会议信息

AI4Science 2026: International Conference on Artificial Intelligence for Science

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AI4Science
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截稿日期:
2026-07-15
通知日期:
2026-08-20
会议日期:
2026-10-23
会议地点:
Shenzhen, China
浏览: 1276   关注: 0   参加: 0

会伴指数 (CP-I)

44.2 / 100
全站第 3,124 名 / 共 5,682 个会议 · 前 55%

人工智能与机器学习 第 371 / 739

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%)
15
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：6 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 2026-09-15

征稿

AI4Science 2026 (International Conference on Artificial Intelligence for Science) is an academic conference held in Shenzhen, China on 2026-10-23. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-08-20.

The topics of interest for submission include, but are not limited to: Track 1: AI Foundations for Scientific Discovery Machine Learning Physics-informed AI Scientific Foundation Models Scientific Reasoning Causal Learning Scientific Knowledge Graphs AI-based Modeling Scientific Optimization Explainable Scientific AI Trustworthy AI Track 2: Computer Vision and Intelligent Perception Computational Imaging Image Reconstruction Computer Vision Multimodal Perception Vision Foundation Models Intelligent Sensing 3D Vision Biomedical Imaging Remote Sensing Intelligence Video Understanding Track 3: Data Intelligence and AI Systems Data Mining Data Analytics Distributed AI Parallel Computing High-performance Computing Cloud-Edge Intelligence Scientific Workflows AI Computing Systems Data-driven Modeling Intelligent Decision Systems Track 4: AI for Scientific Discovery Foundation Models for Science Autonomous Scientific Agents AI-driven Scientific Discovery AI for Materials Discovery AI for Molecular Modeling AI for Computational Biology AI for Protein Structure Prediction AI for Scientific Experimentation AI for Climate Science AI-assisted Scientific Research
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