Xianchao Xiu

According to our database, Xianchao Xiu authored at least 34 papers between 2018 and 2024.

Collaborative distances:

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

2024

Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection.

Xianchao Xiu, Lili Pan, Ying Yang, Wanquan Liu

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Moving object detection in gigapixel-level videos using manifold sparse representation.

Jingjing Liu, Manlong Feng, Dongzhou Gu, Xiaoyang Zeng, Wanquan Liu, Xianchao Xiu

Multim. Tools Appl., February, 2024

A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics.

Xianchao Xiu, Yuhan Zhang, Yufei Guo, Xiaode Liu, Ying Yang

IEEE Trans. Instrum. Meas., 2024

2023

Learning High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis.

Jianqin Sun, Xianchao Xiu, Ziyan Luo, Wanquan Liu

IEEE Trans. Circuits Syst. Video Technol., October, 2023

A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications.

Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong

Stat. Anal. Data Min., October, 2023

An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications.

Wentao Qu, Xianchao Xiu, Haifei Zhang, Jun Fan

J. Comput. Appl. Math., May, 2023

Toward Efficient Process Monitoring Using Spatiotemporal PCA.

Yunhui Li, Xianchao Xiu, Wanquan Liu

IEEE Trans. Circuits Syst. II Express Briefs, February, 2023

Structured Joint Sparse Orthogonal Nonnegative Matrix Factorization for Fault Detection.

Xi Zhang, Xianchao Xiu, Chao Zhang

IEEE Trans. Instrum. Meas., 2023

A Sparsity-Aware Fault Diagnosis Framework Focusing on Accurate Isolation.

Xianchao Xiu, Zhonghua Miao, Wanquan Liu

IEEE Trans. Ind. Informatics, 2023

An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection.

Huangyue Chen, Lingchen Kong, Wentao Qu, Xianchao Xiu

IEEE Signal Process. Lett., 2023

Robust Transfer Subspace Learning: A Novel Data-Driven Scheme for Fault Diagnosis.

Fuchao Yu, Xianchao Xiu

Proceedings of the CAA Symposium on Fault Detection, 2023

2022

A Data-Driven Modeling Method for Stochastic Nonlinear Degradation Process With Application to RUL Estimation.

Yuhan Zhang, Ying Yang, He Li, Xianchao Xiu, Wanquan Liu

IEEE Trans. Syst. Man Cybern. Syst., 2022

Fusion-UDCGAN: Multifocus Image Fusion via a U-Type Densely Connected Generation Adversarial Network.

Yuan Gao, Shiwei Ma, Jingjing Liu, Xianchao Xiu

IEEE Trans. Instrum. Meas., 2022

Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization for Nonlinear Process Monitoring.

Xianchao Xiu, Zhonghua Miao, Ying Yang, Wanquan Liu

IEEE Trans. Ind. Informatics, 2022

Efficient and Robust Process Monitoring Using Structured Low-Rank Representation.

Zhonghua Miao, Xianchao Xiu

IEEE Trans. Circuits Syst. II Express Briefs, 2022

An Efficient Newton-Based Method for Sparse Generalized Canonical Correlation Analysis.

Xinrong Li, Xianchao Xiu, Wanquan Liu, Zhonghua Miao

IEEE Signal Process. Lett., 2022

A Spatiotemporal Calibration Algorithm for IMU-LiDAR Navigation System Based on Similarity of Motion Trajectories.

Yunhui Li, Shize Yang, Xianchao Xiu, Zhonghua Miao

Sensors, 2022

2021

Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization.

Xianchao Xiu, Jun Fan, Ying Yang, Wanquan Liu

IEEE Trans. Instrum. Meas., 2021

A Remaining Useful Life Prediction Method in the Early Stage of Stochastic Degradation Process.

Yuhan Zhang, Ying Yang, Xianchao Xiu, He Li, Ruijie Liu

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis.

Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu

IEEE Trans. Circuits Syst. II Express Briefs, 2021

A novel scheme for multivariate statistical fault detection with application to the Tennessee Eastman process.

Nana Xu, Jun Sun, Jingjing Liu, Xianchao Xiu

Math. Found. Comput., 2021

Manifold constrained joint sparse learning via non-convex regularization.

Jingjing Liu, Xianchao Xiu, Xin Jiang, Wanquan Liu, Xiaoyang Zeng, Mingyu Wang, Hui Chen

Neurocomputing, 2021

A Data Driven RUL Prediction and Predictive Maintenance for Stochastic Degrading Systems.

Yuhan Zhang, Xianchao Xiu, Ying Yang

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Detecting moving objects from dynamic background combining subspace learning with mixed norm approach.

Yuqiu Lu, Jingjing Liu, Wang Liu, Shiwei Ma, Xianchao Xiu, Wanquan Liu, Hui Chen

Multim. Tools Appl., 2020

tSSNALM: A fast two-stage semi-smooth Newton augmented Lagrangian method for sparse CCA.

Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu

Appl. Math. Comput., 2020

Manifold Constrained Low-Rank and Joint Sparse Learning for Dynamic Cardiac MRI.

Qingmin Meng, Xianchao Xiu, Yan Li

IEEE Access, 2020

2019

Nonconvex mixed matrix minimization.

Meijuan Shang, Yanan Liu, Lingchen Kong, Xianchao Xiu, Ying Yang

Math. Found. Comput., 2019

Alternating direction method of multipliers for nonconvex fused regression problems.

Xianchao Xiu, Wanquan Liu, Ling Li, Lingchen Kong

Comput. Stat. Data Anal., 2019

ManiDec: Manifold Constrained Low-Rank and Sparse Decomposition.

Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Wenhong Li

IEEE Access, 2019

Bayesian Face Recognition Approach Based on Feature Fusion.

Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Hui Chen, Yuyao Xiao

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

Face recognition based on manifold constrained joint sparse sensing with K-SVD.

Jingjing Liu, Wanquan Liu, Shiwei Ma, Chong Lu, Xianchao Xiu, Chathurdara Sri Nadith Pathirage, Ling Li, Guanghua Chen, Weimin Zeng

Multim. Tools Appl., 2018

Iterative reweighted methods for \(\ell _1-\ell _p\) minimization.

Xianchao Xiu, Lingchen Kong, Yan Li, Houduo Qi

Comput. Optim. Appl., 2018

Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity.

Yongsheng Wei, Yanyan Liu, Li Jia, Xianchao Xiu, Jingjing Liu

Proceedings of the 14th International Conference on Natural Computation, 2018

A Novel Detection Approach for Moving Object with Dynamic Background.

Yuqiu Lu, Jingjing Liu, Shiwei Ma, Xianchao Xiu, Wanquan Liu

Proceedings of the 14th International Conference on Natural Computation, 2018