no code implementations • 6 May 2024 • Ying Zhuansun, Dandan Li, Xiaohong Huang, Caijun Sun
Recently, scholars have achieved the communication efficiency of federated learning mainly by model compression.
no code implementations • 6 Oct 2022 • Zhifang Deng, Xiaohong Huang, Dandan Li, Xueguang Yuan
The FedGraph takes three factors into account from coarse to fine: the proportion of each local dataset size, the topology factor of model graphs, and the model weights.
1 code implementation • 15 Sep 2021 • Xiaohong Huang, Zhifang Deng, Dandan Li, Xueguang Yuan
The CNN-based methods have achieved impressive results in medical image segmentation, but it failed to capture the long-range dependencies due to the inherent locality of convolution operation.
Ranked #10 on Medical Image Segmentation on Synapse multi-organ CT (using extra training data)
no code implementations • 1 Mar 2020 • Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung
At present, the most effective and widely-used activation function is ReLU.
no code implementations • 1 Nov 2019 • Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung
Convolutional neural networks (CNNs) are inherently suffering from massively redundant computation (FLOPs) due to the dense connection pattern between feature maps and convolution kernels.
no code implementations • 5 Oct 2018 • Qijun Zhu, Dandan Li, Dik Lun Lee
Different from existing centralized information retrieval (IR) methods, in which search is done on a logically centralized document collection, FTR is composed of a number of peers, each of which is a complete search engine by itself.
no code implementations • 24 Sep 2018 • Douglas Summers-Stay, Peter Sutor, Dandan Li
Representing meaning in the form of high dimensional vectors is a common and powerful tool in biologically inspired architectures.
no code implementations • 1 Jul 2018 • Kai Zhao, Wei Shen, ShangHua Gao, Dandan Li, Ming-Ming Cheng
In natural images, the scales (thickness) of object skeletons may dramatically vary among objects and object parts.
no code implementations • 5 Jan 2018 • Kai Zhao, Wei Shen, Shang-Hua Gao, Dandan Li, Ming-Ming Cheng
In natural images, the scales (thickness) of object skeletons may dramatically vary among objects and object parts, making object skeleton detection a challenging problem.
Ranked #2 on Object Skeleton Detection on SK-LARGE