Qing-Yu Lu

Periodic Variable Star Classification in Imbalanced Data: A Two-Stage Decoupled Approach with Multimodal Contrastive Learning

Large photometric surveys require classification methods that retain sensitivity to sparsely represented periodic variable-star classes. We present a two-stage decoupled multimodal network (TDMN) for imbalanced periodic-variable-star classification using phase-folded light curves, three-channel morphology images, and g...