Author

Yiqing Zhang

Beijing Institute of TechnologyPrimary ORCID profile (0009-0007-2243-5100 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Yiqing ZhangiD1 paper · University of Georgia

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Fan XuiD· 2 shared Lirong QiuiD· 2 shared Tailong CheniD· 2 shared Yuyuan QiaoiD· 2 shared Hao-Cheng GaoiD· 1 shared Jian Cao· 1 shared Jianli LiuiD· 1 shared Jianli LiuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBiophysics

Fan XuORCID

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2 papers

Recent·Most cited

Bayesian in situ point spread function modeling enables high-fidelity three-dimensional nanoscopy in deep tissue

Jian Cao, Yiwen Li, Yuyuan Qiao, Tailong Chen, Yiqing Zhang, Hao-Cheng Gao, Junyi Zhang, Lirong Qiu, Jianli Liu, Fan Xu

This paper introduces Bayesian in situ PSF modeling to improve 3D nanoscopy in deep tissue by accounting for optical distortions and uncertainties in PSF estimation.

bioRxiv · Oct 28, 2026 · PreprintBiophysics

DeepSRFusion: a point cloud deep learning framework for super-resolution particle fusion

Yuyuan Qiao, Jiarui Wang, Jiayi Xi, Jixiang Ding, Tailong Chen, Yiqing Zhang, Lirong Qiu, Weidong Zhao, Jianli Liu, Fan Xu

DeepSRFusion improves super-resolution particle fusion for structural biology by addressing rotational perturbations and sparse labeling with a self-supervised framework, achieving high resolution and speed.

bioRxiv · Mar 1, 2026 · PreprintBiophysics