32 Result(s)
within
Article
**-Peng Li
Computer Science
Information Systems Applications (incl. Internet)
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Article
Open AccessEfficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework
Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services. And cloud monitoring plays an integral role in protecting infrastructures in the clo...
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SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Novel artificial intelligence (AI) technology has expedited various scientific research, e.g., cosmology, physics, and bioinformatics, inevitably becoming a significant category of workload on high-performance...
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Enhancing Storage Efficiency and Performance: A Survey of Data Partitioning Techniques
Data partitioning techniques are pivotal for optimal data placement across storage devices, thereby enhancing resource utilization and overall system throughput. However, the design of effective partition sche...
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Research on General-Purpose Brain-Inspired Computing Systems
Brain-inspired computing is a new technology that draws on the principles of brain science and is oriented to the efficient development of artificial general intelligence (AGI), and a brain-inspired computing ...
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Open AccessResearch on electromagnetic vibration energy harvester for cloud-edge-end collaborative architecture in power grid
With the deepening of the construction of the new type power system, the grid has become increasingly complex, and its safe and stable operation is facing more challenges. In order to improve the quality and e...
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Evaluating RISC-V Vector Instruction Set Architecture Extension with Computer Vision Workloads
Computer vision (CV) algorithms have been extensively used for a myriad of applications nowadays. As the multimedia data are generally well-formatted and regular, it is beneficial to leverage the massive paral...
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Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
Fine-tuning pre-trained language models like BERT have become an effective way in natural language processing (NLP) and yield state-of-the-art results on many downstream tasks. Recent studies on adapting BERT ...
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PESTA: An Elastic Motion Capture Data Retrieval Method
Prevalent use of motion capture (MoCap) produces large volumes of data and MoCap data retrieval becomes crucial for efficient data reuse. MoCap clips may not be neatly segmented and labeled, increasing the dif...
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PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
Retinal images play an essential role in the early diagnosis of ophthalmic diseases. Automatic segmentation of retinal vessels in color fundus images is challenging due to the morphological differences between...
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Divergence and convergence of young children's touchscreen learning: a meta-analysis review
Touchscreen devices have become the mainstream terminals for human-information interaction and have great appeal to children. Scholars still have disputes on the effects of touchscreen learning in young childr...
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Open AccessSeisDeNet: an intelligent seismic data Denoising network for the internet of things
Deep learning (DL) has attracted tremendous interest in various fields in last few years. Convolutional neural networks (CNNs) based DL architectures have been successfully applied in computer vision, medical ...
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Efficient federated learning for fault diagnosis in industrial cloud-edge computing
Federated learning is a deep learning optimization method that can solve user privacy leakage, and it has positive significance in applying industrial equipment fault diagnosis. However, edge nodes in industri...
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Partial Label Learning via Conditional-Label-Aware Disambiguation
Partial label learning is a weakly supervised learning framework in which each instance is associated with multiple candidate labels, among which only one is the ground-truth label. This paper proposes a unifi...
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Enriching Context Information for Entity Linking with Web Data
Entity linking (EL) is the task of determining the identity of textual entity mentions given a predefined knowledge base (KB). Plenty of existing efforts have been made on this task using either “local” inform...
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ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation
Entity linking is a new technique in recommender systems to link users’ interaction behaviors in different domains, for the purpose of improving the performance of the recommendation task. Linking-based cross-...
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MPI-RCDD: A Framework for MPI Runtime Communication Deadlock Detection
The message passing interface (MPI) has become a de facto standard for programming models of high-performance computing, but its rich and flexible interface semantics makes the program easy to generate communi...
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Open AccessReliability and capability based computation offloading strategy for vehicular ad hoc clouds
In the Internet of Vehicles (IoV), with the increasing demand for intelligent technologies such as driverless driving, more and more in-vehicle applications have been put into autonomous driving. For the compu...
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DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering
In this paper, we present DEMC, a deep dual-encoder network to remove Monte Carlo noise efficiently while preserving details. Denoising Monte Carlo rendering is different from natural image denoising since ine...
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Scalable and Adaptive Joins for Trajectory Data in Distributed Stream System
As a fundamental operation in LBS (location-based services), the trajectory similarity of moving objects has been extensively studied in recent years. However, due to the increasing volume of moving object tra...
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Fast and Error-Bounded Space-Variant Bilateral Filtering
The traditional space-invariant isotropic kernel utilized by a bilateral filter (BF) frequently leads to blurry edges and gradient reversal artifacts due to the existence of a large amount of outliers in the l...
