KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks. - Bisheng Tang; Xiaojun Chen 004; Dakui Wang; Zhendong Zhao (IJCNN, 2022)

Rethinking the Feature Iteration Process of Graph Convolution Networks. - Bisheng Tang; Xiaojun Chen 004; Dakui Wang; Zhendong Zhao (IJCNN, 2022)

Unsupervised Graph Structure-Assisted Personalized Federated Learning. - Xiaoying Li; Xiaojun Chen 004; Bisheng Tang; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ECAI, 2023)

Practical and General Backdoor Attacks Against Vertical Federated Learning. - Yuexin Xuan; Xiaojun Chen 004; Zhendong Zhao; Bisheng Tang; Ye Dong (ECML/PKDD (2), 2023)

Generalized heterophily graph data augmentation for node classification. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (Neural Networks, 2023)

Graph Federated Learning with Center Moment Constraints for Node Classification. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ICPP Workshops, 2024)

STMS: An Out-Of-Distribution Model Stealing Method Based on Causality. - Yunfei Yang 001; Xiaojun Chen 004; Zhendong Zhao; Yuexin Xuan; Bisheng Tang; Xiaoying Li (IJCNN, 2024)

Federated Learning with Limited Node Labels. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (CoRR, 2024)

Take Attention Inside: Neighbor Pair Graph Contrastive Learning. - Bisheng Tang; Xiaojun Chen; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ICASSP, 2025)