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researcher

Xinyu Dai

49 papers hereh-index 343.9k citations140 works total

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

author position
  • middle author38
  • last author9

Across the 47 of 49 papers where every author was matched, so the position is known.

fields
  • cs.CL40
  • cs.IR5
  • cs.LG2
  • cs.CE1
  • cs.CV1
same name
  • Xinyu Dai — 32 papers, h 11
  • Xinyu Dai — 11 papers, h 2
  • Xinyu Dai — 7 papers, h 3
  • Xinyu Dai — 4 papers, h 4
  • Xinyu Dai — 3 papers, h 0
  • Xinyu Dai — 3 papers, h 3

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
20152024
most citedImproving Review Representations with User Attention and Product Attention for Sentiment Classification

39 citations · 307 across the 48 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

Energy-based Unknown Intent Detection with Data Manipulation

Yawen Ouyang, Jiasheng Ye, Yu Chen +3

Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose intent has never appeared in the training set. In this paper, we propose using energy scores…

cs.CL2021★ 1 cited

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Zhen Wu, Lijun Wu, Qi Meng +5

Transformer architecture achieves great success in abundant natural language processing tasks. The over-parameterization of the Transformer model has motivated plenty of works to a…

cs.CL2021★ 4 cited

Non-Autoregressive Translation by Learning Target Categorical Codes

Yu Bao, Shujian Huang, Tong Xiao +3

Non-autoregressive Transformer is a promising text generation model. However, current non-autoregressive models still fall behind their autoregressive counterparts in translation q…

cs.IR2021★ 2 cited

Dual Side Deep Context-aware Modulation for Social Recommendation

Bairan Fu, Wenming Zhang, Guangneng Hu +3

Social recommendation is effective in improving the recommendation performance by leveraging social relations from online social networking platforms. Social relations among users…

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