1 code implementation • 31 Mar 2024 • Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
However, these methods face two primary limitations: the dispersed feature distribution within the same class in synthetic datasets, reducing class discrimination, and an exclusive focus on mean feature consistency, lacking precision and comprehensiveness.
no code implementations • 16 Aug 2023 • Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu
Graph neural networks (GNNs) are effective machine learning models for many graph-related applications.
no code implementations • 6 May 2023 • Gongbo Zhang, Sihua Chen, Kuihua Huang, Yijie Peng
We consider a simulation optimization problem for a context-dependent decision-making, which aims to determine the top-m designs for all contexts.