Author

Shizhe Ding

Chinese Academy of SciencesORCID 0000-0002-6964-1362Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:multiple species· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Chungong YuiD· 1 shared Dongbo BuiD· 1 shared Jianquan ZhaoiD· 1 shared Xinru ZhangiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Chungong YuORCID

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1 paper

Recent·Most cited

BioinformaticsMolecular Biology and EvolutionPeer-reviewedOct 23, 2025

Accurate and efficient phylogenetic inference through end-to-end deep learning

Xinru Zhang, Shizhe Ding, Chungong Yu…·Dongbo Bu

This paper introduces NeuralNJ, a deep learning method for phylogenetic inference that improves accuracy and efficiency by using an end-to-end framework and reinforcement learning.

2 citations

multiple speciesdeep learning

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