Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. - Chen Zhao 010; Feng Mi; Xintao Wu; Kai Jiang 002; Latifur Khan; Feng Chen 001 (KDD, 2022)

Towards Fair Disentangled Online Learning for Changing Environments. - Chen Zhao 010; Feng Mi; Xintao Wu; Kai Jiang 002; Latifur Khan; Christan Grant; Feng Chen 001 (KDD, 2023)

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. - Haoliang Wang; Chen Zhao 010; Yunhui Guo; Kai Jiang 002; Feng Chen 001 (CoRR, 2023)

Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. - Chen Zhao 010; Kai Jiang 002; Xintao Wu; Haoliang Wang; Latifur Khan; Christan Grant; Feng Chen 001 (CoRR, 2023)

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. - Chen Zhao 010; Kai Jiang 002; Xintao Wu; Haoliang Wang; Latifur Khan; Christan Grant; Feng Chen 001 (KDD, 2024)

FEED: Fairness-Enhanced Meta-Learning for Domain Generalization. - Kai Jiang 002; Chen Zhao 010; Haoliang Wang; Feng Chen 001 (CoRR, 2024)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. - Chen Zhao 010; Feng Mi; Xintao Wu; Kai Jiang 002; Latifur Khan; Feng Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)