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Q. Zheng

23 papers hereh-index 448.3k citations394 works total

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

author position
  • first author1
  • middle author8
  • last author12

Across the 21 of 23 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CL4
  • cs.CR3
  • cs.AI2
  • cs.CV1
  • cs.CY1
same name
  • Q. Zheng — 35 papers, h 53
  • Q. Zheng — 35 papers, h 20
  • Q. Zheng — 32 papers, h 17
  • Q. Zheng — 26 papers, h 10
  • Q. Zheng — 24 papers, h 15
  • Q. Zheng — 16 papers, h 28

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 citedGraph Representation Learning via Graphical Mutual Information Maximization

45 citations · 141 across the 23 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2021★ 1 cited

Annotation of Chinese Predicate Heads and Relevant Elements

Yanping Chen, Wenfan Jin, Yongbin Qin +3

A predicate head is a verbal expression that plays a role as the structural center of a sentence. Identifying predicate heads is critical to understanding a sentence. It plays the…

cs.CL2020★ 16 cited

A Boundary Regression Model for Nested Named Entity Recognition

Yanping Chen, Lefei Wu, Qinghua Zheng +7

Recognizing named entities (NEs) is commonly conducted as a classification problem that predicts a class tag for a word or a NE candidate in a sentence. In shallow structures, cate…

cs.CL2020★ 5 cited

XTQA: Span-Level Explanations of the Textbook Question Answering

Jie Ma, Qi Chai, Jun Liu +3

Textbook Question Answering (TQA) is a task that one should answer a diagram/non-diagram question given a large multi-modal context consisting of abundant essays and diagrams. We a…

cs.CL2018★ 2 cited

Leveraging Multi-grained Sentiment Lexicon Information for Neural Sequence Models

Yan Zeng, Yangyang Lan, Yazhou Hao +2

Neural sequence models have achieved great success in sentence-level sentiment classification. However, some models are exceptionally complex or based on expensive features. Some o…

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