Conference Information

ICONIP 2026: International Conference on Neural Information Processing

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Submission Date:
2026-05-10
Notification Date:
2026-07-15
Conference Date:
2026-11-23
Location:
Melbourne, Australia
Years:
33
CCF: C   ICORE: B   QUALIS: B1   Viewed: 3067145   Tracked: 387   Attend: 139

Conference Partner Index (CP-I)

79.9 / 100
Ranked #200 of 5,682 conferences · Top 4%

#19 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
78
Submission selectivity (20%)
75
Editions held (20%)
95
Community attention (10%)
89
Public record completeness (15%)
65

Inputs used: Listed as CCF C, ICORE B, QUALIS B1 · Acceptance rate: 32.9% (mean of 1 editions on file) · Editions on record: 33 · Researchers following it here: 387 · Researchers who opened this page in the past 24 months: 89

Missing from the public record: 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 100% - 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 2026-09-19

Call For Papers

ICONIP 2026 (International Conference on Neural Information Processing) is a CCF C / ICORE B / QUALIS B1 conference held in Melbourne, Australia on 2026-11-23. The paper submission deadline is 2026-05-10. Acceptance notifications are sent on 2026-07-15.

ICONIP 2026 welcomes contributions across theory, algorithms, models, methodologies, applications, and emerging frontiers including (but not limited to): Theory and Algorithms Machine learning theory Neural network architectures Explainable and interpretable AI Neurodynamics and computational models Responsible and trustworthy AI Neuroscience & Cognition Computational neuroscience Models of learning and cognition Neural data analysis Brain–machine interfaces Computational psychiatry Applications & Frontiers Generative AI Natural language processing Robotics, automation, and control Healthcare and biomedical applications Big data analytics Information security and privacy Neuromorphic computing AI governance and societal impact
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 32.9% over 1 years (2006–2006).

YearSubmittedAcceptedAccepted(%)
2006117538632.9%

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