CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients. - Shengjun Zhu; Siyu Liu; Yang Li 168; Qing Lei; Hongyan Hou; Hewei Jiang; Shujuan Guo; Feng Wang 061; Rongshang Chen; Xionglin Fan; Sheng-ce Tao; Jiaxin Cai (CoRR, 2024)

Optimizing Prioritization of Crowdsourced Test Reports of Web Applications through Image-to-Text Conversion. - Lei Xiao; Yunhuan Wu; Rongshang Chen; Hanghai Shi (Symmetry, 2024)

The Feasibility of Applying Prompt Engineering Based on Large Language Models in the Public Domain. - Yu Gao; Lei Xiao; Yuxiang Shen; Rongshang Chen (ISSSR, 2025)

AO-TransUNet: A multi-attention optimization network for COVID-19 and medical image segmentation. - Yang Qi; Jiaxin Cai; Rongshang Chen (Digit. Signal Process., 2025)

Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging. - Yang Qi; Jiaxin Cai; Jing Lu; Runqing Xiong; Rongshang Chen; Liping Zheng; Duo Ma (CoRR, 2025)