Author

Ziyue Yi

Southeast UniversityORCID 0000-0003-4816-9270Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Nao Ma· 1 shared Yuanbo Ao· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Nao Ma

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2 papers

Recent·Most cited

BioinformaticsBiologyPeer-reviewedDec 29, 2025

LazyNet: Interpretable ODE Modeling of Sparse CRISPR Single-Cell Screens Reveals New Biological Insights

Ziyue Yi, Nao Ma, Yuanbo Ao

LazyNet is a neural-ODE model for CRISPR single-cell screens that provides interpretable mechanistic insights and competitive performance on neuronal and T-cell datasets.

2 citations

humanCRISPR screen

𝕏 PostBluesky

Systems BiologyMathematical and Computational ApplicationsPeer-reviewedApr 27, 2025

Integrating Equation Coding with Residual Networks for Efficient ODE Approximation in Biological Research

Ziyue Yi

This paper introduces LazyNet, a model using ResNet with logarithmic/exponential functions to approximate ODEs in biological systems, improving efficiency and reducing reliance on large datasets.

1 citation

statistical modelmachine learning (classical)

𝕏 PostBluesky