Conference Information

HNNDL 2027: International Conference on Human-Computer Interaction, Neural Networks and Deep Learning

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Submission Date:
2026-11-03 Due in 28 days
Notification Date:
2026-12-08
Conference Date:
2027-01-22
Location:
Qingdao, China
Years:
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HNNDL
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Conference Partner Index (CP-I)

42.9 / 100
Ranked #3,810 of 5,693 conferences · Top 67%

#118 of 154 in Human-Computer Interaction #485 of 742 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
12
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-06

Call For Papers

HNNDL 2027 (International Conference on Human-Computer Interaction, Neural Networks and Deep Learning) is an academic conference held in Qingdao, China on 2027-01-22. The paper submission deadline is 2026-11-03. Acceptance notifications are sent on 2026-12-08.

2027 2nd International Conference on Human-Computer Interaction, Neural Networks and Deep Learning provides a premier forum for the presentation of new advances and research results in the fields of Human-Computer Interaction, Neural Networks and Deep Learning. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world. 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
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