RESurv: A Deep Survival Analysis Model to Reveal Population Heterogeneity by Individual Risk. - Qiguang Zheng; Qifan Shen; Xin Su; Kuo Yang; Zixin Shu; Xuezhong Zhou (BIBM, 2022)

A optimization framework for herbal prescription planning based on deep reinforcement learning. - Kuo Yang; Zecong Yu; Xin Su; Xiong He; Ning Wang 048; Qiguang Zheng; Feidie Yu; Zhuang Liu; Tiancai Wen; Xuezhong Zhou (CoRR, 2023)

SympGAN: A systematic knowledge integration system for symptom-gene associations network. - Kezhi Lu; Kuo Yang; Hailong Sun 007; Qian Zhang; Qiguang Zheng; Kuan Xu; Jianxin Chen; Xuezhong Zhou (Knowl. Based Syst., 2023)

DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learning. - Kuo Yang; Yuxia Yang; Shuyue Fan; Jianan Xia; Qiguang Zheng; Xin Dong; Jun Liu; Qiong Liu; Lei Lei; Yingying Zhang; Bing Li; Zhuye Gao; et al. (Briefings Bioinform., 2023)

Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis. - Qiguang Zheng; Qifan Shen; Zixin Shu; Kai Chang; Kunyu Zhong; Yuhang Yan 004; Jia Ke; Jingjing Huang; Rui Su; Jianan Xia; Xuezhong Zhou (Int. J. Medical Informatics, 2024)

A Latent Fingerprint in the Wild Database. - Xinwei Liu 001; Kiran B. Raja; Renfang Wang; Hong Qiu; Hucheng Wu; Dechao Sun; Qiguang Zheng; Nian Liu; Xiaoxia Wang; Gehang Huang; Raghavendra Ramachandra; Christoph Busch 001 (IEEE Trans. Inf. Forensics Secur., 2024)

DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction. - Haoyu Tian; Xiong He; Kuo Yang; Xinyu Dai; Yiming Liu; Fengjin Zhang; Zixin Shu; Qiguang Zheng; Shihua Wang; Jianan Xia; Tiancai Wen; Baoyan Liu; et al. (BMC Medical Informatics Decis. Mak., 2024)