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Huaman Zhou - IEEE Xplore Author Profile

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Author details

Huaman Zhou

Publications

4

Citations

33

Publications by Year

20212023

Co-Authors:

Weibo CaiYihong HeZonghang LiLing LiuLong Luo

Show All Co-Authors (10)

Huaman Zhou

Affiliation

University of Electronic Science and Technology of China

Publication Topics

Distributed Machine Learning,
Global Model,
Parameter Server,
Training Efficiency,
Wide Area Network,
Accuracy Loss,
AlexNet,
Convergence Accuracy,
Edge Server,
Federated Learning,
Global Synchronization,
High Overhead

Biography

Huaman Zhou is currently working toward the PhD degree with the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China. His research interests include distributed machine learning, federated learning, and network scheduling.(Based on document published on 11 December 2020).

Publications

4

Citations

33

Publications by Year

20212023

Co-Authors:

Weibo Cai
Yihong He
Zonghang Li
Ling Liu
Long Luo

Show All Co-Authors (10)

Author's Published Works

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Showing 1-25 of 40 results

Conferences (26)

Journals (11)

Early Access Articles (2)

Magazines (1)

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Jianming Zhu(38)
Sheng Gao(10)
Fu Chen(5)
Yanmei Zhang(4)
Zhiyuan Sui(4)
School of Information, Central University of Finance and Economics, Beijing, China(23)
Central University of Finance and Economics, Beijing, China(3)
Information School, Central University of Finance and Economics, Beijing, China(2)
School of Information, Central University of Finance and Economics, BeiJing, China(2)
College of Information, Central University of Finance and Economics, Beijing, China(2)
2014 International Conference on Management of e-Commerce and e-Government(3)
IEEE Access(3)
2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)(2)
2020 IEEE International Conference on Smart Cloud (SmartCloud)(2)
2008 International Conference on Security Technology(1)
IEEE(39)
CIE(1)
Shanghai, China(3)
Nanjing, China(2)
Nanning, China(2)
Toronto, ON, Canada(2)
Washington, DC, USA(2)
Public Key(9)
Secret Key(9)
Hash Function(8)
Internet Of Things(8)
Smart Contracts(8)

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BPMN-LLM: Transforming BPMN Models into Smart Contracts Using Large Language Models

Sheng Gao;Wenting Liu;Jianming Zhu;Xuewen Dong;Jin Dong

Year: 2025 | Early Access Article |

“Law is code” is pivotal for advancing the intelligent judiciary. Existing works that transform a legal contract (LC) into a smart contract (SC) largely depend on pre-defined mapping rules that necessitate specialized programming skills, suffering from challenges such as reduced dynamic adaptability and high labor costs. In this article, we propose BPMN-LLM, the first work that transforms BPMN mod...Show More

BPMN-LLM: Transforming BPMN Models into Smart Contracts Using Large Language Models

Sheng Gao;Wenting Liu;Jianming Zhu;Xuewen Dong;Jin Dong

Year: 2025 | Early Access Article |

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 |

Comments on “Lightweight Privacy and Security Computing for Blockchained Federated Learning in IoT”

Zhiyuan Sui;Yujiao Sun;Jianming Zhu;Fu Chen

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 8 | Journal Article |

Cited by: Papers (1)

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Federated learning has been used to collaboratively train a decentralized model without sharing confidential model records. However, many security risks are involved in this regard, and scholars have conducted numerous studies on related topics. Fan et al. proposed a scheme to achieve model unforgeability and confidentiality in blockchained federated learning (lightweight privacy blockchained fede...Show More

Comments on “Lightweight Privacy and Security Computing for Blockchained Federated Learning in IoT”

Zhiyuan Sui;Yujiao Sun;Jianming Zhu;Fu Chen

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 8 | Journal Article |

Locally Differential Private Federated Learning with Controllable Perturbation Domains

Yuhua Wang;Jianming Zhu

2023 International Conference on Networking and Network Applications (NaNA)

Year: 2023 | Conference Paper |

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As a kind of distributed machine learning, federated learning allows each party to upload local model parameters instead of sensitive data to train a more accurate global model collaboratively. However, since it turns out that the original training data can be inferred by intercepting and analyzing the passed model parameters, local differential privacy is introduced into the federated learning to...Show More

Locally Differential Private Federated Learning with Controllable Perturbation Domains

Yuhua Wang;Jianming Zhu

2023 International Conference on Networking and Network Applications (NaNA)

Year: 2023 | Conference Paper |

Ownership Tokenization and Incentive Design for Learning-based User-Generated Content

Qinnan Zhang;Zehui Xiong;Jianming Zhu;Sheng Gao;Wanting Yang;Dusit Niyato

2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)

Year: 2023 | Conference Paper |

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The Metaverse is established by twining a practical world in a virtual form, where users could become creators of learning-based user-generated content (UGC). However, the digital assets are not owned by the creators, which deviates from the decentralized Metaverse based on blockchain in Web 3.0. The contribution incentive design for UGC still faces the challenges of ownership verification and pri...Show More

Ownership Tokenization and Incentive Design for Learning-based User-Generated Content

Qinnan Zhang;Zehui Xiong;Jianming Zhu;Sheng Gao;Wanting Yang;Dusit Niyato

2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)

Year: 2023 | Conference Paper |

VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning

Sheng Gao;Jingjie Luo;Jianming Zhu;Xuewen Dong;Weisong Shi

IEEE Transactions on Information Forensics and Security

Year: 2023 | Volume: 18 | Journal Article |

Cited by: Papers (6)

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Federated learning (FL) is essentially a distributed machine learning paradigm that enables the joint training of a global model by aggregating gradients from participating clients without exchanging raw data. However, a malicious aggregation server may deliberately return designed results without any operation to save computation overhead, or even launch privacy inference attacks using crafted gr...Show More

VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning

Sheng Gao;Jingjie Luo;Jianming Zhu;Xuewen Dong;Weisong Shi

IEEE Transactions on Information Forensics and Security

Year: 2023 | Volume: 18 | Journal Article |

BPMS: Blockchain-Based Privacy-Preserving Multi-Keyword Search in Multi-Owner Setting

Sheng Gao;Yuqi Chen;Jianming Zhu;Zhiyuan Sui;Rui Zhang;Xindi Ma

IEEE Transactions on Cloud Computing

Year: 2023 | Volume: 11, Issue: 3 | Journal Article |

Cited by: Papers (9)

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Searchable encryption (SE) has emerged as a cryptographic primitive that allows data users to search on encrypted data. Most existing SE schemes usually delegate search operations to an intermediary such as a cloud server, which would inevitably result in single-point failure, privacy leakage, and even untrustworthy results. Several blockchain-based SE schemes have been proposed to alleviate these...Show More

BPMS: Blockchain-Based Privacy-Preserving Multi-Keyword Search in Multi-Owner Setting

Sheng Gao;Yuqi Chen;Jianming Zhu;Zhiyuan Sui;Rui Zhang;Xindi Ma

IEEE Transactions on Cloud Computing

Year: 2023 | Volume: 11, Issue: 3 | Journal Article |

CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion

Jing Li;Jianming Zhu;Chang Li;Xun Chen;Bin Yang

IEEE Transactions on Instrumentation and Measurement

Year: 2022 | Volume: 71 | Journal Article |

Cited by: Papers (58)

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Deep learning has been successfully applied to infrared and visible image fusion due to its powerful ability of feature representation. Existing most deep learning-based infrared and visible image fusion methods mainly utilize pure convolution model or pure transformer model, which leads to that the fused image cannot preserve long-range dependences (global context) and local features simultaneous...Show More

CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion

Jing Li;Jianming Zhu;Chang Li;Xun Chen;Bin Yang

IEEE Transactions on Instrumentation and Measurement

Year: 2022 | Volume: 71 | Journal Article |

TrustWorker: A Trustworthy and Privacy-Preserving Worker Selection Scheme for Blockchain-Based Crowdsensing

Sheng Gao;Xiuhua Chen;Jianming Zhu;Xuewen Dong;Jianfeng Ma

IEEE Transactions on Services Computing

Year: 2022 | Volume: 15, Issue: 6 | Journal Article |

Cited by: Papers (25)

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Worker selection in crowdsensing plays an important role in the quality control of sensing services. The majority of existing studies on worker selection were largely dependent on a trusted centralized server, which might suffer from single point of failure, the lack of transparency and so on. Some works recently proposed blockchain-based crowdsensing, which utilized reputation values stored on bl...Show More

TrustWorker: A Trustworthy and Privacy-Preserving Worker Selection Scheme for Blockchain-Based Crowdsensing

Sheng Gao;Xiuhua Chen;Jianming Zhu;Xuewen Dong;Jianfeng Ma

IEEE Transactions on Services Computing

Year: 2022 | Volume: 15, Issue: 6 | Journal Article |

RGFN: Recurrent Graph Feature Network for ClickBait Detection

Youwei Wang;Haoran Zhang;Jianming Zhu;Yang Li;Lizhou Feng

2021 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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With the booming development of social media, clickbaits are widespread in the online world. Online users can get easily infected by these deceptive titles, which has brought many network security problems. Clickbait detection is a sub-problem in practical text classification tasks with strongly unbalanced training set. Previous researches tend to extract implicit text features automatically throu...Show More

RGFN: Recurrent Graph Feature Network for ClickBait Detection

Youwei Wang;Haoran Zhang;Jianming Zhu;Yang Li;Lizhou Feng

2021 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS)

Year: 2021 | Conference Paper |

Code Will Speak: Early detection of Ponzi Smart Contracts on Ethereum

Yanmei Zhang;Siqian Kang;Wei Dai;Shiping Chen;Jianming Zhu

2021 IEEE International Conference on Services Computing (SCC)

Year: 2021 | Conference Paper |

Cited by: Papers (14)

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The prevalence of Bitcoin has attracted a mass of investors into the blockchain ecosystem. Unfortunately, benefiting from its anonymity and immutability, scammers deploy various traps in smart contracts to exploit other participants and seize illegal proceeds. To identify smart Ponzi contracts-a classic fraud widely popular on Ethereum, previous studies present several machine learning-based model...Show More

Code Will Speak: Early detection of Ponzi Smart Contracts on Ethereum

Yanmei Zhang;Siqian Kang;Wei Dai;Shiping Chen;Jianming Zhu

2021 IEEE International Conference on Services Computing (SCC)

Year: 2021 | Conference Paper |

Blockchain Empowered Reliable Federated Learning by Worker Selection: A Trustworthy Reputation Evaluation Method

Qinnan Zhang;Qingyang Ding;Jianming Zhu;Dandan Li

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

Year: 2021 | Conference Paper |

Cited by: Papers (26)

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Federated learning is a distributed machine learning framework that enables distributed model training with local datasets, which can effectively protect the data privacy of workers (i.e., intelligent edge nodes). The majority of federated learning algorithms assume that the workers are trusted and voluntarily participate in the cooperative model training process. However, the situation in practic...Show More

Blockchain Empowered Reliable Federated Learning by Worker Selection: A Trustworthy Reputation Evaluation Method

Qinnan Zhang;Qingyang Ding;Jianming Zhu;Dandan Li

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

Year: 2021 | Conference Paper |

A Study on MQTT Node Selection

Fu Chen;Yujia Huo;Kun Liu;Wenying Tang;Jianming Zhu;Zhiyuan Sui

2020 16th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2020 | Conference Paper |

Cited by: Papers (7)

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The Internet of Things (IOT) is an Internet-based network that covers everything. Message Queuing Telemetry Transport (MQTT) is one of the commonly used communication protocols for any platform in the Internet of Things. Whether it is from the perspective of overall security or device compatibility and resource consumption, the MQTT protocol has certain advantages and is the most competitive commu...Show More

A Study on MQTT Node Selection

Fu Chen;Yujia Huo;Kun Liu;Wenying Tang;Jianming Zhu;Zhiyuan Sui

2020 16th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2020 | Conference Paper |

Measurement and Analysis of Network Data Based on MQTT Protocol

Fu Chen;Yongfeng Huang;JianMing Zhu;Sheng Gao;Zhiyuan Sui;MeiJiao Duan

2020 IEEE 20th International Conference on Communication Technology (ICCT)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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As a lightweight protocol, the Message Queuing Telemetry Transport (MQTT) is widely used in the scopes of Internet of Things on account of its quite low bandwidth requirements. We built a temperature and humidity monitoring system using the Raspberry Pi and NodeMcu to communicate with each other through the MQTT protocol. This work applies network analytics tools such as Wireshark to capture and a...Show More

Measurement and Analysis of Network Data Based on MQTT Protocol

Fu Chen;Yongfeng Huang;JianMing Zhu;Sheng Gao;Zhiyuan Sui;MeiJiao Duan

2020 IEEE 20th International Conference on Communication Technology (ICCT)

Year: 2020 | Conference Paper |

A Review on the Study on MQTT Security Challenge

Fu Chen;Yujia Huo;Jianming Zhu;Dan Fan

2020 IEEE International Conference on Smart Cloud (SmartCloud)

Year: 2020 | Conference Paper |

Cited by: Papers (46)

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With the enhancement of mobile network access capabilities, the application of the Internet of Things has become increasingly widespread, and related research on the Internet of Things has received extensive attention from the academic and industrial fields. The security and efficiency of M2M in IoT are the core basic issues. Devices and systems in IoT are very complex, and the research on the com...Show More

A Review on the Study on MQTT Security Challenge

Fu Chen;Yujia Huo;Jianming Zhu;Dan Fan

2020 IEEE International Conference on Smart Cloud (SmartCloud)

Year: 2020 | Conference Paper |

A New Attack Method for Malicious Nodes in Tangle Network

Fu Chen;Huoyu Jia;Kun Liu;Wenying Tang;Jianming Zhu;Weiyu Guo

2020 IEEE International Conference on Smart Cloud (SmartCloud)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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As a blockchain in the field of Internet of Things, Tangle network has received extensive attention from academia and industry. The Tangle network forms a distributed ledger structure through a Directed Acyclic Graph (DAG). Malicious nodes try to achieve the purpose of attack by preventing consensus or reducing the efficiency of consensus. Fast Probabilistic Consensus (FPC) is an important method ...Show More

A New Attack Method for Malicious Nodes in Tangle Network

Fu Chen;Huoyu Jia;Kun Liu;Wenying Tang;Jianming Zhu;Weiyu Guo

2020 IEEE International Conference on Smart Cloud (SmartCloud)

Year: 2020 | Conference Paper |

TrustAccess: A Trustworthy Secure Ciphertext-Policy and Attribute Hiding Access Control Scheme Based on Blockchain

Sheng Gao;Guirong Piao;Jianming Zhu;Xindi Ma;Jianfeng Ma

IEEE Transactions on Vehicular Technology

Year: 2020 | Volume: 69, Issue: 6 | Journal Article |

Cited by: Papers (98)

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Ciphertext-policy attribute-based encryption (CP-ABE) is widely used in fine-grained access control to achieve the secure data sharing. However, most of the existing CP-ABE access control schemes involve intermediary entities, which might suffer from a high trust-building cost, single point of failure and so on. Due to the decentralization and transparency of blockchain, some blockchain-based acce...Show More

TrustAccess: A Trustworthy Secure Ciphertext-Policy and Attribute Hiding Access Control Scheme Based on Blockchain

Sheng Gao;Guirong Piao;Jianming Zhu;Xindi Ma;Jianfeng Ma

IEEE Transactions on Vehicular Technology

Year: 2020 | Volume: 69, Issue: 6 | Journal Article |

Permissioned Blockchain-Based Double-Layer Framework for Product Traceability System

Qingyang Ding;Sheng Gao;Jianming Zhu;Chongxuan Yuan

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (48)

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Blockchain-based product traceability systems are receiving increasing attention from both industry and academia. Existing systems make full use of the traceability and non-modification characteristics of blockchain technology and realize the openness and transparency of product traceability information in the entire supply chain. However, existing systems do not consider government regulation, ca...Show More

Permissioned Blockchain-Based Double-Layer Framework for Product Traceability System

Qingyang Ding;Sheng Gao;Jianming Zhu;Chongxuan Yuan

Year: 2020 | Volume: 8 | Journal Article |

T-PBFT: An EigenTrust-based practical Byzantine fault tolerance consensus algorithm

Sheng Gao;Tianyu Yu;Jianming Zhu;Wei Cai

China Communications

Year: 2019 | Volume: 16, Issue: 12 | Magazine Article |

Cited by: Papers (140)

Blockchain with these characteristics of decentralized structure, transparent and credible, time-series and immutability, has been considering as a promising technology. Consensus algorithm as one of the core techniques of blockchain directly affects the scalability of blockchain systems. Existing probabilistic finality blockchain consensus algorithms such as PoW, PoS, suffer from power consumptio...Show More

T-PBFT: An EigenTrust-based practical Byzantine fault tolerance consensus algorithm

Sheng Gao;Tianyu Yu;Jianming Zhu;Wei Cai

China Communications

Year: 2019 | Volume: 16, Issue: 12 | Magazine Article |

Operation Mechanisms for Intelligent Logistics System: A Blockchain Perspective

Yonggui Fu;Jianming Zhu

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (53)

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Aiming at the current problems of security threats and privacy leak risks in the operation process of related data of intelligent logistics system, and the operation of system lacking of supervision and traceability, this paper proposes to use blockchain technology to resolve these problems. A scheme on applying blockchain in intelligent logistics system is proposed, including operation principle,...Show More

Operation Mechanisms for Intelligent Logistics System: A Blockchain Perspective

Yonggui Fu;Jianming Zhu

Year: 2019 | Volume: 7 | Journal Article |

Big Production Enterprise Supply Chain Endogenous Risk Management Based on Blockchain

Yonggui Fu;Jianming Zhu

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (103)

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In view of the influence of information's “incompleteness” and “asymmetry” to supply chain operation efficiency, we make big production enterprise as the object and apply blockchain to its supply chain endogenous risk management, to research the specific operation mechanism and application value. In the operation process of big production enterprise supply chain, because of the information's asymm...Show More

Big Production Enterprise Supply Chain Endogenous Risk Management Based on Blockchain

Yonggui Fu;Jianming Zhu

Year: 2019 | Volume: 7 | Journal Article |

Public Philanthropy Logistics Platform Based on Blockchain Technology for Social Welfare Maximization

Jiafeng Li;Fuyang Qu;Xin Tu;Tingfei Fu;Jiayan Guo;Jianming Zhu

2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)

Year: 2018 | Conference Paper |

Cited by: Papers (10)

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Focusing on the overlapping areas of the logistics industry with a large number of mature blockchain applications and the public welfare industry that requires high transparency and credibility, this paper designs and implements an innovative philanthropy logistics platform based on blockchain technology through the Ethereum platform. Our platform makes use of the open, transparent, and irrevocabl...Show More

Public Philanthropy Logistics Platform Based on Blockchain Technology for Social Welfare Maximization

Jiafeng Li;Fuyang Qu;Xin Tu;Tingfei Fu;Jiayan Guo;Jianming Zhu

2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)

Year: 2018 | Conference Paper |

Data Sharing and Tracing Scheme Based on Blockchain

Zuan Wang;Youliang Tian;Jianming Zhu

2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)

Year: 2018 | Conference Paper |

Cited by: Papers (40)

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The existing data sharing models have some issues such as poor transparency of data transactions, data without security assurance and lacking of effective data tracking methods. This paper proposed a brand-new data sharing scheme based on blockchain technology. Firstly, a blockchain double-chain structure about blockchain was introduced, one chain was used to store the original data and another wa...Show More

Data Sharing and Tracing Scheme Based on Blockchain

Zuan Wang;Youliang Tian;Jianming Zhu

2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)

Year: 2018 | Conference Paper |

CPS Information Security Risk Evaluation System Based on Petri Net

Yonggui Fu;Jianming Zhu;Sheng Gao

2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)

Year: 2017 | Conference Paper |

Cited by: Papers (8)

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Cyber Physical Systems(CPS) have achieved attention, research and applications from the governments, academic circles, industry circles of domestic and foreign, so, CPS have become an important content of China's two modernizations' deeply integration in future. Using Petri net model to describe CPS information security risk evaluation process. Colligating Petri net model analysis results and CPS ...Show More

CPS Information Security Risk Evaluation System Based on Petri Net

Yonggui Fu;Jianming Zhu;Sheng Gao

2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)

Year: 2017 | Conference Paper |

RYY++: A Novel Provably Secure Identity-Based Authenticated Key Agreement Protocol

Yang Li;Jianming Zhu;Ning Zhang;Xiuli Wang;Yaoqi Zhang

Chinese Journal of Electronics

Year: 2015 | Volume: 24, Issue: 2 | Journal Article |

Cited by: Papers (1)

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Based on revisiting the RYY+ Identity-based (ID-Based) key agreement protocol, we find it's vulnerable to Intermediate results leakage (IRL) and Key-compromise impersonation (KCI) attack. A novel protocol called RYY++ is proposed to make up for its deficiencies. Our protocol follows the Full dual exponential challenge response (FDCR-1) scheme to ensure the signature change every time, so the maste...Show More

RYY++: A Novel Provably Secure Identity-Based Authenticated Key Agreement Protocol

Yang Li;Jianming Zhu;Ning Zhang;Xiuli Wang;Yaoqi Zhang

Chinese Journal of Electronics

Year: 2015 | Volume: 24, Issue: 2 | Journal Article |

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