27 citations · 29 across the 9 of their papers we have counts for
10 papers
FRPSS: Feature Rearrangement in Pre-Shape Space for Single-Image Generation
Yuexing Han, Haoxuan Zhang, Bing Wang
Generative models trained on a single image often struggle to balance global structural integrity and local diversity. Existing single-image generation methods commonly rely on ran…
FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory
Yuexing Han, Ruijie Li
Deep learning models have been widely applied across various domains and industries. However, many fields still face challenges due to limited and insufficient data. This paper pro…
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…
Random walks in time-varying networks with memory
Bing Wang, Hongjuan Zeng, Yuexing Han
Random walks process on networks plays a fundamental role in understanding the importance of nodes and the similarity of them, which has been widely applied in PageRank, informatio…