Author

Jiayou Zhang

Mohamed bin Zayed University of Artificial IntelligencePrimary ORCID profile (0000-0003-1037-9854 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Jiayou ZhangiD1 paper

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Barthelemy Meynard-PiganeauiD· 1 shared Dawei ZhuiD· 1 shared Eric P. XingiD· 1 shared Hugo Ly· 1 shared James Gong· 1 shared Le SongiD· 1 shared Megh Manoj Bhalerao· 1 shared Sheng WangiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Barthelemy Meynard-PiganeauORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Balancing Locality and Reconstruction in Protein Structure Tokenizer

Jiayou Zhang, Barthelemy Meynard-Piganeau, James Gong, Xingyi Cheng, Yingtao Luo, Hugo Ly, Le Song, Eric P. Xing

This paper introduces a VQ-VAE-based protein structure tokenizer that balances reconstruction and retrieval, improving alignment with sequence models for better structure prediction.

bioRxiv · Dec 2, 2024 · PreprintBioinformatics

GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates

Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Manoj Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang

This paper introduces GraphPrompt, a graph-based prompt learning method for biomedical entity normalization, improving performance on zero-shot and few-shot settings using a curated dataset of entity-synonym pairs.

bioRxiv · Nov 29, 2021 · PreprintBioinformatics