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Di Che - IEEE Xplore Author Profile

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Author details

Di Che

Also published under: D. Che

Publications

95

Citations

834

Publications by Year

20132024

Co-Authors:

Trevor AndersonVahid ArefM. AstolfiM. BahadoriHongchun Bao

Show All Co-Authors (122)

Di Che

Also published under: D. Che

Affiliation

Nokia Bell Labs

Murray Hill

NJ, United States

Publication Topics

Forward Error Correction,
Digital Signal Processing,
Bit Error Rate,
Optical Amplifier,
Mach-Zehnder Modulator,
Standard Single-mode Fiber,
Limited Bandwidth,
Modulation Formats,
Optical Power,
Real-time Oscilloscope,
Analog-to-digital Converter,
Arbitrary Waveform Generator

Biography

Di Che was born in Anhui, China. He received the B.E. degree from the University of Science and Technology of China, Hefei, China, in 2012. He is currently working toward the Ph.D. degree in the Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Vic., Australia. His research interests include optical OFDM transmissions and advanced coding schemes.(Based on document published on 18 December 2013).

Publications

95

Citations

834

Publications by Year

20132024

Co-Authors:

Trevor Anderson
Vahid Aref
M. Astolfi
M. Bahadori
Hongchun Bao

Show All Co-Authors (122)

Author's Published Works

Search History

Showing 1-12 of 12 results

Conferences (6)

Journals (4)

Early Access Articles (2)

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Wangjie Qiu(12)
Zhiming Zheng(5)
Chunpei Li(4)
Qinnan Zhang(3)
Bo Yuan(3)
Zhongguancun Laboratory, Beijing, China(3)
Institute of Artificial Intelligence, Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University, Beijing, China(3)
School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China(2)
State Grid Corporation of China, State Grid Anhui Electric Power Research Institute, Hefei, China(2)
Health Blockchain Research Center, Binzhou Medical University, Yantai, Shandong, China(2)
IEEE Transactions on Computers(2)
2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)(1)
2021 International Conference on Intelligent Computing, Automation and Systems (ICICAS)(1)
2022 5th International Conference on Data Science and Information Technology (DSIT)(1)
2023 3rd International Conference on Electronic Information Engineering and Computer (EIECT)(1)
IEEE(12)
Chengdu, China(1)
Chongqing, China(1)
Jersey City, NJ, USA(1)
Shanghai, China(1)
Shenzhen, China(1)
Smart Contracts(8)
Public Key(6)
Secret Key(5)
Blockchain System(4)
Blockchain Technology(4)

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MoltDB: Accelerating Blockchain via Ancient State Segregation

Junyuan Liang;Wuhui Chen;Zicong Hong;Haogang Zhu;Wangjie Qiu;Zibin Zheng

IEEE Transactions on Parallel and Distributed Systems

Year: 2024 | Volume: 35, Issue: 12 | Journal Article |

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Blockchain store states in Log-Structured Merge (LSM) tree-based database. Due to blockchain traceability, the growing ancient states are inevitably stored in the databases. Unfortunately, by default, this process mixes current and ancient states in the data layout, increasing unnecessary disk I/O access and slowing transaction execution. This paper proposes MoltDB, a scalable LSM-based database f...Show More

MoltDB: Accelerating Blockchain via Ancient State Segregation

Junyuan Liang;Wuhui Chen;Zicong Hong;Haogang Zhu;Wangjie Qiu;Zibin Zheng

IEEE Transactions on Parallel and Distributed Systems

Year: 2024 | Volume: 35, Issue: 12 | Journal Article |

Blockchain-Based Privacy-Preserving and Accountable Mobile Edge Outsourcing Computing Framework for the Metaverse

Chunpei Li;Chen Liu;Peng Liu;Xianxian Li;Wangjie Qiu;Lei Lei;Yanli Jin

IEEE Transactions on Green Communications and Networking

Year: 2024 | Early Access Article |

Mobile Edge Computing (MEC) enables Metaverse Terminal Devices (MTD) to perform complex tasks, including graphic rendering and physical simulation, by leveraging low-latency outsourced computing. However, existing research has not fully addressed the challenge of establishing an efficient outsourced computing service within an open and dynamic MEC environment that simultaneously ensures privacy an...Show More

Blockchain-Based Privacy-Preserving and Accountable Mobile Edge Outsourcing Computing Framework for the Metaverse

Chunpei Li;Chen Liu;Peng Liu;Xianxian Li;Wangjie Qiu;Lei Lei;Yanli Jin

IEEE Transactions on Green Communications and Networking

Year: 2024 | Early Access Article |

Toward Free-Riding Attack on Cross-Silo Federated Learning Through Evolutionary Game

Tianxiang Chen;Feng Wang;Wangjie Qiu;Qinnan Zhang;Zehui Xiong;Zhiming Zheng

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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In cross-silo federated learning (FL), due to the heterogeneous participants, free-riders can utilize information asymmetry to make profits without performing any local model training. Free-riding attack poses possibilities and opportunities for unfairness and can seriously impair the operation of the FL ecosystem. It motivates our work to explore and characterize the unique features of free-ridin...Show More

Toward Free-Riding Attack on Cross-Silo Federated Learning Through Evolutionary Game

Tianxiang Chen;Feng Wang;Wangjie Qiu;Qinnan Zhang;Zehui Xiong;Zhiming Zheng

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)

Year: 2024 | Conference Paper |

Exploring Edge-driven Collaborative Fine-tuning Towards Customized AIGC Services

Qinnan Zhang;Tianqi Zong;Zehui Xiong;Pangbo Sun;Jianming Zhu;Wangjie Qiu;Zhiming Zheng;H. Vincent Poor

Year: 2024 | Early Access Article |

With the popularization of artificial intelligence-generated content (AIGC), the explosion of end users is spurring an unprecedented diversity in preferences. To cope with this challenge, the AIGC paradigm is shifting from cloud-driven pre-trained large models to edge-driven personalized customization models. The former are large-scale models with more than 100 billion parameters trained based on ...Show More

Exploring Edge-driven Collaborative Fine-tuning Towards Customized AIGC Services

Qinnan Zhang;Tianqi Zong;Zehui Xiong;Pangbo Sun;Jianming Zhu;Wangjie Qiu;Zhiming Zheng;H. Vincent Poor

Year: 2024 | Early Access Article |

An Efficient Multiparty Payment Protocol for IoT Micro-Payments

Jinchun He;Wangjie Qiu;Shengda Zhuo;Minghui Xu;Qinnan Zhang;Zehui Xiong;Zhiming Zheng

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 20 | Journal Article |

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The blockchain can offer a dependable and secure platform for Internet of Things (IoT) transactions with its distributed and secure network architecture. Unfortunately, it faces challenges, such as limited throughput, excessive computational costs, and high-transaction fees. Off-chain scaling protocols are used to address the scalability of blockchain for their outstanding performance and efficien...Show More

An Efficient Multiparty Payment Protocol for IoT Micro-Payments

Jinchun He;Wangjie Qiu;Shengda Zhuo;Minghui Xu;Qinnan Zhang;Zehui Xiong;Zhiming Zheng

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 20 | Journal Article |

A Dynamic Adaptive Framework for Practical Byzantine Fault Tolerance Consensus Protocol in the Internet of Things

Chunpei Li;Wangjie Qiu;Xianxian Li;Chen Liu;Zhiming Zheng

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 7 | Journal Article |

Cited by: Papers (2)

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The Practical Byzantine Fault Tolerance (PBFT) protocol-supported blockchain can provide decentralized security and trust mechanisms for the Internet of Things (IoT). However, the PBFT protocol is not specifically designed for IoT applications. Consequently, adapting PBFT to the dynamic changes of an IoT environment with incomplete information represents a challenge that urgently needs to be addre...Show More

A Dynamic Adaptive Framework for Practical Byzantine Fault Tolerance Consensus Protocol in the Internet of Things

Chunpei Li;Wangjie Qiu;Xianxian Li;Chen Liu;Zhiming Zheng

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 7 | Journal Article |

A Secure and Flexible Blockchain-Based Offline Payment Protocol

Wanqing Jie;Wangjie Qiu;Arthur Sandor Voundi Koe;Jianhong Li;Yin Wang;Yaqi Wu;Jin Li;Zhiming Zheng

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 2 | Journal Article |

Cited by: Papers (6)

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Off-chain transactions seek to address the low on-chain scalability and enable blockchain-based payments over unreliable on-chain networks. The key problem with existing works is that they fail to balance security and flexibility in their designs. These studies would have been more useful if they could provide a sense of security without compromising their flexibility. We hypothesize that two offl...Show More

A Secure and Flexible Blockchain-Based Offline Payment Protocol

Wanqing Jie;Wangjie Qiu;Arthur Sandor Voundi Koe;Jianhong Li;Yin Wang;Yaqi Wu;Jin Li;Zhiming Zheng

IEEE Transactions on Computers

Year: 2024 | Volume: 73, Issue: 2 | Journal Article |

An efficient and privacy-preserving energy trading mechanism of peer-to-peer with MA-ABE and blockchain

Panan Cao;Wangjie Qiu;Chunpei Li;Jinzhong Li

2023 3rd International Conference on Electronic Information Engineering and Computer (EIECT)

Year: 2023 | Conference Paper |

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For the peer-to-peer energy transaction trend, we propose an efficient and privacy-preserving access control scheme for transaction data. It is a distributed energy transaction matching method based on blockchain and ABE, which utilizes the access control features of ABE so that, unless the transaction is disputed, the seller and buyer can autonomously perform peer-to-peer matching through the acc...Show More

An efficient and privacy-preserving energy trading mechanism of peer-to-peer with MA-ABE and blockchain

Panan Cao;Wangjie Qiu;Chunpei Li;Jinzhong Li

2023 3rd International Conference on Electronic Information Engineering and Computer (EIECT)

Year: 2023 | Conference Paper |

A Cross-Chain Transaction Model for Power Blockchain Based on Hash-Locking Mechanism

Jinzhong Li;Xiangjun Duan;Wangjie Qiu;Panan Cao;Zhen Wang;Yunshuo Li

2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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Blockchain is a closed island in the traditional power transaction platform and cannot freely trade with others, which limits the flexibility and autonomy of the distributed power trading market. Aiming at the problems of network isolation and interoperability among different power blockchains, we proposed a general and compatible power cross-chain trading protocol based on hash time locking techn...Show More

A Cross-Chain Transaction Model for Power Blockchain Based on Hash-Locking Mechanism

Jinzhong Li;Xiangjun Duan;Wangjie Qiu;Panan Cao;Zhen Wang;Yunshuo Li

2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE)

Year: 2023 | Conference Paper |

PPIRB:Achieving an privacy-preserving image retrieval scheme Based on Blockchain

Bo Yuan;Jiahui Peng;Chunpei Li;Wangjie Qiu

2022 5th International Conference on Data Science and Information Technology (DSIT)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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With the proliferation of cloud services, the work of large-scale image retrieval is carried out on remote cloud become a trend in order to get rid of the storage burden and computation. However, traditional retrieval work based on centralized cloud services is considered to take risk in giving away users' privacy in many researches. We need a secure way for retrieving and storing images by decent...Show More

PPIRB:Achieving an privacy-preserving image retrieval scheme Based on Blockchain

Bo Yuan;Jiahui Peng;Chunpei Li;Wangjie Qiu

2022 5th International Conference on Data Science and Information Technology (DSIT)

Year: 2022 | Conference Paper |

Personalized Federated Learning System Based on Permissioned Blockchain

Bo Yuan;Wangjie Qiu

2021 International Conference on Intelligent Computing, Automation and Systems (ICICAS)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Federated learning ensures the privacy of data generated by large-scale IoT devices. Existing federated learning frameworks, based on centralized model coordinators, still face serious security challenges such as single point of failure and lack of privacy. In this paper, we propose a personalized federated learning system based on permissioned blockchain, which is divided into four layers of arch...Show More

Personalized Federated Learning System Based on Permissioned Blockchain

Bo Yuan;Wangjie Qiu

2021 International Conference on Intelligent Computing, Automation and Systems (ICICAS)

Year: 2021 | Conference Paper |

Blockchain-Based Infrastructure for Artificial Intelligence with Quantum Resistant

Bo Yuan;Faguo Wu;Wangjie Qiu;Wendi Wang;Hong Zhu;Dongxu Zhou

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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It is undeniable that the concepts of artificial intelligence and blockchain are spreading at an alarming speed. These two technologies have different degrees of technical complexity and multi-dimensional business meaning. The convergence of artificial intelligence and blockchain holds the promise of creating smarter, safer, efficient, and more secure systems. However, with the surprising developm...Show More

Blockchain-Based Infrastructure for Artificial Intelligence with Quantum Resistant

Bo Yuan;Faguo Wu;Wangjie Qiu;Wendi Wang;Hong Zhu;Dongxu Zhou

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)

Year: 2021 | Conference Paper |

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