Xiaowei Yue

According to our database, Xiaowei Yue authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

WOOD: Wasserstein-Based Out-of-Distribution Detection.

Yinan Wang, Wenbo Sun, Jionghua Jin, Zhenyu James Kong, Xiaowei Yue

IEEE Trans. Pattern Anal. Mach. Intell., February, 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

Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning.

Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue

CoRR, 2024

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

2023

Failure-Averse Active Learning for Physics-Constrained Systems.

Cheolhei Lee, Xing Wang, Jianguo Wu, Xiaowei Yue

IEEE Trans Autom. Sci. Eng., October, 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., October, 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, January, 2023

Partitioned Active Learning for Heterogeneous Systems.

Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue

J. Comput. Inf. Sci. Eng., 2023

2022

A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction.

Zhen Li, Yongxiang Li, Xiaowei Yue, Enrico Zio, Jianguo Wu

IEEE Trans. Instrum. Meas., 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

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

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

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

Yinhua Liu, Wenzheng Zhao, Hongpeng Liu, Yinan Wang, Xiaowei Yue

CoRR, 2022

Stress-Aware Optimal Placement of Actuators for Ultra-High Precision Quality Control of Composite Structures Assembly.

Areej AlBahar, Inyoung Kim, Tim Lutz, Xiaowei Yue

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.

Zhen Li, Jianguo Wu, Xiaowei Yue

IEEE Trans. Neural Networks Learn. Syst., 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

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.

Zhe Gao, Weihong Guo, Xiaowei Yue

IEEE Trans Autom. Sci. Eng., 2021

2020

Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection.

Xiaowei Yue, Jin Gyu Park, Zhiyong Liang, Jianjun Shi

Technometrics, 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

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

Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue

CoRR, 2020

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

Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue

CoRR, 2020

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

Yinan Wang, Weihong Guo, Xiaowei Yue

CoRR, 2020

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

Yinhua Liu, Wenzheng Zhao, Rui Sun, Xiaowei Yue

CoRR, 2020

2018

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

IEEE Trans Autom. Sci. Eng., 2018

2017

Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper.

Xiaowei Yue, Kan Wang, Hao Yan, Jin Gyu Park, Zhiyong Liang, Chuck Zhang, Ben Wang, Jianjun Shi

IEEE Trans Autom. Sci. Eng., 2017