Wang, Yejiang

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

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

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