3 papers
astro-ph.IM2026
Large Language Models for Limited Noisy Data: A Gravitational Wave Identification Study
Yixuan Li, Yuhao Lu, Yang Liu +7
This work investigates whether large language models (LLMs) offer advantages over traditional neural networks for astronomical data processing, in regimes with non-Gaussian, non-st…
astro-ph.GA2025
287,872 Supermassive Black Holes Masses: Deep Learning Approaching Reverberation Mapping Accuracy
Yuhao Lu, HengJian SiTu, Jie Li +4
We present a population-scale catalogue of 287,872 supermassive black hole masses with high accuracy. Using a deep encoder-decoder network trained on optical spectra with reverbera…
astro-ph.IM2025
Machine Phenomenology: A Simple Equation Classifying Fast Radio Bursts
Yang Liu, Yuhao Lu, Rahim Moradi +4
This work shows how human physical reasoning can guide machine-driven symbolic regression toward discovering empirical laws from observations. As an example, we derive a simple equ…