Author

Daoqiang Zhang

Nanjing University of Aeronautics and AstronauticsORCID 0000-0002-5658-7643Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Muhammad YousefnezhadiD· 2 shared

Activity by Year

2017-2017 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsCognitive ComputationPeer-reviewedOct 12, 2017

Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains

Muhammad Yousefnezhad, Daoqiang Zhang

This paper introduces a novel neural representation model for decoding visual stimuli from fMRI data, achieving superior performance over existing methods.

16 citations

humanimaging

𝕏 PostBluesky

NeuroscienceProceedings of the AAAI Conference on Artificial IntelligencePeer-reviewedFeb 10, 2017

Local Discriminant Hyperalignment for multi-subject fMRI data alignment

Muhammad Yousefnezhad, Daoqiang Zhang

This paper introduces LDHA, a supervised hyperalignment method for multi-subject fMRI data that improves performance in multivariate pattern analysis by incorporating local discriminant analysis.

4 citations

statistical modelcontrastive learning

𝕏 PostBluesky