Fair Multiple Decision Making Through Soft Interventions. - Yaowei Hu 001; Yongkai Wu; Lu Zhang 021; Xintao Wu (NeurIPS, 2020)

A Generative Adversarial Framework for Bounding Confounded Causal Effects. - Yaowei Hu 001; Yongkai Wu; Lu Zhang 021; Xintao Wu (AAAI, 2021)

Achieving Long-Term Fairness in Sequential Decision Making. - Yaowei Hu 001; Lu Zhang 021 (AAAI, 2022)

Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning. - Yaowei Hu 001; Jacob Lear; Lu Zhang 021 (IEEE Big Data, 2023)

Long-Term Fair Decision Making through Deep Generative Models. - Yaowei Hu 001; Yongkai Wu; Lu Zhang 021 (AAAI, 2024)

Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach. - Yucong Dai; Xiangyu Jiang; Yaowei Hu 001; Lu Zhang 021; Yongkai Wu (IJCNN, 2024)

Causally Fair Node Classification on Non-IID Graph Data. - Yucong Dai; Lu Zhang 021; Yaowei Hu 001; Susan Gauch; Yongkai Wu (CoRR, 2025)