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Na Han

2 accepted papers

2026

Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval

AAAI 2026technical

Domain adaptive retrieval aims to transfer knowledge from a labeled source domain to an unlabeled target domain, enabling effective retrieval while mitigating domain discrepancies. However, existing methods encounter several fundamental limitations: 1) neglecting class-level semantic alignment and e

Cited by 0SourcePDFScholar
2025

Pseudo-Label Reconstruction for Partial Multi-Label Learning

IJCAI 2025

In Partial Multi-Label Learning (PML), each instance is associated with a candidate label set containing multiple relevant labels along with other false positive labels. Currently, most PML methods directly extract instance correlation from instance features while ignoring the candidate labels, whic

Cited by 0SourcePDFScholar