36 citations · 49 across the 7 of their papers we have counts for
9 papers
Residual Spatial Attention Network for Retinal Vessel Segmentation
Changlu Guo, Márton Szemenyei, Yugen Yi +2
Reliable segmentation of retinal vessels can be employed as a way of monitoring and diagnosing certain diseases, such as diabetes and hypertension, as they affect the retinal vascu…
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery
Junlin Li, Wei Zhou, Cheng Cheng
Sparse learning has been widely studied to capture critical information from enormous data sources in the filed of system identification. Often, it is essential to understand inter…
Rethinking Distributional Matching Based Domain Adaptation
Bo Li, Yezhen Wang, Tong Che +6
Domain adaptation (DA) is a technique that transfers predictive models trained on a labeled source domain to an unlabeled target domain, with the core difficulty of resolving distr…
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction
Chunyuan Yuan, Jiacheng Li, Wei Zhou +3
Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading predictio…
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
Dongjun Wei, Yaxin Liu, Fuqing Zhu +4
Withthegrowthofknowledgegraphs, entity descriptions are becoming extremely lengthy. Entity summarization task, aiming to generate diverse, comprehensive, and representative summari…
Dense Residual Network for Retinal Vessel Segmentation
Changlu Guo, Márton Szemenyei, Yugen Yi +3
Retinal vessel segmentation plays an imaportant role in the field of retinal image analysis because changes in retinal vascular structure can aid in the diagnosis of diseases such…