Working Papers
- Efficient Multi-Block Calibration via Adaptive Block-Coordinate Bayesian Optimization, In Preparation, 2026+.
Refereed Journal Publications
Jeong, C. & Byon, E., Multivariate Nonparametric Functional Calibration of Engineering Wake Models in Multi-Turbine Wind Farms, Under Review, 2026+.
Jeong, C. & Byon, E., Explainable Parameter Calibration via Importance-Driven Sequential Design, Under Review (2nd round), 2026+.
– Finalist, Best Student Paper Award in the QSR Section, INFORMS, 2024.Jeong, C., Yue, X., & Chung, S., Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning, Reliability Engineering and System Safety, 267, 111833, 2026.
Jeong, C., Byon, E., He, F., & Fang, X., Tensor-Based Statistical Learning Methods for Diagnosing Product Quality Defects, IISE Transactions, 57(6), 706-723, 2024.
Jeong, C. & Byon, E., Calibration of Building Energy Computer Models via Bias-Corrected Iteratively Reweighted Least Squares Method, Applied Energy, 360, 122753, 2024.
Jeong, C., Xu, Z., Byon, E., Berahas, A. S., & Cetin, K., Multi-Block Parameter Calibration in Computer Models, INFORMS Journal on Data Science, 2(2), 116-137, 2023.
– Winner, Richard C. Wilson Best Paper Prize, University of Michigan, 2023.
– Research Spotlight, INFORMS Journal on Data Science, 2025.Jeong, C. & Fang, X., Two-Dimensional Variable Selection and Its Applications in the Diagnostics of Product Quality Defects, IISE Transactions, 54(7), 619-629, 2022.
– Winner, Best Student Paper Award in the QCRE Division, IISE, 2020.
Refereed Conference Proceedings
- Xu, Z., Jeong, C., Byon, E., & Cetin, K., Season-Dependent Parameter Calibration in Building Energy Simulation, Proceedings of the 2021 IISE Annual Conference, 2021.
– Finalist, Best Paper Award in the DAIS Division, IISE, 2021.
Technical Reports
- Jeong, C., A New Possibility for Real Estate Auction Event Data: Examining the Correlation Between Real Estate Auction Events and Mortality Risk, Credit Insight, Summer Vol., 22-34, 2017.