Author

Wangzi Yao

Chinese Academy of SciencesORCID 0009-0002-5426-3247Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Chonghe Hao· 2 shared Tielin ZhangiD· 2 shared X S CheniD· 2 shared Bo XuiD· 1 shared Jian ZhangiD· 1 shared Junhua ZhangiD· 1 shared Mu‐ming PooiD· 1 shared Shuncheng JiaiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

Chonghe Hao

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 17, 2026

Incorporation of single-neuron projectome-based connectivity motifs enhances the cortex-specific performance of artificial neural networks

Yue Sun, Wangzi Yao, Jian Zhang…·Tielin Zhang

This paper develops a connectome-informed neural network algorithm that improves RNN and LLM performance by incorporating natural cortical connectivity motifs.

DOI 10.64898/2026.06.12.732007

mousedeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintJun 11, 2026

DigiMus: a connectome-informed spiking framework for multi-region mouse neural-behavior modeling

Yantong Liu, Xinhe Zhang, X S Chen…·Tielin Zhang

DigiMus integrates connectome-derived structural priors into a spiking neural network framework for mouse neural-behavior modeling, showing improved performance in complex tasks.

DOI 10.64898/2026.06.09.731075

mousespatial transcriptomics

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