Cheng Peng

According to our database, Cheng Peng authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning.

Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

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

J. Biomed. Informatics, 2024

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction.

Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu

J. Biomed. Informatics, 2024

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need.

Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu

J. Am. Medical Informatics Assoc., 2024

Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning.

Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu

CoRR, 2024

Me LLaMA: Foundation Large Language Models for Medical Applications.

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-Machido, Yonghui Wu, Hua Xu, Jiang Bian

CoRR, 2024

UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models.

Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Clinical concept and relation extraction using prompt-based machine reading comprehension.

Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu

J. Am. Medical Informatics Assoc., August, 2023

RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition.

Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao

Neurocomputing, June, 2023

A study of generative large language model for medical research and healthcare.

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

npj Digit. Medicine, 2023

On the Impact of Cross-Domain Data on German Language Models.

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

CoRR, 2023

On the Impact of Cross-Domain Data on German Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

A Lightweight Top-Down Multi-Person Pose Estimation Method Based on Symmetric Transformation and Global Matching.

Yangyang Li, Danqing Yang, Yanqiao Chen, Cheng Peng, Zhenxiang Sun, Licheng Jiao

IEEE Access, 2022

2021

Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification.

Cheng Peng, Yangyang Li, Licheng Jiao, Ronghua Shang

IEEE Trans. Geosci. Remote. Sens., 2021

Polarimetric SAR Image Classification Based on Edge-Aware Dual Branch Fully Convolutional Network.

Feng Gao, Yanqiao Chen, Xinghua Chai, Bin Wu, Cheng Peng, Ruoting Xing, Yangyang Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Quantum Optimization and Quantum Learning: A Survey.

Yangyang Li, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, Licheng Jiao

IEEE Access, 2020

2019

A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images.

Yangyang Li, Cheng Peng, Yanqiao Chen, Licheng Jiao, Linhao Zhou, Ronghua Shang

IEEE Trans. Geosci. Remote. Sens., 2019

Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation.

Cheng Peng, Yangyang Li, Licheng Jiao, Yanqiao Chen, Ronghua Shang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Optimization based on nonlinear transformation in decision space.

Yangyang Li, Cheng Peng, Yang Wang, Licheng Jiao

Soft Comput., 2019

Adversarial Reconstruction-Classification Networks for PolSAR Image Classification.

Yanqiao Chen, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, Ronghua Shang

Remote. Sens., 2019

A Surrogate Model Assisted Quantum-inspired Evolutionary Algorithm for Hyperparameter Optimization in Machine Learning.

Cheng Peng, Yangyang Li, Lei Cao, Licheng Jiao

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Spatial Fuzzy Clustering and Deep Auto-encoder for Unsupervised Change Detection in Synthetic Aperture Radar Images.

Yangyang Li, Linhao Zhou, Cheng Peng, Licheng Jiao

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018