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Home/Authors/Yuling Jiao

Yuling Jiao

1 indexed paper

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1
26

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Frequent co-authors

Changyu Liu1×
Jian Huang1×

Research Timeline

2026
Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations

This paper proposes a semi-supervised framework, RepG, for conditional generative modeling using stochastic interpolation and low-dimensional latent representations.

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Papers

stat.MLcs.LGTheoreticalRecentJul 18, 2026

Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations

Changyu Liu, Yuling Jiao, Jian Huang

This paper proposes a semi-supervised framework, RepG, for conditional generative modeling using stochastic interpolation and low-dimensional latent representations.

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