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Zhangni Pu

4 papers hereh-index 310 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.ST2
  • stat.ML2

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedThe Asymptotic Properties of the Extreme Eigenvectors of High-dimensional Generalized Spiked Covariance Model

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2025

Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis

Yonghan Zhang, Zhangni Pu, Lu Yan +1

Regularized linear discriminant analysis (RLDA) is a widely used tool for classification and dimensionality reduction, but its performance in high-dimensional scenarios is inconsis…

stat.ML2022

Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model

Hua Li, Wenya Luo, Zhidong Bai +2

This paper proposes an improved linear discriminant analysis called spectrally-corrected and regularized LDA (SRLDA). This method integrates the design ideas of the sample spectral…

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