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Mengli Wang

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Open access Oct 2026

Focus-and-Disperse: A Fine-to-Broad Context Aggregation for Image Inpainting

Although generative models have achieved impressive visual plausibility in image inpainting, they still face challenges in high-fidelity content restoration, as the generated structures may deviate from real-world appearances. In this paper, to achieve accurate inpainting results, we propose the Focus-and-Disperse Inpa...

Jia Qin, Yue Lv, Shuang-Jiao Zhai et al. · 0 citations
Open access Jul 2026

TA-STGAT: A Spatio-Temporal Graph Attention Network for Edge-State Prediction in Vehicular Edge Computing

Experimental results show that, compared with the best-performing baseline in terms of RMSE for each forecasting task, TA-STGAT reduces RMSE by 10.89% and 11.29% in workload-representation prediction and traffic flow prediction, respectively, demonstrating its effectiveness for short-term edge-state forecasting.

Qiong Shi, Wenwen Cheng, Mengli Wang · 0 citations

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