556 Result(s)
within
**aofei **
Computer Science
English
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Article
TimeLink: enabling dynamic runtime prediction for Flink iterative jobs
With the increasing growth of data scale and computing complexity, Flink, a novel distributed computing system, has been applied in various scenarios (e.g., machine learning) due to its excellent iterative nat...
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Article
Open AccessCorrelation analysis of energy consumption, carbon emissions and economic growth
In today's highly advanced industrialised and modernised world, China's economy is still growing, and its demand for energy is increasing daily. It is crucial to examine the connection between energy consumpti...
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Article
Indexing spatiotemporal trajectory data streams on key-value storage
In a trajectory management system, moving objects are typically equipped with GPS devices to report their locations to a data store. Given the potentially high frequency of location updates by multiple moving ...
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Article
Transformer in reinforcement learning for decision-making: a survey
Reinforcement learning (RL) has become a dominant decision-making paradigm and has achieved notable success in many real-world applications. Notably, deep neural networks play a crucial role in unlocking RL’s ...
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Article
A knowledge graph embedding model based on multi-level analogical reasoning
The existing knowledge graph embedding (KGE) models based on graph neural networks (GNNs) typically aggregate unreliable neighboring node information, leading to a decrease in the accuracy of inference results...
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Article
FPGA-based acceleration architecture for Apache Spark operators
Apache Spark has been the most popular in-memory processing framework for big data applications deployed in data centers. As a CPU-only parallel programming framework, Spark can satisfy the requirement of comp...
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Article
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction
Argument pair extraction (APE) is a fine-grained task of argument mining which aims to identify arguments offered by different participants in some discourse and detect interaction relationships between argume...
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Article
Open AccessA heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems
Modern recommendation systems integrate graph convolution neural networks (GCN) for enhancing embedding representation. Compared with widely deployed neural network-based models, the extra message propagation ...
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Article
An algorithm for abnormal behavior recognition based on sharing human target tracking features
Human behavior recognition is a hot research topic in the field of computer vision, and a complete behavior recognition usually includes human detection, human tracking and behavior recognition. At present, th...
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Article
WebLFR: An interactive light field renderer in web browsers
Traditional light field rendering techniques, relying on dense sampling data, can faithfully reproduce photo-realistic and view-dependent effects such as reflection and refraction. However, they consume substa...
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Article
Open AccessRII-GAN: Multi-scaled Aligning-Based Reversed Image Interaction Network for Text-to-Image Synthesis
The text-to-image (T2I) model based on a single-stage generative adversarial network (GAN) has significantly succeeded in recent years. However, the generation model based on GAN has two disadvantages: the gen...
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Article
Sparse and regression learning of large-scale fuzzy cognitive maps based on adaptive loss function
Fuzzy cognitive maps (FCMs) learning is a hot topic in recent years. However, as the number of concepts increases in FCMs, it is difficult to learn the sparse and robust FCMs from a small amount of data, espec...
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Article
6DFLRNet: 6D rotation representation for head pose estimation based on facial landmarks and regression
Head pose estimation methods can be generally classified into two categories: model-based and appearance-based methods. The model-based approach relies on facial landmarks for three-dimensional reconstruction,...
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Article
A hybrid memory architecture supporting fine-grained data migration
Hybrid memory systems composed of dynamic random access memory (DRAM) and Non-volatile memory (NVM) often exploit page migration technologies to fully take the advantages of different memory media. Most previo...
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Chapter and Conference Paper
Distributed Dynamic Process Monitoring Based on Maximum Correlation and Maximum Difference
In order to solve the problem of dynamic characteristics caused by the autocorrelation of different measurement variables and the cross-correlation of variables reflected at different sampling times in industr...
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Chapter and Conference Paper
Fake Comment Detection Based on Generative Adversarial Networks
Fake comments are a widespread problem in various online activities. This issue not only impacts the consumer experience and service quality but also makes it difficult to distinguish genuine information from ...
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Chapter and Conference Paper
Human Joint Localization Method for Virtual Reality Based on Multi-device Data Fusion
Virtual reality (VR) utilizes computer vision, artificial intelligence and other techniques to enable interaction between users and virtual environments. In order to solve the problems of human joint localizat...
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Chapter and Conference Paper
Accurate Assembly of Circular RNAs with TERRACE
Circular RNA (circRNA) is a class of RNA molecules that forms a closed loop with its 5’ and 3’ ends covalently bonded. CircRNAs were severely overlooked previously owing to the biases in the RNA-seq protocols ...
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Chapter and Conference Paper
IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain
General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and inability to provide medical a...
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Chapter and Conference Paper
Similarity-Based Prompt Construction for Large Language Model in Medical Tasks
Large Language Model (LLM) has sparked a new trend in Natural Language Processing (NLP), and an increasing number of researches have recognized the potential of using LLM to unify diverse NLP tasks into a text...
