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Xinsheng Liu
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2020 – today
- 2024
- [j27]Mohamed Sief, Xinsheng Liu, Abd El-Raheem Mohamed Abd El-Raheem:
Inference for a constant-stress model under progressive type-II censored data from the truncated normal distribution. Comput. Stat. 39(5): 2791-2820 (2024) - 2023
- [j26]Mohamed Sief, Xinsheng Liu, Mona Hosny, A. M. Abd El-Raheem:
Constant-Stress Modeling of Log-Normal Data under Progressive Type-I Interval Censoring: Maximum Likelihood and Bayesian Estimation Approaches. Axioms 12(7): 710 (2023) - [j25]Zhifu Jia, Xinsheng Liu:
Optimal control of multifactor uncertain system with jumps. Int. J. Control 96(5): 1272-1287 (2023) - [j24]Weisi Liu, Xinsheng Liu:
Pre-stimulus network responses affect information coding in neural variability quenching. Neurocomputing 531: 1-20 (2023) - [j23]Zhicheng Chen, Hongyun Zhang, Xinsheng Liu:
Almost sure convergence for the maxima and minima of strongly dependent nonstationary multivariate Gaussian sequences. Math. Found. Comput. 6(4): 728-741 (2023) - [j22]Zhifu Jia, Xinsheng Liu:
Uncertain Stochastic Hybrid Age-Dependent Population Equation Based on Subadditive Measure: Existence, Uniqueness and Exponential Stability. Symmetry 15(8): 1512 (2023) - 2022
- [j21]Weisi Liu, Xinsheng Liu:
Depth Perception With Interocular Blur Differences Based on a Spiking Network. IEEE Access 10: 11957-11978 (2022) - [j20]Zhifu Jia, Xinsheng Liu:
New sufficient conditions for p-th moment stability of uncertain delay differential equation. J. Intell. Fuzzy Syst. 43(1): 451-461 (2022) - [j19]Chen Yang, Xinsheng Liu:
A Novel Neural Metric Based on Deep Boltzmann Machine. Neural Process. Lett. 54(5): 4325-4340 (2022) - [j18]Yuncai Yu, Xinsheng Liu, Yu Zhang, Zhifu Jia:
On the complete convergence for uncertain random variables. Soft Comput. 26(3): 1025-1031 (2022) - 2021
- [j17]Weisi Liu, Xinsheng Liu:
The effects of eye movements on the visual cortical responding variability based on a spiking network. Neurocomputing 436: 58-73 (2021) - [j16]Yuncai Yu, Xinsheng Liu:
Wavelet change-point estimation for the density based on biased sample. J. Comput. Appl. Math. 391: 113448 (2021) - [j15]Zhifu Jia, Xinsheng Liu, Yu Zhang:
New stability theorem for uncertain pantograph differential equations. J. Intell. Fuzzy Syst. 40(5): 9403-9411 (2021) - [j14]Zhifu Jia, Xinsheng Liu:
Complex uncertain differential equations with application to time integral. J. Intell. Fuzzy Syst. 41(1): 2275-2289 (2021) - 2020
- [j13]Yuncai Yu, Xinsheng Liu:
Pointwise wavelet change-points estimation for dependent biased sample. J. Comput. Appl. Math. 380: 112986 (2020) - [j12]Zhifu Jia, Xinsheng Liu, Cunlin Li:
Fixed Point Theorems Applied in Uncertain Fractional Differential Equation with Jump. Symmetry 12(5): 765 (2020) - [j11]Yu Zhang, Xinsheng Liu:
The Consistency of Estimators in a Heteroscedastic Partially Linear Model with ρ--Mixing Errors. Symmetry 12(7): 1188 (2020)
2010 – 2019
- 2019
- [j10]Zhicheng Chen, Xinsheng Liu:
Bayesian inference for variability discrimination on partial sameness. Neurocomputing 359: 163-172 (2019) - [j9]Renyu Ye, Xinsheng Liu, Hai Zhang, Jinde Cao:
Global Mittag-Leffler Synchronization for Fractional-Order BAM Neural Networks with Impulses and Multiple Variable Delays via Delayed-Feedback Control Strategy. Neural Process. Lett. 49(1): 1-18 (2019) - 2018
- [j8]Haikun Teng, Xinsheng Liu, Haitao Lv, Xiaoguang Yue:
Research and Application of the IOT Gateway Based on the Real-Time Specification for Java. Int. J. Online Eng. 14(3): 129-141 (2018) - [c3]Haikun Teng, Xinsheng Liu, Shiying Wang, Xiao-Guang Yue:
Research on Java Compiling System for Embedded Systems. ISBDAI 2018: 342-345 - 2017
- [j7]Decheng Miao, Jianqing Xi, Xinsheng Liu, Jindian Su:
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). 计算机科学 44(7): 137-140 (2017) - [j6]Xinsheng Liu, Zhe Xing, Wanlin Guo:
Encoding and Decoding Neural Population Signals for Two-Dimensional Stimulus. Neural Process. Lett. 46(2): 549-559 (2017) - [c2]Renyu Ye, Xinsheng Liu:
Classification Bayesian models of orientation identification with the known reference. CISP-BMEI 2017: 1-6 - 2016
- [j5]Xuqing Liu, Xinsheng Liu:
Swamping and masking in Markov boundary discovery. Mach. Learn. 104(1): 25-54 (2016) - 2015
- [j4]Guiwu Su, Wenhua Qi, Suling Zhang, Timothy Sim, Xinsheng Liu, Rui Sun, Lei Sun, Yifan Jin:
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. Remote. Sens. 7(3): 2543-2601 (2015) - 2014
- [c1]Zhe Xing, Xinsheng Liu, Wanlin Guo:
Encoding and decoding neural population signals for two attributes of a stimulus. ICNC 2014: 425-429 - 2013
- [j3]Jie Jiang, Xinsheng Liu, Keming Yu:
Maximum likelihood estimation of multinomial probit factor analysis models for multivariate t-distribution. Comput. Stat. 28(4): 1485-1500 (2013)
2000 – 2009
- 2008
- [j2]Xingcai Zhou, Xinsheng Liu:
The EM algorithm for the extended finite mixture of the factor analyzers model. Comput. Stat. Data Anal. 52(8): 3939-3953 (2008) - [j1]Xingcai Zhou, Xinsheng Liu:
The Monte Carlo EM method for estimating multinomial probit latent variable models. Comput. Stat. 23(2): 277-289 (2008)
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last updated on 2024-08-11 01:07 CEST by the dblp team
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