Xiaoge Zhang

Orcid: 0000-0001-6831-3175

Affiliations:
  • 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 69 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Unified Uncertainty-Informed Approach for Risk Management of Deep Learning Models in the Open World.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

Causality-Informed Neural Networks for Regularized Learning in Regression Problems.
IEEE Trans. Syst. Man Cybern. Syst., March, 2026

A Class-Aware Supervised Contrastive Quadratic Neural Network for Imbalanced Bearing Fault Diagnosis.
IEEE Trans. Reliab., 2026

An Uncertainty-Aware Continual Learning Framework for Fault Diagnosis of Rotating Machinery With Homogeneous-Heterogeneous Faults.
IEEE Trans Autom. Sci. Eng., 2026

Conformal machine learning for reliable anomaly detection in industrial cyber-physical systems.
Reliab. Eng. Syst. Saf., 2026

Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems.
Reliab. Eng. Syst. Saf., 2026

Heterogeneous neural blind deconvolution: A signal processing-empowered foundation feature extractor for bearing fault diagnosis.
Neural Networks, 2026

Semi-supervised cross-domain fault diagnosis via contrastive pre-training and annotation-efficient alignment strategy.
J. Ind. Inf. Integr., 2026

2025
A Spatiotemporal Flight Trajectory Prediction and Online Learning Framework Based on Integrated Transformer-Bidirectional Gated Recurrent Unit.
IEEE Trans. Intell. Transp. Syst., December, 2025

Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models.
CoRR, October, 2025

NeuronSeek: On Stability and Expressivity of Task-driven Neurons.
CoRR, June, 2025

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images.
CoRR, January, 2025

2024
Plausibility Extropy: The Complementary Dual of Plausibility Entropy.
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

Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks.
IEEE Trans. Inf. Forensics Secur., 2024

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.
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

Conditional plausibility entropy of belief functions based on Dempster conditioning.
Inf. Sci., 2024

An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery.
Expert Syst. Appl., 2024

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction.
CoRR, 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

Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network.
J. Aerosp. Inf. Syst., 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
Bilevel Optimization Model for Resilient Configuration of Logistics Service Centers.
IEEE Trans. Reliab., 2022

Bayesian Deep Learning for Aircraft Hard Landing Safety Assessment.
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

Towards safe and collaborative aerodrome operations: Assessing shared situational awareness for adverse weather detection with EEG-enabled Bayesian neural networks.
Adv. Eng. Informatics, 2022

2021
Bayesian network modeling of accident investigation reports for aviation safety assessment.
Reliab. Eng. Syst. Saf., 2021

2020
An Accelerated Physarum Solver for Network Optimization.
IEEE Trans. Cybern., 2020

Multi-source information fusion to assess control room operator performance.
Reliab. Eng. Syst. Saf., 2020

Bayesian neural networks for flight trajectory prediction and safety assessment.
Decis. Support Syst., 2020

2019
Machine Learning and Optimization Models to Assess and Enhance System Resilience.
PhD thesis, 2019

Ensemble machine learning models for aviation incident risk prediction.
Decis. Support Syst., 2019

2018
A Bio-Inspired Approach to Traffic Network Equilibrium Assignment Problem.
IEEE Trans. Cybern., 2018

Physarum polycephalum assignment: a new attempt for fuzzy user equilibrium.
Soft Comput., 2018

Resilience-based network design under uncertainty.
Reliab. Eng. Syst. Saf., 2018

Measuring the vulnerability of community structure in complex networks.
Reliab. Eng. Syst. Saf., 2018

Emergent computing and its applications.
Int. J. Parallel Emergent Distributed Syst., 2018

2017
A Game Theoretic Approach to Network Reliability Assessment.
IEEE Trans. Reliab., 2017

Reliability analysis with linguistic data: An evidential network approach.
Reliab. Eng. Syst. Saf., 2017

An adaptive amoeba algorithm for shortest path tree computation in dynamic graphs.
Inf. Sci., 2017

An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition.
Int. J. Prod. Res., 2017

Aircraft re-routing optimization and performance assessment under uncertainty.
Decis. Support Syst., 2017

Physarum solver: a bio-inspired method for sustainable supply chain network design problem.
Ann. Oper. Res., 2017

2016
A Physarum-inspired approach to supply chain network design.
Sci. China Inf. Sci., 2016

2015
<i>Physarum</i>-Inspired Applications in Graph-Optimization Problems.
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

Rapid Physarum Algorithm for shortest path problem.
Appl. Soft Comput., 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
An adaptive amoeba algorithm for constrained shortest paths.
Expert Syst. Appl., 2013

An Adaptive Amoeba Algorithm for Shortest Path Tree Computation in Dynamic Graphs.
CoRR, 2013

Solving 0-1 knapsack problems based on amoeboid organism algorithm.
Appl. Math. Comput., 2013


  Loading...