Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang (CoRR, 2020)

Multi-graph Multi-label Learning with Dual-granularity Labeling. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Chengqi Zhang (KDD, 2021)

Robust Self-Supervised Multi-Instance Learning with Structure Awareness. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Meixia Wang (AAAI, 2023)

GALOPA: Graph Transport Learning with Optimal Plan Alignment. - Yejiang Wang; Yuhai Zhao; Daniel Zhengkui Wang; Ling Li (NeurIPS, 2023)

Multi-graph multi-label learning with novel and missing labels. - Miaomiao Huang; Yuhai Zhao; Yejiang Wang; Fazal Wahab; Yiming Sun; Chen Chen (Knowl. Based Syst., 2023)

Image emotion multi-label classification based on multi-graph learning. - Meixia Wang; Yuhai Zhao; Yejiang Wang; Tongze Xu; Yiming Sun (Expert Syst. Appl., 2023)

Limited-Supervised Multi-Label Learning with Dependency Noise. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Wen Shan; Xingwei Wang 001 (AAAI, 2024)

Towards Robust Multi-Label Learning against Dirty Label Noise. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Meixia Wang; Min Huang 001; Xingwei Wang 001 (IJCAI, 2024)

Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang; Xingwei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Graph Contrastive Learning with Progressive Augmentations. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Xingwei Wang 001 (KDD (1), 2025)

Multi-graph multi-instance multi-label learning via disentangled information mining. - Miaomiao Huang; Yuhai Zhao; Yejiang Wang; Meixia Wang; Xingwei Wang 001 (Expert Syst. Appl., 2025)

Dual-granularity multi-instance multi-label learning with variational autoencoder. - Meixia Wang; Yuhai Zhao; Yejiang Wang; Miaomiao Huang; Xuze Liu; Xingwei Wang 001 (Knowl. Based Syst., 2025)