Author

Haiteng Zhao

Peking University

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Chang MaiD· 2 shared Qi LiuiD· 2 shared Hannan XuiD· 1 shared Jiayi Xin· 1 shared Jie FuiD· 1 shared Lijun WuiD· 1 shared Lingpeng KongiD· 1 shared Lingpeng KongiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Chang MaORCID

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2 papers

Recent·Most cited

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning

Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi‐Hong Deng, Lingpeng Kong, Qi Liu

GIMLET is a graph-text model that uses natural language instructions for zero-shot molecule property prediction, outperforming baselines and approaching supervised models.

bioRxiv · May 30, 2023 · PreprintBioinformatics

Retrieved Sequence Augmentation for Protein Representation Learning

Chang Ma, Haiteng Zhao, Linjin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Lu Yang, Qi Liu, Lingpeng Kong

This paper introduces a method to improve protein representation learning by retrieving and integrating similar sequences without alignment, achieving faster and more accurate predictions than traditional methods.

bioRxiv · Feb 22, 2023 · PreprintBioinformatics