Xianchao Xiu - RankMe

59 papers C 1Journal 54Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection. CoRR Xianchao Xiu, Chenyi Huang, Wei Zhang, Wanquan Liu
2026	J	`jnl`	Heaviside Low-Rank Support Matrix Machine. CoRR Xianchao Xiu, Shenghao Sun, Xinrong Li, Jiyuan Tao
2026	J	`jnl`	Multi-view clustering meets heterogeneous data: A fusion regularized method. Inf. Sci. Xiangru Xing, Yan Li, Xin Wang, Huangyue Chen, Xianchao Xiu
2026	J	`jnl`	Robust orthogonal NMF with label propagation for image clustering. Neural Networks Jingjing Liu, Nian Wu, Xianchao Xiu, Jianhua Zhang
2026	J	`jnl`	STAR-Net: an interpretable model-aided network for remote sensing image denoising. Pattern Recognit. Jingjing Liu, Jiashun Jin, Xianchao Xiu, Jianhua Zhang, Wanquan Liu
2025	J	`jnl`	Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing. CoRR Hui Chen, Liangyu Liu, Xianchao Xiu, Wanquan Liu
2025	J	`jnl`	Adaptive Multiorder Graph Regularized NMF With Dual Sparsity for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hui Chen, Liangyu Liu, Xianchao Xiu, Wanquan Liu
2025	J	`jnl`	Bi-Level Unsupervised Feature Selection. CoRR Jingjing Liu, Xiansen Ju, Xianchao Xiu, Wanquan Liu
2025	J	`jnl`	Data-Adaptive Transformed Bilateral Tensor Low-Rank Representation for Clustering. CoRR Hui Chen, Xinjie Wang, Xianchao Xiu, Wanquan Liu
2025	J	`jnl`	Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification. IEEE Trans. Emerg. Top. Comput. Intell. Jingjing Liu, Manlong Feng, Xianchao Xiu, Wanquan Liu, Xiaoyang Zeng
2025	J	`jnl`	Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization. CoRR Xianchao Xiu, Anning Yang, Chenyi Huang, Xinrong Li, Wanquan Liu
2025	J	`jnl`	Federated Structured Sparse PCA for Anomaly Detection in IoT Networks. CoRR Chenyi Huang, Xinrong Li, Xianchao Xiu
2025	J	`jnl`	GoPrune: Accelerated Structured Pruning with ℓ CoRR Li Xu, Xianchao Xiu
2025	J	`jnl`	Joint sparse subspace clustering via fast ℓ2,0-norm constrained optimization. Expert Syst. Appl. Yanjiao Zhu, Xianchao Xiu, Wanquan Liu, Chuancun Yin
2025	J	`jnl`	Lightweight Deep Unfolding Networks with Enhanced Robustness for Infrared Small Target Detection. CoRR Jingjing Liu, Yinchao Han, Xianchao Xiu, Jianhua Zhang, Wanquan Liu
2025	J	`jnl`	Optimal motion planning and navigation for nonholonomic agricultural robots in multi-constraint and multi-task environments. Comput. Electron. Agric. Wei Zhang, Teng Sun, Yunhui Li, Chuangxin He, Xianchao Xiu, Zhonghua Miao
2025	J	`jnl`	Robust Orthogonal NMF with Label Propagation for Image Clustering. CoRR Jingjing Liu, Nian Wu, Xianchao Xiu, Jianhua Zhang
2025	J	`jnl`	Robust and stochastic sparse subspace clustering. Neurocomputing Yanjiao Zhu, Xinrong Li, Xianchao Xiu, Wanquan Liu, Chuancun Yin
2025	J	`jnl`	STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising. CoRR Jingjing Liu, Jiashun Jin, Xianchao Xiu, Jianhua Zhang, Wanquan Liu
2025	J	`jnl`	Tensor Low-Rank Approximation via Plug-and-Play Priors for Anomaly Detection in Remote Sensing Images. IEEE Trans. Instrum. Meas. Jingjing Liu, Manlong Feng, Xianchao Xiu, Xiaoyang Zeng, Jianhua Zhang
2025	J	`jnl`	Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing. CoRR Hui Chen, Liangyu Liu, Xianchao Xiu, Wanquan Liu
2025	J	`jnl`	Tuning-Free Structured Sparse PCA via Deep Unfolding Networks. CoRR Long Chen, Xianchao Xiu
2024	J	`jnl`	A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics. IEEE Trans. Instrum. Meas. Xianchao Xiu, Yuhan Zhang, Yufei Guo, Xiaode Liu, Ying Yang
2024	J	`jnl`	Bi-Sparse Unsupervised Feature Selection. CoRR Xianchao Xiu, Chenyi Huang, Pan Shang, Wanquan Liu
2024	J	`jnl`	Distributed sparsity constrained optimization over the Stiefel manifold. Neurocomputing Wentao Qu, Huangyue Chen, Xianchao Xiu, Wanquan Liu
2024	J	`jnl`	Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection. IEEE Trans. Neural Networks Learn. Syst. Xianchao Xiu, Lili Pan, Ying Yang, Wanquan Liu
2024	J	`jnl`	Moving object detection in gigapixel-level videos using manifold sparse representation. Multim. Tools Appl. Jingjing Liu, Manlong Feng, Dongzhou Gu, Xiaoyang Zeng, Wanquan Liu, Xianchao Xiu
2024	J	`jnl`	Towards robust and sparse linear discriminant analysis for image classification. Pattern Recognit. Jingjing Liu, Manlong Feng, Xianchao Xiu, Wanquan Liu
2023	J	`jnl`	A Sparsity-Aware Fault Diagnosis Framework Focusing on Accurate Isolation. IEEE Trans. Ind. Informatics Xianchao Xiu, Zhonghua Miao, Wanquan Liu
2023	J	`jnl`	A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications. Stat. Anal. Data Min. Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong
2023	J	`jnl`	An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection. IEEE Signal Process. Lett. Huangyue Chen, Lingchen Kong, Wentao Qu, Xianchao Xiu
2023	J	`jnl`	An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications. J. Comput. Appl. Math. Wentao Qu, Xianchao Xiu, Haifei Zhang, Jun Fan
2023	J	`jnl`	Learning High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis. IEEE Trans. Circuits Syst. Video Technol. Jianqin Sun, Xianchao Xiu, Ziyan Luo, Wanquan Liu
2023	C	`conf`	Robust Transfer Subspace Learning: A Novel Data-Driven Scheme for Fault Diagnosis. SAFEPROCESS Fuchao Yu, Xianchao Xiu
2023	J	`jnl`	Structured Joint Sparse Orthogonal Nonnegative Matrix Factorization for Fault Detection. IEEE Trans. Instrum. Meas. Xi Zhang, Xianchao Xiu, Chao Zhang
2023	J	`jnl`	Toward Efficient Process Monitoring Using Spatiotemporal PCA. IEEE Trans. Circuits Syst. II Express Briefs Yunhui Li, Xianchao Xiu, Wanquan Liu
2022	J	`jnl`	A Data-Driven Modeling Method for Stochastic Nonlinear Degradation Process With Application to RUL Estimation. IEEE Trans. Syst. Man Cybern. Syst. Yuhan Zhang, Ying Yang, He Li, Xianchao Xiu, Wanquan Liu
2022	J	`jnl`	A Spatiotemporal Calibration Algorithm for IMU-LiDAR Navigation System Based on Similarity of Motion Trajectories. Sensors Yunhui Li, Shize Yang, Xianchao Xiu, Zhonghua Miao
2022	J	`jnl`	An Efficient Newton-Based Method for Sparse Generalized Canonical Correlation Analysis. IEEE Signal Process. Lett. Xinrong Li, Xianchao Xiu, Wanquan Liu, Zhonghua Miao
2022	J	`jnl`	Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization for Nonlinear Process Monitoring. IEEE Trans. Ind. Informatics Xianchao Xiu, Zhonghua Miao, Ying Yang, Wanquan Liu
2022	J	`jnl`	Efficient and Robust Process Monitoring Using Structured Low-Rank Representation. IEEE Trans. Circuits Syst. II Express Briefs Zhonghua Miao, Xianchao Xiu
2022	J	`jnl`	Fusion-UDCGAN: Multifocus Image Fusion via a U-Type Densely Connected Generation Adversarial Network. IEEE Trans. Instrum. Meas. Yuan Gao, Shiwei Ma, Jingjing Liu, Xianchao Xiu
2021	—	`conf`	A Data Driven RUL Prediction and Predictive Maintenance for Stochastic Degrading Systems. CAA SAFEPROCESS Yuhan Zhang, Xianchao Xiu, Ying Yang
2021	J	`jnl`	A Remaining Useful Life Prediction Method in the Early Stage of Stochastic Degradation Process. IEEE Trans. Circuits Syst. II Express Briefs Yuhan Zhang, Ying Yang, Xianchao Xiu, He Li, Ruijie Liu
2021	J	`jnl`	A novel scheme for multivariate statistical fault detection with application to the Tennessee Eastman process. Math. Found. Comput. Nana Xu, Jun Sun, Jingjing Liu, Xianchao Xiu
2021	J	`jnl`	Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis. IEEE Trans. Circuits Syst. II Express Briefs Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu
2021	J	`jnl`	Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization. IEEE Trans. Instrum. Meas. Xianchao Xiu, Jun Fan, Ying Yang, Wanquan Liu
2021	J	`jnl`	Manifold constrained joint sparse learning via non-convex regularization. Neurocomputing Jingjing Liu, Xianchao Xiu, Xin Jiang, Wanquan Liu, Xiaoyang Zeng, Mingyu Wang, Hui Chen
2020	J	`jnl`	Detecting moving objects from dynamic background combining subspace learning with mixed norm approach. Multim. Tools Appl. Yuqiu Lu, Jingjing Liu, Wang Liu, Shiwei Ma, Xianchao Xiu, Wanquan Liu, Hui Chen
2020	J	`jnl`	Manifold Constrained Low-Rank and Joint Sparse Learning for Dynamic Cardiac MRI. IEEE Access Qingmin Meng, Xianchao Xiu, Yan Li
2020	J	`jnl`	tSSNALM: A fast two-stage semi-smooth Newton augmented Lagrangian method for sparse CCA. Appl. Math. Comput. Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu
2019	J	`jnl`	Alternating direction method of multipliers for nonconvex fused regression problems. Comput. Stat. Data Anal. Xianchao Xiu, Wanquan Liu, Ling Li, Lingchen Kong
2019	—	`conf`	Bayesian Face Recognition Approach Based on Feature Fusion. ICNC-FSKD Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Hui Chen, Yuyao Xiao
2019	J	`jnl`	ManiDec: Manifold Constrained Low-Rank and Sparse Decomposition. IEEE Access Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Wenhong Li
2019	J	`jnl`	Nonconvex mixed matrix minimization. Math. Found. Comput. Meijuan Shang, Yanan Liu, Lingchen Kong, Xianchao Xiu, Ying Yang
2018	—	`conf`	A Novel Detection Approach for Moving Object with Dynamic Background. ICNC-FSKD Yuqiu Lu, Jingjing Liu, Shiwei Ma, Xianchao Xiu, Wanquan Liu
2018	J	`jnl`	Face recognition based on manifold constrained joint sparse sensing with K-SVD. Multim. Tools Appl. Jingjing Liu, Wanquan Liu, Shiwei Ma, Chong Lu, Xianchao Xiu, Chathurdara Sri Nadith Pathirage, Ling Li, Guanghua Chen, Weimin Zeng
2018	—	`conf`	Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity. ICNC-FSKD Yongsheng Wei, Yanyan Liu, Li Jia, Xianchao Xiu, Jingjing Liu
2018	J	`jnl`	Iterative reweighted methods for $\ell _1-\ell _p$ minimization. Comput. Optim. Appl. Xianchao Xiu, Lingchen Kong, Yan Li, Houduo Qi