Author

Li Z

Beijing Institute of TechnologyORCID 0000-0003-2304-923XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1

Frequent Co-Authors

Qing Li· 1 shared Xia WuiD· 1 shared Zhaodi Pei· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Qing Li

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1 paper

Recent·Most cited

NeuroscienceIEEE International Conference on Acoustics Speech and Signal ProcessingPeer-reviewedApr 21, 2026

A UNIVERSAL FRAMEWORK FOR DISENTANGLING SUBJECT-SPECIFIC SIGNATURES IN EEG SIGNALS

Zhaodi Pei, Li Z, Qing Li, Xia Wu

This paper introduces a neural framework to separate subject-specific features from transient brain states in EEG signals, showing improved accuracy in biometric recognition.

DOI 10.1109/icassp55912.2026.11464015

electronic health recordsdeep learning

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