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Kai Liao

10 papers hereh-index 26 citations10 works total

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

author position
  • middle author7
  • last author2

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO7
  • astro-ph.IM3
same name
  • Kai Liao — 53 papers, h 24
  • Kai Liao — 5 papers, h 2
  • Kai Liao — 5 papers, h 1
  • Kai Liao — 4 papers, h 1
  • Kai Liao — 3 papers, h 1
  • Kai Liao — 3 papers, h 3

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 citedIdentification of Strongly Lensed Gravitational Wave Events Using Squeeze-and-Excitation Multilayer Perceptron Data-efficient Image Transformer

3 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

3 papers · 1 filter

astro-ph.IM2026★ 2 cited

Parameter estimation of eccentric massive black hole binaries with LISA and its cosmological implications

Jia-Hao Zhong, Jin-Zhao Yang, Tao Yang +4

Future space-based gravitational wave (GW) observatories such as LISA will detect massive black hole binaries (MBHBs), which are expected to be accompanied by electromagnetic count…

astro-ph.IM2025

Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Ao Liu, Tonghua Liu, Dejiang Li +5

Gravitational wave lensing, particularly microlensing by compact dark matter (DM), offers a unique avenue to probe the nature of dark matter. However, conventional detection method…

astro-ph.IM2025★ 3 cited

Identification of Strongly Lensed Gravitational Wave Events Using Squeeze-and-Excitation Multilayer Perceptron Data-efficient Image Transformer

Dejiang Li, Tonghua Liu, Ao Liu +4

With the advancement of third-generation gravitational wave detectors, the identification of strongly lensed gravitational wave (GW) events is expected to play an increasingly vita…

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