会议信息

WCNCA 2026: The World Computing-Power Network Conference-Academic

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WCNCA
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截稿日期:
2026-07-31
通知日期:
2026-08-31
会议日期:
2026-10-15
会议地点:
Shenzhen, China
浏览: 1002   关注: 0   参加: 0

会伴指数 (CP-I)

44.4 / 100
全站第 3,059 名 / 共 5,683 个会议 · 前 54%
证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
16
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：8 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 25% —— 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 2026-09-22

征稿

WCNCA 2026 (The World Computing-Power Network Conference-Academic) is an academic conference held in Shenzhen, China on 2026-10-15. The paper submission deadline is 2026-07-31. Acceptance notifications are sent on 2026-08-31.

Description The World Computing-Power Network Conference-Academic 2026 (WCNCA 2026) invites original technical research contributions in the broad field of computing-power networks and related technologies. WCNCA 2026 aims to create an interdisciplinary forum for the emerging field of computing-power networks, where optical communication, networking, AI infrastructure, high-performance computing systems, and AI for Science are increasingly converging. The rapid growth of large-scale AI, scientific computing, and data-intensive applications requires new networked computing infrastructures that integrate high-capacity optical transport, intelligent networking, distributed computing, computing resource scheduling, and application-driven AI systems. Existing research is often scattered across separate communities, and WCNCA 2026 seeks to bridge these areas and promote cross-layer innovation. We welcome original research papers, technical papers, system papers, and industrial experience papers that present novel ideas, rigorous methods, practical systems, experimental evaluations, or insightful deployment experiences. Topics of Interest Topics of interest include, but are not limited to: Computing-power network architecture and interoperability Computing-power network data and infrastructure Computer architecture and systems AI and computing resource scheduling AI-computing convergence and intelligent infrastructure Large-scale AI training, deployment, and serving High-performance computing systems Distributed and collaborative computing Cloud-edge-network collaborative computing Optical communication and high-speed interconnects Optical networks for computing-power infrastructure Intelligent networking and AI-native communication systems Network protocols, routing, and resource orchestration Computing-as-a-Service and inclusive applications AI for Science and scientific computing applications Data infrastructure and data circulation Computing security and trusted governance Green, sustainable, and energy-efficient computing networks Industrial practices, testbeds, and deployment experiences
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