1 citations · 2 across the 7 of their papers we have counts for
8 papers
Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloys
Lu Wang, Hongchan Chen, Bing Wang +3
In the field of materials science, exploring the relationship between composition, microstructure, and properties has long been a critical research focus. The mechanical performanc…
FAGStyle: Feature Augmentation on Geodesic Surface for Zero-shot Text-guided Diffusion Image Style Transfer
Yuexing Han, Liheng Ruan, Bing Wang
The goal of image style transfer is to render an image guided by a style reference while maintaining the original content. Existing image-guided methods rely on specific style refe…
Revealing the structure-property relationships of copper alloys with FAGC
Yuexing Han, Ruijie Li, Guanxin Wan +3
Cu-Cr-Zr alloys play a crucial role in electronic devices and the electric power industry, where their electrical conductivity and hardness are of great importance. However, due to…
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface
Yuexing Han, Liheng Ruan, Bing Wang
Images generated by most of generative models trained with limited data often exhibit deficiencies in either fidelity, diversity, or both. One effective solution to address the lim…
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…
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…
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…
Impact of individual behavioral changes on epidemic spreading in time-varying networks
Bing Wang, Zeyang Xie, Yuexing Han
Changs in individual behavior often entangles with the dynamic interaction of individuals, which complicates the epidemic process and brings great challenges for the understanding…