Jiageng Zhu

20 papers A* 1A 1Misc 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Critical Review of Predominant Bias in Neural Networks.
CoRR
Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2025 Misc conf
Attention-Driven Causal Discovery: From Transformer Matrices to Granger Causal Graphs for Non-Stationary Time-series Data.
ICASSP
Jiageng Zhu, Kehao Li, Zheda Mai, Hanchen Xie, Wael AbdAlmageed, Zubin Abraham
2025 — conf
Efficiently Mitigating Video Content Misalignment on Large Vision Model with Time-Series Data Alignment.
CVPR Workshops
Hanchen Xie, Rose Ma, Jiageng Zhu, Zheda Mai, Wael Abd-Almageed, Zubin Abraham
2025 J jnl
Enhancing Diversity in Text-to-Image Generation without Compromising Fidelity.
Trans. Mach. Learn. Res.
Jiazhi Li, Mi Zhou, Mahyar Khayatkhoei, Jingyu Shi, Xiang Gao, Jiageng Zhu, Hanchen Xie, Xiyun Song, Zongfang Lin, Heather Yu, Jieyu Zhao
2025 J jnl
Fairness and Disentanglement: A Critical Review of Predominant Bias in Neural Networks.
Trans. Mach. Learn. Res.
Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2024 — conf
An Investigation on The Position Encoding in Vision-Based Dynamics Prediction.
ECCV Workshops (21)
Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed
2024 J jnl
An Investigation on The Position Encoding in Vision-Based Dynamics Prediction.
CoRR
Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed
2024 J jnl
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations.
CoRR
Jiageng Zhu, Hanchen Xie, Jiazhi Li, Wael Abd-Almageed
2024 J jnl
Look, Learn and Leverage (L
CoRR
Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed
2024 A conf
Multi-Scope Representation Learning for Causal Relation Discovery with new Challenging Datasets.
BMVC
Jiageng Zhu, Hanchen Xie, Jianhua Wu, Mohamed E. Hussein, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed
2023 J jnl
A Critical View Of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment.
CoRR
Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael AbdAlmageed
2023 A* conf
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment.
ICML
Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael AbdAlmageed
2023 J jnl
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks.
CoRR
Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2023 J jnl
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering.
CoRR
Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2023 J jnl
Shadow Datasets, New challenging datasets for Causal Representation Learning.
CoRR
Jiageng Zhu, Hanchen Xie, Jianhua Wu, Jiazhi Li, Mahyar Khayatkhoei, Mohamed E. Hussein, Wael AbdAlmageed
2022 J jnl
Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength.
CoRR
Jiageng Zhu, Hanchen Xie, Wael AbdAlmageed
2022 J jnl
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping.
CoRR
Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed
2022 — conf
SW-VAE: Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping.
ECCV Workshops (2)
Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed
2022 J jnl
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors.
CoRR
Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed
2022 — conf
Weakly Supervised Invariant Representation Learning via Disentangling Known and Unknown Nuisance Factors.
ECCV Workshops (8)
Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed