Conference Information

AIBDF 2026: International Conference on Artificial Intelligence and Big Data

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Submission Date:
2026-10-03 Due in 18 days
Notification Date:
2026-11-03
Conference Date:
2026-12-18
Location:
Chengdu, China
Years:
Viewed: 10810   Tracked: 1   Attend: 2

Conference Partner Index (CP-I)

48.1 / 100
Ranked #2,024 of 5,682 conferences · Top 36%

#116 of 337 in Data Mining & Databases #210 of 739 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%)
52
Community attention (10%)
19
Public record completeness (15%)
55

Inputs used: Editions on record: 6 · Researchers following it here: 1 · 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 2026-09-15

Call For Papers

AIBDF 2026 (International Conference on Artificial Intelligence and Big Data) is an academic conference held in Chengdu, China on 2026-12-18. The paper submission deadline is 2026-10-03. Acceptance notifications are sent on 2026-11-03.

The topics of interest for submission include, but are not limited to: Artificial intelligence 1.Core theories and algorithms Natural language processing Fuzzy Logic and Soft Computing Machine learning Deep learning Artificial intelligence Knowledge representation and reasoning Reinforcement learning Meta-learning and transfer learning Explainable Artificial Intelligence (XAI) Generative AI and Diffusion Models Artificial intelligence logic and reasoning 2.Perception and cognitive technology Natural language processing Computer Vision Speech recognition and processing Pattern recognition Multimodal learning Affective computing Brain-computer interface Cognitive computing Biometric identification LLM (Large Language Model) 3.Intelligent Systems and applications Intelligent robot Autonomous driving system Intelligent Internet of Things (AIoT) Intelligent sensor network Ubiquitous computing Intelligent control Intelligent hardware architecture Distributed AI system 4.Frontier cross-disciplinary direction Cyber security AI Security and Privacy AI Ethics and Governance AI+ Scientific Computing Edge intelligence Federated learning Neuromorphic computation Neural network computing AI+ Blockchain Quantum machine learning Big data technology 1.Data processing and analysis Big data mining Image processing Signal processing Data visualization Data analysis Graph data analysis Unstructured data processing Data governance Data quality assessment Data privacy protection 2.Computing and Storage Cloud computing technology/application High-performance computing Intelligent computing Edge computing Embedded computing Distributed computing In-memory computing Stream computing Database management Data warehouse Data storage Big data protection New storage architecture 3.Intelligent application system Decision Support System Digital twin Smart City Industrial big data Medical and health big data Fintech big data Educational big data Environmental big data Big data prediction 4.Cutting-edge cross-disciplinary technology The integration of big data and AI Big data + Blockchain Big data + quantum computing Big data security Big data visualization analysis Multimodal big data processing Real-time big data system Green big data computing Computational modeling Big Data and the Internet of Things The application of big data in various industries
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