Author

Feijuan Huang

Shenzhen Technology 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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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Yuanzhe Cai· 2 shared Bingding HuangiD· 1 shared Qingyang Lan· 1 shared Rui He· 1 shared Shibo Liang· 1 shared Xin WangiD· 1 shared Xu WangiD· 1 shared Yuchuan WangiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Yuanzhe Cai

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2 papers

Recent·Most cited

BioinformaticsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Peer-reviewedJul 24, 2023

Kmer-Node2Vec: a Fast and Efficient Method for Kmer Embedding from the Kmer Co-occurrence Graph, with Applications to DNA Sequences

Zhaochong Yu, Zihang Yang, Qingyang Lan…·Yuanzhe Cai

The paper introduces Kmer-Node2Vec, a fast graph-based method for kmer embedding in DNA sequences, achieving faster training times than DNA2Vec while maintaining comparable accuracy.

6 citationstop 2%

whole-genome sequencinggraph neural network

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BioinformaticsInternational Conference on Communications, Computing and Artificial Intelligence (CCCAI)Peer-reviewedJun 1, 2023

A benchmark study of protein folding algorithms on nanobodies

Shibo Liang, Ziquan Liang, Zecheng Wu…·Xin Wang

The paper benchmarks five deep-learning-based protein folding algorithms on nanobody sequences to compare their accuracy against experimental structures.

6 citationstop 3%

protein structuredeep learning

𝕏 PostBluesky