Zideng Feng

Orchestrating Generative AI Services in Ultra-Dense 6G Networks: A Mean Field Game Framework

Yuhao Chai, Zideng Feng, Zhenyu Zhang, Yinglei Teng et autres

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Distributed Inference Optimization for Large Language Model in Edge-Cloud Collaborative Networks

Zideng Feng, Lu Lu, Qin Li, Yuhao Chai et autres

With the progressive evolution of large language models (LLMs) and the increasing need of computing for$\mathbf{6 G}$, it becomes crucial for multiple network nodes with limited computing resources to share the need for large model inference. Model partition methods have been proposed …

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Le-BEiT: A Local-Enhanced Self-Supervised Transformer for Semantic Segmentation of High Resolution Remote Sensing Images

Yifei Huang, Zideng Feng, Junli Yang, Bin Wang et autres

Semantic segmentation for remote sensing images (RSI) has been a thriving research topic for a long time. Existing supervised learning methods usually require a huge amount of labeled data. Meanwhile, large size, variation in object scales, and intricate details in RSI make …

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Dual-Path Geometry-Aware Network for Semantic Segmentation of High-Resolution Aerial Images

Zhenglin Xian, Jiaying Wang, Junli Yang, Bin Wang et autres

Semantic segmentation of high-resolution aerial images is a fundamental research topic for its extensive applications. Different from natural scene datasets, the high-resolution aerial datasets provide additional elevation data such as Digital Surface Model (DSM). However, the current semantic segmentation methods of high-resolution …

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