Weipeng Zhou

11 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine.
CoRR
Anran Li, Yuanyuan Chen, Wenjun Long, Yu Yin, Yan Hu, Hyunjae Kim, Weipeng Zhou, Yujia Zhou, Hongyi Peng, Yang Ren, Xuguang Ai, Zhenyue Qin, Ming Hu, Xiaoxiao Li, Han Yu, Yih-Chung Tham, Lucila Ohno-Machado, Hua Xu, Qingyu Chen
2026 J jnl
DFCN-CE3: A Three-Way Clustering Algorithm Based on Deep-Fusion Clustering Network.
IEEE Access
Huibing Lin, Jing Zou, Pingxin Wang, Weipeng Zhou
2025 J jnl
Cyber-Physical Revitalization of Intangible Cultural Heritage: Geometric-Numerical Framework for Archimedean Spiral Trajectories in Autonomous Robotic Systems Performing the Traditional Dance Named Bench Dragon.
Symmetry
Mindong Liu, Jiahao Hu, Weipeng Zhou, Xinyi Wang
2025 J jnl
Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance.
CoRR
Lingfei Qian, Weipeng Zhou, Yan Wang, Xueqing Peng, Jimin Huang, Qianqian Xie
2023 J jnl
Considerations for health care institutions training large language models on electronic health records.
CoRR
Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller
2023 J jnl
Improving model transferability for clinical note section classification models using continued pretraining.
J. Am. Medical Informatics Assoc.
Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller
2023 — conf
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.
ClinicalNLP@ACL
Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy A. Miller
2023 J jnl
LeafAI: query generator for clinical cohort discovery rivaling a human programmer.
CoRR
Nicholas J. Dobbins, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen
2023 J jnl
LeafAI: query generator for clinical cohort discovery rivaling a human programmer.
J. Am. Medical Informatics Assoc.
Nicholas J. Dobbins, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen
2020 — conf
Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection.
Poly/DMAH@VLDB
Weipeng Zhou, Gang Luo
2018 — conf
An Improved Bloom Filter in Distributed Crawler.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Weipeng Zhou, Pan Wang, Xuejiao Chen, Feng Ye