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Chao Wang - IEEE Xplore Author Profile

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Author details

Chao Wang

Publications

21

Citations

557

Publications by Year

20202024

Co-Authors:

Jianping AnGagangeet Singh AujlaRanbir Singh BatthAbderrahim BenslimaneXinying Chen

Show All Co-Authors (48)

Chao Wang

Affiliation

School of Information and Communication Engineering

Dalian University of Technology

Dalian, China

Publication Topics

Unmanned Aerial Vehicles,
Bandwidth Resources,
Network Resources,
Deep Reinforcement Learning,
Additive Noise,
Convolutional Neural Network,
Covert Communication,
Optimization Problem,
Path Loss Exponent,
Physical Nodes,
Policy Network,
Rayleigh Fading

Biography

Chao Wang received the B.S. and M.S. degrees in mechanical design and theory from the Hefei University of Technology, Hefei, China, in 1999 and 2002, respectively, and the Ph.D. degree in computer application technology from Xidian University, Xi’an, China, in 2006.,He is currently an Associate Professor with Xidian University. His research interests include SNS and information security.(Based on document published on 3 September 2021).

Publications

21

Citations

557

Publications by Year

20202024

Co-Authors:

Jianping An
Gagangeet Singh Aujla
Ranbir Singh Batth
Abderrahim Benslimane
Xinying Chen

Show All Co-Authors (48)

Author's Published Works

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Showing 1-21 of 21 results

Journals (15)

Conferences (3)

Magazines (3)

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Chao Wang(21)
Peiying Zhang(10)
Chunxiao Jiang(6)
Nan Zhao(4)
Neeraj Kumar(4)
College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China(8)
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China(4)
China University of Petroleum (East China), China(3)
College of Computer Science and Technology, China University of Petroleum, Qingdao, China(3)
School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India(3)
IEEE Internet of Things Journal(3)
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)(2)
IEEE Transactions on Communications(2)
IEEE Transactions on Industrial Informatics(2)
2020 IEEE Computing, Communications and IoT Applications (ComComAp)(1)
IEEE(21)
Media(2)
Nanjing, China(2)
Beijing, China(1)
Network Resources(9)
Unmanned Aerial Vehicles(9)
Bandwidth Resources(8)
Deep Reinforcement Learning(8)
Deep Learning(6)

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Covert Communications via Two-Way IRS With Noise Power Uncertainty

Chao Wang;Zehui Xiong;Meng Zheng;Nan Zhao;Dusit Niyato

IEEE Transactions on Communications

Year: 2024 | Volume: 72, Issue: 8 | Journal Article |

Cited by: Papers (2)

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Due to the open accessibility of wireless networks with severe privacy risks, covert communication has gained increasing attention, where the effective range is limited by the low transmit power. Fortunately, employing intelligent reflecting surface (IRS) as a relay has become an appealing solution to extend the range of covert communication. To this end, we investigate the covert communication in...Show More

Covert Communications via Two-Way IRS With Noise Power Uncertainty

Chao Wang;Zehui Xiong;Meng Zheng;Nan Zhao;Dusit Niyato

IEEE Transactions on Communications

Year: 2024 | Volume: 72, Issue: 8 | Journal Article |

Multidimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity

Mingwen Shao;Jiandong Kuang;Chao Wang;Wangmeng Zuo;Guoyin Wang

IEEE Transactions on Fuzzy Systems

Year: 2024 | Volume: 32, Issue: 9 | Journal Article |

Cited by: Papers (1)

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Dynamic pruning is an effective model compression method to reduce the computational cost of networks. However, existing dynamic pruning methods are limited to pruning along a single dimension (channel, spatial, or depth), which cannot maximally excavate the redundancy of the network. Meanwhile, most of the current state-of-the-arts usually implement dynamic pruning via masked-out partial channels...Show More

Multidimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity

Mingwen Shao;Jiandong Kuang;Chao Wang;Wangmeng Zuo;Guoyin Wang

IEEE Transactions on Fuzzy Systems

Year: 2024 | Volume: 32, Issue: 9 | Journal Article |

UAV-Enabled Robust Covert Communication Against Active Wardens

Fangtao Yang;Chao Wang;Jun Xiong;Na Deng;Nan Zhao;Yonghui Li

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 6 | Journal Article |

Cited by: Papers (1)

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This correspondence investigates the robust unmanned aerial vehicle (UAV) enabled covert communication system with active ground wardens of collusive detection and location uncertainty. The three-dimensional (3D) trajectory and transmit power of UAV are jointly optimized to maximize the average covert transmission rate subject to the worst-case covertness constraint. The problem is intractable due...Show More

UAV-Enabled Robust Covert Communication Against Active Wardens

Fangtao Yang;Chao Wang;Jun Xiong;Na Deng;Nan Zhao;Yonghui Li

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 6 | Journal Article |

Blockchain-Aided Network Resource Orchestration in Intelligent Internet of Things

Chao Wang;Chunxiao Jiang;Jingjing Wang;Shigen Shen;Song Guo;Peiying Zhang

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 7 | Journal Article |

Cited by: Papers (29)

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The proliferation of users and data traffic poses substantial pressure on resource management in the Internet of Things (IoT). In addition to beneficially allocating scarce network resources, it also needs to meet differentiated users’ Quality-of-Service (QoS) requirements, such as low delay, high security, etc. The distributed management architecture of blockchain and its inherent security featur...Show More

Blockchain-Aided Network Resource Orchestration in Intelligent Internet of Things

Chao Wang;Chunxiao Jiang;Jingjing Wang;Shigen Shen;Song Guo;Peiying Zhang

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 7 | Journal Article |

Covert Communication Assisted by UAV-IRS

Chao Wang;Xinying Chen;Jianping An;Zehui Xiong;Chengwen Xing;Nan Zhao;Dusit Niyato

IEEE Transactions on Communications

Year: 2023 | Volume: 71, Issue: 1 | Journal Article |

Cited by: Papers (86)

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With the benefits of unmanned aerial vehicle (UAV) and intelligent reflecting surface (IRS), they can be combined to further enhance the communication performance. However, the high-quality air-ground channel is more vulnerable to the adversarial eavesdropping. Therefore, in this paper, we propose a covert communication scheme assisted by the UAV-IRS to maximize the covert transmission rate. Speci...Show More

Covert Communication Assisted by UAV-IRS

Chao Wang;Xinying Chen;Jianping An;Zehui Xiong;Chengwen Xing;Nan Zhao;Dusit Niyato

IEEE Transactions on Communications

Year: 2023 | Volume: 71, Issue: 1 | Journal Article |

Multi-Dimensional Resource Optimal Allocation Scheme for Tiansuan Constellation

Chao Wang;Qing Li;Qibo Sun;Shangguang Wang

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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With the advent of the 6G era, the construction of space networks is gradually entering a peak period. Tiansuan constellation came into being in this context, which aims to provide an open research platform for researchers. Tiansuan constellation can be used as the coverage supplement of terrestrial networks and the traffic supplement in hotspot areas, providing flexible, efficient, and seamless c...Show More

Multi-Dimensional Resource Optimal Allocation Scheme for Tiansuan Constellation

Chao Wang;Qing Li;Qibo Sun;Shangguang Wang

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2022 | Conference Paper |

IRS-Assisted UAV Covert Communication via Location and Power Optimization

Chao Wang;Xinying Chen;Jianping An;Zehui Xiong;Chengwen Xing;Nan Zhao;Dusit Niyato

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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In this paper, we propose a covert communication scheme assisted by UAV-IRS to maximize the covert transmission rate. The ground transmitter, Alice, secretly delivers the private message to a legitimate receiver, Bob, via the UAV-IRS, wishing that the transmission will not be noticed by the warden, Willie. Willie is adversarial to Alice and the UAV-IRS, which makes his accurate location difficult ...Show More

IRS-Assisted UAV Covert Communication via Location and Power Optimization

Chao Wang;Xinying Chen;Jianping An;Zehui Xiong;Chengwen Xing;Nan Zhao;Dusit Niyato

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2022 | Conference Paper |

Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images

Mingwen Shao;Chao Wang;Wangmeng Zuo;Deyu Meng

IEEE Transactions on Geoscience and Remote Sensing

Year: 2022 | Volume: 60 | Journal Article |

Cited by: Papers (8)

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Missing data reconstruction is a classical, yet challenging problem in remote sensing (RS) image processing due to the complex atmospheric environment and variability of satellite sensors. Most of the contemporary reconstruction methods either handle only one specific task or require supplementary data, while the single input for multitask reconstruction has not been explored yet. In this article,...Show More

Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images

Mingwen Shao;Chao Wang;Wangmeng Zuo;Deyu Meng

IEEE Transactions on Geoscience and Remote Sensing

Year: 2022 | Volume: 60 | Journal Article |

Dual-Pyramidal Image Inpainting With Dynamic Normalization

Chao Wang;Mingwen Shao;Deyu Meng;Wangmeng Zuo

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2022 | Volume: 32, Issue: 9 | Journal Article |

Cited by: Papers (16)

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Deep autoencoder-based approaches have achieved significant improvements on restoring damaged images, yet they still suffer from artifacts due to the inadequate representation and inaccurate regularization of existing features. In this paper, we propose a dual-pyramidal inpainting framework called DPNet to address these two limitations, which seamlessly integrates sufficient feature learning and d...Show More

Dual-Pyramidal Image Inpainting With Dynamic Normalization

Chao Wang;Mingwen Shao;Deyu Meng;Wangmeng Zuo

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2022 | Volume: 32, Issue: 9 | Journal Article |

Incorporating Distributed DRL Into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network

Chao Wang;Lei Liu;Chunxiao Jiang;Shangguang Wang;Peiying Zhang;Shigen Shen

IEEE Journal of Selected Topics in Signal Processing

Year: 2022 | Volume: 16, Issue: 3 | Journal Article |

Cited by: Papers (34)

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Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The effective management of SAGIN resources is a prerequisite for high-reliability communication. However, the storage capacity of space-air network segment is extremely limited. The air servers also do not have sufficient storage resources to centrally accommodate the information uploaded by each edge server. So t...Show More

Incorporating Distributed DRL Into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network

Chao Wang;Lei Liu;Chunxiao Jiang;Shangguang Wang;Peiying Zhang;Shigen Shen

IEEE Journal of Selected Topics in Signal Processing

Year: 2022 | Volume: 16, Issue: 3 | Journal Article |

Optimizing Task Location Privacy in Mobile Crowdsensing Systems

Xuewen Dong;Wen Zhang;Yushu Zhang;Zhichao You;Sheng Gao;Yulong Shen;Chao Wang

IEEE Transactions on Industrial Informatics

Year: 2022 | Volume: 18, Issue: 4 | Journal Article |

Cited by: Papers (20)

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The location information for tasks may expose sensitive information, which impedes the practical use of mobile crowdsensing in the industrial Internet. In this article, to our knowledge, we are the first to discuss the privacy protection of task locations and propose a codebook-based task allocation mechanism to protect it. Considering the cost of system utility caused by privacy protection techno...Show More

Optimizing Task Location Privacy in Mobile Crowdsensing Systems

Xuewen Dong;Wen Zhang;Yushu Zhang;Zhichao You;Sheng Gao;Yulong Shen;Chao Wang

IEEE Transactions on Industrial Informatics

Year: 2022 | Volume: 18, Issue: 4 | Journal Article |

Space-Air-Ground Integrated Multi-Domain Network Resource Orchestration Based on Virtual Network Architecture: A DRL Method

Peiying Zhang;Chao Wang;Neeraj Kumar;Lei Liu

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 3 | Journal Article |

Cited by: Papers (64)

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Traditional ground wireless communication networks cannot provide high-quality services for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due to deployment, coverage and capacity issues. The space-air-ground integrated network (SAGIN) has become a research focus in the industry. Compared with traditional wireless communication networks, SAGIN is more fl...Show More

Space-Air-Ground Integrated Multi-Domain Network Resource Orchestration Based on Virtual Network Architecture: A DRL Method

Peiying Zhang;Chao Wang;Neeraj Kumar;Lei Liu

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 3 | Journal Article |

Dynamic Virtual Network Embedding Algorithm Based on Graph Convolution Neural Network and Reinforcement Learning

Peiying Zhang;Chao Wang;Neeraj Kumar;Weishan Zhang;Lei Liu

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 12 | Journal Article |

Cited by: Papers (48)

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Network virtualization (NV) is a technology with broad application prospects. Virtual network embedding (VNE) is the core orientation of VN, which aims to provide more flexible underlying physical resource allocation for user function requests. The classical VNE problem is usually solved by the heuristic method, but this method often limits the flexibility of the algorithm and ignores the time lim...Show More

Dynamic Virtual Network Embedding Algorithm Based on Graph Convolution Neural Network and Reinforcement Learning

Peiying Zhang;Chao Wang;Neeraj Kumar;Weishan Zhang;Lei Liu

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 12 | Journal Article |

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

Peiying Zhang;Chao Wang;Chunxiao Jiang;Neeraj Kumar;Qinghua Lu

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 22 | Journal Article |

Cited by: Papers (28)

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The development of intelligent cyber–physical systems (ICPSs) in the virtual network environment is facing severe challenges. On the one hand, the Internet of Things (IoT) based on ICPSs construction needs a large amount of reasonable network resources support. On the other hand, ICPSs are facing severe network security problems. The integration of ICPSs and network virtualization (NV) can provide...Show More

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

Peiying Zhang;Chao Wang;Chunxiao Jiang;Neeraj Kumar;Qinghua Lu

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 22 | Journal Article |

Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images

Mingwen Shao;Chao Wang;Tianjun Wu;Deyu Meng;Jiancheng Luo

IEEE Geoscience and Remote Sensing Letters

Year: 2022 | Volume: 19 | Journal Article |

Cited by: Papers (15)

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Missing data reconstruction is a classical yet challenging problem in remote sensing images. Most current methods based on traditional convolutional neural network require supplementary data and can only handle one specific task. To address these limitations, we propose a novel generative adversarial network-based missing data reconstruction method in this letter, which is capable of various recon...Show More

Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images

Mingwen Shao;Chao Wang;Tianjun Wu;Deyu Meng;Jiancheng Luo

IEEE Geoscience and Remote Sensing Letters

Year: 2022 | Volume: 19 | Journal Article |

UAV-Assisted Multi-Access Edge Computing: Technologies and Challenges

Peiying Zhang;Chao Wang;Chunxiao Jiang;Abderrahim Benslimane

IEEE Internet of Things Magazine

Year: 2021 | Volume: 4, Issue: 4 | Magazine Article |

Cited by: Papers (25)

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As the number of end users served by wireless networks continues to grow, modern wireless communication systems have put forward higher requirements for the diversity of wireless network forms. The unmanned aerial vehicle (UAV) wireless network communication system will occupy an important position in the future wireless communication system. With the explosive growth of 5G data traffic and Intern...Show More

UAV-Assisted Multi-Access Edge Computing: Technologies and Challenges

Peiying Zhang;Chao Wang;Chunxiao Jiang;Abderrahim Benslimane

IEEE Internet of Things Magazine

Year: 2021 | Volume: 4, Issue: 4 | Magazine Article |

ReLeDP: Reinforcement-Learning-Assisted Dynamic Pricing for Wireless Smart Grid

Peiying Zhang;Chao Wang;Gagangeet Singh Aujla;Ranbir Singh Batth

IEEE Wireless Communications

Year: 2021 | Volume: 28, Issue: 6 | Magazine Article |

Cited by: Papers (7)

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The smart grid must ensure that power providers can obtain substantial benefits by selling energy, while at the same time, they need to consider the cost of consumers. To realize this win-win situation, the smart grid relies on dynamic pricing mechanisms. However, most of the existing dynamic pricing schemes are based on artificial objective rules or conventional models, which cannot ensure the de...Show More

ReLeDP: Reinforcement-Learning-Assisted Dynamic Pricing for Wireless Smart Grid

Peiying Zhang;Chao Wang;Gagangeet Singh Aujla;Ranbir Singh Batth

IEEE Wireless Communications

Year: 2021 | Volume: 28, Issue: 6 | Magazine Article |

Artificial Intelligence Technologies for COVID-19-Like Epidemics: Methods and Challenges

Peiying Zhang;Chao Wang;Neeraj Kumar;Chunxiao Jiang;Qinghua Lu;Kim-Kwang Raymond Choo;Joel J. P. C. Rodrigues

Year: 2021 | Volume: 35, Issue: 3 | Magazine Article |

Cited by: Papers (16)

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The outbreak of coronavirus COVID-19 not only brings great disaster to the people of the world, but also brings heavy burden to the medical and health network system. Massive network data traffic and resource optimization requests make traditional network architectures unable to calmly deal with the impact of COVID-19. Artificial intelligence (AI) can effectively raise the upper limit of the medic...Show More

Artificial Intelligence Technologies for COVID-19-Like Epidemics: Methods and Challenges

Peiying Zhang;Chao Wang;Neeraj Kumar;Chunxiao Jiang;Qinghua Lu;Kim-Kwang Raymond Choo;Joel J. P. C. Rodrigues

Year: 2021 | Volume: 35, Issue: 3 | Magazine Article |

Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

Peiying Zhang;Chao Wang;Chunxiao Jiang;Zhu Han

IEEE Transactions on Industrial Informatics

Year: 2021 | Volume: 17, Issue: 12 | Journal Article |

Cited by: Papers (138)

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The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT equipments generating massive amounts of user data every moment. According to the different requirement of end users, these data usually have high heterogeneity and privacy, while most of users are reluctant to expose them to the public view. How to manage these time series data in an efficient and safe way in ...Show More

Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

Peiying Zhang;Chao Wang;Chunxiao Jiang;Zhu Han

IEEE Transactions on Industrial Informatics

Year: 2021 | Volume: 17, Issue: 12 | Journal Article |

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Chao Wang;Tao Dong;Youxiang Duan;Qifeng Sun;Peiving Zhang

2020 IEEE Computing, Communications and IoT Applications (ComComAp)

Year: 2020 | Conference Paper |

Cited by: Papers (4)

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The rapid development of virtual network architecture makes it possible for wireless network to be widely used. With the popularity of artificial intelligence (AI) industry in daily life, efficient resource allocation of wireless network has become a problem. Especially when network users request wireless network resources from different management domains, they still face many practical problems....Show More

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Chao Wang;Tao Dong;Youxiang Duan;Qifeng Sun;Peiving Zhang

2020 IEEE Computing, Communications and IoT Applications (ComComAp)

Year: 2020 | Conference Paper |

Network Resource Allocation Strategy Based on Deep Reinforcement Learning

Shidong Zhang;Chao Wang;Junsan Zhang;Youxiang Duan;Xinhong You;Peiying Zhang

IEEE Open Journal of the Computer Society

Year: 2020 | Volume: 1 | Journal Article |

Cited by: Papers (13)

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The traditional Internet has encountered a bottleneck in allocating network resources for emerging technology needs. Network virtualization (NV) technology as a future network architecture, the virtual network embedding (VNE) algorithm it supports shows great potential in solving resource allocation problems. Combined with the efficient machine learning (ML) algorithm, a neural network model close...Show More

Network Resource Allocation Strategy Based on Deep Reinforcement Learning

Shidong Zhang;Chao Wang;Junsan Zhang;Youxiang Duan;Xinhong You;Peiying Zhang

IEEE Open Journal of the Computer Society

Year: 2020 | Volume: 1 | Journal Article |

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