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researcher

Shiwei Liu

UT Austin

28 papers hereh-index 201.5k citations35 works total

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

author position
  • first author12
  • middle author11
  • last author4

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG20
  • cs.CV4
  • cs.NE3
  • cs.CL1
affiliations
  • UT Austin
Homepage
same name
  • Shiwei Liu — 58 papers, h 20
  • Shiwei Liu — 3 papers, h 4
  • Shiwei Liu — 3 papers, h 4
  • Shiwei Liu — 2 papers, h 3
  • Shiwei Liu — 1 paper
  • Shiwei Liu — 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
20192026
most citedMore ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

89 citations · 256 across the 28 of their papers we have counts for

collaborators
Showing cs.NEShow all

3 papers · 1 filter

cs.NE2019★ 6 cited

On improving deep learning generalization with adaptive sparse connectivity

Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy

Large neural networks are very successful in various tasks. However, with limited data, the generalization capabilities of deep neural networks are also very limited. In this paper…

cs.NE2019★ 6 cited

Intrinsically Sparse Long Short-Term Memory Networks

Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy

Long Short-Term Memory (LSTM) has achieved state-of-the-art performances on a wide range of tasks. Its outstanding performance is guaranteed by the long-term memory ability which m…

cs.NE2019★ 6 cited

Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware

Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam +2

Artificial Neural Networks (ANNs) have emerged as hot topics in the research community. Despite the success of ANNs, it is challenging to train and deploy modern ANNs on commodity…

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