Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper. - Xiaowei Yue; Kan Wang 001; Hao Yan; Jin Gyu Park; Zhiyong Liang; Chuck Zhang; Ben Wang 001; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2017)

A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy. - Xiaowei Yue; Hao Yan; Jin Gyu Park; Zhiyong Liang; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2018)

Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces. - Yinhua Liu; Wenzheng Zhao; Rui Sun; Xiaowei Yue (CoRR, 2020)

CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning. - Yinan Wang; Weihong Guo 001; Xiaowei Yue (CoRR, 2020)

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. - Yinan Wang; Diane Oyen; Weihong Guo 001; Anishi Mehta; Cory Braker Scott; Nishant Panda; M. Giselle Fernández-Godino; Gowri Srinivasan; Xiaowei Yue (CoRR, 2020)

Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly. - Cheolhei Lee; Jianguo Wu; Wenjia Wang; Xiaowei Yue (CoRR, 2020)

NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis. - Yinan Wang; Kaiwen Wang; Wenjun Cai; Xiaowei Yue (CoRR, 2020)

Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection. - Xiaowei Yue; Jin Gyu Park; Zhiyong Liang; Jianjun Shi 001 (Technometrics, 2020)

Optimal Integration of Supervised Tensor Decomposition and Ensemble Learning for In Situ Quality Evaluation in Friction Stir Blind Riveting. - Zhe Gao; Weihong Guo 001; Xiaowei Yue (IEEE Trans Autom. Sci. Eng., 2021)

Active Learning for Gaussian Process Considering Uncertainties With Application to Shape Control of Composite Fuselage. - Xiaowei Yue; Yuchen Wen; Jeffrey H. Hunt; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2021)

A Shape-Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction. - Zhen Li 051; Jianguo Wu; Xiaowei Yue (IEEE Trans. Neural Networks Learn. Syst., 2021)

Stress-Aware Optimal Placement of Actuators for Ultra-High Precision Quality Control of Composite Structures Assembly. - Areej AlBahar; Inyoung Kim; Tim Lutz; Xiaowei Yue (CASE, 2022)

Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty. - Yinhua Liu; Wenzheng Zhao; Hongpeng Liu; Yinan Wang; Xiaowei Yue (CoRR, 2022)

Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems. - Yinhua Liu; Wenzheng Zhao; Tim Lutz; Xiaowei Yue (J. Intell. Manuf., 2022)

Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process. - Wenjia Wang; Xiaowei Yue; Benjamin Haaland; C. F. Jeff Wu (SIAM/ASA J. Uncertain. Quantification, 2022)

A Robust Asymmetric Kernel Function for Bayesian Optimization, With Application to Image Defect Detection in Manufacturing Systems. - Areej AlBahar; Inyoung Kim; Xiaowei Yue (IEEE Trans Autom. Sci. Eng., 2022)

A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction. - Zhen Li 051; Yongxiang Li; Xiaowei Yue; Enrico Zio; Jianguo Wu (IEEE Trans. Instrum. Meas., 2022)

Partitioned Active Learning for Heterogeneous Systems. - Cheolhei Lee; Kaiwen Wang; Jianguo Wu; Wenjun Cai; Xiaowei Yue (J. Comput. Inf. Sci. Eng., 2023)

Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning. - Ruiyu Xu; Jianguo Wu; Xiaowei Yue; Yongxiang Li (Technometrics, 2023)

Physics-Constrained Bayesian Optimization for Optimal Actuators Placement in Composite Structures Assembly. - Areej AlBahar; Inyoung Kim; Xing Wang; Xiaowei Yue (IEEE Trans Autom. Sci. Eng., 2023)

Failure-Averse Active Learning for Physics-Constrained Systems. - Cheolhei Lee; Xing Wang; Jianguo Wu; Xiaowei Yue (IEEE Trans Autom. Sci. Eng., 2023)

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. - Amirul Islam Saimon; Emmanuel Yangue; Xiaowei Yue; Zhenyu James Kong; Chenang Liu (CoRR, 2024)

Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning. - Yinan Wang; M. Giselle Fernández-Godino; Nipun Gunawardena; Donald D. Lucas; Xiaowei Yue (CoRR, 2024)

Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior. - Xinming Wang; Yongxiang Li; Xiaowei Yue; Jianguo Wu (CoRR, 2024)

WOOD: Wasserstein-Based Out-of-Distribution Detection. - Yinan Wang; Wenbo Sun; Jionghua Jin 001; Zhenyu James Kong; Xiaowei Yue (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Stress-Aware Optimal Placement of Actuators for High Precision Quality Management in Composite Aircraft Assembly. - Areej AlBahar; Inyoung Kim; Oliver Tim Lutz; Xing Wang; Xiaowei Yue (IEEE Trans Autom. Sci. Eng., 2025)

Self-Supervised Production Anomaly Detection and Progress Prediction Based on High-Streaming Videos. - Yifan Li; Zhi-Hai Zhang; Jiaqi Xu; Xiaowei Yue; Li Zheng 002 (IEEE Trans Autom. Sci. Eng., 2025)