Beiyan Liu

collaborators

3 papers

math.CO2026

Some classes of connected signed graphs with girth $g$ and negative inertia index $⌈ \frac{g}{2} ⌉ + 1$

BeiYan Liu, Fang Duan

Let $I^$ be a signed graph. The number of negative eigenvalues of the adjacency matrix of $I^$ is called the negative inertia index of $I^$ , which is denoted by $i_{-} (I^)$ . The leng…

cs.CV2025

Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification

Sheng Huang, Jiexuan Yan, Beiyan Liu +2

Real-world datasets often exhibit class imbalance across multiple categories, manifesting as long-tailed distributions and few-shot scenarios. This is especially challenging in Cla…

math.SP2025

Connected signed graphs with given inertia indices and given girth

Beiyan Liu, Fang Duan

Suppose that $I^ = (G, I ¨ )$ is a connected signed graph with at least one cycle. The number of positive, negative and zero eigenvalues of the adjacency matrix of $I^$ are called posi…

Some classes of connected signed graphs with girth g and negative inertia index ⌈2g​⌉+1

Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification

Connected signed graphs with given inertia indices and given girth

Some classes of connected signed graphs with girth $g$ and negative inertia index $⌈ \frac{g}{2} ⌉ + 1$