Xun Huan

Decision Sciences · University of Michigan

Mid career · publishing since 2009Rising activity

Probabilistic and Robust Engineering Design Advanced Multi-Objective Optimization Algorithms Optimal Experimental Design Methods Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

Publications

147

Citations

2,196

Est. group size

~26

Recurring co-author estimate

Active years

Publishing since 2009

In context

Among 111 mid career Decision Sciences PIs within our index

Citations: 2,196cohort median 481

Publications / year (recent): 18.8cohort median 2.6

Typically publishes in teams of ~4 · 44% small-team papers (≤3 authors) · across 42 venues

Publication cadence

Publications per year over the last 10 years — averaging 18.8/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models Using Markov Chain Monte Carlo
SIAM/ASA Journal on Uncertainty Quantification · 2026
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
arXiv (Cornell University) · 2026
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
arXiv (Cornell University) · 2026
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
arXiv (Cornell University) · 2026
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
arXiv (Cornell University) · 2026
Optimal Stopping for Sequential Bayesian Experimental Design
SSRN Electronic Journal · 2026
Four Data-Driven Design Choices for IMU-Based Fetal Movement Detection: Sensitivity, Thresholding, Windowing, and Filtering
2026
Bayesian Variational System Identification with Weak-Form Residual Likelihoods
arXiv (Cornell University) · 2026
Bayesian Variational System Identification with Weak-Form Residual Likelihoods
arXiv (Cornell University) · 2026
Comparative Analysis of Machine Learning Approaches for Fetal Movement Detection with Linear Acceleration and Angular Rate Signals
Sensors · 2025
GeoDGP: One‐Hour Ahead Global Probabilistic Geomagnetic Perturbation Forecasting Using Deep Gaussian Process
Space Weather · 2025
A Multifidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
SIAM/ASA Journal on Uncertainty Quantification · 2025
Bayesian Optimal Experimental Design for Intelligent Data Collection in Material Flow Analysis
Procedia CIRP · 2025
Inverted Transformers for Effective Post‐Calibration in Multisite Wind Power Forecasting
Wind Energy · 2025
"Do Your Guardrails Even Guard?'' Method for Evaluating Effectiveness of Moderation Guardrails in Aligning LLM Outputs with Expert User Expectations
Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 2025

Publishes in

arXiv (Cornell University)×29
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)×7
Computer Methods in Applied Mechanics and Engineering×6
SSRN Electronic Journal×5
Journal of Computational Physics×3

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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