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Gongbin Qian - IEEE Xplore Author Profile

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Author details

Gongbin Qian

Publications

27

Citations

218

Publications by Year

20082024

Co-Authors:

Huashu ChenWenyu ChenHong ChenYulong ChenXue Ding

Show All Co-Authors (54)

Gongbin Qian

Affiliation

Guangdong Provincial Key Laboratory of Intelligent Information Processing

Shenzhen University

Shenzhen, China

Publication Topics

Phase Shift,
Reconfigurable Intelligent Surface,
Wireless,
Diagonal Matrix,
Line-of-sight,
Multiple-input Multiple-output,
Optimal Phase Shift,
Path Loss,
Phase Shift Matrix,
Radiofrequency,
6G Networks,
Achievable Rate

Biography

Gongbin Qian received the B.Eng. and M.Sc. degrees from the Harbin Institute of Technology, Harbin, China, in 1990 and 1993, respectively, and the Ph.D. degree from the South China University of Technology, Guangzhou, China, in 2009. He is currently an Associate Professor with Shenzhen University. His research interests include communication theory, signal processing for communications, and array signal processing.(Based on document published on 29 March 2019).

Publications

27

Citations

218

Publications by Year

20082024

Co-Authors:

Huashu Chen
Wenyu Chen
Hong Chen
Yulong Chen
Xue Ding

Show All Co-Authors (54)

Author's Published Works

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Showing 1-8 of 8 results

Conferences (4)

Journals (4)

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Hao Wang(8)
Lu Zhou(6)
Chunpeng Ge(6)
Zhe Liu(4)
Xiaozhen Lu(3)
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China(6)
Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), the Software School, Shandong University and Quan Cheng Laboratory, Jinan, China(1)
Department of Nanjing University of Aeronautics and Astronautics, Nanjing, China(1)
Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR) and the Software School, Shandong University, Jinan, China(1)
Institute of Cybersecurity and Cryptology, School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia(1)
2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)(1)
2021 IEEE Conference on Dependable and Secure Computing (DSC)(1)
2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)(1)
2023 IEEE Symposium on Computers and Communications (ISCC)(1)
IEEE Transactions on Cloud Computing(1)
IEEE(8)
Aizuwakamatsu, Fukushima, Japan(1)
Denver, CO, USA(1)
Gammarth, Tunisia(1)
Guangzhou, China(1)
Smart Contracts(6)
Cloud Computing(4)
Access Control(3)
Secret Key(3)
Threat Model(3)

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ADSS: An Available-but-Invisible Data Service Scheme for Fine-Grained Usage Control

Hao Wang;Jun Wang;Chunpeng Ge;Yuhang Li;Lu Zhou;Zhe Liu;Weibin Wu;Mingsheng Cao

IEEE Transactions on Services Computing

Year: 2025 | Volume: 18, Issue: 1 | Journal Article |

Cited by: Papers (1)

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The demand for mobile terminals to participate in data services is increasingly vital. The General Data Protection Regulation (GDPR) has established several principled requirements for data services. Existing studies focusing on data service put emphasis on data privacy and accessibility. However, they face challenges in achieving data forgetability and portability on mobile devices under GDPR and...Show More

ADSS: An Available-but-Invisible Data Service Scheme for Fine-Grained Usage Control

Hao Wang;Jun Wang;Chunpeng Ge;Yuhang Li;Lu Zhou;Zhe Liu;Weibin Wu;Mingsheng Cao

IEEE Transactions on Services Computing

Year: 2025 | Volume: 18, Issue: 1 | Journal Article |

Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation

Hao Wang;Yichen Cai;Jun Wang;Chuan Ma;Chunpeng Ge;Xiangmou Qu;Lu Zhou

IEEE Transactions on Information Forensics and Security

Year: 2024 | Volume: 19 | Journal Article |

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The decentralized Federated Learning (FL) paradigm built upon blockchain architectures leverages distributed node clusters to replace the single server for executing FL model aggregation. This paradigm tackles the vulnerability of the centralized malicious server in vanilla FL and inherits the trustfulness and robustness offered by blockchain. However, existing blockchain-enabled schemes face chal...Show More

Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation

Hao Wang;Yichen Cai;Jun Wang;Chuan Ma;Chunpeng Ge;Xiangmou Qu;Lu Zhou

IEEE Transactions on Information Forensics and Security

Year: 2024 | Volume: 19 | Journal Article |

A Publicly Verifiable Outsourcing Matrix Computation Scheme Based on Smart Contracts

Hao Wang;Chunpeng Ge;Lu Zhou;Zhe Liu;Dongwan Lan;Xiaozhen Lu;Danni Jiang

IEEE Transactions on Cloud Computing

Year: 2024 | Volume: 12, Issue: 1 | Journal Article |

Cited by: Papers (2)

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Matrix computation is a crucial mathematical tool in scientific fields such as Artificial Intelligence and Cryptographic computation. However, it is difficult for resource-limited devices to execute large-scale matrix computations independently. Outsourcing matrix computation (OMC) is a promising solution that engages a cloud server to process complicated matrix computations for resource-limited d...Show More

A Publicly Verifiable Outsourcing Matrix Computation Scheme Based on Smart Contracts

Hao Wang;Chunpeng Ge;Lu Zhou;Zhe Liu;Dongwan Lan;Xiaozhen Lu;Danni Jiang

IEEE Transactions on Cloud Computing

Year: 2024 | Volume: 12, Issue: 1 | Journal Article |

Attribute-Based Encryption With Reliable Outsourced Decryption in Cloud Computing Using Smart Contract

Chunpeng Ge;Zhe Liu;Willy Susilo;Liming Fang;Hao Wang

IEEE Transactions on Dependable and Secure Computing

Year: 2024 | Volume: 21, Issue: 2 | Journal Article |

Cited by: Papers (20)

HTML

Outsourcing the heavy decryption computation to a cloud service provider has been a promising solution for a resource-constrained mobile device to deploy an attribute-based encryption scheme. However, the current attribute based encryption with outsourced decryption schemes only enable the mobile device to verify whether the cloud service provider has returned a correct decryption result, they lac...Show More

Attribute-Based Encryption With Reliable Outsourced Decryption in Cloud Computing Using Smart Contract

Chunpeng Ge;Zhe Liu;Willy Susilo;Liming Fang;Hao Wang

IEEE Transactions on Dependable and Secure Computing

Year: 2024 | Volume: 21, Issue: 2 | Journal Article |

Detecting Ethereum Phishing Scams with Temporal Motif Features of Subgraph

Yunfei Wang;Hao Wang;Xiaozhen Lu;Lu Zhou;Liang Liu

2023 IEEE Symposium on Computers and Communications (ISCC)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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In recent years, Ethereum has become a hotspot for criminal activities such as phishing scams that seriously compromise Ethereum transaction security. However, existing methods cannot accurately model Ethereum transaction data and make full use of the temporal structure information and basic account features. In this paper, we propose an Ethereum phishing detection framework based on temporal moti...Show More

Detecting Ethereum Phishing Scams with Temporal Motif Features of Subgraph

Yunfei Wang;Hao Wang;Xiaozhen Lu;Lu Zhou;Liang Liu

2023 IEEE Symposium on Computers and Communications (ISCC)

Year: 2023 | Conference Paper |

Gas Price Prediction Based on Machine Learning Combined with Ethereum Mempool

Dongwan Lan;Hao Wang;Changchun Yin;Lu Zhou;Chunpeng Ge;Xiaozhen Lu

2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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Gas is the internal pricing (metering system) for running a contract or in general any transaction in Ethereum. With the popularity of Ethereum, the deficiency of current Ethereum transaction pricing mechanism First Price Auctions is being amplified. The fee paid to miners is the gas used multiplied by the gas price. Hence, designing an effective and accurate gas price prediction method is of grea...Show More

Gas Price Prediction Based on Machine Learning Combined with Ethereum Mempool

Dongwan Lan;Hao Wang;Changchun Yin;Lu Zhou;Chunpeng Ge;Xiaozhen Lu

2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)

Year: 2022 | Conference Paper |

On the Security of Permissionless Blockchain Systems: Challenges and Research Perspective

Hao Wang;Chunpeng Ge;Zhe Liu

2021 IEEE Conference on Dependable and Secure Computing (DSC)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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Blockchain technology enables global mutually trustless participants to reach a consensus on the final state of permissionless distributed and decentralized ledgers. Due to its properties of openness, transparency, irreversibility, and credibility, many systems have been built based on blockchains' structure, such as Bitcoin and Ethereum. With the wide application of blockchains, however, many sec...Show More

On the Security of Permissionless Blockchain Systems: Challenges and Research Perspective

Hao Wang;Chunpeng Ge;Zhe Liu

2021 IEEE Conference on Dependable and Secure Computing (DSC)

Year: 2021 | Conference Paper |

Ciphertext-Policy Attribute-Based Encryption with Multi-keyword Search over Medical Cloud Data

Changchun Yin;Hao Wang;Lu Zhou;Liming Fang

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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Over the years, public health has faced a large number of challenges like COVID-19. Medical cloud computing is a promising method since it can make healthcare costs lower. The computation of health data is outsourced to the cloud server. If the encrypted medical data is not decrypted, it is difficult to search for those data. Many researchers have worked on searchable encryption schemes that allow...Show More

Ciphertext-Policy Attribute-Based Encryption with Multi-keyword Search over Medical Cloud Data

Changchun Yin;Hao Wang;Lu Zhou;Liming Fang

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Year: 2020 | Conference Paper |

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