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    Article

    LGAT: a light graph attention network focusing on message passing for semi-supervised node classification

    Deep learning has shown superior performance in various applications. The emergence of graph convolution neural networks (GCNs) enables deep learning to learn the latent representation from graph-structured da...

    Chengcheng Sun, Fanrong Meng, Chenhao Li, **aobin Rui, Zhixiao Wang in Computing (2024)

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    Article

    Attention-based graph neural networks: a survey

    Graph neural networks (GNNs) aim to learn well-trained representations in a lower-dimension space for downstream tasks while preserving the topological structures. In recent years, attention mechanism, which i...

    Chengcheng Sun, Chenhao Li, **ang Lin, Tianji Zheng in Artificial Intelligence Review (2023)

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    Chapter and Conference Paper

    Trigger-Assisted Ambidextrous Control Framework for Teleoperation of Two Legged Manipulators

    This paper presents a motion-capture based control framework for the purpose of effectively teleoperating two legged manipulators without significant delays caused by the switching of controllers. The control ...

    Christopher Peers, Joseph Humphreys, Yuhui Wan in Towards Autonomous Robotic Systems (2022)

  4. Chapter and Conference Paper

    Teleoperating a Legged Manipulator Through Whole-Body Control

    In this work, we present a highly functional teleoperation system, that integrates a full-body inertia-based motion capture suit and three intuitive teleoperation strategies with a Whole-Body Control (WBC) fra...

    Joseph Humphreys, Christopher Peers, Jun Li in Towards Autonomous Robotic Systems (2022)

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    Chapter and Conference Paper

    Application Analysis of Blockchain in the Field of Finance

    In response to the impact of technology, financial institutions quickly seized the opportunity. Following the wave, financial technology was born. This article starts from the background of financial technolog...

    Yangcheng Sun in Innovative Computing (2020)

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    Chapter and Conference Paper

    Self-Adaptive Frequency Scaling Architecture for Intrusion Detection System

    Recently, Intrusion Detection Systems (IDS) have been deployed in the Internet for information security. Nevertheless, with the growing of Internet traffic, IDS becomes increasingly complicated and consumes mu...

    Qiuwen Lu, Zhou Zhou, Hongzhou Sha, Qingyun Liu in Trustworthy Computing and Services (2015)

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    Chapter and Conference Paper

    An Agent Based Intelligent Meta Search Engine

    Addressing the problems that available search engines seldom consider the personalized needs of users with low precision rate and the discrete retrieval results, an Agent-based intelligent meta-search engine m...

    Qingshan Li, Yingcheng Sun in Web Information Systems and Mining (2012)