Xiaohu Zheng

Orcid: 0000-0001-9947-2742

According to our database¹, Xiaohu Zheng authored at least 34 papers between 1993 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., January, 2024

Contrastive enhancement using latent prototype for few-shot segmentation.

[BibT_eX]

[DOI]

Digit. Signal Process., January, 2024

HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2024

A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

A novel PoI temperature prediction method for heat source system based on graph convolutional networks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Improving the Transferability of Adversarial Examples by Feature Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

Hybrid digital twin for satellite temperature field perception and attitude control.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

2023

Parameterized coefficient fine-tuning-based polynomial chaos expansion method for sphere-biconic reentry vehicle reliability analysis and design.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., December, 2023

Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., July, 2023

Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2023

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

Simplified Monocular Ranging Anomalous Behaviour Detection Model for Security Monitoring Applications.

[BibT_eX]

[DOI]

Proceedings of the Electronics, Communications and Networks, 2023

2022

Consistency regularization-based deep polynomial chaos neural network method for reliability analysis.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network.

[BibT_eX]

[DOI]

CoRR, 2022

Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm.

[BibT_eX]

[DOI]

CoRR, 2022

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems.

[BibT_eX]

[DOI]

Xiaohu Zheng

Wen Yao

Xiaoqian Chen

CoRR, 2022

Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision.

[BibT_eX]

[DOI]

CoRR, 2022

Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part I - Independent systems.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

An iterative information integration method for multi-level system reliability analysis based on Bayesian Melding Method.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

ss5: A Neural Network-based Energy Consumption Prediction Model for Feature Selection and Paremeter Optimization of Winders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Improved compression inference algorithm for reliability analysis of complex multistate satellite system based on multilevel Bayesian network.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2019

Complex Satellite Lifetime Optimization Based on Bayesian Network Reliability Compression Inference Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2019

Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Data-driven process planning for shipbuilding.

[BibT_eX]

[DOI]

Artif. Intell. Eng. Des. Anal. Manuf., 2018

Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

A framework of cyber-physical system for smart cotton production.

[BibT_eX]

[DOI]

Jinsong Bao

Shiyong Yin

Xiaohu Zheng

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

1993

Utopia: a Load Sharing Facility for Large, Heterogeneous Distributed Computer Systems.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 1993

Xiaohu Zheng

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