IJCNN 2026
The annual IEEE/INNS IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Since its inception, IJCNN has been playing a leading role in promoting and facilitating interaction among researchers and practitioners, and dissemination of knowledge in neural networks and related facets of machine learning.
This year IEEE/INNS IJCNN 2026 is a part of the WCCI2026. IJCNN 2026 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field.
重要信息
CCF推荐：C（人工智能）
录用率：38.7%（2142/5526，2025年）
时间地点：2026年6月21日-马斯特里赫特·荷兰
截稿时间：2026年1月31日
大会官网：https://attend.ieee.org/wcci-2026/
Call for Papers
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
All papers must be submitted using the IEEE conference proceedings template with body text in 10pt type. LaTeX users must use \documentclass10pt,conference{IEEEtran}.
Page limitations
Full papers: papers of up to 6 pages. A maximum of two extra content pages per full paper is allowed (i.e, up to 8 pages), at an additional charge per extra page as specified in the registration page.