| 2025 | CVPR | 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 |
| 2025 | ICASSP | 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 |
| 2024 | BMVC | 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 |
| 2024 | ECCV | An Investigation on The Position Encoding in Vision-Based Dynamics Prediction. | Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed |
| 2023 | ICML | 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 |
| 2022 | ECCV | Weakly Supervised Invariant Representation Learning via Disentangling Known and Unknown Nuisance Factors. | Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed |
| 2022 | ECCV | SW-VAE: Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping. | Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed |
| 2021 | ICCV | Partner-Assisted Learning for Few-Shot Image Classification. | Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed |
| 2021 | WACV | MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization. | Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed |