Xiaowei Yue

Orcid: 0000-0001-6019-0940

According to our database1, Xiaowei Yue authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
WOOD: Wasserstein-Based Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges.
CoRR, 2024

2023
Failure-Averse Active Learning for Physics-Constrained Systems.
IEEE Trans Autom. Sci. Eng., October, 2023

Physics-Constrained Bayesian Optimization for Optimal Actuators Placement in Composite Structures Assembly.
IEEE Trans Autom. Sci. Eng., October, 2023

Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning.
Technometrics, January, 2023

Partitioned Active Learning for Heterogeneous Systems.
J. Comput. Inf. Sci. Eng., 2023

2022
A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2022

A Robust Asymmetric Kernel Function for Bayesian Optimization, With Application to Image Defect Detection in Manufacturing Systems.
IEEE Trans Autom. Sci. Eng., 2022

Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process.
SIAM/ASA J. Uncertain. Quantification, 2022

Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems.
J. Intell. Manuf., 2022

Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty.
CoRR, 2022

Stress-Aware Optimal Placement of Actuators for Ultra-High Precision Quality Control of Composite Structures Assembly.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
A Shape-Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2021

Active Learning for Gaussian Process Considering Uncertainties With Application to Shape Control of Composite Fuselage.
IEEE Trans Autom. Sci. Eng., 2021

Optimal Integration of Supervised Tensor Decomposition and Ensemble Learning for In Situ Quality Evaluation in Friction Stir Blind Riveting.
IEEE Trans Autom. Sci. Eng., 2021

2020
Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection.
Technometrics, 2020

NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis.
CoRR, 2020

Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly.
CoRR, 2020

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.
CoRR, 2020

CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning.
CoRR, 2020

Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces.
CoRR, 2020

2018
A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy.
IEEE Trans Autom. Sci. Eng., 2018

2017
Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper.
IEEE Trans Autom. Sci. Eng., 2017


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