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Hong Guo

3 papers hereh-index 323 citations4 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM1
  • gr-qc1
  • physics.comp-ph1
same name
  • Hong Guo — 34 papers, h 57
  • Hong Guo — 27 papers, h 25
  • Hong Guo — 21 papers, h 35
  • Hong Guo — 13 papers, h 12
  • Hong Guo — 11 papers
  • Hong Guo — 9 papers

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 citedRapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning

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

collaborators

3 papers

astro-ph.IM2024

Accelerating Stochastic Gravitational Wave Backgrounds Parameter Estimation in Pulsar Timing Arrays with Flow Matching

Bo Liang, Chang Liu, Tianyu Zhao +9

\Acp{PTA} are essential tools for detecting the \ac{SGWB}, but their analysis faces significant computational challenges. Traditional methods like \ac{MCMC} struggle with high-dime…

physics.comp-ph2024★ 1 cited

Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning

Bo Liang, Hong Guo, Tianyu Zhao +11

Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which…

gr-qc2024

Gravitational waves from extreme mass ratio inspirals in Kerr-MOG spacetimes

Xiongying Qiao, Zhong-Wu Xia, Qiyuan Pan +3

This work elaborates on a detailed analysis of the novel characteristics of gravitational waves (GWs) generated by extreme mass ratio inspirals (EMRIs) within the framework of modi…

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