Quantum Storage Network. - Rigui Zhou; Yongzhong Cao; Shuqun Yang; Xinwei Xu (ICNC (1), 2007)

Process mining-based medical program evolution. - Yongzhong Cao; Junwu Zhu; Yalu Guo; Chen Shi (Comput. Electr. Eng., 2018)

Deep pre-trained networks as a feature extractor with XGBoost to detect tuberculosis from chest X-ray. - Muhammad Rahman 005; Yongzhong Cao; Xiaobing Sun 001; Bin Li 006; Yameng Hao (Comput. Electr. Eng., 2021)

Prediction of medical expenses for gastric cancer based on process mining. - Yongzhong Cao; Yalu Guo; Qiang She; Junwu Zhu; Bin Li 006 (Concurr. Comput. Pract. Exp., 2021)

Depression prediction based on BiAttention-GRU. - Yongzhong Cao; Yameng Hao; Bin Li 006; Jie Xue (J. Ambient Intell. Humaniz. Comput., 2022)

Discovery of medical pathways considering complications. - Yongzhong Cao; Jie Xue; Zhipeng Liu; Bin Li 006 (Comput. Electr. Eng., 2023)

An intrusion detection system based on stacked ensemble learning for IoT network. - Yongzhong Cao; Zhihui Wang; Hongwei Ding; Jiale Zhang 001; Bin Li 006 (Comput. Electr. Eng., 2023)

Radiology Report Generation Based on Multi-Scale Feature Fusion and Enhancement. - Yongzhong Cao; Hongwei Ding; Bin Li 006; Xiaobin Sun; Qiang She; Muhammad Rahman 005 (ISAIR (2), 2024)

A Segmentation-Based Approach for Lung Disease Classification Using Chest X-ray Images. - Muhammad Rahman 005; Yongzhong Cao; Bin Li 006 (ISAIR (1), 2024)

Radiology report generation based on adaptive enhanced fusion of multi features. - Yongzhong Cao; Hongwei Ding; Yiyang Zhang; Yuwen Hei (Comput. Biol. Medicine, 2025)