Author

Yilan Bai

Tsinghua UniversityORCID 0000-0003-3283-8177Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Zhi John LuiD· 2 shared Haochen Zhong· 1 shared Hongli MaiD· 1 shared Jianwei MaiD· 1 shared Kebin LiuiD· 1 shared Letian GaoiD· 1 shared Pengfei BaoiD· 1 shared Taiwei WangiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Zhi John LuORCID

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2 papers

Recent·Most cited

BioinformaticsNature Computational SciencePeer-reviewedJun 24, 2025

RNA-ligand interaction scoring via data perturbation and augmentation modeling

Hongli Ma, Letian Gao, Yunfan Jin…·Zhi John Lu

RNAsmol is a sequence-based deep learning framework that predicts RNA-small molecule interactions using data perturbation and augmentation, achieving improved performance over existing methods.

22 citationstop 1%

deep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 23, 2024

OligoFormer: an accurate and robust prediction method for siRNA design

Yilan Bai, Haochen Zhong, Taiwei Wang, Zhi John Lu

OligoFormer improves siRNA design by integrating thermodynamic calculations, RNA-FM module, and Oligo encoder, outperforming existing methods in efficacy and off-target prediction.

32 citationstop 4%

transformer / foundation modelstatistical model

𝕏 PostBluesky