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2020 – today
- 2025
[j32]Yanjiao Zhu
, Xinrong Li, Xianchao Xiu, Wanquan Liu, Chuancun Yin:
Robust and stochastic sparse subspace clustering. Neurocomputing 611: 128703 (2025)- 2024
- [j31]Wentao Qu, Huangyue Chen, Xianchao Xiu, Wanquan Liu:
Distributed sparsity constrained optimization over the Stiefel manifold. Neurocomputing 602: 128267 (2024) - [j30]Jingjing Liu, Manlong Feng, Dongzhou Gu, Xiaoyang Zeng, Wanquan Liu, Xianchao Xiu:
Moving object detection in gigapixel-level videos using manifold sparse representation. Multim. Tools Appl. 83(6): 18381-18405 (2024) - [j29]Jingjing Liu, Manlong Feng, Xianchao Xiu, Wanquan Liu:
Towards robust and sparse linear discriminant analysis for image classification. Pattern Recognit. 153: 110512 (2024) - [j28]Xianchao Xiu, Yuhan Zhang, Yufei Guo, Xiaode Liu, Ying Yang:
A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j27]Xianchao Xiu, Lili Pan, Ying Yang, Wanquan Liu:
Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4153-4163 (2024) - 2023
- [j26]Wentao Qu, Xianchao Xiu, Haifei Zhang, Jun Fan:
An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications. J. Comput. Appl. Math. 424: 115007 (2023) - [j25]Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong:
A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications. Stat. Anal. Data Min. 16(5): 436-455 (2023) - [j24]Huangyue Chen, Lingchen Kong, Wentao Qu, Xianchao Xiu:
An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection. IEEE Signal Process. Lett. 30: 1332-1336 (2023) - [j23]Yunhui Li, Xianchao Xiu, Wanquan Liu:
Toward Efficient Process Monitoring Using Spatiotemporal PCA. IEEE Trans. Circuits Syst. II Express Briefs 70(2): 551-555 (2023) - [j22]Jianqin Sun, Xianchao Xiu, Ziyan Luo, Wanquan Liu:
Learning High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5645-5654 (2023) - [j21]Xianchao Xiu, Zhonghua Miao, Wanquan Liu:
A Sparsity-Aware Fault Diagnosis Framework Focusing on Accurate Isolation. IEEE Trans. Ind. Informatics 19(2): 1356-1365 (2023) - [j20]Xi Zhang, Xianchao Xiu, Chao Zhang:
Structured Joint Sparse Orthogonal Nonnegative Matrix Factorization for Fault Detection. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [c5]Fuchao Yu, Xianchao Xiu:
Robust Transfer Subspace Learning: A Novel Data-Driven Scheme for Fault Diagnosis. SAFEPROCESS 2023: 1-5 - 2022
- [j19]Yunhui Li, Shize Yang, Xianchao Xiu, Zhonghua Miao:
A Spatiotemporal Calibration Algorithm for IMU-LiDAR Navigation System Based on Similarity of Motion Trajectories. Sensors 22(19): 7637 (2022) - [j18]Xinrong Li, Xianchao Xiu, Wanquan Liu, Zhonghua Miao:
An Efficient Newton-Based Method for Sparse Generalized Canonical Correlation Analysis. IEEE Signal Process. Lett. 29: 125-129 (2022) - [j17]Zhonghua Miao, Xianchao Xiu:
Efficient and Robust Process Monitoring Using Structured Low-Rank Representation. IEEE Trans. Circuits Syst. II Express Briefs 69(8): 3530-3534 (2022) - [j16]Xianchao Xiu, Zhonghua Miao, Ying Yang, Wanquan Liu:
Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization for Nonlinear Process Monitoring. IEEE Trans. Ind. Informatics 18(10): 6690-6699 (2022) - [j15]Yuan Gao, Shiwei Ma, Jingjing Liu, Xianchao Xiu:
Fusion-UDCGAN: Multifocus Image Fusion via a U-Type Densely Connected Generation Adversarial Network. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j14]Yuhan Zhang, Ying Yang, He Li, Xianchao Xiu, Wanquan Liu:
A Data-Driven Modeling Method for Stochastic Nonlinear Degradation Process With Application to RUL Estimation. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3847-3858 (2022) - 2021
- [j13]Jingjing Liu, Xianchao Xiu, Xin Jiang, Wanquan Liu, Xiaoyang Zeng, Mingyu Wang, Hui Chen:
Manifold constrained joint sparse learning via non-convex regularization. Neurocomputing 458: 112-126 (2021) - [j12]Nana Xu, Jun Sun, Jingjing Liu, Xianchao Xiu:
A novel scheme for multivariate statistical fault detection with application to the Tennessee Eastman process. Math. Found. Comput. 4(3): 167 (2021) - [j11]Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu:
Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis. IEEE Trans. Circuits Syst. II Express Briefs 68(1): 361-365 (2021) - [j10]Yuhan Zhang, Ying Yang, Xianchao Xiu, He Li, Ruijie Liu:
A Remaining Useful Life Prediction Method in the Early Stage of Stochastic Degradation Process. IEEE Trans. Circuits Syst. II Express Briefs 68(6): 2027-2031 (2021) - [j9]Xianchao Xiu, Jun Fan, Ying Yang, Wanquan Liu:
Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c4]Yuhan Zhang, Xianchao Xiu, Ying Yang:
A Data Driven RUL Prediction and Predictive Maintenance for Stochastic Degrading Systems. CAA SAFEPROCESS 2021: 1-5 - 2020
- [j8]Qingmin Meng, Xianchao Xiu, Yan Li:
Manifold Constrained Low-Rank and Joint Sparse Learning for Dynamic Cardiac MRI. IEEE Access 8: 142622-142631 (2020) - [j7]Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu:
tSSNALM: A fast two-stage semi-smooth Newton augmented Lagrangian method for sparse CCA. Appl. Math. Comput. 383: 125272 (2020) - [j6]Yuqiu Lu, Jingjing Liu, Wang Liu, Shiwei Ma, Xianchao Xiu, Wanquan Liu, Hui Chen:
Detecting moving objects from dynamic background combining subspace learning with mixed norm approach. Multim. Tools Appl. 79(25-26): 18747-18766 (2020)
2010 – 2019
- 2019
- [j5]Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Wenhong Li:
ManiDec: Manifold Constrained Low-Rank and Sparse Decomposition. IEEE Access 7: 112939-112952 (2019) - [j4]Xianchao Xiu, Wanquan Liu, Ling Li, Lingchen Kong:
Alternating direction method of multipliers for nonconvex fused regression problems. Comput. Stat. Data Anal. 136: 59-71 (2019) - [j3]Meijuan Shang, Yanan Liu, Lingchen Kong, Xianchao Xiu, Ying Yang:
Nonconvex mixed matrix minimization. Math. Found. Comput. 2(2): 107-126 (2019) - [c3]Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Hui Chen, Yuyao Xiao:
Bayesian Face Recognition Approach Based on Feature Fusion. ICNC-FSKD 2019: 37-45 - 2018
- [j2]Xianchao Xiu, Lingchen Kong, Yan Li, Houduo Qi:
Iterative reweighted methods for \(\ell _1-\ell _p\) minimization. Comput. Optim. Appl. 70(1): 201-219 (2018) - [j1]Jingjing Liu, Wanquan Liu, Shiwei Ma, Chong Lu, Xianchao Xiu, Chathurdara Sri Nadith Pathirage, Ling Li, Guanghua Chen, Weimin Zeng:
Face recognition based on manifold constrained joint sparse sensing with K-SVD. Multim. Tools Appl. 77(21): 28863-28883 (2018) - [c2]Yuqiu Lu, Jingjing Liu, Shiwei Ma, Xianchao Xiu, Wanquan Liu:
A Novel Detection Approach for Moving Object with Dynamic Background. ICNC-FSKD 2018: 356-361 - [c1]Yongsheng Wei, Yanyan Liu, Li Jia, Xianchao Xiu, Jingjing Liu:
Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity. ICNC-FSKD 2018: 624-630
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