Author

He Wang

Shenzhen Bay LaboratoryORCID 0000-0002-7821-0767Unclaimed ORCID profile · follow to get notified of new preprints

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He Wang3 papers · Stony Brook School

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Jian ZhaniD· 2 shared Xu HongiD· 2 shared Yaoqi ZhouiD· 2 shared Guowei LiiD· 1 shared Hao Zhang· 1 shared Jie CheniD· 1 shared Jiuhong JiangiD· 1 shared Liangsheng Wen· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Jian ZhanORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 12, 2025

ESM-LoRA-Gly: Improved prediction of N- and O-linked glycosylation sites by tuning protein language models with low-rank adaptation (LoRA)

Zhiyong Feng, Xing Ming Zhang, He Wang…·Yaoqi Zhou

ESM-LoRA-Gly improves prediction of N- and O-linked glycosylation sites by fine-tuning ESM2-3B with LoRA, achieving better accuracy and efficiency.

DOI 10.1101/2025.08.12.669850

protein sequencedeep learning

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BioinformaticsbioRxivPreprintAug 9, 2025

RESM: Capturing sequence and structure encoding of RNAs by mapped transfer learning from ESM (evolutionary scale modeling) protein language model

Yikun Zhang, Hao Zhang, Guowei Li…·Yaoqi Zhou

RESM improves RNA sequence-structure-function prediction by transferring knowledge from protein language models, outperforming existing models in multiple tasks.

2 citations

long-read sequencingdeep learning

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