Author

Xiang Zhang

Pennsylvania State UniversityORCID 0000-0001-5097-2113Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiang Zhang4 papers · Baylor College of Medicine

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 2 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:batch correction / integration· 1

Frequent Co-Authors

Feng HaniD· 2 shared Xiao LiuiD· 2 shared Yameng GuiD· 2 shared Audrey Weber· 1 shared Changfeng CaiiD· 1 shared Chao‐Wei CheniD· 1 shared David A. LeopoldiD· 1 shared Elizabeth C. MorminoiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersNeuroscience

Feng HanORCID

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Author profile →

5 papers

Recent·Most cited

Unlocking Sensitive Data with SPHERE in the Age of AI

Zihuai He, Jun Young Park, Rafael Catoia Pulgrossi, Justin Lee, Robert R. Butler, Audrey Weber, Lü Tian, Xiang Zhang, Julie (Fangran) Wang, Sharon J. Sha, Elizabeth C. Mormino, Tony Wyss‐Coray, Victor W. Henderson, Frank M. Longo, James Zou, , Russ Biagio Altman

SPHERE enables the use of sensitive datasets in AI and open science by creating synthetic twins that preserve statistical properties and privacy.

bioRxiv · Sep 17, 2026 · PreprintBioinformatics

Unlocking biological insight from single-cell data with an interpretable dual-stream foundation model

Honglie Guo, Qinghang Cui, Xiang Zhang, Chao‐Wei Chen, Weihua Zheng, Changfeng Cai, Xinyi Wang, Shunfang Wang

This paper introduces scDMC, a dual-stream foundation model for single-cell data that improves representation learning and achieves state-of-the-art results in cell annotation, clustering, and integration.

Genome biology · Aug 8, 2026Peer-reviewedBioinformatics

Unveiling Cognitive Processes Underlying Depression-like Behaviors in the Force Swim and Tail Suspension Tests

Zhihan Li, Tianyu Lu, Jiaozhao Yan, Xiang Zhang, Yunfeng Li

This paper develops a tool to analyze fine-grained behavior in depression-like tests and finds that cognitive processes differ between the forced swim and tail suspension tests.

bioRxiv · Jan 24, 2025 · PreprintAnimal Behavior & Cognition

Brain activity fluctuations propagate as waves traversing the cortical hierarchy

Yameng Gu, Lucas E Sainburg, Sizhe Kuang, Feng Han, Jack W. Williams, Yikang Liu, Nanyin Zhang, Xiang Zhang, David A. Leopold, Xiao Liu

This study identifies directionally constrained activity waves in human and monkey brain data that align with cortical hierarchy and subcortical structures.

Cerebral Cortex · Feb 26, 2021Peer-reviewedNeuroscience

Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics

Feng Han, Yameng Gu, Gregory L. Brown, Xiang Zhang, Xiao Liu

The paper identifies a cortical hierarchy contrast in brain structure and function that correlates with behavioral and demographic traits.

NeuroImage · Apr 14, 2020Peer-reviewedNeuroscience