Author

Jianhua Jia

Jingdezhen Ceramic InstituteORCID 0009-0006-6970-6003Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

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:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Kaifeng XiongiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 30, 2026

DUET: a sequence-only ensemble for RNA-small molecule binding-site prediction

Kaifeng Xiong, Jianhua Jia

DUET is a sequence-only ensemble model for RNA-small molecule binding-site prediction that outperforms existing methods on benchmark datasets.

DOI 10.64898/2026.10.28.762699

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 17, 2026

TriTower-m6Am: a triple-tower heterogeneous deep learning architecture integrating semantic, sequential, and structural information for N6,2-O-dimethyladenosine site prediction

Kaifeng Xiong, Jianhua Jia

TriTower-m6Am improves m6Am site prediction by integrating semantic, sequential, and structural RNA features, achieving higher sensitivity than existing methods.

DOI 10.64898/2026.08.13.744628

proteomicsdeep learning

𝕏 PostBluesky