Author

Hongfang Liu

The University of Texas at AustinORCID 0000-0003-2570-3741Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:graph neural network· 1 Organism:human· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Arif Harmanci· 1 shared Cynthia JuiD· 1 shared hui li· 1 shared Jianlian Wang· 1 shared jinlian Wang· 1 shared Xinghua Wang· 1 shared Yankai WeniD· 1 shared Zijian Zhang· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

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1 shared paperBioinformatics

Arif Harmanci

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 19, 2026

RDEmbed: A Sentence-Embedding Framework for Rare Disease Phenotype Representation and Phenotypic Similarity Analysis

Xinghua Wang, Jianlian Wang, Zijian Zhang…·Arif Harmanci

RDEmbed uses sentence embeddings to analyze rare disease phenotypes from clinical text, outperforming ontology-based methods in similarity analysis and clustering.

DOI 10.64898/2026.10.16.759399

humanelectronic health records

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BioinformaticsbioRxivPreprintDec 19, 2025

TRIO-AI: Hybrid temporal graph, ODE, and VAE modeling for high-resolution cellular trajectory inference in liver injury

hui li, jinlian Wang, Yankai Wen…·Cynthia Ju

TRIO-AI identifies a transitional macrophage population in liver injury using a hybrid model of temporal graphs, ODEs, and VAEs, revealing key signaling pathways and spatial localization.

DOI 10.64898/2025.12.17.694956

mousescRNA-seq

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