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Shuai Tang

Amazon Web Services

14 papers hereh-index 7231 citations20 works total

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

author position
  • first author10
  • middle author4

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CL4
  • cs.NE3
  • eess.SP1
affiliations
  • Amazon Web Services
Homepage
same name
  • Shuai Tang — 5 papers, h 4
  • Shuai Tang — 4 papers, h 1
  • Shuai Tang — 3 papers, h 4
  • Shuai Tang — 1 paper
  • Shuai Tang — 1 paper
  • Shuai Tang — 1 paper, h 1

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
20152023
most citedSimilarity of Neural Networks with Gradients

13 citations · 63 across the 14 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2018★ 3 cited

Improving Sentence Representations with Consensus Maximisation

Shuai Tang, Virginia R. de Sa

Consensus maximisation learning can provide self-supervision when different views are available of the same data. The distributional hypothesis provides another form of useful self…

cs.CL2018★ 5 cited

Multi-view Sentence Representation Learning

Shuai Tang, Virginia R. de Sa

Multi-view learning can provide self-supervision when different views are available of the same data. The distributional hypothesis provides another form of useful self-supervision…

cs.CL2017★ 6 cited

Trimming and Improving Skip-thought Vectors

Shuai Tang, Hailin Jin, Chen Fang +2

The skip-thought model has been proven to be effective at learning sentence representations and capturing sentence semantics. In this paper, we propose a suite of techniques to tri…

cs.CL2017★ 3 cited

Rethinking Skip-thought: A Neighborhood based Approach

Shuai Tang, Hailin Jin, Chen Fang +2

We study the skip-thought model with neighborhood information as weak supervision. More specifically, we propose a skip-thought neighbor model to consider the adjacent sentences as…

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