Author

Yingnian Wu

University of California, Los AngelesORCID 0000-0001-5252-7574Unclaimed 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:Bayesian inference· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:statistical model· 1

Frequent Co-Authors

Dong LiuiD· 1 shared Eryn SaleiD· 1 shared Wenhao ZhangiD· 1 shared Yang YuiD· 1 shared Yi ReniD· 1 shared Zhuolang CheniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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6 top collaborators · 7 mutual co-author links

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1 shared paperBioinformatics

Dong LiuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 10, 2026

CoPrimeEEG: CRT-Guided Dual-Branch Reconstruction from Co-Prime Sub-Nyquist EEG

Yang Yu, Dong Liu, Yingnian Wu

CoPrimeEEG reconstructs high-rate EEG from low-rate co-prime samples using a dual-branch neural network with a CRT-guided loss, achieving state-of-the-art quality with fewer parameters.

DOI 10.64898/2026.02.08.704713

electronic health recordsdeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintJul 3, 2025

Natural gradient Bayesian sampling automatically emerges in canonical cortical circuits

Zhuolang Chen, Yi Ren, Eryn Sale…·Wenhao Zhang

The paper shows canonical cortical circuits naturally implement advanced Bayesian sampling algorithms, including natural gradient methods, through nonlinear dynamics and interneuron control.

DOI 10.1101/2025.07.03.663069

statistical modelBayesian inference

𝕏 PostBluesky