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researcher

Jie Chen

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV1
  • cs.PF1
  • eess.SP1
  • stat.ML1
ORCID 0000-0003-2306-8860
same name
  • Jie Chen — 6 papers
  • Jie Chen — 5 papers, h 12
  • Jie Chen — 4 papers
  • Jie Chen — 3 papers, h 44
  • Jie Chen — 2 papers
  • Jie Chen — 2 papers, h 3

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
20162020
most citedTransient performance analysis of zero-attracting LMS

42 citations · 46 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2020★ 2 cited

Affine Combination of Diffusion Strategies over Networks

Danqi Jin, Jie Chen, Cedric Richard +2

Diffusion adaptation is a powerful strategy for distributed estimation and learning over networks. Motivated by the concept of combining adaptive filters, this work proposes a comb…

cs.CV2019★ 1 cited

A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation

Min Zhao, Jie Chen, Zhe He

Spectral unmixing is an important and challenging problem in hyperspectral data processing. This topic has been extensively studied and a variety of unmixing algorithms have been p…

stat.ML2016★ 1 cited

On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps

Jie Chen, Dehua Cheng, Yan Liu

Positive-definite kernel functions are fundamental elements of kernel methods and Gaussian processes. A well-known construction of such functions comes from Bochner's characterizat…

cs.PF2016★ 42 cited

Transient performance analysis of zero-attracting LMS

Jie Chen, Cedric Richard, Yingying Song +1

Zero-attracting least-mean-square (ZA-LMS) algorithm has been widely used for online sparse system identification. It combines the LMS framework and ℓ1​-norm regularization to…

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