Publications

Shali Jiang, Hua Zheng, Boyang Liu, Laming Chen, Kenny Lov, Chuanqi Xu, Lisang Ding, Qinghai Zhou, Can Cui, Xiaolong Liu, Xiaoyi Liu, Yasmine Badr, Xin Xu, Jiyan Yang, Ellie Dingqiao Wen, Rong Jin, Wenlin Chen, Santanu Kolay, Huayu Li (2026). LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation. arXiv preprint arXiv:2605.29280.

Keqi Wang, Keilung Choy, Eli Reiser, Jinxiang Pei, Hua Zheng, Aparajita Dasgupta, Fuqiang Cheng, Guogang Dong, Bhanu Chandra Mulukutla, Joshua Mannheimer, Carolyn Huang, Hooman Farsani, Wei Xie (2026). A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction. Biotechnology and Bioengineering.

Hua Zheng, Wei Xie, M. Ben Feng, Keilung Choy (2026). Variance Reduction Based Experience Replay for Policy Optimization. arXiv preprint arXiv:2602.05379.

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Hua Zheng, Wei Xie, Ilya O Ryzhov, Keilung Choy (2025). Digital Twin Calibration with Model-Based Reinforcement Learning. arXiv preprint arXiv:2501.02205.

Min Liang, Xin Liu, Ruoming Jin, Bo Liu, Qiong Suo, Qi Zhou, Song Zhou, Lin Chen, Hua Zheng (2025). External large foundation model: How to efficiently serve trillions of parameters for online ads recommendation. Companion Proceedings of the ACM on Web Conference 2025.

Hua Zheng, Sarah W Harcum, Jinxiang Pei, Wei Xie (2024). Stochastic biological system-of-systems modelling for iPSC culture. Communications Biology.

Hua Zheng (2024). Sample-Efficient Reinforcement Learning and Its Applications. Northeastern University.

Fang Cheng, Wei Xie, Hua Zheng (2024). Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process. Proceedings of the Winter Simulation Conference 2024.

Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen (2023). SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. Submitted.

Hua Zheng, Wei Xie, C Fang, W Xu, P C Whitford, A Wang (2023). Structure-Function Dynamics Hybrid Modeling: RNA Degradation. Proceedings of the Winter Simulation Conference 2023.

Keqi Wang, Wei Xie, Hua Zheng (2023). Stochastic molecular reaction queueing network modeling for in vitro transcription process. Proceedings of the Winter Simulation Conference 2023.

Hua Zheng, Wei Xie, Ilya O Ryzhov, Dongming Xie (2022). Policy Optimization in Bayesian Network Hybrid Models of Biomanufacturing Processes. INFORMS Journal on Computing.

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Hua Zheng, Wei Xie, M Ben Feng (2022). Variance Reduction based Experience Replay for Policy Optimization. Under Review by JMLR..

Hua Zheng, Wei Xie (2022). Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization. Proceedings of the Winter Simulation Conference 2022.

Hua Zheng, Wei Xie, Keqi Wang, Zheng Li (2022). Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Development and Control. arXiv preprint arXiv:2201.03116.

Wei Xie, Keqi Wang, Hua Zheng, Ben Feng (2022). Dynamic Bayesian Network Auxiliary ABC-SMC for Hybrid Model Bayesian Inference to Accelerate Biomanufacturing Process Mechanism Learning and Robust Control. Proceedings of the Winter Simulation Conference 2022.

Wei Xie, Yuan Yi, Hua Zheng (2021). Global-Local Metamodel-Assisted Stochastic Programming via Simulation. ACM Transactions on Modeling and Computer Simulation.

Wei Xie, Beverly Kris Jaeger-Helton, Jared Auclair, Jinxiang Pei, Hua Zheng (2021). STEM Education and Industry Workforce Life-Long Training Platform Development to Faciliate Smart Biopharmaceutical Manufacturing 4.0-4. 2020 Northeast Section Meeting.

Hua Zheng, Ilya O. Ryzhov, Wei Xie, Judy Zhong (2021). Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records. Drugs.

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Hua Zheng, Jiahao Zhu, Wei Xie, Judy Zhong (2021). Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care. BMC medical informatics and decision making.

Hua Zheng, Wei Xie, M. Ben Feng (2020). Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control. Proceedings of the Winter Simulation Conference 2020.