20 citations · 23 across the 3 of their papers we have counts for
4 papers
Lightweight image super-resolution with enhanced CNN
Chunwei Tian, Ruibin Zhuge, Zhihao Wu +4
Deep convolutional neural networks (CNNs) with strong expressive ability have achieved impressive performances on single image super-resolution (SISR). However, their excessive amo…
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li +3
The medical imaging literature has witnessed remarkable progress in high-performing segmentation models based on convolutional neural networks. Despite the new performance highs, t…
Improving local clustering based top-L link prediction methods via asymmetrical link clustering information
Zhihao Wu, Youfang Lin, Yiji Zhao +1
Networks can represent a wide range of complex systems, such as social, biological and technological systems. Link prediction is one of the most important problems in network analy…
A parameter free similarity index based on clustering ability for link prediction in complex networks
Zhihao Wu, Youfang Lin, Yao Zhao
Link prediction in complex network based on solely topological information is a challenging problem. In this paper, we propose a novel similarity index, which is efficient and para…