Xiaoge Zhang
Orcid: 0000-0001-6831-3175Affiliations:
- FedEx Express
- Vanderbilt University, School of Engineering, Nashville, TN, USA
- Southwest University, School of Computer and Information Science, Chongqing, China
According to our database1,
Xiaoge Zhang
authored at least 54 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, September, 2024
Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection.
IEEE Trans. Artif. Intell., September, 2024
An Uncertainty-Aware Deep Learning Model for Reliable Detection of Steel Wire Rope Defects.
IEEE Trans. Reliab., June, 2024
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Inf. Forensics Secur., 2024
IEEE Trans. Inf. Forensics Secur., 2024
A principled distance-aware uncertainty quantification approach for enhancing the reliability of physics-informed neural network.
Reliab. Eng. Syst. Saf., 2024
Deep reinforcement learning for intelligent risk optimization of buildings under hazard.
Reliab. Eng. Syst. Saf., 2024
Continuous optimization for construction of neural network-based prediction intervals.
Knowl. Based Syst., 2024
Inf. Sci., 2024
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery.
Expert Syst. Appl., 2024
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise.
CoRR, 2024
2023
Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments.
IEEE Internet Things J., August, 2023
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems.
Reliab. Eng. Syst. Saf., 2023
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge.
CoRR, 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial.
CoRR, 2023
2022
IEEE Trans. Reliab., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Explainable machine learning in image classification models: An uncertainty quantification perspective.
Knowl. Based Syst., 2022
Towards risk-aware artificial intelligence and machine learning systems: An overview.
Decis. Support Syst., 2022
A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies.
CoRR, 2022
A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives.
CoRR, 2022
2021
Bayesian network modeling of accident investigation reports for aviation safety assessment.
Reliab. Eng. Syst. Saf., 2021
2020
Reliab. Eng. Syst. Saf., 2020
Decis. Support Syst., 2020
2019
PhD thesis, 2019
Decis. Support Syst., 2019
2018
IEEE Trans. Cybern., 2018
Soft Comput., 2018
Reliab. Eng. Syst. Saf., 2018
Int. J. Parallel Emergent Distributed Syst., 2018
2017
IEEE Trans. Reliab., 2017
Reliab. Eng. Syst. Saf., 2017
Inf. Sci., 2017
An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition.
Int. J. Prod. Res., 2017
Decis. Support Syst., 2017
Physarum solver: a bio-inspired method for sustainable supply chain network design problem.
Ann. Oper. Res., 2017
2016
Sci. China Inf. Sci., 2016
2015
Parallel Process. Lett., 2015
Solving the Longest Path Problem in Directed Acyclic Graphs Based on Amoeba Algorithm.
Int. J. Unconv. Comput., 2015
An anticipation mechanism for the shortest path problem based on <i>Physarum polycephalum</i>.
Int. J. Gen. Syst., 2015
A fuzzy extended analytic network process-based approach for global supplier selection.
Appl. Intell., 2015
2014
A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths.
J. Optim. Theory Appl., 2014
A <i>Physarum Polycephalum</i> Optimization Algorithm for the Bi-objective Shortest Path Problem.
Int. J. Unconv. Comput., 2014
A Physarum-Inspired Approach to Optimal Supply Chain Network Design at Minimum Total Cost with Demand Satisfaction.
CoRR, 2014
An evidential DEMATEL method to identify critical success factors in emergency management.
Appl. Soft Comput., 2014
A bio-inspired algorithm for identification of critical components in the transportation networks.
Appl. Math. Comput., 2014
2013
Expert Syst. Appl., 2013
CoRR, 2013
Appl. Math. Comput., 2013