Xun Huan
University of Michigan
H-index: 18
North America-United States
Top articles of Xun Huan
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Substituent Impact on Quinoxaline Performance and Degradation in Redox Flow Batteries | Journal of the American Chemical Society | Sanat Vibhas Modak Daniel Pert Jessica L. Tami Wanggang Shen Ibrahim Abdullahi | 2024/2 |
Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition | arXiv preprint arXiv:2401.08414 | Christian Jacobsen Jiayuan Dong Mehdi Khalloufi Xun Huan Karthik Duraisamy | 2024/1/16 |
Uncertainty-aware explainable AI as a foundational paradigm for digital twins | Frontiers in Mechanical Engineering | Joseph Cohen Xun Huan | 2024/1/5 |
Integrating Inverse Reinforcement Learning into Data-Driven Mechanistic Computational Models: A Novel Paradigm to Decode Cancer Cell Heterogeneity | Frontiers in Systems Biology | Patrick C Kinnunen Kenneth KY Ho Siddhartha Srivastava Chengyang Huang Wanggang Shen | 2024/3/8 |
Variational Bayesian Optimal Experimental Design with Normalizing Flows | https://arxiv.org/abs/2404.13056 | J Dong C Jacobsen M Khalloufi M Akram W Liu | 2024/4 |
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo | arXiv preprint arXiv:2403.18072 | Shijie Zhong Wanggang Shen Tommie Catanach Xun Huan | 2024/3/26 |
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes | arXiv preprint arXiv:2402.11179 | Jeremiah Hauth Cosmin Safta Xun Huan Ravi G Patel Reese E Jones | 2024/2/17 |
Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI | Frontiers in Computer Science | Snehal Prabhudesai Jeremiah Hauth Dingkun Guo Arvind Rao Nikola Banovic | 2023/2/15 |
FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning--A Physics-Constrained Approach to Markov Decision Processes | arXiv preprint arXiv:2306.10407 | Chengyang Huang Siddhartha Srivastava Xun Huan Krishna Garikipati | 2023/6/17 |
A Bayesian Approach to Modeling Unit Manufacturing Process Environmental Impacts using Limited Data with Case Studies on Laser Powder Bed Fusion Cumulative Energy Demand | Procedia CIRP | Jiankan Liao Xun Huan Karl R Haapala Daniel R Cooper | 2023/1/1 |
Variational sequential optimal experimental design using reinforcement learning | arXiv preprint arXiv:2306.10430 | Wanggang Shen Jiayuan Dong Xun Huan | 2023/6/17 |
Multi-Fidelity Propeller Noise Prediction using a Data-Driven Approach | Beckett Yx Zhou Liam P Hanson Shaun F Pullin Bin Zang Jeremiah Hauth | 2023 | |
Understanding capacity fade in organic redox-flow batteries by combining spectroscopy with statistical inference techniques | Nature Communications | Sanat V. Modak Wanggang Sheng Siddhant Singh Dylan Herrera Fairooz Oudeif | 2023/6/16 |
Global sensitivity analysis and uncertainty quantification for background solar wind using the Alfvén Wave Solar atmosphere Model | Space Weather | Aniket Jivani Nishtha Sachdeva Zhenguang Huang Yang Chen Bart van der Holst | 2023/1 |
Expert elicitation and data noise learning for material flow analysis using Bayesian inference | Journal of Industrial Ecology | D Cooper J Dong J Liao X Huan | 2023/5/16 |
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial | arXiv preprint arXiv:2312.16763 | Simon W McKnight Aidan OT Hogg Vincent W Neo Patrick A Naylor | 2023/12/28 |
Understanding uncertainty: how lay decision-makers perceive and interpret uncertainty in human-AI decision making | Snehal Prabhudesai Leyao Yang Sumit Asthana Xun Huan Q Vera Liao | 2023/3/27 | |
Stochastic deep Koopman model for quality propagation analysis in multistage manufacturing systems | Journal of Manufacturing Systems | Zhiyi Chen Harshal Maske Huanyi Shui Devesh Upadhyay Michael Hopka | 2023/12/1 |
Shapley-based explainable ai for clustering applications in fault diagnosis and prognosis | arXiv preprint arXiv:2303.14581 | Joseph Cohen Xun Huan Jun Ni | 2023/3/25 |
Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning | Computer Methods in Applied Mechanics and Engineering | Wanggang Shen Xun Huan | 2023/11/1 |
Co-Authors
