8 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Qing-**ang Wang
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Article
Open AccessMulti-view Heterogeneous Graph Neural Networks for Node Classification
Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been proposed for processing heterogeneous graphs, which are termed Hete...
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Article
Open AccessPotential factors-embedding group recommendation for online education
Online education platform urgently needs recommendation methods to service learning groups. The existing group recommendation methods rely on member preference aggregation. However, potential factors such as t...
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Article
Open AccessLiquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma
Recent studies have shown that immunotherapies, including peptide vaccines, remain promising strategies for patients with lower grade glioma (LGG); however new biomarkers need to be developed to identify patie...
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Article
Open AccessToward Enhancing Room Layout Estimation by Feature Pyramid Networks
As a fundamental part of indoor scene understanding, the research of indoor room layout estimation has attracted much attention recently. The task is to predict the structure of a room from a single image. In ...
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Article
Open AccessTumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development
Glioblastoma (GBM) is the most common primary brain tumor in adults and is notorious for its lethality. Given its limited therapeutic measures and high heterogeneity, the development of new individualized ther...
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Chapter and Conference Paper
Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance
While ATM provides us convenient banking services, it has great security risks. The authentication of only password requiring is not safe enough. With the rapid development of face recognition technology based...
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Chapter and Conference Paper
Shared Structure Learning for Multiple Tasks with Multiple Views
Real-world problems usually exhibit dual-heterogeneity, i.e., every task in the problem has features from multiple views, and multiple tasks are related with each other through one or more shared views. To sol...
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Chapter and Conference Paper
A Semantic Portal for Next Generation Monitoring Systems
We present a semantic technology-based approach to emerging monitoring systems based on our linked data approach in the Tetherless World Constellation Semantic Ecology and Environment Portal (SemantEco). Our i...
