| Sw-vae: Weakly supervised learn disentangled representation via latent factor swapping J Zhu, H Xie, W Abd-Almageed European Conference on Computer Vision, 73-87, 2022 | 4 | 2022 |
| Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks J Li, M Khayatkhoei, J Zhu, H Xie, ME Hussein, W AbdAlmageed arXiv preprint arXiv:2310.04955, 2023 | 2 | 2023 |
| Do-operation guided causal representation learning with reduced supervision strength J Zhu, H Xie, W AbdAlmageed arXiv preprint arXiv:2206.01802, 2022 | 2 | 2022 |
| Weakly Supervised Invariant Representation Learning via Disentangling Known and Unknown Nuisance Factors J Zhu, H Xie, W Abd-Almageed European Conference on Computer Vision, 382-395, 2022 | 1 | 2022 |
| SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering J Li, M Khayatkhoei, J Zhu, H Xie, ME Hussein, W AbdAlmageed arXiv preprint arXiv:2311.07141, 2023 | | 2023 |
| Shadow Datasets, New challenging datasets for Causal Representation Learning J Zhu, H Xie, J Wu, J Li, M Khayatkhoei, ME Hussein, W AbdAlmageed arXiv preprint arXiv:2308.05707, 2023 | | 2023 |
| A critical view of vision-based long-term dynamics prediction under environment misalignment H Xie, J Zhu, M Khayatkhoei, J Li, ME Hussein, W AbdAlmageed International Conference on Machine Learning, 38258-38271, 2023 | | 2023 |
| Reconstruction for disentanglement, Contrast for invariance J Zhu, H Xie, W AbdAlmageed | | 2021 |
Hanchen XieUniversity of Southern CaliforniaVerified email at usc.edu
