Conference Information

PRICAI 2026: Pacific Rim International Conference on Artificial Intelligence

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Submission Date:
2026-06-27 Extended
Notification Date:
2026-08-18
Conference Date:
2026-11-17
Location:
Guangzhou, China
Years:
Organizer:
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CCF: C   ICORE: B   Viewed: 290078   Tracked: 313   Attend: 84
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PRICAI
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Conference Partner Index (CP-I)

74.6 / 100
Ranked #270 of 5,694 conferences · Top 5%

#23 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
97
Community attention (10%)
95
Public record completeness (15%)
70

Inputs used: Listed as CCF C, ICORE B · Editions on record: 36 · Researchers following it here: 313 · Researchers who opened this page in the past 24 months: 203

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

Confidence 80% - 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 2026-10-09

Call For Papers

PRICAI 2026 (Pacific Rim International Conference on Artificial Intelligence) is a CCF C / ICORE B conference held in Guangzhou, China on 2026-11-17. The paper submission deadline is 2026-06-27 (extended). Acceptance notifications are sent on 2026-08-18.

Topics of Interest The areas of interest include, but are not limited to: AI Foundations & Theory AI Foundations Reasoning Planning & Scheduling Decision Theory Game Theory Machine Learning & Models Machine Learning Neural Networks & Deep Learning Bayesian/Markov Networks Evolutionary Computation Generative AI Large Language Models Foundational Models Natural Language & Multimodal Natural Language Processing Speech & Dialogue Systems Text/Web Mining Multimodal Interaction Vision & Perception Computer Vision Vision & Perception Cognitive Systems Multimedia & Arts Intelligent Systems & Applications Agents Robotics Internet of Things Bioinformatics Education & Tutoring Systems Social Intelligence Data & Knowledge Big Data Analytics Data Mining & Knowledge Discovery Knowledge Representation Semantic Web Ontology & Knowledge Management Responsible AI AI Regulations & Ethics Responsible AI Trustworthy AI Fairness & Social Choice Explainable AI
Last updated by Wenjun Ma on

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