Springer |第七届区块链、人工智能和可信系统国际会议（BlockSys’2025）

General Chairs

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Keqin Li

State University of New York

Program Chairs

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Jianguo Chen

Sun Yat-sen University

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Zhetao Li

Jinan University

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Yuanlong Yu

Fuzhou University

Organization Chairs

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Jigang Wu

Guangdong University of Technology

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Mingzhi Mao

Sun Yat-sen University

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Jin Zhang

Changsha University of Science & Technology

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Buqing Cao

Hunan University of Technology

Publication Chairs

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Xiaokang Zhou

Kansai University

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Zhongming Yang

Guangdong University of Science & Techonology

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Xiaofeng Zhang

Beijing Institute of Technology

Publicity Chairs

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Zhenli He

Yunnan University

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Xiaozhu Zhu

Guilin University Of Electronic Technology

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Xiaoshuang Xing

Changshu Institute of Technology

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Haolin Liu

Xiangtan University

Industrial Chairs

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Xulei Yang

Agency for Science, Technology and Research, Singapore

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Lianbing Deng

Qinzhi Technology Research Institute

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Jiaping Wang

International Digital Economy Academy

Web Chair

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 Peilin Zheng 

Sun Yat-sen University

Advisory Board

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Huaimin Wang

National University of Defense Technology

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Jiannong Cao

The Hong Kong Polytechnic University

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Kuan-Ching Li

Providence University

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Michael R. Lyu

The Chinese University of Hong Kong

Steering Committee

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Hong-Ning Dai

Hong Kong Baptist University

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Xiapu Luo

The Hong Kong Polytechnic University

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Yan Zhang

University of Oslo

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Zibin Zheng

Sun Yat-sen University

Blockchain Technology:

• Advances in blockchain protocols and architectures
• Smart contracts and decentralized applications
• Security, privacy, scalability, and interoperability of blockchain systems
• Blockchain integration with emerging technologies
• Blockchain in supply chain and logistics
• Blockchain for digital identity and authentication

区块链技术：

• 区块链协议和架构前沿技术
• 智能合约和去中心化应用程序
• 区块链系统的安全性、隐私性、可扩展性和互操作性
• 区块链与新兴技术融合
• 供应链和物流中的区块链
• 面向数字身份和身份验证的区块链

Artificial Intelligence:

• Advances in machine learning, deep learning, and AI algorithms
• AI ethics, fairness, and transparency
• Explainable AI and interpretability
• AI-driven data analysis and visualization
• Reinforcement learning and robotics
• AI applications in healthcare, finance, and industry
• AI applications in data analysis, decision-making, and automation
• Synergies between AI and blockchain technologies
• AI-driven innovations in trustworthy systems

人工智能：

• 机器学习、深度学习和人工智能前沿技术
• 人工智能伦理、公平性和透明度
• 可解释的人工智能
• 人工智能驱动的数据分析和可视化
• 强化学习和机器人技术
• 人工智能在医疗保健、金融和工业领域中应用
• 人工智能在数据分析、决策和自动化中的应用
• 人工智能和区块链技术的协同作用
• 可信系统中人工智能驱动的创新

Trustworthy Systems:

• Techniques for enhancing system reliability and robustness
• Privacy-preserving methods and trust management
• Risk assessment and mitigation strategies
• Compliance and regulatory issues
• Frameworks for ensuring system trustworthiness
• Ethical and societal impacts of technology
• Policy and regulatory considerations

可信系统：

• 增强系统可靠性和稳健性的技术
• 隐私保护方法和信任管理
• 风险评估和缓解策略
• 合规和监管问题
• 确保系统可信度的框架
• 技术的道德和社会影响
• 政策和监管考虑

Cross-disciplinary Research:

• Integration of blockchain and AI for improved security and reliability
• Innovative solutions at the nexus of blockchain, AI, and trustworthy systems
• Case studies showcasing successful applications and challenges

跨学科研究：

• 区块链与人工智能融合
• 区块链、人工智能和可信系统结合处的创新解决方案
• 跨学科应用案例研究