Wei Xie - RankMe

62 papers Misc 28Journal 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Variance Reduction Based Experience Replay for Policy Optimization. CoRR Hua Zheng, Wei Xie, Mingbin Ben Feng, Keilung Choy
2025	J	`jnl`	A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example. CoRR Keilung Choy, Wei Xie, Keqi Wang
2025	J	`jnl`	Digital Twin Calibration with Model-Based Reinforcement Learning. CoRR Hua Zheng, Wei Xie, Ilya O. Ryzhov, Keilung Choy
2025	J	`jnl`	Efficient Sensitivity Analysis in Biomanufacturing with Sequential Shapley Value Estimation. Asia Pac. J. Oper. Res. Zixuan Bai, Jun Luo, Wei Xie, Junkai Zhao
2024	Misc	`conf`	Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network. WSC Keilung Choy, Wei Xie
2024	Misc	`conf`	Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process. WSC Fuqiang Cheng, Wei Xie, Hua Zheng
2024	J	`jnl`	Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process. CoRR Fuqiang Cheng, Wei Xie, Hua Zheng
2024	Misc	`conf`	Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model of Partially Observed Stochastic Reaction Network. WSC Wandi Xu, Wei Xie
2024	J	`jnl`	Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference. IEEE Trans. Aerosp. Electron. Syst. Zicheng Wang, Wei Xie, Zhengchun Zhou, Hua Meng, Meng Yang
2024	Misc	`conf`	Sensitivity Analysis on Interaction Effects of Policy-Augmented Bayesian Networks. WSC Junkai Zhao, Jun Luo, Wei Xie, Zixuan Bai
2023	J	`jnl`	Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes. INFORMS J. Comput. Hua Zheng, Wei Xie, Ilya O. Ryzhov, Dongming Xie
2023	Misc	`conf`	Policy-Augmented Bayesian Network Optimization with Global Convergence. WSC Junkai Zhao, Jun Luo, Wei Xie
2023	Misc	`conf`	Stochastic Molecular Reaction Queueing Network Modeling for in Vitro Transcription Process. WSC Keqi Wang, Wei Xie, Hua Zheng
2023	J	`jnl`	Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development. Eur. J. Oper. Res. Wei Xie, Russell R. Barton, Barry L. Nelson, Keqi Wang
2023	Misc	`conf`	Structure-Function Dynamics Hybrid Modeling: RNA Degradation. WSC Hua Zheng, Wei Xie, Chunsheng Fang, Wandi Xu, Paul C. Whitford, Ailun Wang
2022	J	`jnl`	A pooled percentile estimator for parallel simulations. J. Simulation Qiong Zhang, Bo Wang, Wei Xie
2022	J	`jnl`	Dynamic Bayesian Network Auxiliary ABC-SMC for Hybrid Model Bayesian Inference to Accelerate Biomanufacturing Process Mechanism Learning and Robust Control. CoRR Wei Xie, Keqi Wang, Hua Zheng, Mingbin Ben Feng
2022	Misc	`conf`	From Discovery to Production: Challenges and Novel Methodologies for Next Generation Biomanufacturing. WSC Wei Xie, Giulia Pedrielli
2022	Misc	`conf`	Green Simulation Based Policy Optimization with Partial Historical Trajectory Reuse. WSC Hua Zheng, Wei Xie
2022	J	`jnl`	Integrate Bioprocess Mechanisms into Modeling, Analytics, and Control Strategies to Advance Biopharmaceutical Manufacturing and Delivery Processes. CoRR Wei Xie, Giulia Pedrielli
2022	J	`jnl`	Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control. CoRR Hua Zheng, Wei Xie, Keqi Wang, Zheng Li
2022	Misc	`conf`	Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control. WSC Wei Xie, Keqi Wang, Hua Zheng, Mingbin Ben Feng
2022	J	`jnl`	Stochastic Simulation Uncertainty Analysis to Accelerate Flexible Biomanufacturing Process Development. CoRR Wei Xie, Russell R. Barton, Barry L. Nelson, Keqi Wang
2022	J	`jnl`	Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization. CoRR Hua Zheng, Wei Xie
2021	J	`jnl`	A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation. SIAM/ASA J. Uncertain. Quantification Wei Xie, Cheng Li, Yuefeng Wu, Pu Zhang
2021	J	`jnl`	Global-local Metamodel-assisted Stochastic Programming via Simulation. ACM Trans. Model. Comput. Simul. Wei Xie, Yuan Yi, Hua Zheng
2021	J	`jnl`	Green Simulation Assisted Policy Gradient to Accelerate Stochastic Process Control. CoRR Hua Zheng, Wei Xie, Mingbin Ben Feng
2021	J	`jnl`	Policy Optimization in Bayesian Network Hybrid Models of Biomanufacturing Processes. CoRR Hua Zheng, Wei Xie, Ilya O. Ryzhov, Dongming Xie
2021	J	`jnl`	Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care. CoRR Hua Zheng, Jiahao Zhu, Wei Xie, Judy Zhong
2021	J	`jnl`	Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control. CoRR Bo Wang, Wei Xie, Tugce G. Martagan, Alp Akcay
2021	J	`jnl`	Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care. BMC Medical Informatics Decis. Mak. Hua Zheng, Jiahao Zhu, Wei Xie, Judy Zhong
2020	J	`jnl`	Blockchain-Enabled Internet-of-Things Platform for End-to-End Industrial Hemp Supply Chain. CoRR Keqi Wang, Wencen Wu, Wei Xie, Jinxiang Pei, Qi Zhou
2020	J	`jnl`	Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration. CoRR Yuan Yi, Wei Xie, Zhi Zhou, Keqi Wang
2020	Misc	`conf`	Green Simulation Assisted Reinforcement Learning With Model Risk for Biomanufacturing Learning and Control. WSC Hua Zheng, Wei Xie, Mingbin Ben Feng
2020	J	`jnl`	Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control. CoRR Hua Zheng, Wei Xie, Mingbin Ben Feng
2020	J	`jnl`	Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records. CoRR Hua Zheng, Ilya O. Ryzhov, Wei Xie, Judy Zhong
2020	Misc	`conf`	Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management. WSC Keqi Wang, Wei Xie, Bo Wang, Jinxiang Pei, Wencen Wu, Mike Baker, Qi Zhou
2020	J	`jnl`	Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management. CoRR Keqi Wang, Wei Xie, Wencen Wu, Bo Wang, Jinxiang Pei, Mike Baker, Qi Zhou
2019	J	`jnl`	Bayesian Network Based Risk and Sensitivity Analysis for Production Process Stability Control. CoRR Wei Xie, Bo Wang, Cheng Li, Jared Auclair, Peter Baker
2019	J	`jnl`	Bayesian sequential data collection for stochastic simulation calibration. Eur. J. Oper. Res. Bo Wang, Qiong Zhang, Wei Xie
2019	J	`jnl`	Global-Local Metamodel Assisted Two-Stage Optimization via Simulation. CoRR Wei Xie, Yuan Yi, Hua Zheng
2019	Misc	`conf`	Metamodel-Assisted Sensitivity Analysis for Controlling the Impact of Input Uncertainty. WSC Wei Xie, Bo Wang, Pu Zhang
2019	Misc	`conf`	Simulation-based Blockchain Design to Secure Biopharmaceutical Supply Chain. WSC Wei Xie, Bo Wang, Zehao Ye, Wencen Wu, Jie You, Qi Zhou
2019	Misc	`conf`	Stochastic Simulation Model Development for Biopharmaceutical Production Process Risk Analysis and Stability Control. WSC Bo Wang, Wei Xie, Tugce G. Martagan, Alp Akcay, Canan G. Corlu
2018	Misc	`conf`	A simulation-based Prediction Framework for stochastic System Dynamic Risk Management. WSC Wei Xie, Pu Zhang, Ilya O. Ryzhov
2018	Misc	`conf`	Metamodel-Assisted Risk Analysis for stochastic simulation with input uncertainty. WSC Wei Xie, Bo Wang, Qiong Zhang
2018	Misc	`conf`	Simulation-based stochastic Programming to Guide Real-Time Scheduling for Smart Power Grids under Cyber Attacks. WSC Yuan Yi, Wei Xie, Zhi Zhou
2017	J	`jnl`	A Factor-Based Bayesian Framework for Risk Analysis in Stochastic Simulations. ACM Trans. Model. Comput. Simul. Wei Xie, Cheng Li, Pu Zhang
2017	Misc	`conf`	A stochastic simulation calibration framework for real-time system control. WSC Wei Xie, Pu Zhang, Qiong Zhang
2017	J	`jnl`	An Efficient Budget Allocation Approach for Quantifying the Impact of Input Uncertainty in Stochastic Simulation. ACM Trans. Model. Comput. Simul. Yuan Yi, Wei Xie
2017	Misc	`conf`	Asymmetric kriging emulator for stochastic simulation. WSC Qiong Zhang, Wei Xie
2017	Misc	`conf`	Bayesian sequential calibration using detailed sample paths. WSC Bo Wang, Qiong Zhang, Wei Xie
2016	Misc	`conf`	A simulation-based prediction framework for two-stage dynamic decision making. WSC Wei Xie, Yuan Yi
2016	J	`jnl`	Multivariate Input Uncertainty in Output Analysis for Stochastic Simulation. ACM Trans. Model. Comput. Simul. Wei Xie, Barry L. Nelson, Russell R. Barton
2015	Misc	`conf`	A sequential experiment design for input uncertainty quantification in stochastic simulation. WSC Yuan Yi, Wei Xie, Enlu Zhou
2015	Misc	`conf`	Quantifying statistical uncertainty for dependent input models with factor structure. WSC Wei Xie, Hongtan Sun, Cheng Li
2015	Misc	`conf`	Simulation optimization when facing input uncertainty. WSC Enlu Zhou, Wei Xie
2014	J	`jnl`	A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation. Oper. Res. Wei Xie, Barry L. Nelson, Russell R. Barton
2014	J	`jnl`	Quantifying Input Uncertainty via Simulation Confidence Intervals. INFORMS J. Comput. Russell R. Barton, Barry L. Nelson, Wei Xie
2014	Misc	`conf`	Statistical uncertainty analysis for stochastic simulation with dependent input models. WSC Wei Xie, Barry L. Nelson, Russell R. Barton
2010	Misc	`conf`	A framework for input uncertainty analysis. WSC Russell R. Barton, Barry L. Nelson, Wei Xie
2010	Misc	`conf`	The influence of correlation functions on stochastic kriging metamodels. WSC Wei Xie, Barry L. Nelson, Jeremy Staum