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ORCIDCheng Peng 0009
Person information
- affiliation: Xidian University, School of Artificial Intelligence, Xi'an, China
Other persons with the same name
- Cheng Peng — disambiguation page
- Cheng Peng 0001 — Hunan University of Technology, School of Computer and Communication, Zhuzhou, China (and 1 more)
- Cheng Peng 0002 — North China Electric Power University, School of Energy, Power and Mechanical Engineering, Beijing, China
- Cheng Peng 0003
![[0000-0002-4605-7534]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4605-7534")
— Macau University of Science and Technology, Faculty of Information Technology, Macau - Cheng Peng 0004 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Cheng Peng 0005 — Shandong University, School of Mechanical Engineering, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Jinan, China (and 2 more)
- Cheng Peng 0006 — Massachusetts Institute of Technology, MA, USA
- Cheng Peng 0007 — University of California, Los Angeles, LA, USA
- Cheng Peng 0008 — Johns Hopkins University, Artificial Intelligence for Engineering and Medicine Lab, MD, USA (and 1 more)
- Cheng Peng 0010 — University of Minnesota, Department of Computer Science and Engineering, MN, USA
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Journal Articles
- 2024
[j14]Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu:
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. J. Am. Medical Informatics Assoc. 31(9): 1892-1903 (2024)- [j13]Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu:
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. J. Biomed. Informatics 153: 104630 (2024) - [j12]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:
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. J. Biomed. Informatics 153: 104642 (2024) - [j11]Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2805-2819 (2024) - 2023
- [j10]Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition. Neurocomputing 537: 110-127 (2023) - [j9]Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu:
Clinical concept and relation extraction using prompt-based machine reading comprehension. J. Am. Medical Informatics Assoc. 30(9): 1486-1493 (2023) - [j8]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:
A study of generative large language model for medical research and healthcare. npj Digit. Medicine 6 (2023) - 2022
- [j7]Yangyang Li, Danqing Yang, Yanqiao Chen, Cheng Peng, Zhenxiang Sun, Licheng Jiao:
A Lightweight Top-Down Multi-Person Pose Estimation Method Based on Symmetric Transformation and Global Matching. IEEE Access 10: 22112-22122 (2022) - 2021
- [j6]Cheng Peng, Yangyang Li, Licheng Jiao, Ronghua Shang:
Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 6092-6105 (2021) - 2020
- [j5]Yangyang Li, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, Licheng Jiao:
Quantum Optimization and Quantum Learning: A Survey. IEEE Access 8: 23568-23593 (2020) - 2019
- [j4]Yanqiao Chen, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, Ronghua Shang:
Adversarial Reconstruction-Classification Networks for PolSAR Image Classification. Remote. Sens. 11(4): 415 (2019) - [j3]Yangyang Li, Cheng Peng, Yang Wang, Licheng Jiao:
Optimization based on nonlinear transformation in decision space. Soft Comput. 23(11): 3571-3590 (2019) - [j2]Cheng Peng, Yangyang Li, Licheng Jiao, Yanqiao Chen, Ronghua Shang:
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. 12(8): 2612-2626 (2019) - [j1]Yangyang Li, Cheng Peng, Yanqiao Chen, Licheng Jiao, Linhao Zhou, Ronghua Shang:
A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images. IEEE Trans. Geosci. Remote. Sens. 57(8): 5751-5763 (2019)
Conference and Workshop Papers
- 2024
- [c5]Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu:
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. BioNLP@ACL 2024: 685-695 - 2023
- [c4]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:
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813 - 2021
- [c3]Feng Gao, Yanqiao Chen, Xinghua Chai, Bin Wu, Cheng Peng, Ruoting Xing, Yangyang Li:
Polarimetric SAR Image Classification Based on Edge-Aware Dual Branch Fully Convolutional Network. IGARSS 2021: 4728-4731 - 2019
- [c2]Cheng Peng, Yangyang Li, Lei Cao, Licheng Jiao:
A Surrogate Model Assisted Quantum-inspired Evolutionary Algorithm for Hyperparameter Optimization in Machine Learning. CEC 2019: 1060-1067 - 2018
- [c1]Yangyang Li, Linhao Zhou, Cheng Peng, Licheng Jiao:
Spatial Fuzzy Clustering and Deep Auto-encoder for Unsupervised Change Detection in Synthetic Aperture Radar Images. IGARSS 2018: 4479-4482
Informal and Other Publications
- 2024
- [i9]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:
Me LLaMA: Foundation Large Language Models for Medical Applications. CoRR abs/2402.12749 (2024) - [i8]Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu:
Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning. CoRR abs/2403.12374 (2024) - [i7]Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu:
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. CoRR abs/2407.15359 (2024) - 2023
- [i6]Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu:
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension. CoRR abs/2303.08262 (2023) - [i5]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:
A Study of Generative Large Language Model for Medical Research and Healthcare. CoRR abs/2305.13523 (2023) - [i4]Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu:
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction. CoRR abs/2310.06239 (2023) - [i3]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:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - [i2]Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu:
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need. CoRR abs/2312.06099 (2023) - 2021
- [i1]Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition. CoRR abs/2112.03456 (2021)
Coauthor Index
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