Wang, Zhengkui

7 publications

NeurIPS 2025 Coloring Learning for Heterophilic Graph Representation Miaomiao Huang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Meixia Wang, Xingwei Wang

ICML 2025 Equivalence Is All: A Unified View for Self-Supervised Graph Learning Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang

ICML 2025 N2GON: Neural Networks for Graph-of-Net with Position Awareness Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang

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

IJCAI 2024 Towards Robust Multi-Label Learning Against Dirty Label Noise Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang

IJCAI 2023 Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang

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