Qifeng Zhou — accepted AI-conference papers

2026

Hyperbolic Gramian Volumes for Multimodal Alignment

Saiyang Na, Feng Jiang, Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Yuzhi Guo +4

CVPR 2026

Multimodal contrastive learning typically relies on pairwise similarities for alignment, but recent work has shown that Gramian volumes can capture higher-order correlations across modalities. However, Euclidean Gramian volumes suffer from volume collapse under L2 normalization, concentrating near u

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2024

A Hierarchical Network for Multimodal Document-Level Relation Extraction

Lingxing Kong, Jiuliang Wang, Zheng Ma, Qifeng Zhou, Jianbing Zhang, Liang He +1

AAAI 2024technical

Document-level relation extraction aims to extract entity relations that span across multiple sentences. This task faces two critical issues: long dependency and mention selection. Prior works address the above problems from the textual perspective, however, it is hard to handle these problems solel…

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