Author

Zhaochang Yang

Shanghai Jiao Tong UniversityORCID 0000-0002-1378-6044Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1

Frequent Co-Authors

Ruitian GaoiD· 2 shared Xin YuaniD· 2 shared Zhangsheng YuiD· 2 shared Bingyan Zheng· 1 shared Jie ZhouiD· 1 shared Ting WeiiD· 1 shared Yansong Tu· 1 shared Yifan WangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Ruitian GaoORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedApr 15, 2026

Features fusion or not: harnessing multiple pathological foundation models using Meta-Encoder for downstream tasks fine-tuning

Ruitian Gao, Zhaochang Yang, Xin Yuan…·Zhangsheng Yu

The paper introduces Meta-Encoder, a framework that combines multiple pathological foundation models to improve downstream task performance in computational pathology.

3 citationstop 2%

spatial transcriptomicsbulk RNA-seq

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PathologyNature CommunicationsPeer-reviewedMar 10, 2025

A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images

Zhaochang Yang, Ting Wei, Ying Liang…·Zhangsheng Yu

This paper introduces BEPH, a lightweight foundation model for cancer diagnosis and survival prediction from histopathological images, showing improved performance over existing models with limited data.

110 citationstop 1%

humanimaging

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