Weijun Lv — accepted AI-conference papers

2026

Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval

Tianle Hu, Weijun Lv, Na Han, Xiaozhao Fang, Jie Wen, Jiaxing Li +1

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

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2025

Confidence-Aware With Prototype Alignment for Partial Multi-label Learning

Weijun Lv, Yu Chen, Xiaozhao Fang, Xuhuan Zhu, Jie Wen, Guoxu Zhou +1

NeurIPS 2025poster

Label prototype learning has emerged as an effective paradigm in Partial Multi-Label Learning (PML), providing a distinctive framework for modeling structured representations of label semantics while naturally filtering noise through prototype-based label confidence estimation. However, existing pro…

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