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researcher

K. Hua

12 papers hereh-index 398.9k citations331 works total

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

author position
  • last author12

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV4
  • cs.LG2
  • cs.SI1
same name
  • K. Hua — 1 paper, h 7

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
20152021
most citedSyntactic Recurrent Neural Network for Authorship Attribution

13 citations · 35 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.SI2019

Attention Based Neural Architecture for Rumor Detection with Author Context Awareness

Sansiri Tarnpradab, Kien A. Hua

The prevalence of social media has made information sharing possible across the globe. The downside, unfortunately, is the wide spread of misinformation. Methods applied in most pr…

cs.CL2019

Style-aware Neural Model with Application in Authorship Attribution

Fereshteh Jafariakinabad, Kien A. Hua

Writing style is a combination of consistent decisions associated with a specific author at different levels of language production, including lexical, syntactic, and structural. I…

cs.CV2019★ 3 cited

Differential Recurrent Neural Network and its Application for Human Activity Recognition

Naifan Zhuang, Guo-Jun Qi, The Duc Kieu +1

The Long Short-Term Memory (LSTM) recurrent neural network is capable of processing complex sequential information since it utilizes special gating schemes for learning representat…

cs.CL2019★ 13 cited

Syntactic Recurrent Neural Network for Authorship Attribution

Fereshteh Jafariakinabad, Sansiri Tarnpradab, Kien A. Hua

Writing style is a combination of consistent decisions at different levels of language production including lexical, syntactic, and structural associated to a specific author (or a…

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