Jun-Peng Fang

Partial Multi-Label Learning via Credible Label Elicitation

2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Partial multi-label learning (PML) deals with the problem where each training example is associated with an overcomplete set of candidate labels, among which only some candidate labels are valid. The task of PML naturally arises …

BiLabel-Specific Features for Multi-Label Classification

2021 · ACM Transactions on Knowledge Discovery from Data

In multi-label classification, the task is to induce predictive models which can assign a set of relevant labels for the unseen instance. The strategy of label-specific features has been widely employed in learning from multi-label …