Research on Cooperative Packet Forwarding and Punishment Mechanism in Wireless Sensor Networks. - Qun Liu 005; Xingping Xian; Songtao Guo; Tao Wu 003 (GrC, 2010)

Game Theoretic Approach in Routing Protocol for Cooperative Wireless Sensor Networks. - Qun Liu 005; Xingping Xian; Tao Wu 003 (ICSI (2), 2011)

A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks. - Yanbing Liu; Tao Wu 003; Xingping Xian (IEICE Trans. Commun., 2011)

Full-scale Cascade Dynamics Prediction with a Local-First Approach. - Tao Wu 003; Leiting Chen; Xingping Xian; Yuxiao Guo 001 (CoRR, 2015)

Evolution prediction of multi-scale information diffusion dynamics. - Tao Wu 003; Leiting Chen; Xingping Xian; Yuxiao Guo 001 (Knowl. Based Syst., 2016)

Structural Regularity Exploring and Controlling: A Network Reconstruction Perspective. - Tao Wu 003; Shaojie Qiao; Wei Wang 070; Xingping Xian (CoRR, 2018)

Structural Predictability Optimization Against Inference Attacks in Data Publishing. - Tao Wu 003; Guannan Ming; Xingping Xian; Wei Wang 070; Shaojie Qiao; Guangxia Xu (IEEE Access, 2019)

Multi-View Low-Rank Coding-Based Network Data De-Anonymization. - Xingping Xian; Tao Wu 003; Shaojie Qiao; Wei Wang 070; Yanbing Liu; Nan Han (IEEE Access, 2020)

NetSRE: Link predictability measuring and regulating. - Xingping Xian; Tao Wu 003; Shaojie Qiao; Xi-Zhao Wang; Wei Wang 070; Yanbing Liu (Knowl. Based Syst., 2020)

DeepEC: Adversarial attacks against graph structure prediction models. - Xingping Xian; Tao Wu 003; Shaojie Qiao; Wei Wang 070; Chao Wang 025; Yanbing Liu; Guangxia Xu (Neurocomputing, 2021)

Towards link inference attack against network structure perturbation. - Xingping Xian; Tao Wu 003; Yanbing Liu; Wei Wang 070; Chao Wang 025; Guangxia Xu; Yonggang Xiao (Knowl. Based Syst., 2021)

Small perturbations are enough: Adversarial attacks on time series prediction. - Tao Wu 003; Xuechun Wang; Shaojie Qiao; Xingping Xian; Yanbing Liu; Liang Zhang (Inf. Sci., 2022)

ERGCN: Data enhancement-based robust graph convolutional network against adversarial attacks. - Tao Wu 003; Nan Yang; Long Chen; Xiaokui Xiao; Xingping Xian; Jun Liu 044; Shaojie Qiao; Canyixing Cui (Inf. Sci., 2022)

Generative Graph Neural Networks for Link Prediction. - Xingping Xian; Tao Wu 003; Xiaoke Ma 001; Shaojie Qiao; Yabin Shao; Chao Wang 025; Lin Yuan 002; Yu Wu 001 (CoRR, 2023)

GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning. - Tao Wu 003; Xinwen Cao; Chao Wang 025; Shaojie Qiao; Xingping Xian; Lin Yuan 002; Canyixing Cui; Yanbing Liu (CoRR, 2024)

Explainable AI Security: Exploring Robustness of Graph Neural Networks to Adversarial Attacks. - Tao Wu 003; Canyixing Cui; Xingping Xian; Shaojie Qiao; Chao Wang 025; Lin Yuan 002; Shui Yu 001 (CoRR, 2024)

GraphGI:A GNN Explanation Method using Game Interaction. - Xingping Xian; Jianlu Liu; Tao Wu 003; Lin Yuan 002; Chao Wang 025; Baiyun Chen (CoRR, 2024)

Multiview-Ensemble-Learning-Based Robust Graph Convolutional Networks Against Adversarial Attacks. - Tao Wu 003; Junhui Luo; Shaojie Qiao; Chao Wang 025; Lin Yuan 002; Xiao Pu 002; Xingping Xian (IEEE Internet Things J., 2024)

Towards deep understanding of graph convolutional networks for relation extraction. - Tao Wu 003; Xiaolin You; Xingping Xian; Xiao Pu 002; Shaojie Qiao; Chao Wang 025 (Data Knowl. Eng., 2024)

MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction. - Rui Han 001; Qun Liu 005; Xu Gong; Guoyin Wang 001; Li Liu 030; Xingping Xian (Appl. Soft Comput., 2025)

Understanding the robustness of graph neural networks against adversarial attacks. - Tao Wu 003; Canyixing Cui; Xingping Xian; Shaojie Qiao; Chao Wang 025; Lin Yuan 002; Shui Yu 001 (Knowl. Based Syst., 2025)

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks. - Mao Wang; Tao Wu 003; Xingping Xian; Shaojie Qiao; Weina Niu; Canyixing Cui (CoRR, 2025)