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Manjia Liang

9 papers hereh-index 212 citations12 works total

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

author position
  • first author3
  • middle author5
  • last author1

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

fields
  • gr-qc5
  • astro-ph.CO1
  • astro-ph.EP1
  • astro-ph.IM1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedToward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework

1 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

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…

gr-qc2024

Fluctuation-dissipation relation of test masses in classical stochastic gravitational wave background

Manjia Liang, Peng Xu, Congfeng Qiao +4

Research on pulsar timing arrays has provided preliminary evidence for the existence of a stochastic gravitational background, which, either being primordial or of astrophysical or…

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…

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