Cheng Peng

37 papers B 1C 2Journal 31Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models.
CoRR
Mengxian Lyu, Cheng Peng, Ziyi Chen, Mengyuan Zhang, Jieting Li Lu, Yonghui Wu
2026 J jnl
MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine.
CoRR
Kai Zhang, Zhengqing Yuan, Cheng Peng, Songlin Zhao, Mengxian Lyu, Ziyi Chen, Yanfang Ye, Wei Liu, Ying Zhang, Kaleb E. Smith, Lifang He, Lichao Sun, Yonghui Wu
2026 J jnl
Natural language generation in healthcare: A review of methods and applications.
J. Biomed. Informatics
Mengxian Lyu, Xiaohan Li, Ziyi Chen, Jinqian Pan, Cheng Peng, Sankalp Talankar, Yonghui Wu
2025 J jnl
A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning.
CoRR
Cheng Peng, Xinyu Dong, Mengxian Lyu, Daniel Paredes, Yaoyun Zhang, Yonghui Wu
2025 — conf
Improving Medical Visual Instruction Tuning with Labeled Datasets.
MedAGI
Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koras, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek
2025 J jnl
Medical foundation large language models for comprehensive text analysis and beyond.
npj Digit. Medicine
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xinyu Zhou, Lingfei Qian, Huan He, Dennis L. Shung, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
2025 J jnl
Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning.
CoRR
Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu
2025 J jnl
Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning.
J. Biomed. Informatics
Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu
2024 J jnl
Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning.
CoRR
Mengxian Lyu, Cheng Peng, Xiaohan Li, Patrick Balian, Jiang Bian, Yonghui Wu
2024 J jnl
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need.
J. Am. Medical Informatics Assoc.
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
2024 J jnl
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.
J. Biomed. Informatics
Zehao Yu, Cheng Peng, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
2024 J jnl
Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning.
CoRR
Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu
2024 J jnl
Me LLaMA: Foundation Large Language Models for Medical Applications.
CoRR
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xingyu Zhou, Huan He, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
2024 J jnl
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction.
J. Biomed. Informatics
Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
2024 J jnl
ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao
2024 — conf
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models.
BioNLP@ACL
Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu
2024 J jnl
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models.
CoRR
Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu
2023 J jnl
A Study of Generative Large Language Model for Medical Research and Healthcare.
CoRR
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
2023 J jnl
A study of generative large language model for medical research and healthcare.
npj Digit. Medicine
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
2023 J jnl
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension.
CoRR
Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu
2023 J jnl
Clinical concept and relation extraction using prompt-based machine reading comprehension.
J. Am. Medical Informatics Assoc.
Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu
2023 J jnl
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need.
CoRR
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
2023 J jnl
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction.
CoRR
Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
2023 — conf
On the Impact of Cross-Domain Data on German Language Models.
EMNLP (Findings)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2023 J jnl
On the Impact of Cross-Domain Data on German Language Models.
CoRR
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2023 J jnl
RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition.
Neurocomputing
Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao
2022 J jnl
A Lightweight Top-Down Multi-Person Pose Estimation Method Based on Symmetric Transformation and Global Matching.
IEEE Access
Yangyang Li, Danqing Yang, Yanqiao Chen, Cheng Peng, Zhenxiang Sun, Licheng Jiao
2021 J jnl
Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Cheng Peng, Yangyang Li, Licheng Jiao, Ronghua Shang
2021 C conf
Polarimetric SAR Image Classification Based on Edge-Aware Dual Branch Fully Convolutional Network.
IGARSS
Feng Gao, Yanqiao Chen, Xinghua Chai, Bin Wu, Cheng Peng, Ruoting Xing, Yangyang Li
2021 J jnl
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition.
CoRR
Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao
2020 J jnl
Quantum Optimization and Quantum Learning: A Survey.
IEEE Access
Yangyang Li, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, Licheng Jiao
2019 J jnl
A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images.
IEEE Trans. Geosci. Remote. Sens.
Yangyang Li, Cheng Peng, Yanqiao Chen, Licheng Jiao, Linhao Zhou, Ronghua Shang
2019 B conf
A Surrogate Model Assisted Quantum-inspired Evolutionary Algorithm for Hyperparameter Optimization in Machine Learning.
CEC
Cheng Peng, Yangyang Li, Lei Cao, Licheng Jiao
2019 J jnl
Adversarial Reconstruction-Classification Networks for PolSAR Image Classification.
Remote. Sens.
Yanqiao Chen, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, Ronghua Shang
2019 J jnl
Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Cheng Peng, Yangyang Li, Licheng Jiao, Yanqiao Chen, Ronghua Shang
2019 J jnl
Optimization based on nonlinear transformation in decision space.
Soft Comput.
Yangyang Li, Cheng Peng, Yang Wang, Licheng Jiao
2018 C conf
Spatial Fuzzy Clustering and Deep Auto-encoder for Unsupervised Change Detection in Synthetic Aperture Radar Images.
IGARSS
Yangyang Li, Linhao Zhou, Cheng Peng, Licheng Jiao