Author

Yunlong Bie

Beijing University of Posts and TelecommunicationsORCID 0009-0008-3067-1266Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Assay:scRNA-seq· 2 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Qijin YiniD· 2 shared Bowen Hu· 1 shared Haiguang LiuiD· 1 shared Hechang CheniD· 1 shared Keyi LiiD· 1 shared Pan DengiD· 1 shared Peiran Jin· 1 shared Qiuyi LiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Qijin YinORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 3, 2026

scRep: A Latent-Space Self-Distilled Foundation Model for Single-Cell Representation Learning

Shengjie Wang, Zongyong Hu, Yunlong Bie…·Qiuyi Li

scRep is a foundation model for single-cell representation learning that uses self-distillation in latent space, achieving strong performance without task-specific fine-tuning.

DOI 10.64898/2026.08.31.747784

scRNA-seqdeep learning

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BioinformaticsbioRxivPreprintJun 23, 2026

HoloCell: A Generative Foundation Model for Holistic Cellular Modeling

Qun Jiang, Zhen Li, Bowen Hu…·Qijin Yin

HoloCell is a generative foundation model that integrates epigenomics, transcriptomics, and proteomics data across single-cell multi-omics modalities, demonstrating superior performance in representation learning and cross-modal generation.

1 citation

humanscRNA-seq

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