Weakly Supervised Invariant Representation Learning via Disentangling Known and Unknown Nuisance Factors. - Jiageng Zhu; Hanchen Xie; Wael Abd-Almageed (ECCV Workshops (8), 2022)

SW-VAE: Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping. - Jiageng Zhu; Hanchen Xie; Wael Abd-Almageed (ECCV Workshops (2), 2022)

Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength. - Jiageng Zhu; Hanchen Xie; Wael AbdAlmageed (CoRR, 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)

Efficiently Mitigating Video Content Misalignment on Large Vision Model with Time-Series Data Alignment. - Hanchen Xie; Rose Ma; Jiageng Zhu; Zheda Mai; Wael Abd-Almageed; Zubin Abraham (CVPR Workshops, 2025)

Attention-Driven Causal Discovery: From Transformer Matrices to Granger Causal Graphs for Non-Stationary Time-series Data. - Jiageng Zhu; Kehao Li; Zheda Mai; Hanchen Xie; Wael AbdAlmageed; Zubin Abraham (ICASSP, 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)