Jihoon Chung

Jihoon Chung

Ph.D. Department of Industrial and Systems Engineering, Virginia Tech

Journal Publications

Published/Accepted

  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.” Accepted at IISE Transactions (2023).
    [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.” Accepted at Journal of Intelligent Manufacturing (2023).
    [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.” Accepted at Journal of Intelligent Manufacturing (2023).
    [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.” Accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).
    [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.” Accepted at Journal of Manufacturing Systems (2024).
  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.” Accepted at Scientific Reports (2024).
  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.” Accepted at Scientific Reports (2024).
  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.” Accepted at IEEE Transactions on Automation Science and Engineering (2024).
    [Paper]
    • Finalist for IISE QCRE Division Best Track Paper Competition