Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data. - Chunman Zuo; Luonan Chen (Briefings Bioinform., 2021)

Deep cross-omics cycle attention model for joint analysis of single-cell multi-omics data. - Chunman Zuo; Hao Dai; Luonan Chen (Bioinform., 2021)

Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image. - Jinwang Feng; ShaoWu Zhang 001; Luonan Chen; Chunman Zuo; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2022)

Spatial histology and gene-expression representation and generative learning via online self-distillation contrastive learning. - Qianyi Yan; Xuan Li; Jiangnan Cui; Jianming Rong; Jingsong Zhang; Pingting Gao; Yaochen Xu; Fufang Qiu; Chunman Zuo (Briefings Bioinform., 2025)

HLIP: A pan-cancer model for histological image analysis in clinical research using TCGA. - Jianming Rong; Hengjian Zhong; Yiwei Meng; Qiqi Jin; Yijian Zhang; Chunman Zuo (Comput. Biol. Chem., 2025)

HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set. - Jie Hong; Wenju Hou; Nan Sheng; Chunman Zuo; Yan Wang 028 (Expert Syst. Appl., 2025)

Supervised contrastive knowledge graph learning for ncRNA-disease association prediction. - Yan Wang 028; Xuping Xie; Ye Wang; Nan Sheng; Lan Huang 002; Chunman Zuo (Expert Syst. Appl., 2025)

Advanced Cross-Graph Cycle Attention Model for Dissecting Complex Structures in Mass Spectrometry Imaging. - Jiangnan Cui; Yang Gao; Qiu Wang; Xuan Li; Ke-Ren Xu; Zhen-Yu Huang; Jingsong Zhang; Chunman Zuo (J. Comput. Sci. Technol., 2025)