43 Result(s)
within
**-Peng Li
Computer Science
Information Systems and Communication Service
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Article
Open AccessTwo-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...
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Article
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration
Cancer is one of the most deadly diseases in the world. Accurate cancer subtype classification is critical for patient diagnosis, treatment, and prognosis. Ever-increasing multi-omics data describes the charac...
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Article
Two-dimensional materials-based integrated hardware
In recent years, two-dimensional (2D) materials-based fundamental preparing process such as high-quality wafer-level single crystal thin film synthesis technology and high-performance electrode preparing techn...
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Article
A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images
As one of the key methods of Traditional Chinese Medicine inspection, tongue diagnosis manifests the advantages of simplicity and directness. Sublingual veins can provide essential information about human heal...
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Article
Advances in wide-tuning and narrow-linewidth external-cavity diode lasers
The external-cavity diode laser is advantageous in terms of low noise, high side-mode suppression ratio, high temperature stability, simple structure, and low cost, which has been the preferred scheme to reali...
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Chapter and Conference Paper
A Novel Outlier-Tolerable and Predictive Approach to Web Service Composition
The Quality-of-Service (QoS) aspects of Web service has gained popularity in the field of service computing. QoS-oriented Web service composition is a distributed model to construct new web service on top of e...
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Chapter and Conference Paper
Label Selection Algorithm Based on Iteration Column Subset Selection for Multi-label Classification
In multi-label classification, each sample can be associated with a set of class labels. When the number of labels grows to the hundreds or even thousands, existing multi-label classification methods often bec...
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Article
On the convergence and improvement of stochastic normalized gradient descent
Non-convex models, like deep neural networks, have been widely used in machine learning applications. Training non-convex models is a difficult task owing to the saddle points of models. Recently, stochastic n...
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Chapter and Conference Paper
A Novel Probabilistic-Performance-Aware Approach to Multi-workflow Scheduling in the Edge Computing Environment
Edge computing is a decentralized computing infrastructure in which data, calculation, storage and applications are located somewhere between the data source and the computing facilities. While the edge server...
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Chapter and Conference Paper
Decentralized M-Learning Platform with Trusted Execution Environment
With the rapid growth in E-learning, Mobile learning (M-learning) is one of the most widely used ways in distance education compare to the traditional classroom environment. However, Mobile learning has accent...
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Chapter and Conference Paper
Reactive Workflow Scheduling in Fluctuant Infrastructure-as-a-Service Clouds Using Deep Reinforcement Learning
As a promising and evolving computing paradigm, cloud computing benefits scientific computing-related computational-intensive applications, which usually orchestrated in terms of workflows, by providing unlimi...
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Chapter and Conference Paper
Adaptive Parameter Determination Method of Synchronous Motor Digital PI Regulator
The parameter adaptation of digital PI regulator of synchronous motor has great influence on the production and use of current electric and mechanical equipment. In order to optimize the effect of synchronous ...
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Chapter and Conference Paper
Research on Active Learning Method Based on Domain Adaptation and Collaborative Training
In recent years, more and more deep learning technologies have been widely applied in various fields, such as intelligent medical, intelligent manufacturing, to realize the intelligence of various systems. In ...
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Chapter and Conference Paper
Integral Imaging Tabletop 3D Display System Based on Compound Lens Array
Tabletop 3D display is a new type of display that gives a collaborative way for multiple viewers standing or sitting in lateral 360° viewing zone. One important technique for tabletop 3D display is integral im...
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Chapter and Conference Paper
MTNAS: Search Multi-task Networks for Autonomous Driving
Multi-task learning (MTL) aims to learn shared representations from multiple tasks simultaneously, which has yielded outstanding performance in widespread applications of computer vision. However, existing mul...
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Chapter and Conference Paper
Optimized CNN with Point-Wise Parametric Rectified Linear Unit for Spatial Image Steganalysis
The convolutional neural network (CNN) based image steganalyzers have evolved remarkably over the past few years, and designing suitable CNN structures has been currently the fundamental method to improve the...
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Chapter and Conference Paper
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition
State-of-the-art approaches to video-based action and gesture recognition often employ two key concepts: First, they employ multistream processing; second, they use an ensemble of convolutional networks. We im...
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Article
Advances in narrow linewidth diode lasers
The smart travel era has come and requirement for high precision lidar detection technology is higher and higher. The new solid-state lidars can meet the requirements of intelligent cars in the future, with th...
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Chapter and Conference Paper
Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank
We propose an innovative machine learning paradigm enabling precision medicine for AD biomarker discovery. The paradigm tailors the imaging biomarker discovery process to individual characteristics of a given ...
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Chapter and Conference Paper
Design of Security Alarm System Based on LoRa Technology
At present, in order to overcome the shortcomings of traditional wired cabling and deployment, including complex construction and high cost, most of the security alarm systems employ ZigBee, Wi-Fi and other wi...
