Xuemin Wang

Orcid: 0000-0002-5041-8443

Affiliations:
  • Guilin University of Electronic Technology, Guangxi Key Laboratory of Trusted Software, Guilin, China


According to our database1, Xuemin Wang authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Fairness-aware differentially private model training without sensitive attributes for face recognition.
Pattern Recognit., 2026

Towards unified frameworks for fair and privacy-preserving graph neural networks.
Neural Networks, 2026

CA-LDP: Community-aware local differential privacy for dynamic social networks.
Inf. Sci., 2026

Mitigating Popularity Bias for Two-Sided Fairness via Dual-Teacher Distillation in Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2026

FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
SCARE: A Novel Framework to Enhance Chinese Harmful Memes Detection.
IEEE Trans. Affect. Comput., 2025

GRIF-PPGNN: Group equality informed Ranking-based Individual Fairness for Privacy-Preserving Graph Neural Network.
Neurocomputing, 2025

A Dynamic Social Network Graph Anonymity Scheme with Community Structure Protection.
Comput. Mater. Continua, 2025

Towards Fair Graph Neural Networks via Graph Counterfactual Without Sensitive Attributes.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

BIGFR: Bridging Individual and Group Fairness in Recommendation Systems.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FairDP-GNN: Graph Neural Network with Group Fairness and Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes.
Proceedings of the Asian Conference on Machine Learning, 2024

2023
Individual fairness for local private graph neural network.
Knowl. Based Syst., 2023

Fair and Privacy-Preserving Graph Neural Network.
Proceedings of the Database Systems for Advanced Applications, 2023


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