Author

Hao Qiu

Huazhong University of Science and TechnologyPrimary ORCID profile (0000-0003-2292-8056 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Hao QiuiD1 paper · BGI Research, Wuhan

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Hui ChongiD· 1 shared Kai KangiD· 1 shared Kang NingiD· 1 shared Xuefeng CuiiD· 1 shared Yuguo ZhaiD· 1 shared Yuzheng DuniD· 1 shared Zhixue CheniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 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

Hui ChongORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Ontology-Aware Deep Learning Enables Ultrafast, Accurate and Interpretable Source Tracking among Sub-Million Microbial Community Samples from Hundreds of Niches

Yuguo Zha, Hui Chong, Hao Qiu, Kai Kang, Yuzheng Dun, Zhixue Chen, Xuefeng Cui, Kang Ning

This paper introduces ONN4MST, a deep learning method for microbial source tracking that achieves high accuracy and speed across large datasets of microbial communities.

Genome Medicine · Apr 26, 2022Peer-reviewedBioinformatics