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Xiaowei Yue
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Journal Articles
- 2024
- [j15]Yinan Wang, Wenbo Sun, Jionghua Jin, Zhenyu James Kong, Xiaowei Yue:
WOOD: Wasserstein-Based Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 944-956 (2024) - 2023
- [j14]Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue:
Partitioned Active Learning for Heterogeneous Systems. J. Comput. Inf. Sci. Eng. 23(4) (2023) - [j13]Cheolhei Lee, Xing Wang, Jianguo Wu, Xiaowei Yue:
Failure-Averse Active Learning for Physics-Constrained Systems. IEEE Trans Autom. Sci. Eng. 20(4): 2215-2226 (2023) - [j12]Areej AlBahar, Inyoung Kim, Xing Wang, Xiaowei Yue:
Physics-Constrained Bayesian Optimization for Optimal Actuators Placement in Composite Structures Assembly. IEEE Trans Autom. Sci. Eng. 20(4): 2772-2783 (2023) - [j11]Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li:
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning. Technometrics 65(1): 19-32 (2023) - 2022
- [j10]Yinhua Liu, Wenzheng Zhao, Tim Lutz, Xiaowei Yue:
Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems. J. Intell. Manuf. 33(8): 2457-2470 (2022) - [j9]Wenjia Wang, Xiaowei Yue, Benjamin Haaland, C. F. Jeff Wu:
Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process. SIAM/ASA J. Uncertain. Quantification 10(2): 619-650 (2022) - [j8]Areej AlBahar, Inyoung Kim, Xiaowei Yue:
A Robust Asymmetric Kernel Function for Bayesian Optimization, With Application to Image Defect Detection in Manufacturing Systems. IEEE Trans Autom. Sci. Eng. 19(4): 3222-3233 (2022) - [j7]Zhen Li, Yongxiang Li, Xiaowei Yue, Enrico Zio, Jianguo Wu:
A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - 2021
- [j6]Zhe Gao, Weihong Guo, Xiaowei Yue:
Optimal Integration of Supervised Tensor Decomposition and Ensemble Learning for In Situ Quality Evaluation in Friction Stir Blind Riveting. IEEE Trans Autom. Sci. Eng. 18(1): 19-35 (2021) - [j5]Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi:
Active Learning for Gaussian Process Considering Uncertainties With Application to Shape Control of Composite Fuselage. IEEE Trans Autom. Sci. Eng. 18(1): 36-46 (2021) - [j4]Zhen Li, Jianguo Wu, Xiaowei Yue:
A Shape-Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5022-5033 (2021) - 2020
- [j3]Xiaowei Yue, Jin Gyu Park, Zhiyong Liang, Jianjun Shi:
Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection. Technometrics 62(1): 116-129 (2020) - 2018
- [j2]Xiaowei Yue, Hao Yan, Jin Gyu Park, Zhiyong Liang, Jianjun Shi:
A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy. IEEE Trans Autom. Sci. Eng. 15(3): 1258-1271 (2018) - 2017
- [j1]Xiaowei Yue, Kan Wang, Hao Yan, Jin Gyu Park, Zhiyong Liang, Chuck Zhang, Ben Wang, Jianjun Shi:
Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper. IEEE Trans Autom. Sci. Eng. 14(1): 196-207 (2017)
Conference and Workshop Papers
- 2022
- [c1]Areej AlBahar, Inyoung Kim, Tim Lutz, Xiaowei Yue:
Stress-Aware Optimal Placement of Actuators for Ultra-High Precision Quality Control of Composite Structures Assembly. CASE 2022: 2178-2183
Informal and Other Publications
- 2024
- [i16]Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu James Kong, Chenang Liu:
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. CoRR abs/2403.00669 (2024) - [i15]Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue:
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning. CoRR abs/2406.02582 (2024) - [i14]Xinming Wang, Yongxiang Li, Xiaowei Yue, Jianguo Wu:
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior. CoRR abs/2409.03149 (2024) - 2022
- [i13]Yinhua Liu, Wenzheng Zhao, Hongpeng Liu, Yinan Wang, Xiaowei Yue:
Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty. CoRR abs/2201.04310 (2022) - 2021
- [i12]Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue:
Partitioned Active Learning for Heterogeneous Systems. CoRR abs/2105.08547 (2021) - [i11]Yinhua Liu, Wenzheng Zhao, Tim Lutz, Xiaowei Yue:
Task Allocation and Coordinated Motion Planning for Autonomous Multi-Robot Optical Inspection Systems. CoRR abs/2106.08164 (2021) - [i10]Areej AlBahar, Inyoung Kim, Xiaowei Yue:
A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems. CoRR abs/2109.10898 (2021) - [i9]Cheolhei Lee, Xing Wang, Jianguo Wu, Xiaowei Yue:
Failure-averse Active Learning for Physics-constrained Systems. CoRR abs/2110.14443 (2021) - [i8]Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu James Kong, Xiaowei Yue:
WOOD: Wasserstein-based Out-of-Distribution Detection. CoRR abs/2112.06384 (2021) - 2020
- [i7]Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi:
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage. CoRR abs/2004.10931 (2020) - [i6]Yinhua Liu, Wenzheng Zhao, Rui Sun, Xiaowei Yue:
Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces. CoRR abs/2005.07823 (2020) - [i5]Yinan Wang, Weihong Guo, Xiaowei Yue:
CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning. CoRR abs/2005.13746 (2020) - [i4]Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li:
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning. CoRR abs/2009.11713 (2020) - [i3]Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue:
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. CoRR abs/2011.10227 (2020) - [i2]Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue:
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly. CoRR abs/2011.10861 (2020) - [i1]Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue:
NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis. CoRR abs/2012.06914 (2020)
Coauthor Index
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