27 citations · 29 across the 9 of their papers we have counts for
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cs.CV2023★ 1 cited
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han, Gan Hu, Guanxin Wan +1
Due to the constraints on model performance imposed by the size of the training data, data augmentation has become an essential technique in deep learning. However, most existing d…
cs.LG2023
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting
Junkai Mao, Yuexing Han, Gouhei Tanaka +1
Accurate epidemic forecasting is a critical task in controlling disease transmission. Many deep learning-based models focus only on static or dynamic graphs when constructing spati…
cs.LG2023★ 1 cited
MPSTAN: Metapopulation-based Spatio-Temporal Attention Network for Epidemic Forecasting
Junkai Mao, Yuexing Han, Bing Wang
Accurate epidemic forecasting plays a vital role for governments in developing effective prevention measures for suppressing epidemics. Most of the present spatio-temporal models c…