activity
20232026
most citedReanalyzing the ringdown signal of GW150914 using the F-statistic method

9 citations · 24 across the 10 of their papers we have counts for

collaborators

10 papers

astro-ph.IM2026

An agentic framework for gravitational-wave counterpart association in the multi-messenger era

Yiming Dong, Yacheng Kang, Junjie Zhao +3

With the detection of gravitational waves (GWs), multi-messenger astronomy has opened a new window for advancing our understanding of astrophysics, dense matter, gravitation, and c…

gr-qc2026

Cracking Gravitational Wave Multiple Ringdown Modes in Space

Ziming Wang, Han Wang, Yuxin Yang +4

Ringdown signals from perturbed black holes (BHs) offer a clean window into BH spacetime, strong-field gravity, and fundamental physics. Presently the quasi-normal modes of stellar…

cs.AI2026

Probing RLVR training instability through the lens of objective-level hacking

Yiming Dong, Kun Fu, Haoyu Li +5

Prolonged reinforcement learning with verifiable rewards (RLVR) has been shown to drive continuous improvements in the reasoning capabilities of large language models, but the trai…

gr-qc2025

Inferring neutron-star Love-Q relations from gravitational waves in the hierarchical Bayesian framework

Zhihao Zheng, Ziming Wang, Jinwen Deng +2

Despite the large uncertainties in the equation of state for neutron stars (NSs), a tight universal ``Love-Q'' relation exists between their dimensionless tidal deformability, ,…

gr-qc2025

Lightweight posterior construction for gravitational-wave catalogs with the Kolmogorov-Arnold network

Wenshuai Liu, Yiming Dong, Ziming Wang +1

Neural density estimation has seen widespread applications in the gravitational-wave (GW) data analysis, which enables real-time parameter estimation for compact binary coalescence…

cs.CL2025

From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning

Haoyu Li, Xuhong Li, Yiming Dong +1

Dataset diversity plays a pivotal role for the successful training of many machine learning models, particularly in the supervised fine-tuning (SFT) stage of large language model (…

gr-qc2025★ 2 cited

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes

Yiming Dong, Ziming Wang, Hai-Tian Wang +2

Gravitational-wave (GW) ringdown signals from black holes (BHs) encode crucial information about the gravitational dynamics in the strong-field regime, which offers unique insights…

gr-qc2024★ 9 cited

Reanalyzing the ringdown signal of GW150914 using the F-statistic method

Hai-Tian Wang, Ziming Wang, Yiming Dong +2

The ringdown phase of a gravitational wave (GW) signal from a binary black hole merger provides valuable insights into the properties of the final black hole and serves as a critic…

astro-ph.HE2023★ 8 cited

New limits on the local Lorentz invariance violation of gravity in the Standard-Model Extension with pulsars

Yiming Dong, Ziming Wang, Lijing Shao

Lorentz Violation (LV) is posited as a possible relic effect of quantum gravity at low energy scales. The Standard-Model Extension provides an effective field-theoretic framework f…

gr-qc2023★ 5 cited

Moment of Inertia for Axisymmetric Neutron Stars in the Standard-Model Extension

Yiming Dong, Zexin Hu, Rui Xu +1

We develop a consistent approach to calculate the moment of inertia (MOI) for axisymmetric neutron stars (NSs) in the Lorentz-violating Standard-Model Extension (SME) framework. To…