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Zuoqiang Shi

98 papers hereh-index 282.5k citations115 works total

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

author position
  • sole author3
  • first author6
  • middle author37
  • last author51

Across the 97 of 98 papers where every author was matched, so the position is known.

fields
  • cs.LG26
  • math.NA24
  • math.AP12
  • cs.CV9
  • cs.IT7
  • cs.GR5
same name
  • Zuoqiang Shi — 1 paper

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
20072026
most citedNon-line-of-sight imaging with arbitrary illumination and detection pattern

69 citations · 518 across the 94 of their papers we have counts for

collaborators
Showing 2013Show all

4 papers · 1 filter

math.NA2013★ 4 cited

Convergence of the Point Integral method for the Poisson equation with Dirichlet boundary on point cloud

Zuoqiang Shi, Jian Sun

The Poisson equation on manifolds plays an fundamental role in many applications. Recently, we proposed a novel numerical method called the Point Integral method (PIM) to solve the…

cs.IT2013★ 7 cited

Sparse Time Frequency Representations and Dynamical Systems

T. Y. Hou, Z. Shi, P. Tavallali

In this paper, we establish a connection between the recently developed data-driven time-frequency analysis \cite{HS11,HS13-1} and the classical second order differential equations…

cs.IT2013★ 4 cited

Sparse Time-Frequency decomposition by dictionary learning

Thomas Y. Hou, Zuoqiang Shi

In this paper, we propose a time-frequency analysis method to obtain instantaneous frequencies and the corresponding decomposition by solving an optimization problem. In this optim…

math.NA2013

Convergence of a data-driven time-frequency analysis method

Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali

In a recent paper, Hou and Shi introduced a new adaptive data analysis method to analyze nonlinear and non-stationary data. The main idea is to look for the sparsest representation…

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