Spatial Fuzzy Clustering and Deep Auto-encoder for Unsupervised Change Detection in Synthetic Aperture Radar Images. - Yangyang Li 001; Linhao Zhou; Cheng Peng 009; Licheng Jiao (IGARSS, 2018)

A Surrogate Model Assisted Quantum-inspired Evolutionary Algorithm for Hyperparameter Optimization in Machine Learning. - Cheng Peng 009; Yangyang Li 001; Lei Cao; Licheng Jiao (CEC, 2019)

Adversarial Reconstruction-Classification Networks for PolSAR Image Classification. - Yanqiao Chen; Yangyang Li 001; Licheng Jiao; Cheng Peng 009; Xiangrong Zhang; Ronghua Shang (Remote. Sens., 2019)

Optimization based on nonlinear transformation in decision space. - Yangyang Li 001; Cheng Peng 009; Yang Wang 075; Licheng Jiao (Soft Comput., 2019)

Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation. - Cheng Peng 009; Yangyang Li 001; Licheng Jiao; Yanqiao Chen; Ronghua Shang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images. - Yangyang Li 001; Cheng Peng 009; Yanqiao Chen; Licheng Jiao; Linhao Zhou; Ronghua Shang (IEEE Trans. Geosci. Remote. Sens., 2019)

Quantum Optimization and Quantum Learning: A Survey. - Yangyang Li 001; Mengzhuo Tian; Guangyuan Liu; Cheng Peng 009; Licheng Jiao (IEEE Access, 2020)

Polarimetric SAR Image Classification Based on Edge-Aware Dual Branch Fully Convolutional Network. - Feng Gao; Yanqiao Chen; Xinghua Chai; Bin Wu; Cheng Peng 009; Ruoting Xing; Yangyang Li 001 (IGARSS, 2021)

Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification. - Cheng Peng 009; Yangyang Li 001; Licheng Jiao; Ronghua Shang (IEEE Trans. Geosci. Remote. Sens., 2021)

A Lightweight Top-Down Multi-Person Pose Estimation Method Based on Symmetric Transformation and Global Matching. - Yangyang Li 001; Danqing Yang; Yanqiao Chen; Cheng Peng 009; Zhenxiang Sun; Licheng Jiao (IEEE Access, 2022)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Seibold; Jianning Li 002; Lars Heiliger; Christoph M. Friedrich; Daniel Truhn; Jan Egger; Jiang Bian 001; et al. (EMNLP (Findings), 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Marc Seibold; Jianning Li 002; Lars Heiliger; Xi Yang 015; Christoph M. Friedrich; Daniel Truhn; Jan Egger; et al. (CoRR, 2023)

A study of generative large language model for medical research and healthcare. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Kaleb E. Smith; Nima M. Pournejatian; Anthony B. Costa; Cheryl Martin 002; Mona G. Flores; Ying Zhang; Tanja Magoc; Gloria P. Lipori; Duane A. Mitchell; et al. (npj Digit. Medicine, 2023)

RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition. - Cheng Peng 009; Yangyang Li 001; Ronghua Shang; Licheng Jiao (Neurocomputing, 2023)

Clinical concept and relation extraction using prompt-based machine reading comprehension. - Cheng Peng 009; Xi Yang 015; Zehao Yu 001; Jiang Bian 001; William R. Hogan; Yonghui Wu (J. Am. Medical Informatics Assoc., 2023)

UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. - Mengxian Lyu; Cheng Peng 009; Daniel Paredes; Ziyi Chen; Aokun Chen; Jiang Bian 001; Yonghui Wu (BioNLP@ACL, 2024)

Me LLaMA: Foundation Large Language Models for Medical Applications. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xingyu Zhou; Huan He; et al. (CoRR, 2024)

Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning. - Cheng Peng 009; Zehao Yu 001; Kaleb E. Smith; Wei-Hsuan Lo-Ciganic; Jiang Bian 001; Yonghui Wu (CoRR, 2024)

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Zehao Yu 001; Kaleb E. Smith; Anthony B. Costa; Mona G. Flores; Jiang Bian 001; Yonghui Wu (J. Am. Medical Informatics Assoc., 2024)

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. - Cheng Peng 009; Xi Yang 015; Kaleb E. Smith; Zehao Yu 001; Aokun Chen; Jiang Bian 001; Yonghui Wu (J. Biomed. Informatics, 2024)

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. - Zehao Yu 001; Cheng Peng 009; Xi Yang 015; Chong Dang; Prakash Adekkanattu; Braja Gopal Patra; Yifan Peng 002; Jyotishman Pathak; Debbie L. Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic; Thomas J. George; et al. (J. Biomed. Informatics, 2024)

ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning. - Cheng Peng 009; Yangyang Li 001; Ronghua Shang; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Medical foundation large language models for comprehensive text analysis and beyond. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xinyu Zhou; Lingfei Qian; et al. (npj Digit. Medicine, 2025)