Zhe Liu

Orcid: 0000-0002-6013-1745

Affiliations:
  • Beihang University, School of Reliability and Systems Engineering, Beijing, China
  • Tsinghua University, Department of Mathematical Sciences, Beijing, China (PhD 2020)


According to our database1, Zhe Liu authored at least 16 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Software Belief Reliability Growth Model Based on Uncertain Differential Equation.
IEEE Trans. Reliab., 2022

Imperfect Debugging Software Belief Reliability Growth Model Based on Uncertain Differential Equation.
IEEE Trans. Reliab., 2022

Swaption pricing problem in uncertain financial market.
Soft Comput., 2022

Uncertain differential equation based accelerated degradation modeling.
Reliab. Eng. Syst. Saf., 2022

Cross validation for uncertain autoregressive model.
Commun. Stat. Simul. Comput., 2022

First hitting time for renewal process with uncertain interarrival times and random rewards.
Commun. Stat. Simul. Comput., 2022

Moment estimation for parameters in high-order uncertain differential equations.
Appl. Math. Comput., 2022

2021
Variable selection in uncertain regression analysis with imprecise observations.
Soft Comput., 2021

Huber Estimation for Uncertain Autoregressive Model.
J. Uncertain Syst., 2021

Uncertain insurance risk process with single premium and multiple classes of claims.
J. Ambient Intell. Humaniz. Comput., 2021

Uncertain growth model for the cumulative number of COVID-19 infections in China.
Fuzzy Optim. Decis. Mak., 2021

Multiple Error Types Software Belief Reliability Growth Model Based on Uncertain Differential Equation.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020
Moment estimations for parameters in uncertain delay differential equations.
J. Intell. Fuzzy Syst., 2020

Cross-Validation for the Uncertain Chapman-Richards Growth Model with Imprecise Observations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

Least absolute deviations for uncertain multivariate regression model.
Int. J. Gen. Syst., 2020

Least absolute deviations estimation for uncertain regression with imprecise observations.
Fuzzy Optim. Decis. Mak., 2020


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