Xi Chen

Orcid: 0000-0001-7965-9198

Affiliations:
  • Virginia Tech, Department of Industrial and Systems Engineering, Blacksburg, VA, USA
  • Northwestern University, Department of Industrial Engineering and Management Science, Evanston, IL, USA (PhD 2012)


According to our database1, Xi Chen authored at least 30 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bonferroni-Free and Indifference-Zone-Flexible Sequential Elimination Procedures for Ranking and Selection.
Oper. Res., 2024

2023
Asymptotic Normality of Joint Metamodel-Based Sobol' Index Estimators.
Proceedings of the Winter Simulation Conference, 2023

Virtual Wearable Sensor Data Generation with Generative Adversarial Networks.
Proceedings of the Winter Simulation Conference, 2023

2022
Efficient and Robust Online Trajectory Prediction for Non-Cooperative Unmanned Aerial Vehicles.
J. Aerosp. Inf. Syst., February, 2022

Empirical Uniform Bounds For Heteroscedastic Metamodeling.
Proceedings of the Winter Simulation Conference, 2022

2021
Enhance load forecastability: Optimize data sampling policy by reinforcing user behaviors.
Eur. J. Oper. Res., 2021

Information Consistency of Stochastic Kriging and Its Implications.
Proceedings of the Winter Simulation Conference, 2021

2020
Uniform Error Bounds for Stochastic Kriging.
Proceedings of the Winter Simulation Conference, 2020

2019
A Variational Inference-Based Heteroscedastic Gaussian Process Approach for Simulation Metamodeling.
ACM Trans. Model. Comput. Simul., 2019

Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure.
Reliab. Eng. Syst. Saf., 2019

An Efficient Morris Method-Based Framework for Simulation Factor Screening.
INFORMS J. Comput., 2019

Multi-Resolution Sensitivity Analysis of Model of Immune Response to Helicobacter pylori Infection via Spatio-Temporal Metamodeling.
Frontiers Appl. Math. Stat., 2019

Input Modeling and Uncertainty Quantification for Improving Volatile Residential Load Forecasting.
CoRR, 2019

Distributed Variational Inference-Based Heteroscedastic Gaussian Process Metamodeling.
Proceedings of the 2019 Winter Simulation Conference, 2019

2018
Quantile regression metamodeling: Toward improved responsiveness in the high-tech electronics manufacturing industry.
Eur. J. Oper. Res., 2018

2017
Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation.
Eur. J. Oper. Res., 2017

A heteroscedastic T-process simulation metamodeling approach and its application in inventory control and optimization.
Proceedings of the 2017 Winter Simulation Conference, 2017

Controlled Morris method: A new distribution-free sequential testing procedure for factor screening.
Proceedings of the 2017 Winter Simulation Conference, 2017

Stochastic co-kriging for steady-state simulation metamodeling.
Proceedings of the 2017 Winter Simulation Conference, 2017

2016
Efficient VaR and CVaR Measurement via Stochastic Kriging.
INFORMS J. Comput., 2016

The effects of estimation of heteroscedasticity on stochastic kriging.
Proceedings of the Winter Simulation Conference, 2016

2014
Stochastic kriging with biased sample estimates.
ACM Trans. Model. Comput. Simul., 2014

Sequential experimental designs for stochastic kriging.
Proceedings of the 2014 Winter Simulation Conference, 2014

Steady-state quantile parameter estimation: an empirical comparison of stochastic kriging and quantile regression.
Proceedings of the 2014 Winter Simulation Conference, 2014

2013
Enhancing Stochastic Kriging Metamodels with Gradient Estimators.
Oper. Res., 2013

Stochastic kriging with qualitative factors.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Building metamodels for quantile-based measures using sectioning.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2012
The effects of common random numbers on stochastic kriging metamodels.
ACM Trans. Model. Comput. Simul., 2012

Stochastic kriging for conditional value-at-risk and its sensitivities.
Proceedings of the Winter Simulation Conference, 2012

2010
Common random numbers and stochastic kriging.
Proceedings of the 2010 Winter Simulation Conference, 2010


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