International Journals

  1. Iljeok Kim, Seungchul Lee, and Jong Pil Yun, “Explainable Uncertainty Visualization and Interpretation of Bayesian Deep Networks,” under writing.
  2. Iljeok Kim+, Woosang Shin+, Jonghyeon Lee, Seungchul Lee, and Jong Pil Yun*, “High-Resolution Neural Attenuation Field for Industrial Computed Tomography,” under revision.
  1. Iljeok Kim, Sung Wook Kim, Jeongsan Kim, Hyunsuk Huh, Iljoo Jeong, Taegyu Choi, Jeongchan Kim, and Seungchul Lee*, 2023, "Single Domain Generalizable and Physically Interpretable Bearing Fault Diagnosis for Unseen Working Conditions," Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2023.122455. (IF: 7.5, JCR 94.8% in Operations Research & Management Science)
  2. Iljeok Kim, Juwon Na, Jong Pil Yun*, and Seungchul Lee*, 2023, "Deep Feature Selection Framework for Quality Prediction in Injection Molding Process," IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/TII.2023.3268421. (IF: 11.7, JCR = 98.5% in Computer Science, Interdisciplinary Applications)
  3. Iljoo Jeong, Soo Young Lee, Keonhyeok Park, Iljeok Kim, Hyunsuk Huh, and Seungchul Lee*, 2023, "Wafer Map Failure Pattern Classification using Geometric Transformation-Invariant Convolutional Neural Network," Scientific Reports, https://doi.org/10.1038/s41598-023-34147-2.
  4. Sung Wook Kim, Iljeok Kim, Jonghwan Lee, and Seungchul Lee*, 2021, "Knowledge Integration into Deep Learning in Dynamical Systems: An Overview and Taxonomy," Journal of Mechanical Science and Technology, 35(4), https://doi.org/10.1007/s12206-021-0342-5.
  5. Eunji Lee, Iljeok Kim, Hyoryung Nam, Hyungkook Jeon, Geunbae Lim*, 2020, "Modulation of saliva pattern and accurate detection of ovulation using an electrolyte pre-deposition-based method: a pilot study", Analyst, 145(5), https://doi.org/10.1039/C9AN02169H.

International Conference Proceedings

  1. Iljeok Kim, Jong Pil Yun, Hong-In Won, and Seungchul Lee*, "Simulation-driven Bearing Fault Diagnosis for Condition Monitoring without Faulty Data", Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP 2023), Tokyo, Japan.
  2. Hyunsuk Huh, Jeong-Jung Kim, Iljeok Kim, Iljoo Jeong, Doo-Yeol Koh, Chang-Hyun Kim, and Seungchul Lee*, 2023, "Estimation of Simulated Physical Properties of an Object using Robot with Tactile Sensors and Attention Mechanism," 20th International Conference on Ubiquitous Robots (UR), Honolulu, USA.
  3. Iljeok Kim, Juwon Na, Jong Pil Yun and Seungchul Lee*, 2023, "Feature Selection for Process Optimization using Interpretable AI: Case Study on Injection Molding," Proceeding of the 9th International Conference on Manufacturing, Machine Design and Tribology (ICMDT2023), Jeju, Korea.
  4. Iljeok Kim, Sung Wook Kim, Jeongsan Kim, Taegyu Choi, Jungchan Kim, and Seungchul Lee*, 2021, "A Novel Interpretable and Generalized Learning Method for Bearing Fault Diagnosis," Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP 2021), Seoul, Korea.