Yuyao Zhai

According to our database, Yuyao Zhai authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data.

Yuyao Zhai, Liang Chen, Minghua Deng

Briefings Bioinform., January, 2024

Intrinsic structure exploitation with dual alignment for universal visual recognition.

Yuyao Zhai, Liang Chen, Minghua Deng

Knowl. Based Syst., 2024

Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data.

Yuyao Zhai, Liang Chen, Minghua Deng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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., June, 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., March, 2023

Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data.

Yuyao Zhai, Liang Chen, Minghua Deng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data.

Yuyao Zhai, Liang Chen, Minghua Deng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

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

2020

Direct interaction network inference for compositional data via codaloss.

Liang Chen, Shun He, Yuyao Zhai, Minghua Deng

J. Bioinform. Comput. Biol., 2020

Testability modeling method based on MSFG-BN composite model.

Lu Han, Xianjun Shi, Yuyao Zhai, Jiapeng Lv, Yufeng Qin, Taoyu Wang

Proceedings of the 5th International Conference on Automation, 2020

2019

Lithium-ion battery capacity prediction based on grey neural network model.

Lu Han, Xianjun Shi, Jiapeng Lv, Yuyao Zhai, Houjun Liu, Taoyu Wang

Proceedings of the International Conference on Artificial Intelligence, 2019