Qingqi Han — accepted AI-conference papers

2025

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method

Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu

IJCAI 2025

The rapid growth in feature dimension may introduce implicit associations between features and labels in multi-label datasets, making the relationships between features and labels increasingly complex. Moreover, existing methods often adopt low-dimensional linear decomposition to explore the associa

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2025

Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning

Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu

IJCAI 2025

The "Curse of dimensionality" is prevalent across various data patterns, which increases the risk of model overfitting and leads to a decline in model classification performance. However, few studies have focused on this issue in Partial Multi-label Learning (PML), where each sample is associated wi

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