Ling, M. H., Balakrishnan, N., & Bae, S. J. (2024). On the application of inverted Dirichlet distribution for reliability inference of completely censored components with dependence structure. Computers & Industrial Engineering, 196, 110452.
Kim, M. J., Chae, S. G., Bae, S. J., & Hwang, K. G. (2024). Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs. Scientific Reports, 14(1), 23237.
Chae, S. G., Bae, S. J., & Oh, K. Y. (2025). State-of-health estimation and remaining useful life prediction of lithium-ion batteries using DnCNN-CNN. Journal of Energy Storage, 106, 114826.
Bae, S. J., Kim, G. R., Chae, S. G., & Kim, Y. (2024). The Prediction of Serum C-Reactive Protein Concentration Using Nonlinear Mixed-Effects Model. IEEE Access.
Zhu, X., Hao, Y., & Bae, S. J. (2025). Stochastic programming on joint optimization of redundancy design and condition-based maintenance for continuously degrading systems subject to uncertain usage stresses. Reliability Engineering & System Safety, 111023.
Chae, S. G., & Bae, S. J. (2025). An adaptive mixture prior in Bayesian convolutional autoencoder for early detecting anomalous degradation behaviors in lithium-ion batteries. Reliability Engineering & System Safety, 259, 110926.
Wang, P., & Bae, S. J. (2025). A Bayesian Tweedie Exponential Dispersion Process with a Change-Point for Two-Phase Degradation Data. IISE Transactions, (just-accepted), 1-25.
Ling, M. H., Bae, S. J., Jin, S., & Ng, H. K. T. (2025). An Extended Gamma Process for Accelerated Destructive Degradation Test: Modeling and Optimal Design. IEEE Transactions on Reliability.
Chen, Y., Yuan, T., & Bae, S. J. (2025). Redundancy Allocation Problem for a Continuous‐State Series‐Parallel System With Degrading Components: Electric Vehicle Application. Quality and Reliability Engineering International, 41(2), 719-731.
Jun Young Byun, Yosep Na, and Jae Wook Song*. "Learning stock price signals from candlestick chart via vision Transformer." International Review of Financial Analysis (Submitted)
Na, Yosep, Jun Young Byun, and Jae Wook Song*. "Probabilistic forecasting of high-frequency realized cryptocurrency volatility via CEEMDAN-integrated autoregressive recurrent neural network." Physica A: Statistical Mechanics and its Applications (Under review)
unwoo Kim+, Hun Im+, Woojun Lee, Seonggye Lee, Pilsung Kang*. (2024). RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution Shift. Neurocomputings, 619, 129167. (+: Equally contributed)
Lim, M. W., and Bae*, S. J. (2024), "A Spatio-Temporal Gaussian Process with Change-Points for Image-Based Degradation Data," Revision in IISE Transactions.
Ling, M. H., Balakrishnan, N., & Bae, S. J. (2024). On the application of inverted Dirichlet distribution for reliability inference of completely censored components with dependence structure. Computers & Industrial Engineering, 196, 110452.
Kim, M. J., Chae, S. G., Bae, S. J., & Hwang, K. G. (2024). Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs. Scientific Reports, 14(1), 23237.
Chae, S. G., Bae, S. J., & Oh, K. Y. (2025). State-of-health estimation and remaining useful life prediction of lithium-ion batteries using DnCNN-CNN. Journal of Energy Storage, 106, 114826.
Bae, S. J., Kim, G. R., Chae, S. G., & Kim, Y. (2024). The Prediction of Serum C-Reactive Protein Concentration Using Nonlinear Mixed-Effects Model. IEEE Access.
Bae, S. J., & Lim, M. (2025). A nonlinear quantile regression for accelerated destructive degradation testing data. IISE Transactions, 57(6), 621-638.
Zhu, X., Hao, Y., & Bae, S. J. (2025). Stochastic programming on joint optimization of redundancy design and condition-based maintenance for continuously degrading systems subject to uncertain usage stresses. Reliability Engineering & System Safety, 111023.
Chae, S. G., & Bae, S. J. (2025). An adaptive mixture prior in Bayesian convolutional autoencoder for early detecting anomalous degradation behaviors in lithium-ion batteries. Reliability Engineering & System Safety, 259, 110926.
Wang, P., & Bae, S. J. (2025). A Bayesian Tweedie Exponential Dispersion Process with a Change-Point for Two-Phase Degradation Data. IISE Transactions, (just-accepted), 1-25.
Ling, M. H., Bae, S. J., Jin, S., & Ng, H. K. T. (2025). An Extended Gamma Process for Accelerated Destructive Degradation Test: Modeling and Optimal Design. IEEE Transactions on Reliability.
Chen, Y., Yuan, T., & Bae, S. J. (2025). Redundancy Allocation Problem for a Continuous‐State Series‐Parallel System With Degrading Components: Electric Vehicle Application. Quality and Reliability Engineering International, 41(2), 719-731.
Jun Young Byun, Yosep Na, and Jae Wook Song*. "Learning stock price signals from candlestick chart via vision Transformer." International Review of Financial Analysis (Submitted)
Na, Yosep, Jun Young Byun, and Jae Wook Song*. "Probabilistic forecasting of high-frequency realized cryptocurrency volatility via CEEMDAN-integrated autoregressive recurrent neural network." Physica A: Statistical Mechanics and its Applications (Under review)
Gunho No+, Yukyung Lee+, Hyeongwon Kang, Pilsung Kang*. (2024). Training-free Retrieval-based Log Anomaly Detection with Pre-trained Language Model considering Token-level Information. Engineering Applications of Artificial Intelligence, 133, 108613. (+: Equally contributed)
Hyeongwon Kang, Pilsung Kang*. (2024). Transformer-based Multivariate Time Series Anomaly Detection using Inter-Variable Attention Mechanism. Knowledge-Based Systems, 290, 111507.
unwoo Kim+, Hun Im+, Woojun Lee, Seonggye Lee, Pilsung Kang*. (2024). RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution Shift. Neurocomputings, 619, 129167. (+: Equally contributed)
Lim, M. W., and Bae*, S. J. (2024), "A Spatio-Temporal Gaussian Process with Change-Points for Image-Based Degradation Data," Revision in IISE Transactions.