Yuzhi Tao

Partial Multi-Label Learning with Missing Labels via Feature-Aware Label Disentanglement

This work proposes an integrated learning paradigm that simultaneously enhances feature compactness and improves robustness against label noise and introduces a feature disentanglement mechanism that isolates reliable label-related feature representations from spurious ones introduced by noisy supervision.