Author

Wenbo Wang

Hamilton CollegeORCID 0000-0001-8275-1067Unclaimed ORCID profile · follow to get notified of new preprints

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Wenbo Wang3 papers · Beijing Normal University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Cong QiiD· 2 shared Zhi WeiiD· 2 shared Hanzhang Fang· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Cong QiORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedAug 1, 2026

When Multimodal Fusion Fails: Contrastive Alignment as a Necessary Stabilizer for TCR--Peptide Binding Prediction

Cong Qi, Wenbo Wang, Hanzhang Fang, Zhi Wei

The paper shows that naive fusion of sequence and graph modalities in TCR-peptide binding prediction can degrade performance and introduces TRACE, a contrastive alignment method that stabilizes multimodal learning.

DOI 10.1093/bioinformatics/btag573

protein sequencecontrastive learning

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BioinformaticsbioRxivPreprintDec 2, 2025

Modeling TCR-pMHC Binding with Dual Encoders and Cross-Attention Fusion

Wenbo Wang, Cong Qi, Zhi Wei

This paper introduces TIDE, a dual-encoder framework using cross-attention fusion to predict TCR-pMHC binding, achieving better accuracy than existing methods on benchmark datasets.

1 citation

protein sequencedeep learning

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