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Article
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning
Temporal graph networks (TGNs) have been proposed to facilitate learning on dynamic graphs which are composed of interaction events among nodes. However, existing TGNs suffer from poor generalization under dis...
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Chapter and Conference Paper
Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis
Understanding the characteristics of workloads is essential to improving the management of a High Performance Computing (HPC) cluster. However, due to the restrictions of privacy and confidentiality, real HPC ...
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Article
Exercise recommendation method based on knowledge tracing and concept prerequisite relations
With the development of technology, the teaching environment has changed greatly. As an educational resource, exercise plays an important role in students’ personalized learning service. Therefore, how to reco...
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Article
Transformer-based networks over tree structures for code classification
In software engineering (SE), code classification and related tasks, such as code clone detection are still challenging problems. Due to the elusive syntax and complicated semantics in software programs, exist...
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Chapter and Conference Paper
Low Overlap** Plant Point Cloud Registration and Splicing Method Based on FPFH
Three-dimensional point clouds captured by sensors can quantify plant phenotype, which plays an important role in agricultural intelligence. Many scanned objects in agriculture and forestry are tall and obscur...
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Article
A unified hybrid compact model of β-Ga2O3 Schottky barrier diodes for mixer and rectifier applications
We develop a unified hybrid compact model of a different structure β-Ga2O3 SBDs for full-wave rectifier and mixer applications. The model results are compared with experimental data, and a good match was attained...
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Chapter and Conference Paper
Fast Training of POI Recommendation Models Using Gradient Compression
Point-of-Interest (POI) recommendation plays an important role in location-based services. Regarding POI recommendation as a trajectory prediction problem, attention-based models have shown promising achieveme...
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Chapter and Conference Paper
A Performance Benchmark for Stream Data Storage Systems
Modern business intelligence relies on efficient processing on very large amount of stream data, such as various event logging and data collected by sensors. To meet the great demand for stream processing, man...
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Chapter and Conference Paper
Design and Control of a Novel Series Elastic Actuator for Knee Exoskeleton
The Series Elastic Actuator (SEA), as the power source of the exoskeleton robot, can greatly improve the flexibility of the exoskeleton robot, thus, improving the comfort and safety of human-computer interacti...
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Chapter and Conference Paper
Using Two Formal Strategies to Eliminate Ambiguity in Poetry Text
The purpose of this paper is to compare the two major types of formalization strategies through the disambiguation of natural language textual ambiguities. The method is: The first step is to select the same t...
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Chapter and Conference Paper
A Multifaceted Model for Cross Domain Recommendation Systems
Recommendation systems (RS) play an important role in directing customers to their favorite items. Data sparsity, which usually leads to overfitting, is a major bottleneck for making precise recommendations. S...
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Chapter and Conference Paper
Man-Machine Interaction for an Unmanned Tower Crane Using Wireless Multi-Controller
Operator cab is one of the important components of a tower crane, which is used to obtain sufficient quality feedback information from tower crane and ground observers. However, there are two main drawbacks of...
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Article
SPLZ: An efficient algorithm for single source shortest path problem using compression method
Efficient solution of the single source shortest path (SSSP) problem on road networks is an important requirement for numerous real-world applications. This paper introduces an algorithm for the SSSP problem u...
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Chapter and Conference Paper
Design, Conduct and Analysis of a Biased Voting Experiment on Human Behavior
To explore whether and how different social activities and phenomena, network structures and incentive machanisms could influent human behavior in social networks, Prof. Kearns and his colleagues conducted a s...
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Article
Efficient processing of top-k queries: selective NRA algorithms
Efficient processing of top-k queries has drawn increasing attention from both industry and academia due to its varied applications. Lower access cost is a crucial concern for a top-k query processing. Typically,...
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Article
Layer-by-layer assembly carbon nanotubes thin film based gas sensors for ammonia detection
Single walled carbon nanotubes (SWNTs) were deposited on interdigital electrode (IDE) devices and quartz crystal microbalance (QCM) devices through layer-by-layer self-assembly method to fabricate resistance s...
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Chapter and Conference Paper
Efficient Pipelining Parallel Methods for Image Compositing in Sort-Last Rendering
It is well known that image compositing is the bottleneck in Sort-Last rendering. Many methods have been developed to reduce the compositing time. In this paper, we present a series of pipeline methods for ima...
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Chapter and Conference Paper
Chinese Calligraphy Character Image Synthesis Based on Retrieval
Chinese calligraphy works is a valuable culture heritage written by soft brush. They were scanned into image format, stored in computer in order to enable universal and convenient access. However, the retrieve...
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Chapter and Conference Paper
Parallel Algorithms for Solving Markov Decision Process
Markov decision process (MDP) provides the foundations for a number of problems, such as artificial intelligence studying, automated planning and reinforcement learning. MDP can be solved efficiently in theory...
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Article
Models of parallel computation: a survey and classification
In this paper, the state-of-the-art parallel computational model research is reviewed. We will introduce various models that were developed during the past decades. According to their targeting architecture fe...