Author

Zhou Yu

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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

Preprint Aug 2026

Marginal Coordinate Test for Fr\'echet Regression with Random Objects

We develop a marginal coordinate test for regression with Euclidean predictors and a random-object response in a separable metric space. The goal is to test whether a predictor provides additional information about the response conditional on the remaining predictors. In a semi-supervised design, an unlabeled sample is...

Jia-Ye Chen, Rui Qiu, Roulin Wang et al. · 0 citations

Open access Aug 2026

AddaGCN: Spatial transcriptomics deconvolution using graph convolutional networks with adversarial discriminative domain adaptation

Comprehensive analyses of real data generated by diverse technology platforms demonstrate AddaGCN’s superior performance and robustness in cell-type deconvolution compared to other methods and reveal AddaGCN’s potential to uncover spatiotemporal changes during tissue development and to characterize the tumor microenvir...

Shuzhe Ding, Zhou Yu, Jingsi Ming · PLoS Computational Biology · 0 citations