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Dong Xu

21 papers hereh-index 326.1k citations56 works total

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

author position
  • first author4
  • middle author7
  • last author9

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.CL4
  • eess.IV3
  • cs.NE1
  • q-bio.QM1
same name
  • Dong Xu — 21 papers, h 6
  • Dong Xu — 18 papers, h 9
  • Dong Xu — 13 papers, h 2
  • Dong Xu — 11 papers, h 4
  • Dong Xu — 11 papers, h 5
  • Dong Xu — 10 papers, h 23

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
20162025
most citedImproving Weakly Supervised Temporal Action Localization by Exploiting Multi-resolution Information in Temporal Domain

16 citations · 60 across the 13 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2020★ 6 cited

Improving AMR Parsing with Sequence-to-Sequence Pre-training

Dongqin Xu, Junhui Li, Muhua Zhu +2

In the literature, the research on abstract meaning representation (AMR) parsing is much restricted by the size of human-curated dataset which is critical to build an AMR parser wi…

cs.CL2019★ 5 cited

Gated Group Self-Attention for Answer Selection

Dong Xu, Jianhui Ji, Haikuan Huang +2

Answer selection (answer ranking) is one of the key steps in many kinds of question answering (QA) applications, where deep models have achieved state-of-the-art performance. Among…

cs.CL2019

Hashing based Answer Selection

Dong Xu, Wu-Jun Li

Answer selection is an important subtask of question answering (QA), where deep models usually achieve better performance. Most deep models adopt question-answer interaction mechan…

cs.CL2016★ 5 cited

Full-Time Supervision based Bidirectional RNN for Factoid Question Answering

Dong Xu, Wu-Jun Li

Recently, bidirectional recurrent neural network (BRNN) has been widely used for question answering (QA) tasks with promising performance. However, most existing BRNN models extrac…

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