11 Result(s)
within
Chapter
Conference Paper
Shao**ang Zhang
Computer Science
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Chapter and Conference Paper
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
Recently, Graph Neural Networks (GNNs) achieve remarkable success in Recommendation. To reduce the influence of data sparsity, Graph Contrastive Learning (GCL) is adopted in GNN-based CF methods for enhancing ...
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Chapter and Conference Paper
Toward More Accurate Heterogeneous Iris Recognition with Transformers and Capsules
As diverse iris capture devices have been deployed, the performance of iris recognition under heterogeneous conditions, e.g., cross-spectral matching and cross-sensor matching, has drastically degraded. Nevert...
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Chapter and Conference Paper
Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification
Cross-domain sentiment classification uses useful information of the source domain to promote the classification accuracy of the target domain. Although previous approaches consider the effects of aspect infor...
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Chapter and Conference Paper
Discriminative Representation Learning for Cross-Domain Sentiment Classification
Cross-domain sentiment classification aims to solve the lack of labeled data in the target domain by using the knowledge of the source domain. Most existing approaches mainly focus on learning transferable fea...
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Chapter and Conference Paper
Category-Level Adversarial Network for Cross-Domain Sentiment Classification
Cross-domain sentiment classification utilizes useful information in the source domain to improve the sentiment classification accuracy in the target domain which has few or no labeled data. Most existing meth...
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Chapter and Conference Paper
Affinely Registered Multi-object Atlases as Shape Prior for Grid Cut Segmentation of Lumbar Vertebrae from CT Images
In this paper, we present a method for automatic segmentation of lumbar vertebrae from a given lumbar spinal CT image. More specifically, our automatic lumbar vertebrae segmentation method consists of two step...
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Chapter and Conference Paper
Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition
This paper proposes a convexity-preserving level set (CPLS) and a novel modeling of the heart named Convex Shape Decomposition (CSD) for segmentation of Left Ventricle (LV) and Right Ventricle (RV) from cardia...
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Chapter and Conference Paper
Research on How to Use OUC Cloud Classroom to Assist Education Development in Tibet
In response to the educational needs in promoting development in Tibet, this paper proposes a set of educational path milestones to assist development in Tibet, including essential factors such as the building...
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Chapter and Conference Paper
Edge Based Segmentation of Left and Right Ventricles Using Two Distance Regularized Level Sets
In this paper, we present a new approach for segmentation of left and right ventricles from cardiac MR images. A two-level-set formulation is proposed which is the extension of distance regularized level set e...
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Chapter and Conference Paper
Design on Early Warning System of CO2 Sequestration Leakage Based on Web GIS and WSN
For the leakage risk of sequestration CO2, we use the wireless sensor for monitoring data, such as CO2 concentration, the wind speed, and then the data are transmitted to the on-line monitoring system. Through...
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Chapter and Conference Paper
Minimizing Maximum Lateness on Identical Parallel Batch Processing Machines
We consider the problem of scheduling n jobs with release dates on m identical parallel batch processing machines so as to minimize the maximum lateness. Each batch processing machine can process up to B (B<n) jo...
