Research Publications

Discover our latest research contributions to blockchain technology, federated learning, Web 3.0 ecosystems, and intelligent computing systems. Our work has been published in prestigious journals and conferences worldwide.

Connector: Enhancing the traceability of decentralized bridge applications via automatic cross-chain transaction association

Authors: D Lin, J Wu, Y Su, Z Zheng, Y Nan, Q Zhang, B Song, Z Zheng
Journal: IEEE Transactions on Information Forensics and Security

Year: 2025
Citations: 4

MMFed: A Multimodal Federated Learning Framework for Heterogeneous Devices

Authors: G Wang, Y Zhang, C Ying, Q Zhang, Z Xiong, J Wang, G Yu
Journal: IEEE Internet of Things Journal

Year: 2025

Q-DPoS: An Improved DPoS Consensus based on Quadratic Voting Mechanism in Web 3.0

Authors: T Lei, Q Zhang, W Qiu, H Zheng, S Miao, W Jie, J Zhu, J Dong, Z Zheng

Conference: 2025 IEEE Global Blockchain Conference (GBC), 1-8
Year: 2025

A Semantic Detection Incentive Mechanism For Blockchain Transactions Based on Evolutionary Game Theory in Web3 Ecosystem

Authors: Z Zhang, Q Zhang, W Qiu, H Zheng, S Miao, W Jie, J Zhu, J Dong, …

Conference: 2025 IEEE Global Blockchain Conference (GBC), 1-7
Year: 2025

Enhancing partition distinction: A contrastive policy to recommendation unlearning

Authors: L Li, S Zhuo, H Lin, J He, W Qiu, Q Zhang, C Wang, S Huang
Journal: Neural Networks, 107667

Year: 2025

Exploring AIoT Blockchain Transaction Semantic Detection and Incentive Mechanism with Evolutionary Game Towards Web 3.0 Ecosystem

Authors: Q Zhang, Z Zhang, Y Chen, M Xu, Z Xiong, J Ji, W Qiu, H Zheng, J Zhu, …
Journal: IEEE Internet of Things Journal

Year: 2025

Agent4Vul: multimodal LLM agents for smart contract vulnerability detection

Authors: W Jie, W Qiu, H Yang, M Guo, X Huang, T Lei, Q Zhang, H Zheng, …
Journal: Science China Information Sciences 68 (6), 160101

Year: 2025

ContribChain: A Stress-Balanced Blockchain Sharding Protocol with Node Contribution Awareness

Authors: X Huang, W Jie, S Zhang, H Yang, W Qiu, Q Zhang, H Huang, Z Xiong, …

Conference: IEEE INFOCOM 2025-IEEE Conference on Computer Communications, 1-10
Year: 2025
Citations: 1

Know Your Account: Double Graph Inference-Based Account De-Anonymization on Ethereum

Authors: S Miao, W Qiu, H Zheng, Q Zhang, X Tu, X Liu, Y Liu, J Dong, Z Zheng

Conference: 2025 IEEE 41st International Conference on Data Engineering (ICDE), 1305-1318
Year: 2025
Citations: 1

CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain

Authors: L Wang, H Zhang, Q Zhang, Z Wang, H Zheng, J Dong, Z Zheng
Journal: arXiv preprint arXiv:2504.21043

Year: 2025
Citations: 3

Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT

Authors: J Chen, S Zhuo, J He, W Qiu, Q Zhang, Z Xiong, Z Zheng, Y Tang, M Chen, …
Journal: IEEE Internet of Things Journal

Year: 2025
Citations: 1

An enhanced DPoS consensus mechanism using quadratic voting in Web 3.0 ecosystem

Authors: T Lei, Q Zhang, W Qiu, H Zheng, S Miao, W Jie, J Zhu, J Dong, Z Zheng
Journal: Blockchain 3 (1), 1-2

Year: 2025
Citations: 1

A blockchain-based access control method for large-scale electronic medical records

Authors: Z Chu, W Qiu, T Lei, J He, Q Zhang

Year: 2025

🔬 Research Focus Areas

Our research spans multiple cutting-edge domains in computer science and engineering:

Blockchain Technology

• Consensus Mechanisms: DPoS, PoS, BFT, and novel consensus protocols
• Cross-chain Interoperability: Bridge security and transaction traceability
• Smart Contract Security: Vulnerability detection and formal verification
• Blockchain Sharding: Scalability and load balancing solutions
• Privacy & Anonymity: De-anonymization techniques and privacy preservation

Federated Learning

• Multimodal Learning: Heterogeneous data and device collaboration
• Privacy-Preserving ML: Secure aggregation and differential privacy
• Edge Federated Learning: Resource-constrained device optimization
• Cross-domain Applications: Healthcare, IoT, and finance

Web 3.0 Ecosystem

• Decentralized Applications (DApps): Architecture and design patterns
• Incentive Mechanisms: Token economics and game theory
• Semantic Analysis: Transaction pattern recognition
• Web3 Security: Threat detection and mitigation

IoT & Edge Computing

• AIoT Systems: AI-powered IoT applications
• Edge Intelligence: Distributed inference and learning
• Real-time Processing: Low-latency computing solutions
• Device Collaboration: Multi-device coordination protocols

AI & Machine Learning

• Large Language Models: Smart contract code generation
• Vulnerability Detection: AI-driven security analysis
• Recommendation Systems: Unlearning and privacy
• Multimodal AI: Cross-modal learning and fusion

📊 Publication Statistics

Our research has been recognized by the academic community with publications in:

• Top-tier Journals: IEEE Transactions, Neural Networks, Science China
• Premier Conferences: IEEE INFOCOM, IEEE ICDE, IEEE GBC
• Impact Areas: Blockchain, AI, IoT, Security, Distributed Systems

🤝 Collaboration Opportunities

We actively seek collaboration with:

• Academic researchers and institutions
• Industry partners in blockchain and AI
• Open-source communities
• Graduate students and postdoctoral researchers

For collaboration inquiries, please visit our GitHub repository or contact the corresponding authors.

📚 Citation Information

If you use our research in your work, please cite the relevant publications. BibTeX entries are available on the publication pages.

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Related Topics: Blockchain Research, Federated Learning Papers, Web 3.0 Publications, Smart Contract Security, IoT Research, Edge Computing, Consensus Algorithms, Cross-chain Technology, AI Security, Machine Learning, 区块链研究, 联邦学习, 智能合约