Fairness Constraints in Semi-supervised Learning. - Tao Zhang 055; Tianqing Zhu; Mengde Han; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (CoRR, 2020)

Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. - Tao Zhang 055; Tianqing Zhu; Jing Li 009; Mengde Han; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

Fairness in graph-based semi-supervised learning. - Tao Zhang 055; Tianqing Zhu; Mengde Han; Fengwen Chen; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

Fair Federated Learning with Opposite GAN. - Mengde Han; Tianqing Zhu; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

Vertical Federated Unlearning via Backdoor Certification. - Mengde Han; Tianqing Zhu; Lefeng Zhang; Huan Huo; Wanlei Zhou 001 (IEEE Trans. Serv. Comput., 2025)