Author

Yu-Heng Jia

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Preprint Oct 2026

Unsupervised Long-Tailed Adaptation of Vision-Language Models

Adapting vision-language models to downstream tasks has achieved remarkable success by leveraging pseudo-labels generated from unlabeled data. Existing methods typically assume a uniform unlabeled data distribution, and thus the resulting pseudo-label distribution is likewise uniform. However, real-world data distribut...

Ke-Liang Chen, Ya-Xin Hou, Hui Liu et al. · 0 citations

Preprint Sep 2026

VLM4Cluster: Benchmarking Deep Clustering In the Era of Vision-Language Pre-training

Vision-language pre-training has reshaped image clustering, giving rise to language-assisted image clustering (LaIC), which leverages textual semantics to complement visual representations. Despite the rapid proliferation of LaIC methods, it remains unclear how much LaIC has actually advanced image clustering, as exist...

Yuan Hu, Bo Peng, Yu-Heng Jia et al. · 0 citations

#artificial intelligence Preprint Feb 2026

Semantic Purification for Conditional Representation Learning

Semantic Purification for Conditional Representation Learning (SP-CRL) first decomposes the original text basis and performs curvature-based adaptive truncation on the resulting basis vectors to construct a purer conditional subspace, then identifies an appropriate noise subspace and projects image embeddings onto its...

Jia-Quan Wang, Y. Lyu, Chen Li et al. · 0 citations