Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition. - Jiazhi Li 001; Wael Abd-Almageed (FG, 2021)

CAT: Controllable Attribute Translation for Fair Facial Attribute Classification. - Jiazhi Li 001; Wael Abd-Almageed (ECCV Workshops (8), 2022)

A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment. - Hanchen Xie; Jiageng Zhu; Mahyar Khayatkhoei; Jiazhi Li 001; Mohamed E. Hussein 001; Wael AbdAlmageed (ICML, 2023)

Shadow Datasets, New challenging datasets for Causal Representation Learning. - Jiageng Zhu; Hanchen Xie; Jianhua Wu; Jiazhi Li 001; Mahyar Khayatkhoei; Mohamed E. Hussein 001; Wael AbdAlmageed (CoRR, 2023)

Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks. - Jiazhi Li 001; Mahyar Khayatkhoei; Jiageng Zhu; Hanchen Xie; Mohamed E. Hussein 001; Wael AbdAlmageed (CoRR, 2023)

SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering. - Jiazhi Li 001; Mahyar Khayatkhoei; Jiageng Zhu; Hanchen Xie; Mohamed E. Hussein 001; Wael AbdAlmageed (CoRR, 2023)

Multi-Scope Representation Learning for Causal Relation Discovery with new Challenging Datasets. - Jiageng Zhu; Hanchen Xie; Jianhua Wu; Mohamed E. Hussein 001; Mahyar Khayatkhoei; Jiazhi Li 001; Wael AbdAlmageed (BMVC, 2024)

An Investigation on The Position Encoding in Vision-Based Dynamics Prediction. - Jiageng Zhu; Hanchen Xie; Jiazhi Li 001; Mahyar Khayatkhoei; Wael AbdAlmageed (ECCV Workshops (21), 2024)

DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations. - Jiageng Zhu; Hanchen Xie; Jiazhi Li 001; Wael Abd-Almageed (CoRR, 2024)

Look, Learn and Leverage (L3): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment. - Hanchen Xie; Jiageng Zhu; Mahyar Khayatkhoei; Jiazhi Li 001; Wael AbdAlmageed (CoRR, 2024)

OccludeNeRF: Geometry-aware 3D Scene Inpainting with Collaborative Score Distillation in NeRF. - Jingyu Shi; Achleshwar Luthra; Jiazhi Li 001; Xiang Gao; Xiyun Song; Zongfang Lin; Xianfeng David Gu; Heather Yu (CVPR Workshops, 2025)

Fairness and Disentanglement: A Critical Review of Predominant Bias in Neural Networks. - Jiazhi Li 001; Mahyar Khayatkhoei; Jiageng Zhu; Hanchen Xie; Mohamed E. Hussein 001; Wael AbdAlmageed (Trans. Mach. Learn. Res., 2025)

A Critical Review of Predominant Bias in Neural Networks. - Jiazhi Li 001; Mahyar Khayatkhoei; Jiageng Zhu; Hanchen Xie; Mohamed E. Hussein 001; Wael AbdAlmageed (CoRR, 2025)