Author

Liang Hong

Chinese 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.

Same name, identified by ORCID

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:batch correction / integration· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Huawen ZhongiD· 1 shared Irwin KingiD· 1 shared Jiayang CheniD· 1 shared Licheng ZongiD· 1 shared Siyuan CheniD· 1 shared Ting‐Fung ChaniD· 1 shared Wenkai HaniD· 1 shared Xin GaoiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

1 shared paperBioinformatics

Huawen ZhongORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Wenkai Han, Yuqi Cheng, Jiayang Chen, Huawen Zhong, Zhihang Hu, Siyuan Chen, Licheng Zong, Liang Hong, Ting‐Fung Chan, Irwin King, Xin Gao, Yu Li

CLEAR is a self-supervised contrastive learning framework for scRNA-seq that improves clustering, batch correction, and pseudo-time inference by reducing technical noise and heterogeneity.

Briefings in Bioinformatics · Aug 24, 2022Peer-reviewedBioinformatics