5,980 Result(s)
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Le**g Wang
Computer Systems Organization and Communication Networks
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Article
Open AccessAn agent-based persuasion model using emotion-driven concession and multi-objective optimization
Multi-attribute negotiation is essentially a multi-objective optimization (MOO) problem, where models of agent-based emotional persuasion (EP) can exhibit characteristics of anthropomorphism. This paper propos...
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REDQT: a method for automated mobile application GUI testing based on deep reinforcement learning algorithms
As mobile applications become increasingly prevalent in daily life, the demand for their functionality and reliability continues to grow. Traditional mobile application testing methods, particularly graphical ...
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Article
Mean Field Social Control for Production Output Adjustment with Noisy Sticky Prices
This paper is concerned with mean field social control for dynamic production adjustment. We first introduce a social control problem with many firms in a market, where the price is sticky and affected by rand...
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Open AccessMultiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and patients by providing accurate and complete patient informa...
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Cloud-native systems resilience assessments based on kubernetes architecture graph
Chaos engineering is a popular approach in cloud-native system resilience assessments. It uses fault injection to test if the system is still reliable. For Kubernetes platform, which is widely used for deployi...
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Opencl-pytorch: an OpenCL-based extension of PyTorch
Currently, most Deep Learning (DL) frameworks support only CUDA and ROCm environments, limiting their use to NVIDIA and AMD GPUs. Since current High-Performance Computing (HPC) usually uses different types of ...
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A survey of compute nodes with 100 TFLOPS and beyond for supercomputers
With the Frontier supercomputer ranked first on the Top500 list, it marks the era of exascale computing power for supercomputers, employing the compute nodes with double-precision floating-point performance ex...
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oclCUB: an OpenCL parallel computing library for deep learning operators
Deep learning (DL) mainly uses various parallel computing libraries to optimize the speed of model training. The underlying computations of the DL operators typically include essential functions such as reduct...
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Editorial for the special issue on programming models and system software for High-Performance Computing (HPC) environments
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A reweighting method for speech recognition with imbalanced data of Mandarin and sub-dialects
Automatic speech recognition (ASR) is an important technology in many fields like video-sharing services, online education and live broadcast. Most recent ASR methods are based on deep learning technology. A d...
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Towards a universal and portable assembly code size reduction: a case study of RISC-V ISA
The increasing sizes of modern applications significantly hinder user acquisition and updates, particularly in computing environments constrained by memory and storage capacities. To address this challenge, ou...
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Open AccessInference serving with end-to-end latency SLOs over dynamic edge networks
While high accuracy is of paramount importance for deep learning (DL) inference, serving inference requests on time is equally critical but has not been carefully studied especially when the request has to be ...
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Open AccessFrom data to insights: the application and challenges of knowledge graphs in intelligent audit
In recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning, legal research, and financial analysis. In traditional auditin...
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Mobile-Aware Service Function Chain Intelligent Seamless Migration in Multi-access Edge Computing
With the improvement of service delay and quality requirements for new applications such as unmanned driving, internet of vehicles, and virtual reality, the deployment of network services is gradually moving f...
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Offline policy reuse-guided anytime online collective multiagent planning and its application to mobility-on-demand systems
The popularity of mobility-on-demand (MoD) systems boosts online collective multiagent planning (Online_CMP), where spatially distributed servicing agents are planned to meet dynamically arriving demands. For ...
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Open AccessMTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices
The rapid advancement of microservice architecture in the cloud has led to the necessity of effectively detecting, classifying, and diagnosing run failures in microservice applications. Due to the high dynamic...
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Shifted window-based Transformer with multimodal representation for the systematic staging of rectal cancer
Systematic staging of rectal cancer aims to determine tumor invasion degree and lymph node metastasis (LNM) status. Artificial intelligence technologies can aid physicians in making more accurate therapeutic d...
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Building a Comprehensive Intent-Based Networking Framework: A Practical Approach from Design Concepts to Implementation
Intent-Based Networking (IBN) is an important step towards achieving network automation. Many challenges of today’s complex network management systems can be tackled by the solutions proposed by IBN. However, ...
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Coordination of networking and computing: toward new information infrastructure and new services mode
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Federated learning on non-IID and long-tailed data via dual-decoupling
Federated learning (FL), a cutting-edge distributed machine learning training paradigm, aims to generate a global model by collaborating on the training of client models without revealing local private data. T...
