Fair and Privacy-Preserving Graph Neural Network. - Xuemin Wang 003; Tianlong Gu; Xuguang Bao; Liang Chang 003 (DASFAA (4), 2023)

Individual fairness for local private graph neural network. - Xuemin Wang 003; Tianlong Gu; Xuguang Bao; Liang Chang 003; Long Li 005 (Knowl. Based Syst., 2023)

Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes. - Xuemin Wang 003; Lei Wang; Tianlong Gu; Xuguang Bao (ACML, 2024)

BIGFR: Bridging Individual and Group Fairness in Recommendation Systems. - Yaorui Gan; Xuemin Wang 003; Tieyuan Liu; Liang Chang 003; Qicang Gen; Yu Zeng (ICASSP, 2025)

Towards Fair Graph Neural Networks via Graph Counterfactual Without Sensitive Attributes. - Xuemin Wang 003; Tianlong Gu; Xuguang Bao; Liang Chang 003 (ICDE, 2025)

GRIF-PPGNN: Group equality informed Ranking-based Individual Fairness for Privacy-Preserving Graph Neural Network. - Xuemin Wang 003; Yunhui Li; Tianlong Gu; Xuguang Bao; Liang Chang 003; Guoyong Cai; Tieyuan Liu (Neurocomputing, 2025)

SCARE: A Novel Framework to Enhance Chinese Harmful Memes Detection. - Tianlong Gu; Mingfeng Feng; Xuan Feng; Xuemin Wang 003 (IEEE Trans. Affect. Comput., 2025)