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Email

fuyi.li@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
Department of Microbiology and Immunology
Education
Doctorate
Monash University
ORCID

0000-0001-5216-3213

Dr Fuyi Li

Honorary (Fellow)
Department of Microbiology and Immunology

108 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Graph-based RNA structural representation reveals determinants of subcellular localization
    DOI: 10.1093/bib/bbag325
  • 2026

    Journal article

    GatorSC: multi-scale cell and gene graphs with mixture-of-experts fusion for single-cell transcriptomics
    DOI: 10.1093/bib/bbag330
  • 2026

    Journal article

    Comprehensive review and assessment of multi-species splicing variant prediction: task-specific deep learning models and genomic foundation models
    DOI: 10.1093/bib/bbag329
  • 2026

    Journal article

    pH-Sensitive Metal–Organic Frameworks for the Improved Inhibition of HepG2 Cell via Folate Receptor-Mediated Targeting and Cascaded CDT Effect
    DOI: 10.1002/adhm.202504093
  • 2026

    Journal article

    A unified framework for multiomics deconvolution
    DOI: 10.1038/s41592-026-03008-x
  • 2026

    Journal article

    Drug screening for α-synuclein aggregation inhibitors via multimodal graph neural network
    DOI: 10.1093/bib/bbag118
  • 2021

    Journal article

    Porpoise: a new approach for accurate prediction of RNA pseudouridine sites
    DOI: 10.1093/bib/bbab245
Fuyi Li

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Development of levulinic Acid/L-Proline DES-functionalized Fe3O4 nanoparticles for high-performance extraction of flavonoids from Scutellaria Radix
    DOI: 10.1016/j.lwt.2026.119176
  • 2026

    Journal article

    LncTracker: A Unified Multi-Channel Framework for Multi-Label lncRNA Localization
    DOI: 10.1109/JBHI.2025.3597589
  • 2026

    Journal article

    Artificial intelligence in antibiotic discovery: Applications, challenges, and future outlook
    DOI: 10.1016/j.celbio.2026.100445
  • 2025

    Journal article

    A scalable equivariant graph network framework for precise protein function prediction
    DOI: 10.1186/s13059-025-03886-y

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We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

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