Author

Zhuo Liang

University of Hong Kong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Lequan YuiD· 2 shared Yuanhua HuangiD· 2 shared Beier Li· 1 shared Fuying WangiD· 1 shared Guangyong CheniD· 1 shared Shumin LiiD· 1 shared Weiqin Zhao· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Lequan YuORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BLOOM: Biologically Informed Flow Matching for Transcriptomic Virtual Embryo Modeling

Zhuo Liang, Shumin Li, Beier Li, Yuanhua Huang, Lequan Yu

BLOOM generates developmental cell-expression distributions across time using conditional flow matching, outperforming baselines in gene and cell-expression correlations.

bioRxiv · Oct 27, 2026 · PreprintBioinformatics

BRIDGE: A Multi-organ Histo-ST Foundation Model Enables Virtual Spatial Transcriptomics for Enhanced Few-shot Cancer Diagnosis

Zhuo Liang, Weiqin Zhao, Fuying Wang, Guangyong Chen, Yuanhua Huang, Lequan Yu

BRIDGE generates virtual spatial transcriptomes from histology images, improving cancer diagnosis accuracy in few-shot settings and outperforming existing models.

bioRxiv · May 8, 2026 · PreprintGenomics