Author

Ji Yi Wu

Tsinghua UniversityORCID 0000-0001-6170-726XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

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Erzhuo ShaoiD· 1 shared Yaosen MiniD· 1 shared Yingheng WangiD· 1 shared

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2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Erzhuo ShaoORCID

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1 paper

Recent·Most cited

BioinformaticsIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 9, 2021

Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations

Yingheng Wang, Yaosen Min, Erzhuo Shao, Ji Yi Wu

This paper introduces MolCLE, a molecular graph contrastive learning framework with parameterized explainable augmentations, which outperforms baselines on real-world datasets with fewer parameters.

16 citationstop 4%

contrastive learningdeep learning

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