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researcher

Shiyuan Wang

4 papers hereh-index 272.3k citations120 works total

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

author position
  • middle author4

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

fields
  • cs.IT3
  • cs.LG1
same name
  • Shiyuan Wang — 5 papers, h 2
  • Shiyuan Wang — 4 papers, h 3
  • Shiyuan Wang — 2 papers, h 3
  • Shiyuan Wang — 1 paper
  • Shiyuan Wang — 1 paper, h 4
  • Shiyuan Wang — 1 paper, 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
20172019
most citedMaximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction

2 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2019★ 2 cited

Broad Learning System Based on Maximum Correntropy Criterion

Yunfei Zheng, Badong Chen, Shiyuan Wang +1

As an effective and efficient discriminative learning method, Broad Learning System (BLS) has received increasing attention due to its outstanding performance in various regression…

cs.IT2018

Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links

Yicong He, Fei Wang, Shiyuan Wang +2

Distributed estimation over networks draws much attraction in recent years. In many situations, due to imperfect information communication among nodes, the performance of tradition…

cs.IT2017★ 1 cited

Diffusion Adaptation Framework for Compressive Sensing Reconstruction

Yicong He, Fei Wang, Shiyuan Wang +1

Compressive sensing(CS) has drawn much attention in recent years due to its low sampling rate as well as high recovery accuracy. As an important procedure, reconstructing a sparse…

cs.IT2017★ 2 cited

Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction

Yicong He, Fei Wang, Shiyuan Wang +2

Robust compressive sensing(CS) reconstruction has become an attractive research topic in recent years. Robust CS aims to reconstruct the sparse signals under non-Gaussian(i.e. heav…

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