Qingtian Liu
1 indexed paper
Recent (6 mo)
1With code
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126
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Earth and Planetary Astrophysics×1Instrumentation and Methods for Astrophysics×1AI×1
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2026
DELOS: Detecting Shallow Transits in Kepler Photometry Using a Contrastive-Learning Framework
DELOS is a novel contrastive-learning framework that efficiently and sensitively detects shallow, intermediate-to-long-period exoplanet transits in Kepler photometry, significantly outperforming traditional methods like BLS and TLS in low Signal-to-Noise Ratio regimes.
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Papers
astro-ph.EPastro-ph.IMcs.AIRecentMay 28, 2026
DELOS: Detecting Shallow Transits in Kepler Photometry Using a Contrastive-Learning Framework
Qingtian Liu, Jian Ge, XingChen Yan, Kevin Willis +3 more
DELOS is a novel contrastive-learning framework that efficiently and sensitively detects shallow, intermediate-to-long-period exoplanet transits in Kepler photometry, significantly outperforming tradi…
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