Author

Yuliang Jiang

Tsinghua UniversityORCID 0009-0000-2943-4601Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yuliang Jiang1 paper · Shandong Agricultural University

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Haiguang LiuiD· 2 shared Liang HeiD· 2 shared Tie‐Yan LiuiD· 2 shared Chengping LiiD· 1 shared Chengyue Huang· 1 shared Chuan CaoiD· 1 shared Chuanbao CaoiD· 1 shared Chuyue TangiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Haiguang LiuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 22, 2025

Illuminating the Virosphere's Dark Matter using Hierarchical Deep Learning

Chuanbao Cao, Liang He, Chengping Li…·Tie‐Yan Liu

DeepVirus identifies and classifies viral dark matter in metagenomic data using a hierarchical transformer framework, revealing novel viral lineages and expanding known RNA virus diversity.

DOI 10.1101/2025.09.22.677955

metagenomicsdeep learning

𝕏 PostBluesky

Synthetic BiologyNature Machine IntelligencePeer-reviewedSep 8, 2025

Accelerating protein engineering with fitness landscape modeling and reinforcement learning

Haoran Sun, Liang He, Pan Deng…·Tie‐Yan Liu

The paper introduces {micro}Protein, a framework combining deep learning and reinforcement learning to predict and discover high-gain protein mutants using single mutation data.

16 citationstop 3%

protein sequencedeep learning

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