Xiaohu Zheng

According to our database1, Xiaohu Zheng authored at least 22 papers between 1993 and 2023.

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



In proceedings 
PhD thesis 


On csauthors.net:


Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification.
Reliab. Eng. Syst. Saf., 2023

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network.
CoRR, 2023

Consistency regularization-based deep polynomial chaos neural network method for reliability analysis.
Reliab. Eng. Syst. Saf., 2022

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network.
CoRR, 2022

Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm.
CoRR, 2022

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems.
CoRR, 2022

Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering.
CoRR, 2022

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision.
CoRR, 2022

Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation.
CoRR, 2022

Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis.
CoRR, 2022

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification.
CoRR, 2021

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part I - Independent systems.
Reliab. Eng. Syst. Saf., 2020

An iterative information integration method for multi-level system reliability analysis based on Bayesian Melding Method.
Reliab. Eng. Syst. Saf., 2020

ss5: A Neural Network-based Energy Consumption Prediction Model for Feature Selection and Paremeter Optimization of Winders.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Improved compression inference algorithm for reliability analysis of complex multistate satellite system based on multilevel Bayesian network.
Reliab. Eng. Syst. Saf., 2019

Complex Satellite Lifetime Optimization Based on Bayesian Network Reliability Compression Inference Algorithm.
IEEE Access, 2019

Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information.
IEEE Access, 2019

Data-driven process planning for shipbuilding.
Artif. Intell. Eng. Des. Anal. Manuf., 2018

Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A framework of cyber-physical system for smart cotton production.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Utopia: a Load Sharing Facility for Large, Heterogeneous Distributed Computer Systems.
Softw. Pract. Exp., 1993