Xun Huan
Orcid: 0000-0001-6544-2764
According to our database1,
Xun Huan
authored at least 22 papers
between 2013 and 2024.
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Bibliography
2024
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo.
CoRR, 2024
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes.
CoRR, 2024
Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition.
CoRR, 2024
2023
A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning.
ACM Trans. Comput. Hum. Interact., February, 2023
Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI.
Frontiers Comput. Sci., 2023
Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems.
CoRR, 2023
CoRR, 2023
FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning - A Physics-Constrained Approach to Markov Decision Processes.
CoRR, 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial.
CoRR, 2023
Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis.
CoRR, 2023
Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation.
CoRR, 2023
Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
2021
Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units.
Sensors, 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning.
CoRR, 2021
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning.
CoRR, 2021
2020
Identification of the partial differential equations governing microstructure evolution in materials: Inference over incomplete, sparse and spatially non-overlapping data.
CoRR, 2020
2019
J. Comput. Phys., 2019
J. Comput. Phys., 2019
Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds.
J. Comput. Phys., 2019
2018
Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.
SIAM/ASA J. Uncertain. Quantification, 2018
2014
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
2013
J. Comput. Phys., 2013