7 citations · 7 across the 6 of their papers we have counts for
6 papers
TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind Searches
Xingchen Yan, Jian Ge, Qingtian Liu +3
Motivated by the observational incompleteness of intermediate-to-long-period Earth-size planets, we present TransitNet, a compact attention-augmented deep-learning framework for lo…
GTLS: A GPU-accelerated method for periodic transit detection
Quanquan Hu, Jian Ge, Luoxi Jin +1
Computational efficiency is a critical requirement for transit searches in modern large-scale photometric surveys. We present Graphics Processing Units Transit Least Squares (GTLS)…
DELOS: Contrastive Deep Learning for Low-SNR Blind Transit Searches in Kepler Photometry
Qingtian Liu, Jian Ge, XingChen Yan +4
We present DEtection in phase-folded Light curves with cOntrastive Scoring (DELOS), a deep-learning framework that uses contrastive scoring to perform blind searches for shallow tr…
Detecting Ca II Absorption Lines with a Fe II assisted Dual Neural Network
Lucas Wang, Jian Ge, Kevin Willis
Ca II absorbers, characterized by dusty and metal-rich environments, provide unique insights into the interstellar medium of galaxies. However, their rarity and weak absorption fea…
The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits
Kaitlyn Wang, Jian Ge, Kevin Willis +2
This paper presents GPFC, a novel Graphics Processing Unit (GPU) Phase Folding and Convolutional Neural Network (CNN) system to detect exoplanets using the transit method. We devis…
Discovery of Small Ultra-short-period Planets Orbiting KG Dwarfs in Kepler Survey Using GPU Phase Folding and Deep Learning Detection System
Kaitlyn Wang, Jian Ge, Kevin Willis +3
Of over 5,000 exoplanets identified so far, only a few hundred possess sub-Earth radii. The formation processes of these sub-Earths remain elusive, and acquiring additional samples…