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Wenjing Liao

33 papers hereh-index 201.6k citations52 works total

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

author position
  • sole author1
  • first author3
  • middle author15
  • last author14

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.IT10
  • stat.ML8
  • math.NA6
  • cs.LG5
  • physics.optics2
  • math.ST1
same name
  • Wenjing Liao — 11 papers, h 4
  • Wenjing Liao — 9 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112023
most citedPhase Retrieval with Random Phase Illumination

66 citations · 375 across the 33 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 3 cited

Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery

Minshuo Chen, Haoming Jiang, Wenjing Liao +1

Real world data often exhibit low-dimensional geometric structures, and can be viewed as samples near a low-dimensional manifold. This paper studies nonparametric regression of Höl…

cs.IT2019★ 2 cited

Conditioning of restricted Fourier matrices and super-resolution of MUSIC

Weilin Li, Wenjing Liao

This paper studies stable recovery of a collection of point sources from its noisy M+1 low-frequency Fourier coefficients. We focus on the super-resolution regime where the minim…

cs.IT2019★ 4 cited

Super-resolution limit of the ESPRIT algorithm

Weilin Li, Wenjing Liao, Albert Fannjiang

The problem of imaging point objects can be formulated as estimation of an unknown atomic measure from its M+1 consecutive noisy Fourier coefficients. The standard resolution of…

math.NA2019★ 22 cited

IDENT: Identifying Differential Equations with Numerical Time evolution

Sung Ha Kang, Wenjing Liao, Yingjie Liu

Identifying unknown differential equations from a given set of discrete time dependent data is a challenging problem. A small amount of noise can make the recovery unstable, and no…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.