Zhanyan Tang — accepted AI-conference papers

2025

Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification

Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen, Mu Li +1

ICML 2025poster

Multi-view data involves various data forms, such as multi-feature, multi-sequence and multimodal data, providing rich semantic information for downstream tasks. The inherent challenge of incomplete multi-view missing multi-label learning lies in how to effectively utilize limited supervision and in…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification

Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang

AAAI 2024technical

Recently, multi-view multi-label classification (MvMLC) has received a significant amount of research interest and many methods have been proposed based on the assumptions of view completion and label completion. However, in real-world scenarios, multi-view multi-label data tends to be incomplete du…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗