Zizheng Jiu — accepted AI-conference papers

2026

Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering

Feijiang Li, Zhenxiong Li, Jieting Wang, Zizheng Jiu, Saixiong Liu, Liang Du

IJCAI 2026

Image clustering aims to partition unlabeled image datasets into distinct groups. A core aspect of this task is constructing and leveraging prior knowledge to guide the clustering process. Recent approaches introduce semantic descriptions as prior information, most of which typically relying on matc

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2026

Spatial Structure and Selective Text Jointly Facilitate Image Clustering

Feijiang Li, Zizheng Jiu, Jieting Wang, Yuhua Qian, Lu Chen

ICLR 2026poster

Image clustering is a fundamental task in visual machine learning. A key research direction in this field is the incorporation of prior knowledge. Recently, such prior knowledge has evolved from internal compactness constraints to external textual guidance. In particular, the introduction of textual…

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