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Jing Wu - IEEE Xplore Author Profile
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Jing Wu

Publications
33
Citations
341
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (82)
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Jing Wu

Affiliation

School of Electronic Information
Wuhan University
Wuhan, China

Publication Topics

Biography

Jing Wu (Member, IEEE) received the B.Eng. degree in communication engineering and the Ph.D. degree in communication and information systems from Wuhan University, Wuhan, China, in 2002 and 2007, respectively.,She undertook her postdoctoral research work with LIMOS, Clermont-Ferrand, France, from 2004 to 2005. She is currently an Associate Professor with Wuhan University. Her research interests include wireless communication networks, network simulation, and intelligence data processing.(Based on document published on 25 July 2022).
Publications
33
Citations
341
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (82)
Author's Published Works

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Human-Aware Dynamic Hierarchical Network Control for Distributed Metaverse Services

Qimei Chen;Ruixue Li;Xiaoxia Xu;Jing Wu;Hao Jiang;Meikang Qiu

IEEE Journal on Selected Areas in Communications
Year: 2024 | Volume: 42, Issue: 3 | Journal Article |
Cited by: Papers (1)
Metaverse has emerged as a revolutionary technique for transforming the way people interact with digital content, which relies on a distributed computing and communication infrastructure, encompassing terminal users, edge servers, and cloud servers. However, the rapid evolution of the Metaverse presents challenges that surpass the capabilities of existing communication and network infrastructures,...Show More

Human-Aware Dynamic Hierarchical Network Control for Distributed Metaverse Services

Qimei Chen;Ruixue Li;Xiaoxia Xu;Jing Wu;Hao Jiang;Meikang Qiu

Year: 2024 | Volume: 42, Issue: 3 | Journal Article |

Accelerating Distributed Cloud Storage Systems with In-Network Computing

Wei Jiang;Hao Jiang;Jing Wu;Qimei Chen

IEEE Network
Year: 2023 | Volume: 37, Issue: 4 | Magazine Article |
Cited by: Papers (1)
A distributed cloud, connecting multiple smaller and geographically distributed data centers, can provide a significant alternative to the traditional model of massive and centralized data centers. Erasure coding is a key solution for improving the efficiency of storage resources in a distributed cloud. However, current end-side based erasure coding systems require significant computing resources ...Show More

Accelerating Distributed Cloud Storage Systems with In-Network Computing

Wei Jiang;Hao Jiang;Jing Wu;Qimei Chen

Year: 2023 | Volume: 37, Issue: 4 | Magazine Article |

Accelerating Network Coding with Programmable Switch ASICs

Wei Jiang;Hao Jiang;Jing Wu;Pengcheng Zhou

ICC 2023 - IEEE International Conference on Communications
Year: 2023 | Conference Paper |
Random Linear Network Coding holds great potential for enhancing the performance of mega-constellation networks. However, its implementation brings several challenges such as complexity in matrix operations, bandwidth limitations, and increased latency. Although some CPU- and GPU-based solutions have achieved sufficient coding throughput, the gateway stations of satellites require processing rates...Show More

Accelerating Network Coding with Programmable Switch ASICs

Wei Jiang;Hao Jiang;Jing Wu;Pengcheng Zhou

Year: 2023 | Conference Paper |

Probing-Based Topology Discovery in SDN-enabled Mega-Constellation Network

Wei Jiang;Tao Dong;Hao Jiang;Zhihui Liu;Jie Yin;Hao Li;Jing Wu;Qimei Chen

2023 International Conference on Ubiquitous Communication (Ucom)
Year: 2023 | Conference Paper |
To provide low-latency broadband Internet globally, SpaceX, Amazon, and other companies plan to launch thousands of satellites into low Earth orbit. The proposed constellations hold great promise, but they also present new networking challenges. It is crucial that mega-constellation networks discover their topology accurately and in a timely manner. Due to the mobility of LEO satellites, it is par...Show More

Probing-Based Topology Discovery in SDN-enabled Mega-Constellation Network

Wei Jiang;Tao Dong;Hao Jiang;Zhihui Liu;Jie Yin;Hao Li;Jing Wu;Qimei Chen

Year: 2023 | Conference Paper |

Multi-Task Hybrid Scheduling Scheme in FC-AE-1553 Multi-Level Switching Networks

Hao Li;Ningning Lu;Hao Wang;Lihua Wu;Jing Wu;Hao Jiang;Jianguo Zhou

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (3)
Given the increasing need of avionics communications and ship electromechanical communications for reliability and real-time transmission, current scheduling schemes waste bandwidth resources. They increase delay because of the low concurrency and the inefficiency of data transmissions in FC-AE-1553 multi-level switching networks. In this study, we first analyze the characteristics of different ta...Show More

Multi-Task Hybrid Scheduling Scheme in FC-AE-1553 Multi-Level Switching Networks

Hao Li;Ningning Lu;Hao Wang;Lihua Wu;Jing Wu;Hao Jiang;Jianguo Zhou

Year: 2023 | Volume: 11 | Journal Article |

Semi-Asynchronous Hierarchical Federated Learning Over Mobile Edge Networks

Qimei Chen;Zehua You;Jing Wu;Yunpeng Liu;Hao Jiang

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (5)
Mobile edge network has been recognized as a promising technology for future wireless communications. However, mobile edge networks usually gathering large amounts of data, which makes it difficult to explore data science efficiently. Currently, federated learning has been proposed as an appealing approach to allow users to cooperatively reap the benefits from trained participants. In this paper, ...Show More

Semi-Asynchronous Hierarchical Federated Learning Over Mobile Edge Networks

Qimei Chen;Zehua You;Jing Wu;Yunpeng Liu;Hao Jiang

Year: 2023 | Volume: 11 | Journal Article |

Coexistence of URLLC and eMBB Services in MIMO-NOMA Systems

Qimei Chen;Jing Wu;Jiajia Wang;Hao Jiang

IEEE Transactions on Vehicular Technology
Year: 2023 | Volume: 72, Issue: 1 | Journal Article |
Cited by: Papers (18)
Enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) are two major expected services in the fifth-generation mobile communication systems (5G). Specifically, eMBB applications support extremely high data rate communications, while URLLC services aim to provide stringent latency with high reliability communications. Due to their differentiated quality-of-servic...Show More

Coexistence of URLLC and eMBB Services in MIMO-NOMA Systems

Qimei Chen;Jing Wu;Jiajia Wang;Hao Jiang

Year: 2023 | Volume: 72, Issue: 1 | Journal Article |

Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things

Jing Wu;Pan Zhou;Qimei Chen;Zichuan Xu;Xiaofeng Ding;Hao Jiang

IEEE Internet of Things Journal
Year: 2023 | Volume: 10, Issue: 8 | Journal Article |
Cited by: Papers (8)
With the rapid growth of Internet of Things (IoT), smart home develops rapidly in these years, which could assist people who need family medical support. It could integrate healthcare with ambient assisted living (AAL) technologies and provide activities of daily life (ADLs) to the people who need care. This article proposes a smart home and cross-cloud-and-edge computing-based nursing system (NS)...Show More

Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things

Jing Wu;Pan Zhou;Qimei Chen;Zichuan Xu;Xiaofeng Ding;Hao Jiang

Year: 2023 | Volume: 10, Issue: 8 | Journal Article |

Blockchain-Governed Federated Transfer Learning for Secure Internet of Drones Networks

Hai Wang;Hao Jiang;Jing Wu;Pan Zhou;Huawei Huang

IEEE Internet of Things Magazine
Year: 2022 | Volume: 5, Issue: 3 | Magazine Article |
Internet of Drones (IoD) is a critical paradigm of future networks used for complex cooperative tasks. Due to its heterogeneity, high mobility, and exposed connectivity, it inevitably suffers from the crucial security threats of nodes failure, malicious tampering, and anonymous attacks. Specifically, federated transfer learning (FTL) and blockchain are seen as promising technologies for network se...Show More

Blockchain-Governed Federated Transfer Learning for Secure Internet of Drones Networks

Hai Wang;Hao Jiang;Jing Wu;Pan Zhou;Huawei Huang

Year: 2022 | Volume: 5, Issue: 3 | Magazine Article |

Resource Provisioning for Mitigating Edge DDoS Attacks in MEC-Enabled SDVN

Yuchuan Deng;Hao Jiang;Peijing Cai;Tong Wu;Pan Zhou;Beibei Li;Hao Lu;Jing Wu;Xin Chen;Kehao Wang

IEEE Internet of Things Journal
Year: 2022 | Volume: 9, Issue: 23 | Journal Article |
Cited by: Papers (17)
Vehicular ad hoc network (VANET) has become an accessible technology for improving road safety and driving experience, the problems of heterogeneity and lack of resources it faces have also attracted widespread attention. With the development of software-defined networking (SDN) and multiaccess edge computing (MEC), a variety of resource allocation strategies in MEC-enabled software-defined networ...Show More

Resource Provisioning for Mitigating Edge DDoS Attacks in MEC-Enabled SDVN

Yuchuan Deng;Hao Jiang;Peijing Cai;Tong Wu;Pan Zhou;Beibei Li;Hao Lu;Jing Wu;Xin Chen;Kehao Wang

Year: 2022 | Volume: 9, Issue: 23 | Journal Article |

Dynamic User Association in Scalable Ultra-Dense LEO Satellite Networks

Hao Jiang;Hai Wang;Yulin Hu;Jing Wu

IEEE Transactions on Vehicular Technology
Year: 2022 | Volume: 71, Issue: 8 | Journal Article |
Cited by: Papers (12)
Ultra-dense low earth orbit (LEO) satellite networks (LEO-UDSNs) are becoming a foundational component of future 5G and beyond. LEO-UDSNs bring unprecedented high-speed mobility, broadband capacity, and ultra-density qualities, introducing a significant challenge to traditional user association (UA) methods. In this article, we first discuss the difficulties in sequential UA optimization for scala...Show More

Dynamic User Association in Scalable Ultra-Dense LEO Satellite Networks

Hao Jiang;Hai Wang;Yulin Hu;Jing Wu

Year: 2022 | Volume: 71, Issue: 8 | Journal Article |

Detecting and Mitigating DDoS Attacks in SDN Using Spatial-Temporal Graph Convolutional Network

Yongyi Cao;Hao Jiang;Yuchuan Deng;Jing Wu;Pan Zhou;Wei Luo

IEEE Transactions on Dependable and Secure Computing
Year: 2022 | Volume: 19, Issue: 6 | Journal Article |
Cited by: Papers (38)
With the development of data plane programmable Software-Defined Networking (SDN), Distributed Denial of Service (DDoS) attacks on the data plane increasingly become fatal. Currently, traditional attack detection methods are mainly used to detect whether a DDoS attack occurs and it is difficult to find the path that the attack flow traverses the network, which makes it difficult to accurately miti...Show More

Detecting and Mitigating DDoS Attacks in SDN Using Spatial-Temporal Graph Convolutional Network

Yongyi Cao;Hao Jiang;Yuchuan Deng;Jing Wu;Pan Zhou;Wei Luo

Year: 2022 | Volume: 19, Issue: 6 | Journal Article |

Joint User Association and Resource Allocation for MmWave and THz Coexistence Networks

Weiran Wang;Jing Wu;Ning Li;Ruiliang Song

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
With the development of information technology and the continuous increase of user demand, how to cope with the limitation of spectrum resources becomes a tough problem. Meanwhile, terahertz communication technology has become a key candidate technology to solve the above challenges. Taking advantage of the small propagation range and high bandwidth of terahertz, the coexistence network of millime...Show More

Joint User Association and Resource Allocation for MmWave and THz Coexistence Networks

Weiran Wang;Jing Wu;Ning Li;Ruiliang Song

Year: 2021 | Conference Paper |

Blind Zone Performance Enhancement with THz Communication

Ruixue Li;Jing Wu;Ning Li;Ruiliang Song

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Year: 2021 | Conference Paper |
Blind zone is a long standing issue in microwave networks. THz communication is regarded as a promising technology in 6G era to cope with these problems due to its wide bandwidth and short transmission distances. However, THz band causes great loss of non-line-of-sight path due to its molecular absorption properties and the communication distance is limited. In order to reduce the communication bl...Show More

Blind Zone Performance Enhancement with THz Communication

Ruixue Li;Jing Wu;Ning Li;Ruiliang Song

Year: 2021 | Conference Paper |

Satellite Network Traffic Scheduling Algorithm Based on Multi-Agent Reinforcement Learning

Tingting Zhang;Mingqi Zhang;Lintao Yang;Tao Dong;Jie Yin;Zhihui Liu;Jing Wu;Hao Jiang

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Traditional network traffic scheduling algorithms are difficult to accurately analyze and model. In the face of satellite networks with complex network structures, diverse transmission resources, and high dynamics, routing strategies lack flexibility. In order to reduce the possibility of network congestion in the multi-layer satellite network, a satellite network traffic scheduling algorithm base...Show More

Satellite Network Traffic Scheduling Algorithm Based on Multi-Agent Reinforcement Learning

Tingting Zhang;Mingqi Zhang;Lintao Yang;Tao Dong;Jie Yin;Zhihui Liu;Jing Wu;Hao Jiang

Year: 2021 | Conference Paper |

Network Protocol Reverse Parsing Based on Bit Stream

Yang Li;Liyun Bai;Mingqi Zhang;Siyuan Wang;Jing Wu;Hao Jiang

2021 8th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2021 7th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)
Year: 2021 | Conference Paper |
The network security problem brought by the cloud computing has become an important issue to be dealt with in information construction. Since anomaly detection and attack detection in cloud environment need to find the vulnerability through the reverse analysis of data flow, it is of great significance to carry out the reverse analysis of unknown network protocol in the security application of clo...Show More

Network Protocol Reverse Parsing Based on Bit Stream

Yang Li;Liyun Bai;Mingqi Zhang;Siyuan Wang;Jing Wu;Hao Jiang

Year: 2021 | Conference Paper |

Handoff of Satellite Network for High-Speed Mobile Terminals Based on Edge Computing

Pengcheng Zhou;Yun Liu;Lei Guo;Ningning Lu;Jing Wu;Hao Jiang

2021 8th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2021 7th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
The Satellite-Terrestrial Integrated Network (STIN) is a new network structure that can adapt to various services. In this kind of network, the low orbit satellites could bring more comprehensive services to fast mobile terminals, and the services needed by fast mobile terminals often switch between multiple satellites. Hence, the service handoff problem of low orbit satellites has become a key po...Show More

Handoff of Satellite Network for High-Speed Mobile Terminals Based on Edge Computing

Pengcheng Zhou;Yun Liu;Lei Guo;Ningning Lu;Jing Wu;Hao Jiang

Year: 2021 | Conference Paper |

Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach

Jing Wu;Juzhen Wang;Qimei Chen;Zenghui Yuan;Pan Zhou;Xiumin Wang;Cai Fu

IEEE Transactions on Network Science and Engineering
Year: 2021 | Volume: 8, Issue: 2 | Journal Article |
Cited by: Papers (34)
The rapid development of internet of vehicles (IoV) has recently led to the emergence of diverse intelligent vehicular applications such as automatic driving, auto navigation, and advanced driver assistance, etc. However, the current vehicular communication framework, such as vehicle-to-vehicle (V2V), vehicle-to-cloud (V2C), and vehicle-to-roadside infrastructure (V2I), still remain challenging in...Show More

Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach

Jing Wu;Juzhen Wang;Qimei Chen;Zenghui Yuan;Pan Zhou;Xiumin Wang;Cai Fu

Year: 2021 | Volume: 8, Issue: 2 | Journal Article |

AI and Machine Learning for Industrial Security With Level Discovery Method

Hao Jiang;He Nai;Jing Wu;Meikang Qiu

IEEE Internet of Things Journal
Year: 2021 | Volume: 8, Issue: 8 | Journal Article |
Cited by: Papers (1)
Protecting enterprise information security is a main task of Internet of Things system. The interaction between employees in same enterprise is based on level structures. So it is important to discover levels of employees for urban developers to protect enterprise information security. In this article, we propose a level discovery method for employees (LDME) from the records of employees using mob...Show More

AI and Machine Learning for Industrial Security With Level Discovery Method

Hao Jiang;He Nai;Jing Wu;Meikang Qiu

Year: 2021 | Volume: 8, Issue: 8 | Journal Article |

Controller Cluster Optimization and Simulation of Satellite Network in Naval Battle Circumstance

Wei Luo;Xiaopeng Wang;Min Wang;Hao Tao;Jing Wu

2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications( AEECA)
Year: 2020 | Conference Paper |
In the naval battle circumstance, the satellite network consists of multi-controllers to form a cluster architecture. Frequent switching of the satellite network topology for ensuring consistency between the controller clusters gives rise to the excessive overhead of communication. To reduce the overhead, a new sparse method, SNS-TS (Sparse Network Snapshots based on Top-down and Sum-graphs), is p...Show More

Controller Cluster Optimization and Simulation of Satellite Network in Naval Battle Circumstance

Wei Luo;Xiaopeng Wang;Min Wang;Hao Tao;Jing Wu

Year: 2020 | Conference Paper |

A New Framework for DDoS Attack Detection and Defense in SDN Environment

Liang Tan;Yue Pan;Jing Wu;Jianguo Zhou;Hao Jiang;Yuchuan Deng

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (110)
While software defined network (SDN) brings more innovation to the development of future networks, it also faces a more severe threat from DDoS attacks. In order to deal with the single point of failure on SDN controller caused by DDoS attacks, we propose a framework for detection and defense of DDoS attacks in the SDN environment. Firstly, we deploy a trigger mechanism of DDoS attack detection on...Show More

A New Framework for DDoS Attack Detection and Defense in SDN Environment

Liang Tan;Yue Pan;Jing Wu;Jianguo Zhou;Hao Jiang;Yuchuan Deng

Year: 2020 | Volume: 8 | Journal Article |

Expectile Regression on Distributed Large-Scale Data

Aijun Hu;Chujin Li;Jing Wu

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (1)
Large-scale data presents great challenges to data analysis due to the limited computer storage capacity and the heterogeneous data structure. In this article, we propose a distributed expectile regression model to resolve the challenges of large-scale data by designing a surrogate loss function and using the Iterative Local Alternating Direction Method of the Multipliers (IL-ADMM) algorithm, whic...Show More

Expectile Regression on Distributed Large-Scale Data

Aijun Hu;Chujin Li;Jing Wu

Year: 2020 | Volume: 8 | Journal Article |

SDN-based Stateful Firewall for Cloud

Jian Li;Hao Jiang;Wei Jiang;Jing Wu;Wen Du

2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
The firewall service (FWaaS) is one of the key components of the cloud computing environment, it requires the ability to automatically open and flexibly adjust as needed. Current firewalls in the cloud are mainly based on static security rule configuration or simple rule matching, which makes them inflexible and cannot guarantee network security. In this paper, we propose a stateful firewall based...Show More

SDN-based Stateful Firewall for Cloud

Jian Li;Hao Jiang;Wei Jiang;Jing Wu;Wen Du

Year: 2020 | Conference Paper |

Handoff Mechanism Considering Growth Benefit for LEO Satellite and Terrestrial Hybrid Network

Zhaojun Wang;Jiaxin Huang;Sisi Gong;Jing Wu;Hao Jiang

2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Within the 5G framework, the hybrid of satellite system and terrestrial system is promoted, forming a new hybrid network architecture. Handoff of heterogeneous network is becoming more important as a key to achieve the interconnection of satellite and terrestrial network and support the seamless handoff of different access modes. This paper summarizes the development prospects of satellite - terre...Show More

Handoff Mechanism Considering Growth Benefit for LEO Satellite and Terrestrial Hybrid Network

Zhaojun Wang;Jiaxin Huang;Sisi Gong;Jing Wu;Hao Jiang

Year: 2019 | Conference Paper |

Data-Driven Uncertain Modeling and Optimization Approach for Heterogeneous Network Systems

Hai Wang;Hao Jiang;Jing Wu

2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)
Year: 2019 | Conference Paper |
In the age of IoT, the heterogeneous network fusion becomes a tremendous issue, a dilemma in heterogeneous network is how to integrate the resource and allocate the multifarious services which is remarkable but seriously difficult to system-level model and quantify. Aiming at the representation of uncertainly systems design element distribution, combined with modeling and optimization, here we pro...Show More

Data-Driven Uncertain Modeling and Optimization Approach for Heterogeneous Network Systems

Hai Wang;Hao Jiang;Jing Wu

Year: 2019 | Conference Paper |

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