Robust decentralized stabilization for large-scale systems with multiple time-varying delays and nonlinear uncertainties. - Xiaozhi Liu; Georgi M. Dimirovski; Yuanwei Jing; Siying Zhang (CCA, 2003)

Decentralized Output-Feedback Guaranteed Cost Control of Uncertain Interconnected Time-Delay System. - Xiaobo Chen; Xiaozhi Liu; Shukai Qin; Yinghua Yang (ISDA (1), 2006)

Decentralized Guaranteed Cost Control for Uncertain Systems with Multiple Time Delays. - Xiaozhi Liu; Yinghua Yang; Shukai Qin; Xiaobo Chen (CCA, 2007)

Wavelet kernel entropy component analysis with application to industrial process monitoring. - Yinghua Yang; Xiaole Li; Xiaozhi Liu; Xiaobo Chen (Neurocomputing, 2015)

Autonomous network-based integration architecture for multi-agent systems under dynamic and heterogeneous environment. - Hujun Li; Xiaozhi Liu; Yi Wan (Autom. Control. Comput. Sci., 2016)

A Novel Decentralized Weighted ReliefF-PCA Method for Fault Detection. - Yinghua Yang; Xiangming Chen; Yue Zhang 032; Xiaozhi Liu (IEEE Access, 2019)

Incipient Fault Detection Method Based on Stream Data Projection Transformation Analysis. - Yinghua Yang; Yongkang Pan; Liping Zhang; Xiaozhi Liu (IEEE Access, 2019)

A Novel Process Monitoring Method Based on Dynamic Related ReliefF-SFA Method. - Xiaozhi Liu; Yue Zhang 032; Liping Zhang; Yinghua Yang (IEEE Access, 2020)

A novel MDFA-MKECA method with application to industrial batch process monitoring. - Yinghua Yang; Xiang Shi; Xiaozhi Liu; Hongru Li (IEEE CAA J. Autom. Sinica, 2020)

A Novel Echo State Network and Its Application in Temperature Prediction of Exhaust Gas From Hot Blast Stove. - Yinghua Yang; Xin Zhao; Xiaozhi Liu (IEEE Trans. Instrum. Meas., 2020)

Remaining Useful Life Prognostics of Bearings Based on a Novel Spatial Graph-Temporal Convolution Network. - Peihong Li; Xiaozhi Liu; Yinghua Yang (Sensors, 2021)

An Industrial Process Monitoring Method Based on Entropy Projection Transformation Analysis. - Yinghua Yang; Qingyan Kong; Zhipeng Chao; Peihong Li; Xiaozhi Liu (IEEE Trans. Instrum. Meas., 2022)

A Unified Algorithmic Framework for Dynamic Compressive Sensing. - Xiaozhi Liu; Yong Xia (CoRR, 2023)

Spatiotemporal Graph Attention Network for Soft Sensor Modeling of Suspended Magnetization Roasting Process. - Yinghua Yang; Yu Jia; Huiyue Yu; Xiaozhi Liu (IEEE Trans. Instrum. Meas., 2024)

A unified algorithmic framework for dynamic compressive sensing. - Xiaozhi Liu; Yong Xia 002 (Signal Process., 2025)

Cubic NK-SVD: An algorithm for designing parametric dictionary in frequency estimation. - Xiaozhi Liu; Yong Xia 002 (Signal Process., 2025)

Difference vs. Quotient: A Novel Algorithm for Dominant Eigenvalue Problem. - Xiaozhi Liu; Yong Xia (CoRR, 2025)

A deep learning approach to evaluate the quality of graph layouts using GNN. - Xiangyang Wu 001; Qian Li; Xiaodong Pan; Xiaozhi Liu; Zhen Liu (J. Vis., 2025)