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researcher

Kai Shen

4 papers hereh-index 5484 citations10 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.AI1
  • cs.CL1
  • cs.CY1
  • cs.MA1
same name
  • Kai Shen — 8 papers, h 3
  • Kai Shen — 7 papers, h 5
  • Kai Shen — 5 papers, h 5
  • Kai Shen — 4 papers, h 3
  • Kai Shen — 3 papers, h 5
  • Kai Shen — 3 papers, 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
20202022
most citedGraph Neural Networks for Natural Language Processing: A Survey

70 citations · 82 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2022★ 2 cited

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce

Xueying Zhang, Kai Shen, Chi Zhang +5

In this paper, we proposed an automatic Scenario-based Multi-product Advertising Copywriting Generation system (SMPACG) for E-Commerce, which has been deployed on a leading Chinese…

cs.CL2021★ 70 cited

Graph Neural Networks for Natural Language Processing: A Survey

Lingfei Wu, Yu Chen, Kai Shen +5

Deep learning has become the dominant approach in coping with various tasks in Natural LanguageProcessing (NLP). Although text inputs are typically represented as a sequence of tok…

cs.MA2020

Quasi-synchronization of bounded confidence opinion dynamics with stochastic asynchronous rule

Wei Su, Xueqiao Wang, Ge Chen +1

Recently the theory of noise-induced synchronization of Hegselmann-Krause (HK) dynamics has been well developed. As a typical opinion dynamics of bounded confidence, the HK model o…

cs.CY2020★ 10 cited

CovidNet: To Bring Data Transparency in the Era of COVID-19

Tong Yang, Kai Shen, Sixuan He +10

Timely, creditable, and fine-granular case information is vital for local communities and individual citizens to make rational and data-driven responses to the COVID-19 pandemic. T…

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