Author

Yuncheng Wu

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Jul 2026

SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift

A Similarity-based Generative Network (SGN) is proposed, a reusable framework that is trained once on labeled source data and applied to new target domains without parameter updates, demonstrating the effectiveness of SGN for target-guided data augmentation under source-to-target distribution shifts.

Jia-Qi Zhu, Xincheng Chen, Yuncheng Wu et al. · arXiv.org · 0 citations