Author

Jiawei Zhang

Westlake UniversityORCID 0000-0002-8091-5045Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jiawei Zhang2 papers · University of California, Davis

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:software / tool· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Fajie YuaniD· 2 shared Jin SuiD· 2 shared Tianli Tao· 2 shared Xibin ZhouiD· 2 shared An‐Ping ZengiD· 1 shared Anthony GitteriD· 1 shared Anum Azam GlasgowiD· 1 shared Caixia GaoiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Fajie YuanORCID

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Author profile →

3 papers

Recent·Most cited

Democratizing Protein Language Model Training, Sharing and Collaboration

Jin Su, Zhikai Li, Tianli Tao, Chenchen Han, Yan He, Fengyuan Dai, Qingyan Yuan, Yuan Gao, Tong Si, Xuting Zhang, Yuyang Zhou, Junjie Shan, Xibin Zhou, Xing Chang, Shiyu Jiang, , Sergey Ovchinnikov

The paper introduces SaprotHub, a platform that simplifies training and sharing of protein language models, enabling non-experts to build and collaborate on customized models.

Nature Biotechnology · Oct 24, 2025Peer-reviewedBioinformatics

PRIME: A Multi-Agent Environment for Orchestrating Dynamic Computational Workflows in Protein Engineering

Yuyang Zhou, Jin Su, Jiawei Zhang, Wangyang Hu, Tianli Tao, Guanqi Li, Xibin Zhou, Li Fan, Fajie Yuan

PRIME is a multi-agent system that dynamically synthesizes computational workflows for protein engineering, outperforming existing AI agents in complex tasks.

bioRxiv · Sep 22, 2025 · PreprintBioinformatics

Multi-task learning for single-cell multi-modality biology

Xin Tang, Jiawei Zhang, Yichun He, Xinhe Zhang, Zuwan Lin, Sebastian Partarrieu, Emma Bou Hanna, Zhaolin Ren, Yuhong Yang, Xiao Wang, Na Li, Jie Ding, Jia Liu B

This paper introduces UnitedNet, a multi-task deep learning model for analyzing single-cell multi-modality data, showing improved performance in joint group identification and cross-modal prediction.

bioRxiv · Jun 3, 2022 · PreprintGenomics