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Zhengliang Liu

4 papers hereh-index 4154 citations7 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.HC3
  • cs.AI1
same name
  • Zhengliang Liu — 2 papers, h 2
  • Zhengliang Liu — 1 paper
  • Zhengliang Liu — 1 paper, h 16
  • Zhengliang Liu — 1 paper
  • Zhengliang Liu — 1 paper, h 8
  • Zhengliang Liu — 1 paper, h 2

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
20192023
most citedContext Matters: A Strategy to Pre-train Language Model for Science Education

25 citations · 27 across the 2 of their papers we have counts for

collaborators

4 papers

cs.AI2023★ 25 cited

Context Matters: A Strategy to Pre-train Language Model for Science Education

Zhengliang Liu, Xinyu He, Lei Liu +2

This study aims at improving the performance of scoring student responses in science education automatically. BERT-based language models have shown significant superiority over tra…

cs.HC2020

Let's Gamble: How a Poor Visualization Can Elicit Risky Behavior

Melanie Bancilhon, Zhengliang Liu, Alvitta Ottley

Data visualizations are standard tools for assessing and communicating risks. However, it is not always clear which designs are optimal or how encoding choices might influence risk…

cs.HC2020

Survey on Individual Differences in Visualization

Zhengliang Liu, R. Jordan Crouser, Alvitta Ottley

Developments in data visualization research have enabled visualization systems to achieve great general usability and application across a variety of domains. These advancements ha…

cs.HC2019★ 2 cited

Let's Gamble: Uncovering the Impact of Visualization on Risk Perception and Decision-Making

Melanie Bancilhon, Zhengliang Liu, Alvitta Ottley

Data visualizations are standard tools for assessing and communicating risks. However, it is not always clear which designs are optimal or how encoding choices might influence risk…

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