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    Chapter and Conference Paper

    Are Graph Neural Network Explainers Robust to Graph Noises?

    With the rapid deployment of graph neural networks (GNNs) based techniques in a wide range of applications such as link prediction, community detection, and node classification, the explainability of GNNs beco...

    Yiqiao Li, Sunny Verma, Shuiqiao Yang in AI 2022: Advances in Artificial Intelligen… (2022)

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    Chapter and Conference Paper

    Does a Compromise on Fairness Exist in Using AI Models?

    Artificial Intelligence (AI) has been increasingly used to assist decision making in different domains. Multiple parties are usually affected by decisions in decision making, e.g. decision-maker and people aff...

    Jianlong Zhou, Zhidong Li, Chun **ao in AI 2022: Advances in Artificial Intelligen… (2022)

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    Chapter and Conference Paper

    A Hip Active Lower Limb Support Exoskeleton for Load Bearing Sit-To-Stand Transfer

    Sit-to-stand (STS) transfer is a basic and important motion function in daily living. Most currently-existing studies focus on movement assistance for patients who lost mobility or have impaired their muscle s...

    **long Zhou, Qiuyan Zeng, Biwei Tang, **g Luo in Intelligent Robotics and Applications (2022)

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    Chapter and Conference Paper

    A Complex Attacks Recognition Method in Wireless Intrusion Detection System

    During recent years, the challenge faced by wireless network security is getting severe with the rapid development of internet. However, due to the defects of wireless communication protocol and difference amo...

    Guanlin Chen, Ying Wu, Kunlong Zhou, Yong Zhang in Green, Pervasive, and Cloud Computing (2019)

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    Chapter and Conference Paper

    An Effective Feature Selection Method for Text Categorization

    Feature selection is an efficient strategy to reduce the dimensionality of data and removing the noise in text categorization. However, most feature selection methods aim to remove non-informative features bas...

    **peng Qiu, **long Zhou, Xuan**g Huang in Advances in Knowledge Discovery and Data Mining (2011)