Journal Publications

Published

  1. J. Chung, and H. Kim. “Crime risk maps: a multivariate spatial analysis of crime data,” Geographical analysis 51.4 (2019): 475-499.
    [Paper]
  2. J. Chung, B. Shen, A.C.C Law and Z.J. Kong. “Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing.” Journal of Manufacturing Systems 65 (2022): 822-835.
    [Paper]
    • Winner for IISE QCRE Division Best Student Paper Award
  3. J. Chung, B. Shen, and Z.J. Kong. “A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multi-station Assembly Systems.” IISE Transactions 56.1 (2024): 84-97.
    [Paper]
  4. A.C.C Law, R. Wang, J. Chung, D. Garcia, E. Kucukdger, B.N Johnson, and Z.J. Kong. “Process Parameter Optimization for Reproducible Fabrication of 3D-printed Tissue Scaffold Porosity and Mechanical Properties.” Journal of Intelligent Manufacturing 35.4 (2024): 1825-1844.
    [Paper]
  5. J. Chung, B. Shen, and Z.J. Kong. “Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network.” Journal of Intelligent Manufacturing 35.5 (2024): 2387-2406.
    [Paper]
  6. R. Gnanasambandam, B. Shen, J. Chung, X. Yue, and Z.J. Kong. “Self-scalable Tanh (Stan): Accelerated Convergence and Better Generalization of Physics-Informed Neural Networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence 45.12 (2023): 15588-15603
    [Paper]
    • Winner for IISE QCRE/ProcessMiner Data Challenge Competition
    • Winner for Informs DMDA Workshop Poster Competition
  7. N.Jordan, J. Chung, Z.J. Kong, and C. Williams. “Ensuring Additive Manufacturing Quality And Cyber-Physical Security Via Side Channel Measurements And Transmissions.” Journal of Manufacturing Systems 73 (2024): 275-286.
    [Paper]
  8. J. Chung, J. Li, A. Saimon, P. Hong, and Z.J. Kong. “Predicting the Stereoselectivity of Chemical Transformations by the Composite Machine Learning Method.” Scientific Reports 14.1 (2024): 12131.
    [Paper]
  9. J. Chung, J. Zhang, Y. Liu, A. Saimon, B.N Johnson, and Z.J. Kong. “Imbalanced Spectral Data Analysis using Data Augmentation based on the Generative Adversarial Network.” Scientific Reports 14.1 (2024): 13230.
    [Paper]
  10. J. Chung, and Z.J. Kong. “A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multi-Stage Assembly Systems.” IEEE Transactions on Automation Science and Engineering (2025): 20, 6716-6728.
    [Paper]
    • Finalist for IISE QCRE Division Best Track Paper Competition