会议信息

AIBT 2026: International Conference on Artificial Intelligence and Blockchain Technology

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截稿日期:
2026-09-15 Extended
通知日期:
2026-10-15
会议日期:
2026-11-27
会议地点:
Shanghai, China
届数:
5
主办方:
浏览: 19267   关注: 0   参加: 0

会伴指数 (CP-I)

44.4 / 100
全站第 3,068 名 / 共 5,683 个会议 · 前 54%

安全与隐私 第 188 / 360 人工智能与机器学习 第 356 / 740

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
48
社区关注 (10%)
20
资料公开度 (15%)
35

用到的输入: 有据可查的届次：5 · 过去 24 个月打开过本页的研究者：13 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
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置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-21

征稿

AIBT 2026 (International Conference on Artificial Intelligence and Blockchain Technology) is an academic conference held in Shanghai, China on 2026-11-27. The paper submission deadline is 2026-09-15 (extended). Acceptance notifications are sent on 2026-10-15.

Blockchain is a distributed database technology that connects data blocks in an orderly manner and ensures its tamper ability and forgery by means of cryptography. Generally speaking, blockchain technology can realize the openness, transparency, tamper ability, forgery and traceability of all data information in the system without the endorsement of a third party. As a kind of underlying protocol or technical solution, blockchain can effectively solve the trust problem and realize the free transfer of value. It has a broad prospect in the fields of digital currency, financial assets transaction settlement, digital government affairs, security data services and so on. Topics of interest for submission include, but are not limited to: Track 1: Artificial Intelligence Foundations and Methods (人工智能基础与方法) • Machine Learning and Deep Learning • Large Language Models (LLMs) and Foundation Models • Reinforcement Learning and Multi-Agent Systems • Federated Learning and Distributed Intelligence • Explainable AI (XAI) and Trustworthy AI • Causal Learning and Decision Intelligence • AI for Optimization and Decision-Making Track 2: Blockchain Technologies and Systems（区块链技术与系统） • Blockchain Architecture and Protocol Design • Consensus Mechanisms and Distributed Ledger Technologies • Smart Contracts and Formal Verification • Scalability, Interoperability, and Cross-chain Technologies • Privacy-preserving Blockchain (e.g., Zero-Knowledge Proofs, MPC) • Token Economy and Incentive Mechanisms • Blockchain Performance Optimization Track 3: AI for Blockchain（人工智能赋能区块链） • AI-based Blockchain Optimization and Resource Management • Intelligent Consensus and Adaptive Protocols • Anomaly Detection and Fraud Prevention in Blockchain Systems • Smart Contract Analysis using AI • Predictive Analytics for Blockchain Networks • AI-driven Blockchain Security Track 4: Blockchain for AI（区块链赋能人工智能） • Trusted AI and Decentralized AI Systems • Data Provenance, Sharing, and Secure Data Markets • Blockchain-based Federated Learning Frameworks • Decentralized Model Training and Incentive Mechanisms • Model Ownership Protection and Intellectual Property Management • Auditability and Traceability of AI Decisions Track 5: Applications and Emerging Scenarios（应用与新兴场景） • AI + Blockchain in Finance (FinTech, DeFi) • Healthcare and Medical Data Intelligence • Smart Cities and Intelligent Transportation • Supply Chain Management and Digital Twins • Industrial Internet and Smart Manufacturing • Energy Systems and Green Computing • Web3, Metaverse, and Digital Economy Track 6: Systems, Platforms, and Experimental Studies（系统与实验研究） • Prototype Systems and Testbeds • Benchmarking and Performance Evaluation • Real-world Deployments and Case Studies • Open-source Platforms and Tools • Industrial Applications and Best Practices
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