Lithium-ion battery capacity prediction based on grey neural network model. - Lu Han; Xianjun Shi; Jiapeng Lv; Yuyao Zhai; Houjun Liu; Taoyu Wang (AIIPCC, 2019)

Testability modeling method based on MSFG-BN composite model. - Lu Han; Xianjun Shi; Yuyao Zhai; Jiapeng Lv; Yufeng Qin; Taoyu Wang (CACRE, 2020)

Direct interaction network inference for compositional data via codaloss. - Liang Chen; Shun He; Yuyao Zhai; Minghua Deng (J. Bioinform. Comput. Biol., 2020)

Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptation. - Liang Chen; Qiuyan He; Yuyao Zhai; Minghua Deng (Bioinform., 2021)

Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data. - Yuyao Zhai; Liang Chen; Minghua Deng (AAAI, 2023)

Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data. - Yuyao Zhai; Liang Chen; Minghua Deng (IJCAI, 2023)

scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery. - Yuyao Zhai; Liang Chen; Minghua Deng (Briefings Bioinform., 2023)

On the $$ alpha $$-spectral radius of unicyclic and bicyclic graphs with a fixed diameter. - Feifei Wang; Hai-Ying Shan; Yuyao Zhai (Comput. Appl. Math., 2023)

Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data. - Yuyao Zhai; Liang Chen; Minghua Deng (IJCAI, 2024)

scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data. - Yuyao Zhai; Liang Chen; Minghua Deng (Briefings Bioinform., 2024)

Intrinsic structure exploitation with dual alignment for universal visual recognition. - Yuyao Zhai; Liang Chen; Minghua Deng (Knowl. Based Syst., 2024)

scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data. - Yuyao Zhai; Liang Chen; Minghua Deng (Briefings Bioinform., 2024)