HNNDL 2026
2026 International Conference on Human-Computer Interaction, Neural Networks and Deep Learning (HNNDL 2026) will be held in Shanghai from January 9 to 11, 2026.
Conference Website: https://ais.cn/u/Afamiq
---Call for papers---
The topics of interest for submission include, but are not limited to:
◕Human-Computer Interaction
Intelligent User Interfaces
Human-AI Collaboration
Affective Computing
Virtual and Augmented Reality
Brain-Computer Interfaces
Adaptive Interaction Systems
Eye-Tracking Interaction
Gesture and Speech Interaction
Usability and Accessibility
Multimodal Interaction
Human Behavior Analysis
Cognitive Modeling
Intelligent Agents
Personalized Interaction
Embodied Interaction
◕Neural Networks
Neural Network Architectures
Convolutional Neural Networks
Recurrent Neural Networks
Spiking Neural Networks
Graph Neural Networks
Attention Mechanisms
Neural Network Optimization
Transfer Learning
Neural Information Processing
Bio-inspired Neural Models
Reinforcement Learning
Self-Organizing Networks
Federated Neural Learning
Explainable Neural Models
Neural Computation for HCI
◕ Deep Learning
Deep Representation Learning
Generative Models
Multimodal Deep Learning
Self-Supervised Learning
Large Language Models
Deep Reinforcement Learning
Few-shot and Zero-shot Learning
Explainable Deep Learning
Edge and Cloud Deep Learning
Trustworthy AI
Deep Learning for HCI
Vision-Language Models
Emotion Recognition
Adaptive Deep Systems
Deep Learning for Robotics
---Publication---
All papers submitted to HNNDL 2026 will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: December 11, 2025
Registration Deadline: December 25, 2025
Final Paper Submission Date: December 25, 2025
Conference Dates: January 9-11, 2026
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
https://ais.cn/u/Afamiq