Conference Information

HCIML 2027: International Conference on Human-Computer Interaction and Machine Learning

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Submission Date:
2027-03-20 Due in 176 days
Notification Date:
2027-04-20
Conference Date:
2027-06-04
Location:
Fushun, China
Years:
Viewed: 1143   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

40.0 / 100
Ranked #5,068 of 5,687 conferences · Top 90%

#140 of 154 in Human-Computer Interaction #651 of 741 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%)
13
Public record completeness (15%)
35

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 2026-09-25

Call For Papers

HCIML 2027 (International Conference on Human-Computer Interaction and Machine Learning) is an academic conference held in Fushun, China on 2027-06-04. The paper submission deadline is 2027-03-20. Acceptance notifications are sent on 2027-04-20.

2027 3rd International Conference on Human-Computer Interaction and Machine Learning provides a premier forum for the presentation of new advances and research results in the fields of Human-Computer Interaction and Machine Learning. The conference will bring together leading researchers, scholars and scientists in the domain of interest from around the world. The topics of interest for submission include, but are not limited to: ◕ Track 1: Human-Computer Interaction Multimodal Interaction Natural User Interfaces Affective Computing and Emotional Interaction Brain-Computer Interface and Neural HCI Ubiquitous Computing and Context-Aware Interaction Interactive Data Visualization and Visual Analytics Virtual, Augmented, and Mixed Reality Interaction Human-AI Collaboration and Intelligence Augmentation Interaction Design and UX Evaluation Methods Accessibility and Inclusive Design Social Robotics and Human-Robot Dialogue Interaction Sustainable HCI Mobile and Wearable Interaction Computer-Supported Cooperative Work Privacy, Security, and Ethics in HCI Child-Computer Interaction Embodied and Spatial Interaction ◕ Track 2: Machine Learning Foundations and Algorithms of Large Language Models Generative Models and Creative AI Explainable AI and Trustworthy Machine Learning Robustness and Adversarial Machine Learning Federated Learning and Distributed Machine Learning Self-Supervised and Unsupervised Learning Graph Machine Learning Few-Shot Learning and Transfer Learning Reinforcement Learning and Intelligent Decision-Making Multimodal Machine Learning Neural-Symbolic Integration AI for Science Online Learning and Continual Learning Machine Learning Systems and Hardware Acceleration Bio-Inspired Learning Algorithms Security and Privacy in Machine Learning Efficiency Optimization of Machine Learning Models
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