Author

Yatao Bian

National University of SingaporeORCID 0000-0002-2368-4084Unclaimed 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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Approach:deep learning· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Cheng ChangiD· 1 shared Fan YangiD· 1 shared Haidong LaniD· 1 shared Jianhua YaoiD· 1 shared Jiaxiang WuiD· 1 shared Jingjie ZhangiD· 1 shared Jun Zhu· 1 shared Junzhou HuangiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Cheng ChangORCID

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2 papers

Recent·Most cited

MolSpecFlow: Mass-Constrained Hybrid Flow Matching for Joint Molecular-Spectral Analysis

Yu Wang, Fan Yang, Kaikun Xu, Li Yuan, Jun Zhu, Jingjie Zhang, Zhenchao Tang, Yatao Bian, Cheng Chang, Yonghong Tian, Jianhua Yao

MolSpecFlow bridges the gap between molecules and mass spectra using a hybrid flow matching model, achieving state-of-the-art results in de novo generation and spectral simulation.

bioRxiv · Feb 1, 2026 · PreprintBioinformatics

SE(3)-Equivariant Energy-based Models for End-to-End Protein Folding

Jiaxiang Wu, Tao Shen, Haidong Lan, Yatao Bian, Junzhou Huang

This paper introduces SE(3)-Fold, an end-to-end protein folding method using SE(3)-equivariant energy-based models, achieving comparable accuracy to state-of-the-art methods with significant speed improvements.

bioRxiv · Jun 6, 2021 · PreprintBioinformatics