The EM algorithm for the extended finite mixture of the factor analyzers model. - Xingcai Zhou; Xinsheng Liu (Comput. Stat. Data Anal., 2008)

The Monte Carlo EM method for estimating multinomial probit latent variable models. - Xingcai Zhou; Xinsheng Liu (Comput. Stat., 2008)

Maximum likelihood estimation of multinomial probit factor analysis models for multivariate t-distribution. - Jie Jiang; Xinsheng Liu; Keming Yu (Comput. Stat., 2013)

Encoding and decoding neural population signals for two attributes of a stimulus. - Zhe Xing; Xinsheng Liu; Wanlin Guo (ICNC, 2014)

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China. - Guiwu Su; Wenhua Qi; Suling Zhang; Timothy Sim; Xinsheng Liu; Rui Sun 003; Lei Sun; Yifan Jin (Remote. Sens., 2015)

Swamping and masking in Markov boundary discovery. - Xuqing Liu; Xinsheng Liu (Mach. Learn., 2016)

Classification Bayesian models of orientation identification with the known reference. - Renyu Ye; Xinsheng Liu (CISP-BMEI, 2017)

Fibrations理论在索引归纳数据类型不确定语义中的应用 (Applications of Fibrations Theory to Uncertainty Semantic Computation for Indexed Inductive Data Types). - Decheng Miao; Jianqing Xi; Xinsheng Liu; Jindian Su (计算机科学, 2017)

Encoding and Decoding Neural Population Signals for Two-Dimensional Stimulus. - Xinsheng Liu; Zhe Xing; Wanlin Guo (Neural Process. Lett., 2017)

Research on Java Compiling System for Embedded Systems. - Haikun Teng; Xinsheng Liu; Shiying Wang; Xiao-Guang Yue (ISBDAI, 2018)

Research and Application of the IOT Gateway Based on the Real-Time Specification for Java. - Haikun Teng; Xinsheng Liu; Haitao Lv; Xiaoguang Yue (Int. J. Online Eng., 2018)

Bayesian inference for variability discrimination on partial sameness. - Zhicheng Chen; Xinsheng Liu (Neurocomputing, 2019)

Global Mittag-Leffler Synchronization for Fractional-Order BAM Neural Networks with Impulses and Multiple Variable Delays via Delayed-Feedback Control Strategy. - Renyu Ye; Xinsheng Liu; Hai Zhang 002; Jinde Cao (Neural Process. Lett., 2019)

Pointwise wavelet change-points estimation for dependent biased sample. - Yuncai Yu; Xinsheng Liu (J. Comput. Appl. Math., 2020)

Fixed Point Theorems Applied in Uncertain Fractional Differential Equation with Jump. - Zhifu Jia; Xinsheng Liu; Cunlin Li (Symmetry, 2020)

The Consistency of Estimators in a Heteroscedastic Partially Linear Model with ρ–Mixing Errors. - Yu Zhang 103; Xinsheng Liu (Symmetry, 2020)

The effects of eye movements on the visual cortical responding variability based on a spiking network. - Weisi Liu; Xinsheng Liu (Neurocomputing, 2021)

Wavelet change-point estimation for the density based on biased sample. - Yuncai Yu; Xinsheng Liu (J. Comput. Appl. Math., 2021)

Complex uncertain differential equations with application to time integral. - Zhifu Jia; Xinsheng Liu (J. Intell. Fuzzy Syst., 2021)

New stability theorem for uncertain pantograph differential equations. - Zhifu Jia; Xinsheng Liu; Yu Zhang 103 (J. Intell. Fuzzy Syst., 2021)

Depth Perception With Interocular Blur Differences Based on a Spiking Network. - Weisi Liu; Xinsheng Liu (IEEE Access, 2022)

New sufficient conditions for p-th moment stability of uncertain delay differential equation. - Zhifu Jia; Xinsheng Liu (J. Intell. Fuzzy Syst., 2022)

A Novel Neural Metric Based on Deep Boltzmann Machine. - Chen Yang; Xinsheng Liu (Neural Process. Lett., 2022)

On the complete convergence for uncertain random variables. - Yuncai Yu; Xinsheng Liu; Yu Zhang 103; Zhifu Jia (Soft Comput., 2022)

Almost sure convergence for the maxima and minima of strongly dependent nonstationary multivariate Gaussian sequences. - Zhicheng Chen; Hongyun Zhang; Xinsheng Liu (Math. Found. Comput., 2023)

Pre-stimulus network responses affect information coding in neural variability quenching. - Weisi Liu; Xinsheng Liu (Neurocomputing, 2023)

Optimal control of multifactor uncertain system with jumps. - Zhifu Jia; Xinsheng Liu (Int. J. Control, 2023)

Constant-Stress Modeling of Log-Normal Data under Progressive Type-I Interval Censoring: Maximum Likelihood and Bayesian Estimation Approaches. - Mohamed Sief; Xinsheng Liu; Mona Hosny; Abd El-Raheem M. Abd El-Raheem (Axioms, 2023)

Uncertain Stochastic Hybrid Age-Dependent Population Equation Based on Subadditive Measure: Existence, Uniqueness and Exponential Stability. - Zhifu Jia; Xinsheng Liu (Symmetry, 2023)

FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering. - Wenjun Yang; Yiqing Shen 003; Zehong Wang; Rui Zhao; Qitong Lu; Xinsheng Liu; Yungeng Liu; Mérouane Debbah; Yu Guang Wang; Shir Li Wang (BIBM, 2024)

Inference for a constant-stress model under progressive type-II censored data from the truncated normal distribution. - Mohamed Sief; Xinsheng Liu; Abd El-Raheem Mohamed Abd El-Raheem (Comput. Stat., 2024)

Sparsified-Learning for Heavy-Tailed Locally Stationary Processes. - Yingjie Wang; Mokhtar Z. Alaya; Salim Bouzebda; Xinsheng Liu (CoRR, 2025)