Xuefeng Kong

Orcid: 0000-0002-0490-7190

According to our database1, Xuefeng Kong authored at least 12 papers between 2018 and 2023.

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

Timeline

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Links

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Bibliography

2023
Pseudo-labeling Integrating Centers and Samples with Consistent Selection Mechanism for Unsupervised Domain Adaptation.
Inf. Sci., May, 2023

2022
Multi-mission selective maintenance and repairpersons assignment problem with stochastic durations.
Reliab. Eng. Syst. Saf., 2022

Unsupervised domain adaptation via discriminative feature learning and classifier adaptation from center-based distances.
Knowl. Based Syst., 2022

Discriminative transfer feature learning based on robust-centers.
Neurocomputing, 2022

A fake review identification framework considering the suspicion degree of reviews with time burst characteristics.
Expert Syst. Appl., 2022

2021
Reliability analysis of products based on proportional hazard model with degradation trend and environmental factor.
Reliab. Eng. Syst. Saf., 2021

Reliability modeling-based tolerance design and process parameter analysis considering performance degradation.
Reliab. Eng. Syst. Saf., 2021

Planning constant-stress accelerated life tests with multiple stresses based on D-optimal design.
Qual. Reliab. Eng. Int., 2021

2020
Reliability analysis of composite insulators subject to multiple dependent competing failure processes with shock duration and shock damage self-recovery.
Reliab. Eng. Syst. Saf., 2020

2019
Remaining Useful Life Prediction of Rolling Bearings Based on RMS-MAVE and Dynamic Exponential Regression Model.
IEEE Access, 2019

2018
Reliability-based Usage Strategy Optimization for Lifetime Maximization of Solid-state Lasers.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Research on Sampling Method of CFSFDP Clustering Algorithm and Its Criteria for Determining the Best Sample Size.
Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, 2018


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