Xun Huan - RankMe

35 papers A 1C 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models Using Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification Shijie Zhong, Wanggang Shen, Tommie Catanach, Xun Huan
2025	J	`jnl`	A Multifidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design. SIAM/ASA J. Uncertain. Quantification Thomas E. Coons, Xun Huan
2025	J	`jnl`	Bifidelity Karhunen-Loève Expansion Surrogate with Active Learning for Random Fields. CoRR Aniket Jivani, Cosmin Safta, Beckett Y. Zhou, Xun Huan
2025	J	`jnl`	Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning. CoRR R. Z. Zhang, Jiayuan Dong, Jie Liu, Xun Huan
2025	J	`jnl`	Real-Time Physics-Aware Battery Health Monitoring from Partial Charging Profiles via Physics-Informed Neural Networks. CoRR Xubo Gu, Xun Huan, Yao Ren, Wenqing Zhou, Weiran Jiang, Ziyou Song
2024	C	`conf`	Deep Koopman-Based Control of Quality Variation in Multistage Manufacturing Systems. ACC Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun Ni
2024	J	`jnl`	Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems. CoRR Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun Ni
2024	J	`jnl`	Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition. CoRR Christian Jacobsen, Jiayuan Dong, Mehdi Khalloufi, Xun Huan, Karthik Duraisamy, Maryam Akram, Wanjiao Liu
2024	—	`conf`	Exploring Random Forest Machine Learning for Fetal Movement Detection using Abdominal Acceleration and Angular Rate Data. EMBC Lucy Spicher, Carrie Bell, Xun Huan, Kathleen H. Sienko
2024	J	`jnl`	Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo. CoRR Shijie Zhong, Wanggang Shen, Tommie A. Catanach, Xun Huan
2024	J	`jnl`	Optimal experimental design: Formulations and computations. Acta Numer. Xun Huan, Jayanth Jagalur, Youssef M. Marzouk
2024	J	`jnl`	Optimal experimental design: Formulations and computations. CoRR Xun Huan, Jayanth Jagalur, Youssef M. Marzouk
2024	J	`jnl`	Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis. J. Intell. Manuf. Joseph Cohen, Xun Huan, Jun Ni
2024	J	`jnl`	Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes. CoRR Jeremiah Hauth, Cosmin Safta, Xun Huan, Ravi G. Patel, Reese E. Jones
2024	J	`jnl`	Variational Bayesian Optimal Experimental Design with Normalizing Flows. CoRR Jiayuan Dong, Christian Jacobsen, Mehdi Khalloufi, Maryam Akram, Wanjiao Liu, Karthik Duraisamy, Xun Huan
2023	J	`jnl`	A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning. ACM Trans. Comput. Hum. Interact. Tahera Hossain, Wanggang Shen, Anindya Das Antar, Snehal Prabhudesai, Sozo Inoue, Xun Huan, Nikola Banovic
2023	J	`jnl`	FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning - A Physics-Constrained Approach to Markov Decision Processes. CoRR Chengyang Huang, Siddhartha Srivastava, Xun Huan, Krishna C. Garikipati
2023	J	`jnl`	Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation. CoRR Joseph Cohen, Xun Huan, Jun Ni
2023	J	`jnl`	Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI. Frontiers Comput. Sci. Snehal Prabhudesai, Jeremiah Hauth, Dingkun Guo, Arvind Rao, Nikola Banovic, Xun Huan
2023	J	`jnl`	Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis. CoRR Joseph Cohen, Xun Huan, Jun Ni
2023	J	`jnl`	Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems. CoRR Zhiyi Chen, Harshal Maske, Huanyi Shui, Devesh Upadhyay, Michael Hopka, Joseph Cohen, Xingjian Lai, Xun Huan, Jun Ni
2023	J	`jnl`	Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial. CoRR Venkat Nemani, Luca Biggio, Xun Huan, Zhen Hu, Olga Fink, Anh Tran, Yan Wang, Xiaoping Du, Xiaoge Zhang, Chao Hu
2023	A	`conf`	Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making. IUI Snehal Prabhudesai, Leyao Yang, Sumit Asthana, Xun Huan, Q. Vera Liao, Nikola Banovic
2023	J	`jnl`	Variational Sequential Optimal Experimental Design using Reinforcement Learning. CoRR Wanggang Shen, Jiayuan Dong, Xun Huan
2021	J	`jnl`	Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units. Sensors Jeremiah Hauth, Safa Jabri, Fahad Kamran, Eyoel W. Feleke, Kaleab Nigusie, Lauro V. Ojeda, Shirley Handelzalts, Linda Nyquist, Neil B. Alexander, Xun Huan, Jenna Wiens, Kathleen H. Sienko
2021	J	`jnl`	Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning. CoRR Wanggang Shen, Xun Huan
2021	J	`jnl`	Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning. CoRR Maria Han Veiga, Xi Meng, Oleg Y. Gnedin, Nickolay Y. Gnedin, Xun Huan
2020	J	`jnl`	Identification of the partial differential equations governing microstructure evolution in materials: Inference over incomplete, sparse and spatially non-overlapping data. CoRR Zhenlin Wang, Xun Huan, Krishna C. Garikipati
2019	J	`jnl`	Compressive sensing adaptation for polynomial chaos expansions. J. Comput. Phys. Panagiotis Tsilifis, Xun Huan, Cosmin Safta, Khachik Sargsyan, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm, Roger G. Ghanem
2019	J	`jnl`	Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds. J. Comput. Phys. Roger G. Ghanem, Christian Soize, Cosmin Safta, Xun Huan, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm
2019	J	`jnl`	Entropy-based closure for probabilistic learning on manifolds. J. Comput. Phys. Christian Soize, Roger G. Ghanem, Cosmin Safta, Xun Huan, Zachary P. Vane, Joseph C. Oefelein, Guilhem Lacaze, Habib N. Najm, Qi Tang, X. Chen
2018	J	`jnl`	Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions. SIAM/ASA J. Uncertain. Quantification Xun Huan, Cosmin Safta, Khachik Sargsyan, Zachary P. Vane, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm
2017	J	`jnl`	Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions. CoRR Xun Huan, Cosmin Safta, Khachik Sargsyan, Zachary P. Vane, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm
2014	—	`conf`	A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework. DyDESS Mohamad E. Gharamti, Youssef M. Marzouk, Xun Huan, Ibrahim Hoteit
2013	J	`jnl`	Simulation-based optimal Bayesian experimental design for nonlinear systems. J. Comput. Phys. Xun Huan, Youssef M. Marzouk