Decomposition Based Newton Iterative Identification Method for a Hammerstein Nonlinear FIR System with ARMA Noise. - Feng Ding 001; Kepo Deng; Ximei Liu (Circuits Syst. Signal Process., 2014)

Hierarchical gradient based and hierarchical least squares based iterative parameter identification for CARARMA systems. - Feng Ding 001; Ximei Liu; Huibo Chen; Guoyu Yao (Signal Process., 2014)

Unified Synchronization Criteria for Hybrid Switching-Impulsive Dynamical Networks. - Yan Ji; Ximei Liu (Circuits Syst. Signal Process., 2015)

Denoising hyperspectral images with non-white noise based on tensor decomposition. - Xuefeng Liu; Yuping Feng; Yingge Li; Ximei Liu; Wencang Zhao; Min Fu (DSP, 2016)

Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition. - Feng Ding 001; Ximei Liu; Xingyun Ma (J. Comput. Appl. Math., 2016)

An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering. - Feng Ding 001; Ximei Liu; Ya Gu (J. Frankl. Inst., 2016)

The recursive least squares identification algorithm for a class of Wiener nonlinear systems. - Feng Ding 001; Ximei Liu; Man-man Liu (J. Frankl. Inst., 2016)

The Gradient-Based Iterative Estimation Algorithms for Bilinear Systems with Autoregressive Noise. - Meihang Li; Ximei Liu; Feng Ding 001 (Circuits Syst. Signal Process., 2017)

The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise. - Meihang Li; Ximei Liu; Feng Ding 001 (J. Frankl. Inst., 2017)

A Risk Measurement by Using Mean-Variance-Kurtosis Hybrid Multi-Objective Portfolio Optimization Model. - Ximei Liu; Zahid Latif; Yuan Lv (CSCWD, 2018)

Auxiliary Model Based Least Squares Iterative Algorithms for Parameter Estimation of Bilinear Systems Using Interval-Varying Measurements. - Meihang Li; Ximei Liu (IEEE Access, 2018)

Location-Fair Beamforming for High Speed Railway Communication Systems. - Ximei Liu; Deli Qiao (IEEE Access, 2018)

Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise. - Meihang Li; Ximei Liu; Feng Ding 001 (Circuits Syst. Signal Process., 2018)

Shift in the Regional Balance of Power From Europe to Asia: A Case Study of ICT Industry. - Jin Hua; Zahid Latif; Tiyan Shen; Zulfiqar Hussain Pathan; Muhammad Zahid Tunio; Shafaq Salam; Ximei Liu (J. Inf. Process. Syst., 2018)

The least squares based iterative algorithms for parameter estimation of a bilinear system with autoregressive noise using the data filtering technique. - Meihang Li; Ximei Liu (Signal Process., 2018)

The dynamics of ICT, foreign direct investment, globalization and economic growth: Panel estimation robust to heterogeneity and cross-sectional dependence. - Zahid Latif; Mengke Yang; Danish; Shahid Latif; Ximei Liu; Zulfiqar Hussain Pathan; Shafaq Salam; Jianqiu Zeng (Telematics Informatics, 2018)

Design and Coverage Analysis of Elliptical Cell Based Beamforming for HSR Communication Systems. - Ximei Liu; Deli Qiao (ICC, 2019)

Mean-VaR Portfolio: An Empirical Analysis of Price Forecasting of the Shanghai and Shenzhen Stock Markets. - Ximei Liu; Zahid Latif; Daoqi Xiong; Sehrish Khan Saddozai; Kaif Ul Wara (J. Inf. Process. Syst., 2019)

Space-Time Block Coding-Based Beamforming for Beam Squint Compensation. - Ximei Liu; Deli Qiao (IEEE Wirel. Commun. Lett., 2019)

Tabu Search Algorithm for the Bike Sharing Rebalancing Problem. - Lijun Pan; Ximei Liu; Yangkun Xia; Lining Xing 001 (IEEE Access, 2020)

Effect of Stirring on the Defect-Free Filling of Deep Through-Silicon Vias. - Feng Wang; Ximei Liu; Jinzhi Liu (IEEE Access, 2020)

Hierarchical least squares identification for feedback nonlinear equation-error systems. - Feng Ding 001; Ximei Liu; Tasawar Hayat (J. Frankl. Inst., 2020)

Application Research of Asset Allocation Model in Performance Analysis of China's Oil Industry. - Ximei Liu; Daoqi Xiong; Zahid Latif; Yuting Hong; Yang Lu (AIAM (ACM), 2021)

Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics. - Yamin Fan; Ximei Liu (J. Frankl. Inst., 2021)

The Nexus among Globalization, ICT and EconomicGrowth: An Empirical Analysis. - Ximei Liu; Zahid Latif; Daoqi Xiong; Mengke Yang; Shahid Latif; Kaif Ul Wara (J. Inf. Process. Syst., 2021)

3D Printing of PEDOT: PSS-PU-PAA Hydrogels with Excellent Mechanical and Electrical Performance for EMG Electrodes. - Hude Ma; Jingdan Hou; Wenhui Xiong; Zhilin Zhang; Fucheng Wang; Jie Cao; Peng Jiang; Hanjun Yang; Ximei Liu; Jingkun Xu (ICIRA (2), 2022)

ICT and Renewable Energy: A Novel Concept for Big Data Storage Centers. - Ximei Liu; Zahid Latif; Funiu Cui; Xiangzhi Guo; Shahid Latif; Daoqi Xiong (CECNet, 2023)

Auxiliary model-based maximum likelihood multi-innovation recursive least squares identification for multiple-input multiple-output systems. - Huihui Wang; Qian Zhang; Ximei Liu (J. Frankl. Inst., 2024)

Highly efficient maximum-likelihood identification methods for bilinear systems with colored noises. - Meihang Li; Ximei Liu; Yamin Fan; Feng Ding (J. Syst. Control. Eng., 2024)

Data Filtering-Based Maximum Likelihood Gradient-Based Iterative Algorithm for Input Nonlinear Box-Jenkins Systems with Saturation Nonlinearity. - Yamin Fan; Ximei Liu; Meihang Li (Circuits Syst. Signal Process., 2024)

Auxiliary model maximum likelihood least squares-based iterative algorithm for multivariable autoregressive output-error autoregressive moving average systems. - Qian Zhang; Huihui Wang; Ximei Liu (J. Syst. Control. Eng., 2025)

Hierarchical Newton iterative identification methods for a class of input multi-piecewise Hammerstein models with autoregressive noise. - Yamin Fan; Ximei Liu; Meihang Li (Math. Comput. Simul., 2025)

Highly efficient three-stage maximum likelihood recursive least squares identification method for multiple-input multiple-output systems. - Huihui Wang; Ximei Liu (Syst. Control. Lett., 2025)

Highly Efficient Two-Stage Filtering-Based Maximum Likelihood Stochastic Gradient Algorithm for Multiple-Input Multiple-Output Systems. - Huihui Wang; Ximei Liu (Circuits Syst. Signal Process., 2025)