Author

Ming Zhang

Peking UniversityORCID 0000-0002-9809-3430Unclaimed ORCID profile · follow to get notified of new preprints

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Ming Zhang3 papers · Hangzhou Normal University

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:software / tool· 2 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Sheng WangiD· 3 shared Hanwen XuiD· 2 shared Junwei YangiD· 2 shared Srbuhi Mirzoyan· 2 shared Zhiping XiaoiD· 2 shared Bin FengiD· 1 shared Gongbo Sun· 1 shared Han Zhang· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Sheng WangORCID

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3 papers

Recent·Most cited

A multi-agent system for spine MRI report generation from multi-sequence imaging

Zhiping Xiao, Junwei Yang, Gongbo Sun, Han Zhang, Hanwen Xu, Yi Yao, Zachary D. Miller, William E. King, Mohammed M Kanani, Jalal B. Andre, Sammy Chu, Ming Zhang, Paul E. Kinahan, Nathan M. Cross, Sheng Wang

SpineAgent generates spine MRI reports by integrating multi-sequence data using a multi-agent framework, achieving state-of-the-art performance and strong generalizability.

bioRxiv · Jun 11, 2026 · PreprintBioinformatics

Poisoning scientific knowledge using large language models

Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Wei Ju, Luchen Liu, Ming Zhang, Sheng Wang

This paper demonstrates how large language models can generate malicious abstracts to poison scientific knowledge graphs and manipulate downstream biological applications.

bioRxiv · Nov 6, 2023 · PreprintBioinformatics

A foundation model for bioactivity prediction using pairwise meta-learning

Bin Feng, Zequn Liu, Nanlan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang

ActFound is a foundation model for bioactivity prediction trained on 2.3 million compounds and 50,869 assays, showing strong generalization and performance comparable to FEP+(OPLS4).

bioRxiv · Oct 30, 2023 · PreprintBioinformatics