Wei Xie
Orcid: 0000-0001-9563-4927Affiliations:
- Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Rensselaer Polytechnic Institute, Department of Industrial and System Engineering, Troy, NY, USA (former)
- Northwestern University, Evanston IL, USA (PhD 2014)
According to our database1,
Wei Xie authored at least 57 papers
between 2010 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
CoRR, February, 2026
2025
Efficient Sensitivity Analysis in Biomanufacturing with Sequential Shapley Value Estimation.
Asia Pac. J. Oper. Res., December, 2025
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example.
CoRR, May, 2025
CoRR, January, 2025
2024
Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference.
IEEE Trans. Aerosp. Electron. Syst., August, 2024
Proceedings of the Winter Simulation Conference, 2024
Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model of Partially Observed Stochastic Reaction Network.
Proceedings of the Winter Simulation Conference, 2024
Proceedings of the Winter Simulation Conference, 2024
Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process.
Proceedings of the Winter Simulation Conference, 2024
2023
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes.
INFORMS J. Comput., 2023
Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development.
Eur. J. Oper. Res., 2023
Proceedings of the Winter Simulation Conference, 2023
Proceedings of the Winter Simulation Conference, 2023
Stochastic Molecular Reaction Queueing Network Modeling for in Vitro Transcription Process.
Proceedings of the Winter Simulation Conference, 2023
2022
Integrate Bioprocess Mechanisms into Modeling, Analytics, and Control Strategies to Advance Biopharmaceutical Manufacturing and Delivery Processes.
CoRR, 2022
Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization.
CoRR, 2022
Dynamic Bayesian Network Auxiliary ABC-SMC for Hybrid Model Bayesian Inference to Accelerate Biomanufacturing Process Mechanism Learning and Robust Control.
CoRR, 2022
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control.
CoRR, 2022
Proceedings of the Winter Simulation Conference, 2022
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control.
Proceedings of the Winter Simulation Conference, 2022
From Discovery to Production: Challenges and Novel Methodologies for Next Generation Biomanufacturing.
Proceedings of the Winter Simulation Conference, 2022
2021
ACM Trans. Model. Comput. Simul., 2021
Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care.
BMC Medical Informatics Decis. Mak., 2021
A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation.
SIAM/ASA J. Uncertain. Quantification, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
2020
Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records.
CoRR, 2020
Blockchain-Enabled Internet-of-Things Platform for End-to-End Industrial Hemp Supply Chain.
CoRR, 2020
Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration.
CoRR, 2020
Green Simulation Assisted Reinforcement Learning With Model Risk for Biomanufacturing Learning and Control.
Proceedings of the Winter Simulation Conference, 2020
Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management.
Proceedings of the Winter Simulation Conference, 2020
2019
Eur. J. Oper. Res., 2019
Bayesian Network Based Risk and Sensitivity Analysis for Production Process Stability Control.
CoRR, 2019
Metamodel-Assisted Sensitivity Analysis for Controlling the Impact of Input Uncertainty.
Proceedings of the 2019 Winter Simulation Conference, 2019
Proceedings of the 2019 Winter Simulation Conference, 2019
Stochastic Simulation Model Development for Biopharmaceutical Production Process Risk Analysis and Stability Control.
Proceedings of the 2019 Winter Simulation Conference, 2019
2018
Simulation-based stochastic Programming to Guide Real-Time Scheduling for Smart Power Grids under Cyber Attacks.
Proceedings of the 2018 Winter Simulation Conference, 2018
A simulation-based Prediction Framework for stochastic System Dynamic Risk Management.
Proceedings of the 2018 Winter Simulation Conference, 2018
Proceedings of the 2018 Winter Simulation Conference, 2018
2017
An Efficient Budget Allocation Approach for Quantifying the Impact of Input Uncertainty in Stochastic Simulation.
ACM Trans. Model. Comput. Simul., 2017
ACM Trans. Model. Comput. Simul., 2017
Proceedings of the 2017 Winter Simulation Conference, 2017
Proceedings of the 2017 Winter Simulation Conference, 2017
Proceedings of the 2017 Winter Simulation Conference, 2017
2016
ACM Trans. Model. Comput. Simul., 2016
Proceedings of the Winter Simulation Conference, 2016
2015
Proceedings of the 2015 Winter Simulation Conference, 2015
A sequential experiment design for input uncertainty quantification in stochastic simulation.
Proceedings of the 2015 Winter Simulation Conference, 2015
Quantifying statistical uncertainty for dependent input models with factor structure.
Proceedings of the 2015 Winter Simulation Conference, 2015
2014
Oper. Res., 2014
INFORMS J. Comput., 2014
Statistical uncertainty analysis for stochastic simulation with dependent input models.
Proceedings of the 2014 Winter Simulation Conference, 2014
2010
Proceedings of the 2010 Winter Simulation Conference, 2010
Proceedings of the 2010 Winter Simulation Conference, 2010