Yeqiang Wang

2 accepted papers

2025

Chat-Driven Text Generation and Interaction for Person Retrieval

Zequn Xie, Chuxin Wang, Yeqiang Wang, Sihang Cai, Shulei Wang, Tao Jin

EMNLP 2025

Text-based person search (TBPS) enables the retrieval of person images from large-scale databases using natural language descriptions, offering critical value in surveillance applications. However, a major challenge lies in the labor-intensive process of obtaining high-quality textual annotations, w

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

Robust Label Proportions Learning

Jueyu Chen, Wantao Wen, Yeqiang Wang, Erliang Lin, Yemin Wang, Yuheng Jia

NeurIPS 2025poster

Learning from Label Proportions (LLP) is a weakly-supervised paradigm that uses bag-level label proportions to train instance-level classifiers, offering a practical alternative to costly instance-level annotation. However, the weak supervision makes effective training challenging, and existing meth…

Cited by 0 Source ↗Scholar ↗