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researcher

Yufeng Zhang

4 papers hereh-index 5415 citations6 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL2
  • cs.IR2
same name
  • Yufeng Zhang — 11 papers, h 10
  • Yufeng Zhang — 6 papers, h 13
  • Yufeng Zhang — 6 papers, h 4
  • Yufeng Zhang — 5 papers, h 10
  • Yufeng Zhang — 4 papers, h 6
  • Yufeng Zhang — 4 papers, h 6

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
20202024
most citedEvery Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

31 citations · 66 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024★ 12 cited

Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns

Yufeng Zhang, Xuepeng Wang, Lingxiang Wu +1

Chain of Thought (CoT) prompting can encourage language models to engage in multi-step logical reasoning. The quality of the provided demonstrations significantly influences the su…

cs.IR2021★ 21 cited

Relation-aware Heterogeneous Graph for User Profiling

Qilong Yan, Yufeng Zhang, Qiang Liu +2

User profiling has long been an important problem that investigates user interests in many real applications. Some recent works regard users and their interacted objects as entitie…

cs.IR2021★ 2 cited

A Graph-based Relevance Matching Model for Ad-hoc Retrieval

Yufeng Zhang, Jinghao Zhang, Zeyu Cui +2

To retrieve more relevant, appropriate and useful documents given a query, finding clues about that query through the text is crucial. Recent deep learning models regard the task a…

cs.CL2020★ 31 cited

Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

Yufeng Zhang, Xueli Yu, Zeyu Cui +3

Text classification is fundamental in natural language processing (NLP), and Graph Neural Networks (GNN) are recently applied in this task. However, the existing graph-based works…

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