no code implementations • 7 Sep 2023 • Rong Du, Duy-Minh Dang
This paper introduces FourNet, a novel single-layer feed-forward neural network (FFNN) method designed to approximate transition densities for which closed-form expressions of their Fourier transforms, i. e. characteristic functions, are available.
1 code implementation • 28 Dec 2021 • Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding
In TAGPerson, we extract information from target scenes and use them to control our parameterized rendering process to generate target-aware synthetic images, which would hold a smaller gap to the real images in the target domain.
1 code implementation • 6 Jul 2021 • Huafeng Yang, Qijie Shen, Xingjian Chen, Fangyi Zhang, Rong Du
Although imbalance problem has been extensively studied, the impact of imbalanced data on GCN- based linkage prediction task is quite different, which would cause problems in two aspects: imbalanced linkage labels and biased graph representations.
no code implementations • 23 Mar 2020 • Rong Du, Sindri Magnússon, Carlo Fischione
To ensure communication efficiency, this article proposes to model the measurement compression at IoT nodes and the inference at the base station or cloud as a deep neural network (DNN).