Jiazhi Li

According to our database, Jiazhi Li authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Neural Geometry Image-Based Representations with Optimal Transport (OT).

Xiang Gao, Yuanpeng Liu, Jiazhi Li, Xinmu Wang, Minghao Guo, Yu Guo, Xiyun Song, Heather Yu, Zhiqiang Lao, Xianfeng David Gu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Inverse Rendering for High-Genus Surface Meshes from Multi-View Images.

Xiang Gao, Xinmu Wang, Xiaolong Wu, Jiazhi Li, Jingyu Shi, Yu Guo, Yuanpeng Liu, Xiyun Song, Heather Yu, Zongfang Lin, Xianfeng David Gu

CoRR, November, 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

Enhancing Diversity in Text-to-Image Generation without Compromising Fidelity.

Jiazhi Li, Mi Zhou, Mahyar Khayatkhoei, Jingyu Shi, Xiang Gao, Jiageng Zhu, Hanchen Xie, Xiyun Song, Zongfang Lin, Heather Yu, Jieyu Zhao

Trans. Mach. Learn. Res., 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

OccludeNeRF: Geometry-aware 3D Scene Inpainting with Collaborative Score Distillation in NeRF.

Jingyu Shi, Achleshwar Luthra, Jiazhi Li, Xiang Gao, Xiyun Song, Zongfang Lin, Xianfeng David Gu, Heather Yu

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

Piecewise Reinforcement Learning for Hybrid Systems.

Mi Zhou, Jiazhi Li, Masood Mortazavi, Ning Yan, Chaouki T. Abdallah

Proceedings of the 11th International Conference on Control, 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

CAT: Controllable Attribute Translation for Fair Facial Attribute Classification.

Jiazhi Li, Wael Abd-Almageed

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition.

Jiazhi Li, Wael Abd-Almageed

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021