Hanchen Xie

According to our database, Hanchen Xie authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Critical Review of Predominant Bias in Neural Networks.

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed

CoRR, February, 2025

Fairness and Disentanglement: A Critical Review of Predominant Bias in Neural Networks.

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed

Trans. Mach. Learn. Res., 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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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, Wael AbdAlmageed

CoRR, 2024

DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations.

Jiageng Zhu, Hanchen Xie, Jiazhi Li, Wael Abd-Almageed

CoRR, 2024

An Investigation on The Position Encoding in Vision-Based Dynamics Prediction.

Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Multi-Scope Representation Learning for Causal Relation Discovery with new Challenging Datasets.

Jiageng Zhu, Hanchen Xie, Jianhua Wu, Mohamed E. Hussein, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed

Proceedings of the 35th British Machine Vision Conference, 2024

2023

SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering.

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed

CoRR, 2023

Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks.

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed

CoRR, 2023

Shadow Datasets, New challenging datasets for Causal Representation Learning.

Jiageng Zhu, Hanchen Xie, Jianhua Wu, Jiazhi Li, Mahyar Khayatkhoei, Mohamed E. Hussein, Wael AbdAlmageed

CoRR, 2023

A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment.

Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael AbdAlmageed

Proceedings of the International Conference on Machine Learning, 2023

2022

Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength.

Jiageng Zhu, Hanchen Xie, Wael AbdAlmageed

CoRR, 2022

SW-VAE: Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping.

Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Weakly Supervised Invariant Representation Learning via Disentangling Known and Unknown Nuisance Factors.

Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization.

Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Partner-Assisted Learning for Few-Shot Image Classification.

Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021