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Rui Zeng

7 papers hereh-index 6246 citations13 works total

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

author position
  • first author1
  • middle author5

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • eess.SY4
  • cs.CV2
  • cs.LG1
same name
  • Rui Zeng — 7 papers, h 9
  • Rui Zeng — 6 papers, h 3
  • Rui Zeng — 5 papers, h 5
  • Rui Zeng — 2 papers, h 5
  • Rui Zeng — 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

most citedKernel principal component analysis network for image classification

8 citations · 15 across the 7 of their papers we have counts for

collaborators
Showing eess.SYShow all

4 papers · 1 filter

eess.SY2015★ 1 cited

Error Gradient-based Variable-Lp Norm Constraint LMS Algorithm for Sparse System Identification

Yong Feng, Fei Chen, Rui Zeng +2

Sparse adaptive filtering has gained much attention due to its wide applicability in the field of signal processing. Among the main algorithm families, sparse norm constraint adapt…

eess.SY2015★ 4 cited

Gradient Compared Lp-LMS Algorithms for Sparse System Identification

Yong Feng, Jiasong Wu, Rui Zeng +2

In this paper, we propose two novel p-norm penalty least mean square (Lp-LMS) algorithms as supplements of the conventional Lp-LMS algorithm established for sparse adaptive filteri…

eess.SY2015

p-norm-like Constraint Leaky LMS Algorithm for Sparse System Identification

Yong Feng, Rui Zeng, Jiasong Wu

In this paper, we propose a novel leaky least mean square (leaky LMS, LLMS) algorithm which employs a p-norm-like constraint to force the solution to be sparse in the application o…

eess.SY2015★ 1 cited

p Norm Constraint Leaky LMS Algorithm for Sparse System Identification

Yong Feng, Rui Zeng, Jiasong Wu

This paper proposes a new leaky least mean square (leaky LMS, LLMS) algorithm in which a norm penalty is introduced to force the solution to be sparse in the application of system…

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