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researcher

Q. Liao

39 papers hereh-index 427k citations96 works total

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

author position
  • first author9
  • middle author26
  • last author1

Across the 36 of 39 papers where every author was matched, so the position is known.

fields
  • cs.HC21
  • cs.AI8
  • cs.LG5
  • cs.CL3
  • cs.CY2
same name
  • Q. Liao — 23 papers, h 36
  • Q. Liao — 18 papers, h 24
  • Q. Liao — 8 papers, h 14
  • Q. Liao — 6 papers, h 8
  • Q. Liao — 5 papers, h 3
  • Q. Liao — 5 papers, 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
20172026
most citedExpanding Explainability: Towards Social Transparency in AI systems

497 citations · 1.2k across the 30 of their papers we have counts for

collaborators
Showing 2021 · cs.AIShow all

3 papers · 2 filters

cs.AI2021★ 76 cited

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies

Vivian Lai, Chacha Chen, Q. Vera Liao +2

As AI systems demonstrate increasingly strong predictive performance, their adoption has grown in numerous domains. However, in high-stakes domains such as criminal justice and hea…

cs.AI2021★ 16 cited

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Q. Vera Liao, Kush R. Varshney

In recent years, the field of explainable AI (XAI) has produced a vast collection of algorithms, providing a useful toolbox for researchers and practitioners to build XAI applicati…

cs.AI2021★ 13 cited

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy +4

In this paper, we describe an open source Python toolkit named Uncertainty Quantification 360 (UQ360) for the uncertainty quantification of AI models. The goal of this toolkit is t…

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