Robust Semi-Supervised Learning when Not All Classes have Labels. - Lan-Zhe Guo; Yi-Ge Zhang; Zhi-Fan Wu; Jie-Jing Shao; Yufeng Li 008 (NeurIPS, 2022)

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. - Heng-Kai Zhang; Yi-Ge Zhang; Zhi Zhou 007; Yufeng Li 008 (AAAI, 2024)

LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning. - Heng-Kai Zhang; Yi-Ge Zhang; Zhi Zhou 007; Yufeng Li 008 (IJCAI, 2024)

An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise. - Jingyi Cui; Yi-Ge Zhang; Hengyu Liu; Yisen Wang 001 (CoRR, 2025)

Understanding Difficult-to-learn Examples in Contrastive Learning: A Theoretical Framework for Spectral Contrastive Learning. - Yi-Ge Zhang; Jingyi Cui; Qiran Li; Yisen Wang 001 (CoRR, 2025)