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Article
Mutation-driven and population grou** PRO algorithm for scheduling budget-constrained workflows in the cloud
Benefiting from cloud computing’s elasticity, scalability, and pay-per-use model, more and more scientific applications are deployed in or migrated to the cloud. Workflow scheduling still faces many challenges...
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Article
Hybrid attention network and center-guided non-maximum suppression for occluded face detection
The face detection technique has obtained significant development with the huge application of convolutional neural networks. However, various types of occlusion are widespread in face detection, inevitably de...
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Article
Weighted double deep Q-network based reinforcement learning for bi-objective multi-workflow scheduling in the cloud
As a promising distributed paradigm, cloud computing provides a cost-effective deploying environment for hosting scientific applications due to its provisioning elastic, heterogeneous resources in a pay-per-us...
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Chapter and Conference Paper
Zero-Shot Face Swap** with De-identification Adversarial Learning
In this paper, we propose a Zero-shot Face Swap** Network (ZFSNet) to swap novel identities where no training data is available, which is very practical. In contrast to many existing methods that consist of ...
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Chapter and Conference Paper
Design of ‘Floating, Medium and Sinking’ Pressure Simulation System for Remote Reduction of Pulse Condition in TCM
In order to solve the problem of simulating ‘floating, medium and sinking’ in remote diagnosis of TCM (Traditional Chinese Medicine), we designed a set of ‘floating, medium and sinking’ pressure simulation sys...
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Article
Multi-view CSPMPR-ELM feature learning and classifying for RGB-D object recognition
In order to fully utilize potential feature information of RGB-D images, current popular algorithms mainly use convolutional neural network (CNN) to execute both feature extraction and classification. Such met...
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Article
No-reference image quality assessment with center-surround based natural scene statistics
In this paper, we propose an efficient no-reference image quality assessment (NR-IQA) method dubbed Center-Surround based Blind Image Quality Assessment (CS-BIQA). Our proposed method employs the Difference of...
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Chapter and Conference Paper
Information-Accuracy-Aware Jointly Sensing Nodes Selection in Wireless Sensor Networks
A key issue in wireless sensor networks (WSNs) is to select a set of sensors to join sensing task under some physical resource constraints while achieving a required information accuracy. This paper introduces...