Journal Papers

54. Gon Kim , Kyuchang Chang , Yunseon Byun, Jun-Geol Baek, "Autonomous PID Tuning: Two-Phase Reinforcement Learning Through Adversarial Imitation Learning Under Imperfect Demonstrations" , IEEE Transactions on Automation Science and Engineering, 2025. 08.

53. Junyong Lee, Yunseon Byun, Byoungmo Koo, Jun-Geol Baek, "Memory augmented coherent probabilistic forecasts for hierarchically related time series" , Neurocomputing, 2025. 11.

52. Seungchan Roh , Seunghwan Song , Kwan-Yong Park , Byoung-mo Koo , Jun-Geol Baek, "Quality boost of tabular data synthesis using interpolative cumulative distribution function decoding and type-specific conditioner" , Neurocomputing, 2025. 09

51. Cheolsoon Park, Seunghwan Song, Jun-Geol Baek, "AW-CES: adaptively weighted-cumulative error scoring for autoencoder-based anomaly detection on unlabeled data" , International Journal of Data Science and Analytics, 2025. 03

50. Beomseok Song, Seunghwan Song, Jun-Geol Baek, "Deep Clustering and Regression Ensemble Network for Lot Cycle Time Prediction in Semiconductor Wafer Fabrication" , IEEE Transactions on Semiconductor Manufacturing, 2025. 01.

49. Seunghwan Song, Kyuchang Chang, Cheolsoon Park, Jun-Geol Baek, "Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection" , Journal of Intelligent Manufacturing, 2025. 01.

48. Yunseon Byun, Daeju Maeng, Jun-Geol Baek, "Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals" , International Journal of Production Research, 2024. 11.

47. Yeseul Lee, Seunghwan Song, Kwan-Yong Park, Byoung-mo Koo, Jun-Geol Baek, "Anomaly Detection Framework with Contrastive Learning and Multi-view Augmentation for Time Series Domain Generalization" , IEEE Transactions on Instrumentation and Measurement, 2024. 11.

46. Dae-Jung Ahn, Changdong Jun, Seunghwan Song, Jun-Geol Baek, "Production System Maturity Model (PSMM) for Assessing Manufacturing Execution System" , IEEE Access, 2024.09.

45. Yeong-Min Kim, Seunghwan Song, Byoung-Mo Koo, Jeena Son, Yeseul Lee, Jun-Geol Baek, "Enhancing Long-Term Cloud Workload Forecasting Framework: Anomaly Handling and Ensemble Learning in Multivariate Time Series" , IEEE Transactions on Cloud Computing, 2024. 05.