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/VrY7ze

—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/VrY7ze