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Wei Pan

11 papers hereh-index 11958 citations26 works total

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

author position
  • first author4
  • middle author4
  • last author1

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • eess.SY5
  • cs.LG2
  • math.OC2
  • cs.CV1
  • q-bio.NC1
same name
  • Wei Pan — 21 papers, h 20
  • Wei Pan — 11 papers, h 7
  • Wei Pan — 11 papers, h 2
  • Wei Pan — 9 papers, h 11
  • Wei Pan — 8 papers, h 3
  • Wei Pan — 7 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
20122026
most citedMixed Neural Network Approach for Temporal Sleep Stage Classification

302 citations · 560 across the 11 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

eess.SY2016★ 2 cited

Dynamic Network Reconstruction from Heterogeneous Datasets

Zuogong Yue, Johan Thunberg, Wei Pan +2

Performing multiple experiments is common when learning internal mechanisms of complex systems. These experiments can include perturbations to parameters or external disturbances.…

q-bio.NC2016★ 302 cited

Mixed Neural Network Approach for Temporal Sleep Stage Classification

Hao Dong, Akara Supratak, Wei Pan +3

This paper proposes a practical approach to addressing limitations posed by use of single active electrodes in applications for sleep stage classification. Electroencephalography (…

eess.SY2016

On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach

J. Jin, Y. Yuan, W. Pan +4

This paper begins with considering the identification of sparse linear time-invariant networks described by multivariable ARX models. Such models possess relatively simple structur…

cs.CV2016★ 25 cited

DropNeuron: Simplifying the Structure of Deep Neural Networks

Wei Pan, Hao Dong, Yike Guo

Deep learning using multi-layer neural networks (NNs) architecture manifests superb power in modern machine learning systems. The trained Deep Neural Networks (DNNs) are typically…

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