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researcher

Qian Liu

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CL2
  • cs.CV1
  • cs.SI1
ORCID 0000-0003-3977-7207
same name
  • Qian Liu — 14 papers, h 32
  • Qian Liu — 10 papers
  • Qian Liu — 10 papers
  • Qian Liu — 5 papers, h 20
  • Qian Liu — 5 papers, h 4
  • Qian Liu — 5 papers

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

most citedSimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

6 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

ISQA: Informative Factuality Feedback for Scientific Summarization

Zekai Li, Yanxia Qin, Qian Liu +1

We propose Iterative Facuality Refining on Informative Scientific Question-Answering (ISQA) feedback\footnote{Code is available at \url{https://github.com/lizekai-richard/isqa}}, a…

cs.CV2024★ 2 cited

UniVision: A Unified Framework for Vision-Centric 3D Perception

Yu Hong, Qian Liu, Huayuan Cheng +5

The past few years have witnessed the rapid development of vision-centric 3D perception in autonomous driving. Although the 3D perception models share many structural and conceptua…

cs.SI2024★ 1 cited

Comparing discriminating abilities of evaluation metrics in link prediction

Xinshan Jiao, Shuyan Wan, Qian Liu +5

Link prediction aims to predict the potential existence of links between two unconnected nodes within a network based on the known topological characteristics. Evaluation metrics a…

cs.CL2023★ 6 cited

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Keyu Duan, Qian Liu, Tat-Seng Chua +4

Textual graphs (TGs) are graphs whose nodes correspond to text (sentences or documents), which are widely prevalent. The representation learning of TGs involves two stages: (i) uns…

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