Author

Yilai Li

ByteDance (China)ORCID 0000-0002-6280-8019Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:cryo-EM· 2 Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Jing YuaniD· 2 shared Quanquan GuiD· 2 shared Yi ZhouiD· 2 shared Amit SingeriD· 1 shared Carlos Óscar S. SorzanoiD· 1 shared David HerrerosiD· 1 shared David Silva-SáncheziD· 1 shared Eduardo R. Cruz-ChúiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

Jing YuanORCID

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2 papers

Recent·Most cited

A Generative Foundation Model for Cryo-EM Densities

Yilai Li, Jing Yuan, Yi Zhou, Zhenghua Wang, S. C. Chen, Fengyu Yang, Haibin Ling, Shahar Z. Kovalsky, Xiaoqing Zheng, Quanquan Gu

This paper introduces cryoFM, a generative foundation model for cryo-EM densities that improves reconstruction and refinement by combining data-driven priors with dataset-specific constraints.

bioRxiv · Dec 29, 2025 · PreprintBiophysics

The Inaugural Flatiron Institute Cryo-EM Conformational Heterogeneity Challenge

Miro A. Astore, Geoffrey Woollard, David Silva-Sánchez, Wenda Zhou, Mykhailo Kopylov, Khanh Dao Duc, Roy R. Lederman, Yilai Li, Yi Zhou, Jing Yuan, Fei Ye, Quanquan Gu, Rémi Vuillemot, Slavica Jonić, Lan Dang, , Sonya M. Hanson

The paper presents a cryo-EM conformational heterogeneity challenge to evaluate and improve methods for analyzing molecular motions in heterogeneous samples.

bioRxiv · Jul 18, 2025 · PreprintBiophysics