0291545

Impact Factor: 3.7

#multi-agent #self-supervised learning

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Baek, M., Kim, S.B.*(2023). Failure detection and primary cause identification of multivariate time series data in semiconductor equipment, IEEE Access, Vol.11, pp.54636-54372 (May).

DOI: 10.1109/ACCESS.2023.3281407

Impact Factor: 3.476

#fault #equipment #time series #multichannel #semiconductor

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Kwak, M., Lee, Y., Kim, S.B.* (2023). SWaCo: Safe wafer bin map classification with self-supervised contrastive learning, IEEE Transactions on Semiconductor Manufacturing, Vol. 36, Issue 3, pp. 416-424 (May).

DOI: 10.1109/TSM.2023.3280891

Impact Factor: 2.7

#semiconductor #wafer bin map #self-supervised learning #contrastive learning

International Paper

Machine Learning

Lee, J., Kim, Y., Kim, S.B. (2023). Noise-robust graph-based semi-supervised learning with dynamic shaving label propagation, Applied Soft Computing, Vol.142, 110371 (July)

DOI: https://doi.org/10.1016/j.asoc.2023.110371

Impact Factor: 8.263

#semi-supervised learning #graph

International Paper

Deep Learning, Game

Kim, C., Bae, J., Baek, I., Jeong, J., Lee, Y.J., Park, K., Shim, S.H., Kim, S.B.*(2023). DESEM: Depthwise separable convolution-based multimodal deep learning for In-game action anticipation, IEEE Access, Vol.11, pp. 46504 - 46512, April 27.

DOI: 10.1109/ACCESS.2023.3271282

Impact Factor: 3.476

#convolutional neural network

International Paper

Deep Learning, Reinforcement Learning, Game

Lee, Y.J., Kim, J., Kwak, M., Park, Y.J., Kim, S.B. (2023). STACoRe: Spatio-temporal and action-based contrastive representations for reinforcement learning in Atari, Neural Networks, Vol.160, Page 1-11 (March)

DOI: https://doi.org/10.1016/j.neunet.2022.12.018

Impact Factor: 9.657

#contrastive learning #game

International Paper

Machine Learning

Jen, H-C, Huff, B., LeBoulluec, A.K., Nasirian, B., Kim, S.B., Rosenberger, J.M., Chen, V.C.P. (2022). A discrete-event simulation tool for airport deicing activities: Dallas-Fort Worth International Airport, Simulation-Transactions of the Society for Modeling and Simulation International, Vol.98, Issue 12, pp.1097~1114 (December).

DOI: 10.1177/00375497221101064

Impact Factor: 1.377

#simulation

International Paper

Machine Learning, Deep Learning

Park, J., Y.J. Lee, Y. Jo, J. Kim, J.H, Han, J.H., Kim, K.J., Kim, Y.T., Kim, S.B.*(2022).Spatio−temporal network for sea fog forecasting, Sustainability, Vol.14, Issue 23, 16163.

DOI: 10.3390/su142316163

Impact Factor: 3.889

#image #multimodal #augmentation #prediction

International Paper

Deep Learning

Oh, H., Kim, S.B.*(2022). Multivariate time series open-set recognition using multi-feature extraction and reconstruction, IEEE Access, Vol.10, pp.120063-120073.

DOI: 10.1109/ACCESS.2022.3222310

Impact Factor: 3.476

#human activity recognition #sensor #multichannel #open set

International Paper

Deep Learning

Lee, M., Kim, S.B.*(2022). Sensor-based open-set human activity recognition using representation learning with mixup triplets, IEEE Access, Vol.10, pp.119333-119344.

DOI: 10.1109/ACCESS.2022.3221425

Impact Factor: 3.476

#sensor #monitoring #human activity recognition #open set #multichannel

International Paper

Machine Learning, Deep Learning

Lee, M., Kim, S.B.*(2022). HAPGNN: Hop-wise attentive PageRank-based graph neural network, Information Sciences, Volume 613, Pages 435-452. (October)

DOI: https://doi.org/10.1016/j.ins.2022.09.041

Impact Factor: 8.233

#Graph Neural Network

International Paper

Deep Learning

Bae, J., Lee, M., Kim, S.B.* (2022). Safe semi-supervised learning using a Bayesian neural network, Information Sciences, Vol. 612, Pages 453-464. (October)

DOI: 10.1016/j.ins.2022.08.094

Impact Factor: 8.233

#Bayesian #semi-supervised learning

International Paper

Deep Learning

Lee, H.K., Lee, J., Kim, S.B.* (2022). Boundary-focused generative adversarial networks for imbalanced and multimodal time series, IEEE Transactions on Knowledge and Data Engineering, Vol.34, No.9, pp. 4102-4118. (September)

DOI: 10.1109/TKDE.2022.3182327

Impact Factor: 9.235

#time series #imbalance #generative adversarial networks #multimodal

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Cho, Y.S., Kim, S.B.* (2022). Quality-discriminative localization of multisensor signals for root cause analysis, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 52, No. 7, pp.4374-4387. (July)

DOI: https://doi.org/10.1109/TSMC.2021.3096529

Impact Factor: 13.451

#convolutional neural network #XAI #sensor #signal #equipment

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Lee, J., Kim, S.B.* (2022), Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification, Neural Networks, Vol.150, pp. 68-86. (June)

DOI: https://doi.org/10.1016/j.neunet.2022.02.019

Impact Factor: 9.657

#signal #uncertainty #multichannel #neural networks

International Paper

Deep Learning, Game

Baek, I., Kim, S.B.* (2022). 3-dimensional convolutional neural networks for predicting StarCraft Ⅱ results and extracting key game situations, PLOS ONE, PLoS ONE 17(3): e0264550. (March)

DOI: https://doi.org/10.1371/journal.pone.0264550

Impact Factor: 3.24

#game #image #convolutional neural network

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Shin, W., Kahng, H., Kim, S.B.* (2022). Mixup-based classification of mixed-type defect patterns in wafer bin maps, Computers & Industrial Engineering, 167(1):107996. (February)

DOI: 10.1016/j.cie.2022.107996

Impact Factor: 5.431

#wafer #wafer bin map #image #semiconductor

International Paper

Machine Learning, Healthcare/Biomedicine

Lee, E. S., Kim, J. Y., Yoon, Kim, S.B., Kahng, H., Park, J., Kim, J., Lee, M., Hwang, H., Park, S.G. (2022). A machine learning-based study of the effects of air pollution and weather in respiratory disease patients visiting emergency departments, Emergency Medicine International, Vol.2022, Article ID 4462018, 20 pages

DOI: https://doi.org/10.1155/2022/4462018

Impact Factor: 1.112

#Emergency medical service

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Do, H., Lee, C., Kim, S.B. (2022). Hierarchical spatial-test attention network for explainable multiple wafer bin map classification, IEEE Transactions on Semiconductor Manufacturing, , Vol.35, No. 1, pp.78-86. (February)

DOI: 10.1109/TSM.2021.3121006

Impact Factor: 2.874

#XAI #classification #wafer bin map #wafer #image

International Paper

Machine Learning, Deep Learning, Quality Analytics/Smart Manufacturing

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(19), 12357.

DOI: https://doi.org/10.3390/su141912357

Impact Factor: 3.889

#remaining useful life #prediction

International Paper

Deep Learning, Quality Analytics/Smart Manufacturing

Lee, M., Bae, J., Kim, S.B.* (2021). Uncertainty-aware soft sensor using Bayesian recurrent neural networks, Advanced Engineering Informatics, Vol.50, 101434. (October)

DOI: https://doi.org/10.1016/j.aei.2021.101434

Impact Factor: 5.603

#sensor #monitoring #fault #time series #recurrent neural network #Bayesian #uncertainty

International Paper

Deep Learning

Jo, Y., Lee, S., Lee, Y., Kahng, H., Park, S., Bae, S, Kim, M.K., Han, S.W., Kim, S.B. * (2021). Semantic segmentation of cabbage in the South Korea highlands with images by unmanned aerial vehicles, Applied Sciences, 11(10), 4493

DOI: https://doi.org/10.3390/app11104493

Impact Factor: 2.474

#image segmentation #image

International Paper

Deep Learning, Healthcare/Biomedicine, Reinforcement Learning

Lee, Y.J., Kahng, H., Kim, S.B. (2021). Generative adversarial networks for De Novo molecular design, Molecular Informatics, 40, 2100045.

DOI: https://doi.org/10.1002/minf.202100045

Impact Factor: 2.741

#bioinformatics #molecular #reinforcement learning #generative adversarial networks

All papers

Lee, Y.J., Kim, J., Park, Y.J., Kwak, M.,Kim, S.B.* (2025+). Masked and inverse dynamics modeling for data-efficient reinforcement learning, IEEE Transactions on Neural Networks and Learning Systems, In Press.

Jeong, J., Baek, I., Bang, B., Lee, J., Song, U., Kim, S.B. * (2025+). FALL: prior failure detection in large scale system based on language model, IEEE Transactions on Dependable and Secure Computing, In Press.

Jo, U., Kim, S.B.* (2025). Semi-supervised learning with wafer-specific augmentations for wafer defect classification, IEEE Access, Vol. 13, pp.56-66.

Mok, C., Kim, S.B.* (2025), Corruption-based anomaly detection and interpretation in tabular data, Pattern Recognition, Vol. 159, 111149 (March).

Moon, S., Kim, S.B.* (2025). Input-guidance diffusion model for unknown defect patterns detection in wafer bin map, Advanced Engineering Informatics, Vol. 64, 103078 (March)

Heo, J., Lee, Y.J., Kim, J., Kwak, M., Park, Y.J., Kim, S.B.* (2025). Mixing corrupted preferences for robust and feedback-efficient preference-based reinforcement learning, Knowledge-Based Systems, Vol. 309, 112824 (January).

Kim, J., Cho, H., Lee, M.*, Kim, S. B. (2025). Multi-source partial domain adaptation with Gaussian-based dual-level weighting for PPG-based heart rate estimation, Knowledge-Based Systems, Volume 309, 112769 (January).

Lee, Y., Kim, S.B.* (2024). Weakly supervised image segmentation for detecting defects from scanning electron microscopy images in semiconductor, IEEE Access, Vol. 12, pp. 184896 - 184908.

Chae, G., Lee, J., Kim, S.B.* (2024). Contrastive learning with hard negative samples for chest X-ray multi-label classification, Applied Soft Computing, Vol. 195, 112101. (November)

Koh, E., Lee, Y.J., Kim, S.B.* (2024). GraphixMatch: Improving semi-supervised learning for graph classification with FixMatch, Neurocomputing, Vol. 607, 128356. (November)

Kim, J., Lee, Y.J., Kwak, M., Park, Y.J., Kim, S.B.* (2024). DynaSTI: Dynamics modeling with sequential temporal information for reinforcement learning in Atari, Knowledge-Based Systems, Volume 299, 112103 (September).

Jang, G., Singh, S.K., Lim, S., Bae, J., Heo, J., Zhang, Y., Shin W.G.*, Kim, S.B.*, (2024). Self- and semi-supervised learning for evacuation time modeling within fire emergencies in nuclear power plants, Process Safety and Environmental Protection, Vol. 188, pp. 1256-1267. (August)

Jo, Y., Bae, J., Cho, H., Roh, H., Kim, K., Jo, M., Tae J., and Kim, S. B.* (2024). Semantic segmentation for noisy and limited wafer transmission electron microscope images, IEEE Transactions on Semiconductor Manufacturing, Vol. 37, Issue 3, pp. 345 - 354. (August)

Kim, H., Kim, J., Kim, S. B.* (2024). Cross-subject generalizable representation learning with class-subject dual labels for biosignals, Knowledge-Based Systems, Volume 295, 111855 (July).

Ha, S., Kim, J., Kim, S., Moon, G., Kim, S. B., Kim, J., Kim, S* (2024). Improving webtoon accessibility for color vision deficiency in South Korea using deep learning, Universal Access in the Information Society,https://doi.org/10.1007/s10209-024-01113-2. (April 29).

Cho, H., Lee, J., Chang, S., Jeong, Y.* (2024). One-shot structure-aware stylized image synthesis. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, USA.

Lee, J., Cho, H., Yoo, Y., Kim, S. B.*, Jeong, Y.* (2024). Compose and conquer: diffusion-based 3D depth aware composable image synthesis. In The Twelfth International Conference on Learning Representations (ICLR). Vienna, Austria.

Cho, H., Lee, J., Kim, S. B., Oh, T. H*., Jeong, Y.* (2024). Noise map guidance: inversion with spatial context for real image editing. In The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria.

Jo, Y., Kahng, H*., Kim, S.B.* (2024). Deep semi-supervised regression via pseudo-label filtering and calibration, Applied Soft Computing, Vol. 161, 111670.

Baek, I., Hwang, S., Kim, S.B.* (2024). CowSSL:contrastive open-world semi-supervised learning for wafer bin map, Journal of Intelligent Manufacturing, March 29.

Choi, J., Kim, S.B.* (2024). Multi-stage process diagnosis networks in semiconductor manufacturing, IEEE Access, Vol. 12, pp. 39495 - 39504. (March)

Lim, S., Lee, Y.J., Kim, S.B.* (2024). SWISS: signal-wise self-supervised learning to learn a multi-signal interaction for human activity recognition, Knowledge-Based Systems, Vol. 287, 111464. (March 5)

Cho, Y.S., Kim, S.B.* (2024). Supervised contrastive learning for multisensor signals classification in automobile engine manufacturing, IEEE Transactions on Industrial Informatics, Vol. 20, No. 5, pp. 7764- 7776. (May)

Baek, I., Kim, S.B. (2024), Contrastive deep clustering for detecting new defect patterns in wafer bin maps, The International Journal of Advanced Manufacturing, Vol. 130, pp.3561-3571. (January 5)

Sim, S., Bae, J., Kim, S.B.*(2024). Robust semi-supervised regression for vehicle interior noise prediction, IEEE Access, Vol.12, pp.60-72.

Kim, J., Lee, Y.J., Heo, J., Park, J., Kim, J., Lim, S.R., Jeong, J., Kim, S.B.* (2023), Sample-efficient multi-agent reinforcement learning with masked reconstruction, PLOS ONE, 18(9): e0291545. https://doi.org/10.1371/journal.pone.0291545 (September 14)

Baek, M., Kim, S.B.*(2023). Failure detection and primary cause identification of multivariate time series data in semiconductor equipment, IEEE Access, Vol.11, pp.54636-54372 (May).

Kwak, M., Lee, Y., Kim, S.B.* (2023). SWaCo: Safe wafer bin map classification with self-supervised contrastive learning, IEEE Transactions on Semiconductor Manufacturing, Vol. 36, Issue 3, pp. 416-424 (May).

Lee, J., Kim, Y*., Kim, S.B.* (2023). Noise-robust graph-based semi-supervised learning with dynamic shaving label propagation, Applied Soft Computing, Vol.142, 110371 (July)

Kim, C., Bae, J., Baek, I., Jeong, J., Lee, Y.J., Park, K., Shim, S.H., Kim, S.B.*(2023). DESEM: Depthwise separable convolution-based multimodal deep learning for In-game action anticipation, IEEE Access, Vol.11, pp. 46504 - 46512, April 27.

Lee, Y.J., Kim, J., Kwak, M., Park, Y.J.*, Kim, S.B.* (2023). STACoRe: Spatio-temporal and action-based contrastive representations for reinforcement learning in Atari, Neural Networks, Vol.160, Page 1-11 (March)

Park, J., Y.J. Lee, Y. Jo, J. Kim, J.H, Han, J.H., Kim, K.J., Kim, Y.T., Kim, S.B.*(2022).Spatio−temporal network for sea fog forecasting, Sustainability, Vol.14, Issue 23, 16163.

Oh, H., Kim, S.B.*(2022). Multivariate time series open-set recognition using multi-feature extraction and reconstruction, IEEE Access, Vol.10, pp.120063-120073.

Lee, M., Kim, S.B.*(2022). Sensor-based open-set human activity recognition using representation learning with mixup triplets, IEEE Access, Vol.10, pp.119333-119344.

Lee, M., Kim, S.B.*(2022). HAPGNN: Hop-wise attentive PageRank-based graph neural network, Information Sciences, Volume 613, Pages 435-452. (October)

Bae, J., Lee, M., Kim, S.B.* (2022). Safe semi-supervised learning using a Bayesian neural network, Information Sciences, Vol. 612, Pages 453-464. (October)

Lee, H.K., Lee, J., Kim, S.B.* (2022). Boundary-focused generative adversarial networks for imbalanced and multimodal time series, IEEE Transactions on Knowledge and Data Engineering, Vol.34, No.9, pp. 4102-4118. (September)

Cho, Y.S., Kim, S.B.* (2022). Quality-discriminative localization of multisensor signals for root cause analysis, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 52, No. 7, pp.4374-4387. (July)

Lee, J., Kim, S.B.* (2022), Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification, Neural Networks, Vol.150, pp. 68-86. (June)

Baek, I., Kim, S.B.* (2022). 3-dimensional convolutional neural networks for predicting StarCraft Ⅱ results and extracting key game situations, PLOS ONE, PLoS ONE 17(3): e0264550. (March)

Shin, W., Kahng, H., Kim, S.B.* (2022). Mixup-based classification of mixed-type defect patterns in wafer bin maps, Computers & Industrial Engineering, 167(1):107996. (February)

Do, H., Lee, C., Kim, S.B. (2022). Hierarchical spatial-test attention network for explainable multiple wafer bin map classification, IEEE Transactions on Semiconductor Manufacturing, , Vol.35, No. 1, pp.78-86. (February)

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(19), 12357.

Lee, M., Bae, J., Kim, S.B.* (2021). Uncertainty-aware soft sensor using Bayesian recurrent neural networks, Advanced Engineering Informatics, Vol.50, 101434. (October)

Jo, Y., Lee, S., Lee, Y., Kahng, H., Park, S., Bae, S, Kim, M.K., Han, S.W., Kim, S.B. * (2021). Semantic segmentation of cabbage in the South Korea highlands with images by unmanned aerial vehicles, Applied Sciences, 11(10), 4493

Lee, Y.J., Kahng, H., Kim, S.B. (2021). Generative adversarial networks for De Novo molecular design, Molecular Informatics, 40, 2100045.

Jang, G., Singh, S.K., Lim, S., Bae, J., Heo, J., Zhang, Y., Shin W.G., Kim, S.B., (2024). Self- and semi-supervised learning for evacuation time modeling within fire emergencies in nuclear power plants, Process Safety and Environmental Protection, Vol. 188, pp. 1256-1267. (August)

Lee, J., Cho, H., Yoo, Y., Kim, S. B., Jeong, Y. (2024). Compose and conquer: diffusion-based 3D depth aware composable image synthesis. In The Twelfth International Conference on Learning Representations (ICLR). Vienna, Austria.

Cho, H., Lee, J., Kim, S. B., Oh, T. H., Jeong, Y. (2024). Noise map guidance: inversion with spatial context for real image editing. In The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria.

Jo, Y., Kahng, H., Kim, S.B. (2024). Deep semi-supervised regression via pseudo-label filtering and calibration, Applied Soft Computing, Vol. 161, 111670.

Lee, J., Kim, Y., Kim, S.B. (2023). Noise-robust graph-based semi-supervised learning with dynamic shaving label propagation, Applied Soft Computing, Vol.142, 110371 (July)

Lee, Y.J., Kim, J., Kwak, M., Park, Y.J., Kim, S.B. (2023). STACoRe: Spatio-temporal and action-based contrastive representations for reinforcement learning in Atari, Neural Networks, Vol.160, Page 1-11 (March)

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(19), 12357.