Xiangtao Zhang — accepted AI-conference papers

2025

MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices

Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Zenglin Shi, Ce Zhu +1

ICCV 2025poster

Recent advancements in deep neural networks have driven significant progress in image enhancement (IE). However, deploying deep learning models on resource-constrained platforms, such as mobile devices, remains challenging due to high computation and memory demands. To address these challenges and f…

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2025

Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning

Xiangtao Zhang, Sheng Li, Ao Li, Yipeng Liu, Fan Zhang, Ce Zhu +1

CVPR 2025poster

Heterogeneous Federated Learning (HFL) has received widespread attention due to its adaptability to different models and data. The HFL approach utilizing auxiliary models for knowledge transfer enhances flexibility. However, existing frameworks face the challenges of aggregation bias and local over…

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