Yuehui Wang - IEEE Xplore Author Profile

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Author details

Yuehui Wang

Publications

3

Citations

3

Publications by Year

20212022

Co-Authors:

Liyan CaiSibo HuangQing WangDongyu Zhang

Yuehui Wang

Affiliation

Sun Yat-Sen University

Publication Topics

Fréchet Inception Distance,
Generative Adversarial Networks,
Image Generation,
Latent Code,
Latent Space,
2D Images,
2D Information,
3D Information,
Average Power Spectrum,
Base Classes,
Cause Of This Discrepancy,
Checkers

Biography

Yuehui Wang (Graduate Student Member, IEEE) received the B.E. degree from the School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China, in 2019, where he is currently pursuing the postgraduate degree with the Human Cyber Physical Intelligence Integration Laboratory. His research interests include generative model, computer vision, and few shot learning.(Based on document published on 28 July 2021).

Publications

3

Citations

3

Publications by Year

20212022

Co-Authors:

Liyan Cai
Sibo Huang
Qing Wang
Dongyu Zhang

Author's Published Works

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Showing 1-5 of 5 results

Conferences (5)

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Jovita Mateus(4)
Guy-Alain Lusilao Zodi(3)
Antoine Bagula(2)
G.-A. Lusilao Zodi(1)
Martin Ujakpa(1)
Computer Science Department, NUST, Windhoek, Namibia(3)
Computer Science Department, UWC, Cape Town, South Africa(2)
Namibia University of Science and Technology, 13 Jackson Kaujeua Street, Windhoek, Namibia(1)
Ghana Communication Technology University, Nsawam Rd, Accra, Ghana(1)
National Mobile Communications Research Laboratory, Southeast University, Nanjing, China(1)
2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)(2)
2017 Global Wireless Summit (GWS)(1)
2022 IST-Africa Conference (IST-Africa)(1)
2024 International Conference on Computing, Networking and Communications (ICNC)(1)
IEEE(5)
Windhoek, Namibia(2)
Big Island, HI, USA(1)
Cape Town, South Africa(1)
Ireland(1)
Control Plane(3)
Deep Learning(2)
Deep Neural Network(2)
Distributed Denial Of Service(2)
Intrusion Detection System(2)

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Federated Learning-Based Solution for DDoS Detection in SDN

Jovita Mateus;Guy-Alain Lusilao Zodi;Antoine Bagula

2024 International Conference on Computing, Networking and Communications (ICNC)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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One major threat to Software Defined Network (SDN) environments and other computing systems is Distributed Denial of Service (DDoS) attacks. For the longest time, conventional Machine Learning (ML) techniques have been used for DDoS detection, but they have limitations because of their centralised training requirements, which can lead to excessive bandwidth utilization, increased latency, and serv...Show More

Federated Learning-Based Solution for DDoS Detection in SDN

Jovita Mateus;Guy-Alain Lusilao Zodi;Antoine Bagula

2024 International Conference on Computing, Networking and Communications (ICNC)

Year: 2024 | Conference Paper |

Design of a NFV Traffic Engineering Middlebox for Efficient Link Failure Detection and Recovery in SDN Core Networks

Helena Hainana;Guy-Alain Lusilao Zodi;Jovita Mateus

2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Year: 2023 | Conference Paper |

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Due to the increasing demand for critical services and industrial applications, Software Defined Networking (SDN) has become the most ideal and efficient solution for core networks. This is due to the central intelligence, programmability and simplified network management offered by SDN. However, the unpredictable nature of network environments in terms of node or link failures, makes core network...Show More

Design of a NFV Traffic Engineering Middlebox for Efficient Link Failure Detection and Recovery in SDN Core Networks

Helena Hainana;Guy-Alain Lusilao Zodi;Jovita Mateus

2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Year: 2023 | Conference Paper |

Building DDoS Resilient SDNs Using Hybridised Deep Learning Methods

Jovita Mateus;Guy-Alain Lusilao Zodi;Antoine Bagula;Mbale Landry

2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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The explosion in the number of IP-based systems and IoT devices has created significant security and traffic engineering challenges on the Internet. The current Internet architecture is not optimised to handle the unprecedented amounts of traffic generated by these huge amount of interconnected devices as it was designed based on a simple model using an intelligent edge and a dumb core, providing ...Show More

Building DDoS Resilient SDNs Using Hybridised Deep Learning Methods

Jovita Mateus;Guy-Alain Lusilao Zodi;Antoine Bagula;Mbale Landry

2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Year: 2023 | Conference Paper |

Gamifying Learning in High Schools: Perceptions of Students in Selected African Countries

Jude Osakwe;Gloria Iyawa;Martin Ujakpa;Jovita Mateus

2022 IST-Africa Conference (IST-Africa)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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The aim of this paper was to present the findings from an empirically grounded investigation into the perception of Students on gamifying learning in high schools within African countries, informing the current literature on gamification in learning within African contexts and providing a new approach on how gamification can be incorporated into learning within African countries namely Namibia, Ni...Show More

Gamifying Learning in High Schools: Perceptions of Students in Selected African Countries

Jude Osakwe;Gloria Iyawa;Martin Ujakpa;Jovita Mateus

2022 IST-Africa Conference (IST-Africa)

Year: 2022 | Conference Paper |

A wireless sensor network for rainfall monitoring, using cellular network: A case for namibia

E. M. Mangundu;J. N. Mateus;G.-A. Lusilao Zodi;J. Johson

2017 Global Wireless Summit (GWS)

Year: 2017 | Conference Paper |

Cited by: Papers (7)

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Environmental monitoring provides data for expert managers to predict and understand nature of change. Environmental issues are also an important part of people's quality of life and the advance of civilization. Traditional methods of monitoring some environmental parameters such as physically collecting rainfall data from stations can be burdensome and inhibiting the monitoring required for caref...Show More

A wireless sensor network for rainfall monitoring, using cellular network: A case for namibia

E. M. Mangundu;J. N. Mateus;G.-A. Lusilao Zodi;J. Johson

2017 Global Wireless Summit (GWS)

Year: 2017 | Conference Paper |

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