Author

Yuxing Hao

Dalian University of TechnologyORCID 0000-0003-1072-4670Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:dimensionality reduction· 2 Assay:imaging· 2 Research Focus:batch correction / integration· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Fengyu CongiD· 3 shared Huanjie LiiD· 2 shared Lisa D. H. NickersoniD· 2 shared Tommi KärkkäineniD· 2 shared Chenwei YaniD· 1 shared Dongyue ZhouiD· 1 shared Guanghui ZhangiD· 1 shared Guoqiang HuiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersNeuroscience

Fengyu CongORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintJan 28, 2026

Task-Dependent Effects of Channel Density on Multivariate Pattern Analysis and Spatial Representational Similarity Analysis: Evidence from Three EEG Datasets

Limin Hou, Guanghui Zhang, Yuxing Hao…·Fengyu Cong

The paper evaluates how electrode density affects EEG decoding and RSA across three cognitive tasks, finding task-dependent impacts and suggesting low-density setups can be sufficient.

DOI 10.64898/2026.01.26.701731

electronic health recordsstatistical model

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NeurosciencebioRxivPreprintApr 26, 2023

Site effects depth denoising and signal enhancement using dual-projection based ICA model

Yuxing Hao, Huashuai Xu, Mingrui Xia…·Fengyu Cong

This paper introduces a dual-projection based ICA denoising method to remove scanner/site effects in multi-site MRI data, showing improved performance over traditional ICA and GLM methods.

2 citations

imagingstatistical model

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NeuroscienceNeuroImagePeer-reviewedApr 8, 2022

Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data

Guoqiang Hu, Huanjie Li, Wei Zhao…·Fengyu Cong

This paper introduces a tensor component analysis framework to identify shared brain networks across subjects during naturalistic stimuli, improving reproducibility and capturing individual differences.

20 citations

humanimaging

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