3 citations · 6 across the 10 of their papers we have counts for
15 papers
Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation
Ansong Li
Session-based recommendation is a practical recommendation task that predicts the next item based on an anonymous behavior sequence, and its performance relies heavily on the trans…
CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals
Jingyi Liu, Zhongyu Li, Xiayue Fan +5
Electrocardiogram (ECG) signals play critical roles in the clinical screening and diagnosis of many types of cardiovascular diseases. Despite deep neural networks that have been gr…
3DMNDT:3D multi-view registration method based on the normal distributions transform
Jihua Zhu, Di Wang, Jiaxi Mu +3
The normal distributions transform (NDT) is an effective paradigm for the point set registration. This method is originally designed for pair-wise registration and it will suffer f…
Effective multi-view registration of point sets based on student's t mixture model
Yanlin Ma, Jihua Zhu, Zhongyu Li +2
Recently, Expectation-maximization (EM) algorithm has been introduced as an effective means to solve multi-view registration problem. Most of the previous methods assume that each…
Multi-view Subspace Clustering Networks with Local and Global Graph Information
Qinghai Zheng, Jihua Zhu, Yuanyuan Ma +2
This study investigates the problem of multi-view subspace clustering, the goal of which is to explore the underlying grouping structure of data collected from different fields or…
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics
Dou Xu, Chang Cai, Chaowei Fang +3
Annotating histopathological images is a time-consuming andlabor-intensive process, which requires broad-certificated pathologistscarefully examining large-scale whole-slide images…