Meimei Yang — accepted AI-conference papers

2026

Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces

Leping Si, Meimei Yang, Hui Xue, Shipeng Zhu, Pengfei Fang

AAAI 2026technical

Hierarchical data pervades diverse machine learning applications, including natural language processing, computer vision, and social network analysis. Hyperbolic space, characterized by its negative curvature, has demonstrated strong potential in such tasks due to its capacity to embed hierarchical

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2023

Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View

Meimei Yang, Pengfei Fang, Hui Xue

IJCAI 2023poster

Modeling data relation as a hierarchical structure has proven beneficial for many learning scenarios, and the hyperbolic space, with negative curvature, can encode such data hierarchy without distortion. Several recent studies also show that the representation power of the hyperbolic space can be fu…

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