会议信息

WASA 2026: International Conference on Wireless Artificial Intelligent Computing Systems and Applications

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截稿日期:
2026-04-10 已截稿
通知日期:
2026-05-24
会议日期:
2026-06-26
会议地点:
Xi an, China
届数:
20
CCF: C   浏览: 118453   关注: 139   参加: 47
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WASA
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会伴指数 (CP-I)

62.2 / 100
全站第 541 名 / 共 5,696 个会议 · 前 10%

人工智能与机器学习 第 43 / 741 网络与通信 第 68 / 865

学术认可 (35%)
66
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
82
社区关注 (10%)
75
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C · 有据可查的届次：20 · 在会伴关注它的研究者：139 人 · 过去 24 个月打开过本页的研究者：35 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)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 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 1.2 · 算于 2026-10-15

征稿

WASA 2026 (International Conference on Wireless Artificial Intelligent Computing Systems and Applications) is a CCF C conference held in Xi an, China on 2026-06-26. The paper submission deadline is 2026-04-10. Acceptance notifications are sent on 2026-05-24.

WASA is an international conference on algorithms, systems, and applications of wireless networks. It is designed to be a forum for theoreticians, system and application designers, protocol developers and practitioners to discuss and express their views on the current trends, challenges, and state-of-the-art solutions related to various issues in wireless networks. Topics of interests include, but are not limited to, effective and efficient state-of-the-art algorithm design and analysis, reliable and secure system development and implementations, experimental study and testbed validation, and new application exploration in wireless networks. WASA 2026 includes several research tracks covering different research areas. Track 1: AI and Machine Learning for Wireless Systems Artificial Intelligence & Machine Learning foundations ML applications in wireless networking Quantum ML for wireless communication Cross-layer optimization with AI Integration of large models in 5G and beyond Track 2: Edge/cloud computing and IoT Edge computing and cloud-native architectures Edge–cloud collaboration and orchestration Federated edge learning and distributed AI IoT architectures, protocols, and applications Algorithms, systems, and applications of IoT Operating system and middleware support for edge/cloud/IoT Programmable service interfaces for IoT and edge Track 3: Wireless Communication and Networking Wireless security and privacy AI-based security protocols in wireless networks Privacy-preserving and federated learning Trustworthy, explainable, and robust AI systems Secure data processing and management Track 5: Applications, Data Management, and Industry Case Studies Information processing and data management Data-driven network optimization Real-world applications and use cases Industry insights and case studies AI in healthcare, smart city, transportation, industrial IoT Future trends and standardization
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