| Personalized multimorbidity management for patients with type 2 diabetes using reinforcement learning of electronic health records H Zheng, IO Ryzhov, W Xie, J Zhong Drugs 81, 471-482, 2021 | 36 | 2021 |
| Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes H Zheng, W Xie, IO Ryzhov, D Xie INFORMS Journal on Computing, 2022 | 22 | 2022 |
| Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care H Zheng, J Zhu, W Xie, J Zhong BMC medical informatics and decision making 21 (1), 350, 2021 | 19 | 2021 |
| Green simulation assisted reinforcement learning with model risk for biomanufacturing learning and control H Zheng, W Xie, MB Feng 2020 Winter Simulation Conference (WSC), 337-348, 2020 | 9 | 2020 |
| Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control H Zheng, W Xie, K Wang, Z Li arXiv preprint arXiv:2201.03116, 2022 | 7 | 2022 |
| Global-local metamodel-assisted stochastic programming via simulation W Xie, Y Yi, H Zheng ACM Transactions on Modeling and Computer Simulation (TOMACS) 31 (1), 1-34, 2020 | 6 | 2020 |
| Green Simulation Based Policy Optimization with Partial Historical Trajectory Reuse H Zheng, W Xie 2022 Winter Simulation Conference (WSC), 168-179, 2022 | 5* | 2022 |
| Stochastic biological system-of-systems modelling for iPSC culture H Zheng, SW Harcum, J Pei, W Xie Communications Biology 7 (1), 39, 2024 | 4 | 2024 |
| Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control W Xie, K Wang, H Zheng, B Feng 2022 Winter Simulation Conference (WSC), 2282-2293, 2022 | 3* | 2022 |
| Variance Reduction based Experience Replay for Policy Optimization H Zheng, W Xie, MB Feng https://arxiv.org/abs/2110.08902, 2022 | 3 | 2022 |
| Stochastic Molecular Reaction Queueing Network Modeling for in Vitro Transcription Process K Wang, W Xie, H Zheng 2023 Winter Simulation Conference (WSC), 1900-1911, 2023 | 2 | 2023 |
| SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape H Zheng, KH Liu, I Fedorov, X Zhang, WY Chen, W Wen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1* | 2024 |
| Structure-Function Dynamics Hybrid Modeling: RNA Degradation H Zheng, W Xie, C Fang, W Xu, PC Whitford, A Wang 2023 Winter Simulation Conference (WSC), 480-491, 2023 | 1 | 2023 |
| Digital Twin Calibration with Model-Based Reinforcement Learning H Zheng, W Xie, IO Ryzhov, K Choy arXiv preprint arXiv:2501.02205, 2025 | | 2025 |
| Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process F Cheng, W Xie, H Zheng arXiv preprint arXiv:2405.03913, 2024 | | 2024 |
| Sample-Efficient Reinforcement Learning and Its Applications H Zheng Northeastern University, 2024 | | 2024 |
wei xieMechanical and Industrial Engineering, Northeastern University在 northeastern.edu 的电子邮件经过验证
