Yingping Li — accepted AI-conference papers

2026

TIM++: Transductive Information Maximization for Few-Shot CLIP

Yingping Li, Yutong Zou, Yunshi Huang, Changzhe Jiao, Xinlin Wang, Shen Peng +2

AAAI 2026technical

Transductive Information Maximization (TIM) is a leading transductive few-shot learning method that maximizes the mutual information between query features and their predicted labels, while incorporating supervision from the support set. However, its potential remains underexplored, primarily due to

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2022

Vision Shared and Representation Isolated Network for Person Search

Yang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang

IJCAI 2022poster

Person search is a widely-concerned computer vision task that aims to jointly solve the problems of pedestrian detection and person re-identification in panoramic scenes. However, the pedestrian detection focuses on the consistency of pedestrians, while the person re-identification attempts to extra…

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