IJCNN 2026
IEEE/INNS IJCNN 是神经网络理论、分析及应用领域的首席国际会议。自创立以来,IJCNN 在促进研究人员与实践者之间的互动以及传播神经网络及相关机器学习领域的知识方面发挥着领导作用。
重要信息
- CCF 推荐等级: C(人工智能)
- 录用率: 38.7%(2025 年数据:2142/5526)
- 时间地点: 2026 年 6 月 21 日,荷兰马斯特里赫特
- 截稿时间: 2026 年 1 月 31 日
- 大会官网: https://attend.ieee.org/wcci-2026/
Call for Papers
本次会议征集的主题包括但不限于:
- Brain-machine Interfaces
- Cognitive Models
- Collective & Ensemble Intelligence
- Computational Neuroscience
- Dynamic Neural Networks
- Efficient and Tiny Neural Networks
- Ethics and Regulation in AI
- Generative AI Models
- Graph Neural Networks
- Industrial applications
- Interpretable and Explainable AI
- Large Language Models
- Large-Scale Neural Networks
- Mixture of Experts
- Modular Neural Networks
- Neural Engineering
- Neural Network Applications
- Neural Networks for Sciences
- Neuromorphic Systems
- Neurosymbolic AI
- Perceptual Neural Networks
- Physics-inspired Neural Networks and Neural Operators
- Quantum Neural Networks
- Reinforcement Learning
- Representation & Reasoning
- Reservoir & Echo-State Networks
- Spiking Neural Networks
- Theory of Neural Networks
- Transformer Networks
- Trustworthy and Reliable AI
- Unsupervised Learning
Submission Format
所有论文必须使用 IEEE 会议论文集模板提交,正文字体为 10pt。LaTeX 用户需使用以下文档类设置:
\documentclass[10pt,conference]{IEEEtran}
Page limitations
- Full papers: 最多 6 页。
- 额外页数: 每篇全文最多允许 2 页额外内容页(即最多 8 页),超出部分按注册页面规定的标准收取额外费用。

