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researcher

C. Liu

8 papers hereh-index 5115 citations19 works total

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

author position
  • middle author3
  • last author3

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • cs.HC6
  • cs.CV1
  • cs.RO1
same name
  • C. Liu — 431 papers, h 49
  • C. Liu — 391 papers, h 13
  • C. Liu — 272 papers
  • C. Liu — 141 papers
  • C. Liu — 137 papers, h 20
  • C. Liu — 84 papers, h 49

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
20242026
most citedVisualization Generation with Large Language Models: An Evaluation

10 citations · 10 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.HC2024

HiRegEx: Interactive Visual Query and Exploration of Multivariate Hierarchical Data

Guozheng Li, Haotian Mi, Chi Harold Liu +2

When using exploratory visual analysis to examine multivariate hierarchical data, users often need to query data to narrow down the scope of analysis. However, formulating effectiv…

cs.HC2024

InsigHTable: Insight-driven Hierarchical Table Visualization with Reinforcement Learning

Guozheng Li, Peng He, Xinyu Wang +5

Embedding visual representations within original hierarchical tables can mitigate additional cognitive load stemming from the division of users' attention. The created hierarchical…

cs.HC2024★ 10 cited

Visualization Generation with Large Language Models: An Evaluation

Xinyu Wang, Chenwei Liang, Shunyuan Zheng +4

The frequent need for analysts to create visualizations to derive insights from data has driven extensive research into the generation of natural Language to Visualization (NL2VIS)…

cs.RO2024

Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation

Yinuo Zhao, Kun Wu, Tianjiao Yi +5

Improving generalization is one key challenge in embodied AI, where obtaining large-scale datasets across diverse scenarios is costly. Traditional weak augmentations, such as cropp…

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