Publications

X. Xiu, L. Xu, Y. Zhu, W. Liu, Review of Compression Methods for Vision-Language-Action Models (in Chinese), submitted to Acta Automatica Sinica
X. Xiu, C. Shen, Y. Zhu, W. Liu, A Survey of Large Language Models for Vehicle Routing Problems (in Chinese), submitted to Control Theory and Applications
X. Xiu, C. He, W. Qu, J. Sun, A Survey of Deep Unfolding Methods for Image Compressive Sensing (in Chinese), Operations Research Transactions, 2026

J. Liu, X. Ju, X. Xiu, W. Liu, Bi-Level Unsupervised Feature Selection with L2,0-Norm, Pattern Recognition, 181: 114687, 2027 [Code]

X. Xiu, C. Huang, W. Zhang, W. Liu, Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection, IEEE Internet of Things Journal, 13(16): 37252-37262, 2026 [Code]
J. Fan, A. Yan, X. Xiu, W. Liu, Robust Sparse Phase Retrieval: Statistical Guarantee, Optimality Theory and Convergent Algorithm, Inverse Problems, 42: 045014, 2026 [Code]
Y. Zhu, W. Liu, X. Xiu, J. Sun, Sparse Tensor CCA via Manifold Optimization for Multi-View Learning, IEEE Transactions on Circuits and Systems for Video Technology, 36(5): 6299-6313, 2026 [Code]
J. Liu, J. Jin, X. Xiu, J. Zhang, W. Liu, STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising, Pattern Recognition, 172: 112496, 2026 [Code]
X. Li, C. Huang, A. Yang, X. Xiu, Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization, Knowledge-Based Systems, 352: 116924, 2026 [Code]

X. Xiu, C. Huang, P. Shang, W. Liu, Bi-Sparse Unsupervised Feature Selection, IEEE Transactions on Image Processing, 34: 7407-7421, 2025 [Code]
J. Liu, M. Feng, X. Xiu, X. Zeng, J. Zhang, Tensor Low-Rank Approximation via Plug-and-Play Priors for Anomaly Detection in Remote Sensing Images, IEEE Transactions on Instrumentation and Measurement, 74: 5503014, 2025 [Code]
H. Chen, L. Liu, X. Xiu, W. Liu, Adaptive Multiorder Graph Regularized NMF With Dual Sparsity for Hyperspectral Unmixing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18: 22121-22136, 2025 [Code]

X. Xiu, L. Pan, Y. Yang, W. Liu, Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection, IEEE Transactions on Neural Networks and Learning Systems, 35(3): 4153-4163, 2024 [Code]
X. Xiu, Y. Zhang, Y. Guo, X. Liu, Y. Yang, A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics, IEEE Transactions on Instrumentation and Measurement, 73: 3513710, 2024 [Code]
J. Liu, M. Feng, X. Xiu, W. Liu, Towards Robust and Sparse Linear Discriminant Analysis for Image Classification, Pattern Recognition, 153: 110512, 2024 [Code]

X. Xiu, Z. Miao, W. Liu, A Sparsity-Aware Fault Diagnosis Framework Focusing on Accurate Isolation, IEEE Transactions on Industrial Informatics, 19(2): 1356-1365, 2023
X. Xiu, Z. Miao, Y. Yang, W. Liu, Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization for Nonlinear Process Monitoring, IEEE Transactions on Industrial Informatics, 18(10): 6690-6699, 2022
X. Xiu, J. Fan, Y. Yang, W. Liu, Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization, IEEE Transactions on Instrumentation and Measurement, 70: 3513011, 2021
X. Xiu, Y. Yang, L. Kong, W. Liu, Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis, IEEE Transactions on Circuits and Systems II: Express Briefs, 68(1): 361-365, 2021
X. Xiu, Y. Yang, L. Kong, W. Liu, Laplacian Regularized Robust Principal Component Analysis for Process Monitoring, Journal of Process Control, 92: 212-219, 2020
X. Xiu, Y. Yang, L. Kong, W. Liu, tSSNALM: A Fast Two-Stage Semi-Smooth Newton Augmented Lagrangian Method for Sparse CCA, Applied Mathematics and Computation, 383: 125272, 2020
X. Xiu, W. Liu, L. Li, L. Kong, Alternating Direction Method of Multipliers for Nonconvex Fused Regression Problems, Computational Statistics & Data Analysis, 136: 59-71, 2019
X. Xiu, L. Kong, Y. Li, H. Qi, Iterative Reweighted Methods for L1-Lp Minimization, Computational Optimization and Applications, 70(1): 201-219, 2018

H. Chen, X. Wang, X. Xiu, W. Liu, Rethinking low-rank representation with deep semi-smooth Newton, PRCV, 2026 [Code]
C. Huang, L. Xu, X. Xiu, GAP: Gradient-guided adaptive pruning for large language models, PRCV, 2026 [Code]