Variation Source Identification in Manufacturing Processes Using Bayesian Approach With Sparse Variance Components Prior. - Jaesung Lee 002; Junbo Son; Shiyu Zhou; Yong Chen (IEEE Trans Autom. Sci. Eng., 2020)

Statistical Modeling and Analysis of k-Layer Coverage of Two-Dimensional Materials in Inkjet Printing Processes. - Jaesung Lee 002; Shiyu Zhou; Junhong Chen (Technometrics, 2021)

Mixed-Input Bayesian Optimization Method for Structural Damage Diagnosis. - Congfang Huang; Jaesung Lee 002; Yang Zhang; Shiyu Zhou; Jiong Tang (IEEE Trans. Reliab., 2023)

Robust Parameter Design on Dual Stochastic Response Models With Constrained Bayesian Optimization. - Jaesung Lee 002; Shiyu Zhou; Junhong Chen (IEEE Trans Autom. Sci. Eng., 2024)

A New View of Neural Network-Based Health Index: Connecting Prediction and Operational Decision-Making to Address Underspecification. - Zihan Li; Akash Deep; Jaesung Lee 002; Minhee Kim (IEEE Trans Autom. Sci. Eng., 2025)

Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data. - Tatthapong Srikitrungruang; Matthew Lemon; Sina Aghaee Dabaghan Fard; Jaesung Lee 002; Yuxiao Zhou 010 (CoRR, 2025)

Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction. - Sina Aghaee Dabaghan Fard; Minhee Kim; Akash Deep; Jaesung Lee 002 (CoRR, 2025)