6 citations · 13 across the 13 of their papers we have counts for
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stat.ML2022
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control
Wei Xie, Keqi Wang, Hua Zheng +1
Driven by the critical needs of biomanufacturing 4.0, we introduce a probabilistic knowledge graph hybrid model characterizing the risk- and science-based understanding of bioproce…
stat.ME2022
Stochastic Simulation Uncertainty Analysis to Accelerate Flexible Biomanufacturing Process Development
Wei Xie, Russell R. Barton, Barry L. Nelson +1
Motivated by critical challenges and needs from biopharmaceuticals manufacturing, we propose a general metamodel-assisted stochastic simulation uncertainty analysis framework to ac…
eess.SY2022★ 3 cited
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control
Hua Zheng, Wei Xie, Keqi Wang +1
Driven by the key challenges of cell therapy manufacturing, including high complexity, high uncertainty, and very limited process observations, we propose a hybrid model-based rein…