most citedThe classification of real and bogus transients using active learning and semi-supervised learning

6 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

3 papers · 1 filter

astro-ph.IM2025★ 1 cited

phrosty: A difference imaging pipeline for Roman

Lauren Aldoroty, Lei Hu, Rob Knop +11

NASA's Nancy Grace Roman Space Telescope (Roman) will provide an opportunity to study dark energy with unprecedented precision using several techniques, including measurements of T…

astro-ph.IM2025★ 1 cited

The 2.5-meter Wide Field Survey Telescope Real-time Data Processing Pipeline I: From raw data to alert distribution

Minxuan Cai, Zelin Xu, Lulu Fan +13

The Wide Field Survey Telescope (WFST) is a dedicated photometric surveying facility built jointly by the University of Science and Technology of China (USTC) and the Purple Mounta…

astro-ph.IM2024★ 6 cited

The classification of real and bogus transients using active learning and semi-supervised learning

Yating Liu, Lulu Fan, Lei Hu +6

Deep-learning-based methods have been favored in astrophysics owing to their adaptability and remarkable performance and have been applied to the task of the classification of real…