A Novel Detection Approach for Moving Object with Dynamic Background. - Yuqiu Lu; Jingjing Liu 004; Shiwei Ma; Xianchao Xiu; Wanquan Liu (ICNC-FSKD, 2018)

Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity. - Yongsheng Wei; Yanyan Liu; Li Jia 002; Xianchao Xiu; Jingjing Liu 004 (ICNC-FSKD, 2018)

Iterative reweighted methods for ( ell _1- ell _p ) minimization. - Xianchao Xiu; Lingchen Kong; Yan Li; Houduo Qi (Comput. Optim. Appl., 2018)

Face recognition based on manifold constrained joint sparse sensing with K-SVD. - Jingjing Liu 004; Wanquan Liu; Shiwei Ma; Chong Lu; Xianchao Xiu; Chathurdara Sri Nadith Pathirage; Ling Li 006; Guanghua Chen; Weimin Zeng (Multim. Tools Appl., 2018)

Bayesian Face Recognition Approach Based on Feature Fusion. - Jingjing Liu 004; Donghui He; Xiaoyang Zeng; Mingyu Wang 001; Xianchao Xiu; Wanquan Liu; Hui Chen 007; Yuyao Xiao (ICNC-FSKD, 2019)

ManiDec: Manifold Constrained Low-Rank and Sparse Decomposition. - Jingjing Liu 004; Donghui He; Xiaoyang Zeng; Mingyu Wang 001; Xianchao Xiu; Wanquan Liu; Wenhong Li (IEEE Access, 2019)

Alternating direction method of multipliers for nonconvex fused regression problems. - Xianchao Xiu; Wanquan Liu; Ling Li 006; Lingchen Kong (Comput. Stat. Data Anal., 2019)

Nonconvex mixed matrix minimization. - Meijuan Shang; Yanan Liu; Lingchen Kong; Xianchao Xiu; Ying Yang 002 (Math. Found. Comput., 2019)

Manifold Constrained Low-Rank and Joint Sparse Learning for Dynamic Cardiac MRI. - Qingmin Meng; Xianchao Xiu; Yan Li (IEEE Access, 2020)

tSSNALM: A fast two-stage semi-smooth Newton augmented Lagrangian method for sparse CCA. - Xianchao Xiu; Ying Yang 002; Lingchen Kong; Wanquan Liu (Appl. Math. Comput., 2020)

Detecting moving objects from dynamic background combining subspace learning with mixed norm approach. - Yuqiu Lu; Jingjing Liu 004; Wang Liu; Shiwei Ma; Xianchao Xiu; Wanquan Liu; Hui Chen 007 (Multim. Tools Appl., 2020)

A Data Driven RUL Prediction and Predictive Maintenance for Stochastic Degrading Systems. - Yuhan Zhang; Xianchao Xiu; Ying Yang 002 (CAA SAFEPROCESS, 2021)

Manifold constrained joint sparse learning via non-convex regularization. - Jingjing Liu 004; Xianchao Xiu; Xin Jiang; Wanquan Liu; Xiaoyang Zeng; Mingyu Wang 001; Hui Chen 007 (Neurocomputing, 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)

Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis. - Xianchao Xiu; Ying Yang 002; Lingchen Kong; Wanquan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Remaining Useful Life Prediction Method in the Early Stage of Stochastic Degradation Process. - Yuhan Zhang; Ying Yang 002; Xianchao Xiu; He Li; Ruijie Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization. - Xianchao Xiu; Jun Fan; Ying Yang 002; Wanquan Liu (IEEE Trans. Instrum. Meas., 2021)

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)

An Efficient Newton-Based Method for Sparse Generalized Canonical Correlation Analysis. - Xinrong Li; Xianchao Xiu; Wanquan Liu; Zhonghua Miao (IEEE Signal Process. Lett., 2022)

Efficient and Robust Process Monitoring Using Structured Low-Rank Representation. - Zhonghua Miao; Xianchao Xiu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization for Nonlinear Process Monitoring. - Xianchao Xiu; Zhonghua Miao; Ying Yang 002; Wanquan Liu (IEEE Trans. Ind. Informatics, 2022)

Fusion-UDCGAN: Multifocus Image Fusion via a U-Type Densely Connected Generation Adversarial Network. - Yuan Gao; Shiwei Ma; Jingjing Liu 004; Xianchao Xiu (IEEE Trans. Instrum. Meas., 2022)

A Data-Driven Modeling Method for Stochastic Nonlinear Degradation Process With Application to RUL Estimation. - Yuhan Zhang; Ying Yang 002; He Li; Xianchao Xiu; Wanquan Liu (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Robust Transfer Subspace Learning: A Novel Data-Driven Scheme for Fault Diagnosis. - Fuchao Yu; Xianchao Xiu (SAFEPROCESS, 2023)

An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection. - Huangyue Chen; Lingchen Kong; Wentao Qu; Xianchao Xiu (IEEE Signal Process. Lett., 2023)

A Sparsity-Aware Fault Diagnosis Framework Focusing on Accurate Isolation. - Xianchao Xiu; Zhonghua Miao; Wanquan Liu (IEEE Trans. Ind. Informatics, 2023)

Structured Joint Sparse Orthogonal Nonnegative Matrix Factorization for Fault Detection. - Xi Zhang; Xianchao Xiu; Chao Zhang 056 (IEEE Trans. Instrum. Meas., 2023)

Toward Efficient Process Monitoring Using Spatiotemporal PCA. - Yunhui Li; Xianchao Xiu; Wanquan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 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., 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., 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., 2023)

Bi-Sparse Unsupervised Feature Selection. - Xianchao Xiu; Chenyi Huang; Pan Shang; Wanquan Liu (CoRR, 2024)

Distributed sparsity constrained optimization over the Stiefel manifold. - Wentao Qu; Huangyue Chen; Xianchao Xiu; Wanquan Liu (Neurocomputing, 2024)

Towards robust and sparse linear discriminant analysis for image classification. - Jingjing Liu 004; Manlong Feng; Xianchao Xiu; Wanquan Liu (Pattern Recognit., 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 002 (IEEE Trans. Instrum. Meas., 2024)

Moving object detection in gigapixel-level videos using manifold sparse representation. - Jingjing Liu 004; Manlong Feng; Dongzhou Gu; Xiaoyang Zeng; Wanquan Liu; Xianchao Xiu (Multim. Tools Appl., 2024)

Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection. - Xianchao Xiu; Lili Pan 003; Ying Yang 002; Wanquan Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Optimal motion planning and navigation for nonholonomic agricultural robots in multi-constraint and multi-task environments. - Wei Zhang 184; Teng Sun; Yunhui Li; Chuangxin He; Xianchao Xiu; Zhonghua Miao (Comput. Electron. Agric., 2025)

Joint sparse subspace clustering via fast ℓ2,0-norm constrained optimization. - Yanjiao Zhu; Xianchao Xiu; Wanquan Liu; Chuancun Yin (Expert Syst. Appl., 2025)

Robust and stochastic sparse subspace clustering. - Yanjiao Zhu; Xinrong Li; Xianchao Xiu; Wanquan Liu; Chuancun Yin (Neurocomputing, 2025)

Tensor Low-Rank Approximation via Plug-and-Play Priors for Anomaly Detection in Remote Sensing Images. - Jingjing Liu 004; Manlong Feng; Xianchao Xiu; Xiaoyang Zeng; Jianhua Zhang (IEEE Trans. Instrum. Meas., 2025)

Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization. - Xianchao Xiu; Anning Yang; Chenyi Huang; Xinrong Li; Wanquan Liu (CoRR, 2025)

Tuning-Free Structured Sparse PCA via Deep Unfolding Networks. - Long Chen; Xianchao Xiu (CoRR, 2025)

Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification. - Jingjing Liu 004; Manlong Feng; Xianchao Xiu; Wanquan Liu; Xiaoyang Zeng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing. - Hui Chen 007; Liangyu Liu; Xianchao Xiu; Wanquan Liu (CoRR, 2025)

Federated Structured Sparse PCA for Anomaly Detection in IoT Networks. - Chenyi Huang; Xinrong Li; Xianchao Xiu (CoRR, 2025)

LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It. - Jianhao Li; Xianchao Xiu (CoRR, 2025)

Robust Orthogonal NMF with Label Propagation for Image Clustering. - Jingjing Liu; Nian Wu; Xianchao Xiu; Jianhua Zhang (CoRR, 2025)

Bi-Level Unsupervised Feature Selection. - Jingjing Liu 004; Xiansen Ju; Xianchao Xiu; Wanquan Liu (CoRR, 2025)

STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising. - Jingjing Liu 004; Jiashun Jin; Xianchao Xiu; Jianhua Zhang; Wanquan Liu (CoRR, 2025)