Author

Xiaomeng Li

Hong Kong University of Science and TechnologyORCID 0000-0003-1105-8083Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiaomeng Li1 paper · University of Strathclyde

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aagam ShethiD· 1 shared Agustín Andrés CorbatiD· 1 shared Alexander KrulliD· 1 shared Anna H. KlemmiD· 1 shared Anna KreshukiD· 1 shared Arrate Muñoz‐BarrutiaiD· 1 shared Beatriz Serrano‐SolanoiD· 1 shared Benjamin SalmoniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aagam ShethORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 30, 2026

AI4Life Open Calls and Public Challenges: why, how, and what we have learned.

Vera Galinova, Mehdi Seifi, Beatriz Serrano‐Solano…·J.R. Deschamps

The paper discusses AI4Life's Open Calls and Public Challenges, highlighting the state of bioimage analysis, tool availability, and the need for better data and infrastructure.

DOI 10.64898/2026.07.21.739486

imagingbenchmark study

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BioinformaticsbioRxivPreprintJan 18, 2022

SERM: a self-consistent deep learning solution forrapid and accurate gene expression recovery

Md Tauhidul Islam, Jen‐Yeu Wang, Hongyi Ren…·Lei Xing

SERM improves gene expression imputation in scRNA-seq data with higher accuracy and 100-fold faster computation than existing methods.

DOI 10.1101/2022.01.18.476789

scRNA-seqdeep learning

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