Author

Jing Yuan

ByteDance (China)ORCID 0009-0003-3980-2457Unclaimed ORCID profile · follow to get notified of new preprints

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Jing Yuan2 papers

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

Quanquan GuiD· 2 shared Yi ZhouiD· 2 shared Yilai LiiD· 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

Quanquan GuORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintDec 29, 2025

A Generative Foundation Model for Cryo-EM Densities

Yilai Li, Jing Yuan, Yi Zhou…·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.

DOI 10.64898/2025.12.29.696802

cryo-EMdeep learning

𝕏 PostBluesky

BiophysicsbioRxivPreprintJul 18, 2025

The Inaugural Flatiron Institute Cryo-EM Conformational Heterogeneity Challenge

Miro A. Astore, Geoffrey Woollard, David Silva-Sánchez…·Sonya M. Hanson

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

4 citations

cryo-EMdeep learning

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