An Improved Bloom Filter in Distributed Crawler. - Weipeng Zhou; Pan Wang 001; Xuejiao Chen; Feng Ye (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection. - Weipeng Zhou; Gang Luo 001 (Poly/DMAH@VLDB, 2020)

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. - Weipeng Zhou; Majid Afshar; Dmitriy Dligach; Yanjun Gao; Timothy A. Miller (ClinicalNLP@ACL, 2023)

Considerations for health care institutions training large language models on electronic health records. - Weipeng Zhou; Danielle S. Bitterman; Majid Afshar; Timothy A. Miller (CoRR, 2023)

LeafAI: query generator for clinical cohort discovery rivaling a human programmer. - Nicholas J. Dobbins; Bin Han; Weipeng Zhou; Kristine Lan; H. Nina Kim; Robert D. Harrington; Özlem Uzuner; Meliha Yetisgen (J. Am. Medical Informatics Assoc., 2023)

Improving model transferability for clinical note section classification models using continued pretraining. - Weipeng Zhou; Meliha Yetisgen; Majid Afshar; Yanjun Gao; Guergana Savova; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2023)

Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance. - Lingfei Qian; Weipeng Zhou; Yan Wang; Xueqing Peng; Jimin Huang; Qianqian Xie (CoRR, 2025)