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Xun Huan

A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design

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Aug 18, 2024
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Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems

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Jul 24, 2024
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Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo

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Mar 26, 2024
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Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes

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Feb 17, 2024
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Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition

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Jan 16, 2024
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Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems

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Sep 18, 2023
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Variational Sequential Optimal Experimental Design using Reinforcement Learning

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Jun 17, 2023
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FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes

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Jun 17, 2023
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Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial

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May 07, 2023
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Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis

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Mar 25, 2023
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