Conference Information

ICAIGC 2027: IEEE International Conference on Artificial Intelligence and Generated Content

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Submission Date:
2027-02-20 Due in 118 days
Notification Date:
2027-03-20
Conference Date:
2027-08-14
Location:
Melaka, Malaysia
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Conference Partner Index (CP-I)

43.6 / 100
Ranked #3,536 of 5,759 conferences · Top 62%

#439 of 751 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 2

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 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-24

Call For Papers

ICAIGC 2027 (IEEE International Conference on Artificial Intelligence and Generated Content) is an academic conference held in Melaka, Malaysia on 2027-08-14. The paper submission deadline is 2027-02-20. Acceptance notifications are sent on 2027-03-20.

We invite original, high-quality contributions advancing Artificial Intelligence and Generated Content, including but not limited to the topics below. Topics of interest include, but are not limited to: Topic 1: Foundations, Architecture, and Generative Modeling Paradigms Generative AI and Foundation Models Large Language Models (LLMs) and Alignment Diffusion, Flow and Score-based Generative Models Autoregressive and Energy-Based Generative Models Self-Supervised and Representation Learning for Generation Model Scaling Laws and Architectural Innovations Advanced Neural Network Architectures for Synthesis Model Compression, Distillation and Pruning Efficient Training and Optimization Strategies Theoretical Foundations of Generative Adversarial Networks Topic 2: Multimodal Understanding, Cross-Modal Synthesis, and Content Creation Multimodal Learning and Understanding AI-Generated Content (AIGC) Systems & Pipelines Text-to-Image / Text-to-Video / Text-to-3D Generation Cross-Modal Retrieval and Alignment Techniques Creative AI, Art and Digital Media Synthesis Audio, Speech and Music Generation Frameworks Interactive 3D Asset Generation and Rendering Immersive Virtual Reality and Game Content Generation Human-AI Co-creation and Design Workflows Cross-Modal Storytelling and Narrative Generation Topic 3: Trustworthiness, Safety, Governance, and Evaluation of Generative Models AI Safety, Security, Ethics and Governance Evaluation, Benchmarking and Hallucination Control Copyright, Provenance and Watermarking of AIGC Robustness, Adversarial Defense and Trustworthiness Data Privacy, Fairness and Bias Mitigation Fake Content Detection and Forensic Techniques Regulatory Frameworks and Policy Compliance for AIGC Explainability and Interpretability of Generative Outputs Content Moderation and Risk Management in LLMs Secure Deployment and Red Teaming Methodologies Topic 4: Interdisciplinary Applications: Science, Agents, Edge Computing, and Society AI for Science, Engineering and Discovery AI Agents and Autonomous Content Workflows Efficient & Edge Generation (distillation, quantization) Generative AI in Healthcare and Biomedical Data Intelligent Educational Technologies and Pedagogical Generation Autonomous Multi-Agent Collaboration Systems Edge-Device Deployment and Hardware Acceleration Industrial IoT and Smart City Applications of AIGC Socio-Economic Impacts and Sustainable AI Deployment Financial Modeling and Enterprise Process Automation Special Tracks To address cutting-edge research frontiers and emerging interdisciplinary directions in artificial intelligence and generated content, ICAIGC 2027 features a series of dedicated Special Tracks. These tracks are curated to foster intensive academic discussions, encourage focused technological explorations, and highlight specialized applications. We warmly invite prospective researchers and experts to lead or contribute to the following specialized tracks: 1 Multimodal Foundation Models and Cross-Modal Generation Complex creative content generation across text, image, audio, and video. 2 Trustworthy Large Language Models Alignment, factuality, and robust security governance for LLMs. 3 Generative AI for Science & Engineering Scientific discovery and advanced engineering systems powered by generative models. 4 Efficient Foundation Models on Edge Devices Training, quantization, and deployment on resource-constrained hardware. 5 AIGC in Digital Media, VR & Gaming Immersive virtual reality and interactive gaming ecosystems. 6 Copyright, Watermarking & Forensics Verifying authentic AI-generated media and protecting intellectual property. 7 AI in Education & Content Generation Intelligent educational technologies driven by large models. 8 Generative AI in Healthcare Medical imaging and biomedical data synthesis applications. 9 Autonomous Agents & Multi-Agent Systems Collaborative workflows powered by generative models. 10 Socio-Economic Impact & Policy Ethical frameworks and policy regulations for sustainable AIGC deployment.
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