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researcher

Beishui Liao

2 papers here

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.MA1
ORCID 0000-0002-9653-217X

identity via Semantic Scholar / OpenAlex

most citedA Concept and Argumentation based Interpretable Model in High Risk Domains

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

collaborators

2 papers

cs.MA2023★ 1 cited

What Do You Care About: Inferring Values from Emotions

Jieting Luo, Mehdi Dastani, Thomas Studer +1

Observers can glean information from others' emotional expressions through the act of drawing inferences from another individual's emotional expressions. It is important for social…

cs.AI2022★ 1 cited

A Concept and Argumentation based Interpretable Model in High Risk Domains

Haixiao Chi, Dawei Wang, Gaojie Cui +2

Interpretability has become an essential topic for artificial intelligence in some high-risk domains such as healthcare, bank and security. For commonly-used tabular data, traditio…

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