Author

Haiming Zhao

China Agricultural University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Organism:Arabidopsis· 1 Approach:deep learning· 1 Organism:human· 1 Approach:mixed model· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

An YuiD· 1 shared Beibei XiniD· 1 shared Bozhen HuiD· 1 shared Chonghang Ye· 1 shared Fan YangiD· 1 shared Hainan Zhao· 1 shared Jian Chen· 1 shared Jinsheng LaiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

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1 paper

Recent·Most cited

DeepD enables efficient genome modeling and controllable long-context sequence generation across domains of life

Jinsheng Lai, Beibei Xin, Zijian Wang, An Yu, Ziyang Chen, Yucheng Guo, Mingpei Zhang, Bozhen Hu, Chonghang Ye, Jian Chen, Qiujie Liu, Haiming Zhao, Weibin Song, Nanqing Dong, Fan Yang, , Hainan Zhao

DeepD is a genome foundation model that enables accurate sequence-to-function prediction and controllable genome-scale sequence generation across domains of life.

bioRxiv · Oct 18, 2026 · PreprintBioinformatics