Author

Fu-Sheng Zhou

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#machine learning Preprint Oct 2026

Joint Contrastive-Adversarial Representation Learning for Unsupervised Domain Adaptation

Effective unsupervised domain adaptation (UDA) requires a representation that captures transferable structure from both the labeled source domain and the unlabeled target domain. We introduce Joint Contrastive-Adversarial Representation Learning (JCAR), a two-stage framework that learns a common representation from the...

Yu-Ling Jiao, Li-Can Kang, Jerry Zhijian Yang et al. · 0 citations

#machine learning Preprint Oct 2026

Latent-Space Importance Weighting under Covariate Shift

In this work, we propose a transfer learning algorithm for covariate shift, integrating sample reweighting with representation learning. A key feature of our approach is the use of a lower-dimensional latent space for modeling, in contrast to conventional methods that operate directly in the high-dimensional ambient sp...

Yu-Ling Jiao, Li-Can Kang, Yang Xiang et al. · 0 citations