Author

Xiao Xiao

Yale University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:graph neural network· 1 Approach:large language model· 1 Organism:mouse· 1

Frequent Co-Authors

Bing HeiD· 1 shared Chenchen QiniD· 1 shared Daniel McGlinn· 1 shared Ethan P White· 1 shared Hongyu ZhaoiD· 1 shared Jianhua YaoiD· 1 shared Jing Bai· 1 shared Justin Kitzes· 1 shared

Activity by Year

2014-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBioinformatics

Bing HeORCID

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3 papers

Recent·Most cited

An Artificial Intelligence Model for Longitudinal Assessment of TCR Repertoires in SARS-CoV-2 Vaccine Recipients

Zhonghuang Wang, Yu Shan Zhao, Xiao Xiao, Bing He, Yanling Sun, Shan Xiong, Chenchen Qin, Zhipeng Zhou, Lianpeng Chang, Jing Bai, Wenming Zhao, Wenhua Liang, Jianhua Yao

The paper develops a large language model to predict SARS-CoV-2-specific TCRs and shows their correlation with antibody levels post-vaccination.

bioRxiv · Sep 18, 2026 · PreprintBioinformatics

Inferring spatial single-cell-level interactions through interpreting cell state and niche correlations learned by self-supervised graph transformer

Xiao Xiao, Le Yuan Zhang, Hongyu Zhao, Zuoheng Wang

GITIII infers cell-cell interactions from spatial transcriptomics data by analyzing cell state and niche correlations using a self-supervised graph transformer model.

Nature Machine Intelligence · Dec 31, 2025Peer-reviewedBioinformatics

Exploring the spatially explicit predictions of the Maximum Entropy Theory of Ecology

Daniel McGlinn, Xiao Xiao, Justin Kitzes, Ethan P White

The paper tests a semi-recursive version of METE's spatial predictions for community similarity decay and finds it over-predicts species turnover compared to a random placement model.

bioRxiv · Sep 2, 2014Ecology